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FINAL REPORT




           CONSULTANCY SERVICES FOR BUSINESS
           DEVELOPMENT SERVICES (BDS) MARKET
                  DIAGNOSTIC IN KENYA

                                   CONDUCTED BY:




                                   FIT RESOURCES




                SUBMITTED TO:
EAST AFRICA DAIRY DEVELOPMENT (EADD) PROJECT

FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA           1
FIT RESOURCES JANUARY 2009
JANUARY 2009




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA            2
FIT RESOURCES JANUARY 2009
CONTENTS


Background and introduction                                                            4
Methodology and activities                                                             4
       Preplanning                                                                     5
       Training                                                                        6
       Field work                                                                      6
               Sampling                                                                7
               Key challenges of fieldwork                                             7
       Data processing                                                                 8
       Presentations                                                                   8
       Key conclusions of the methodology                                              8
Findings of fieldwork and data analysis                                               10
CONSUMER SURVEY by location                                                           10
       Locations covered and key informants interviewed                               10
       Targeted SME consumers interviewed                                             10
       Market profiles                                                                12
       Key demand side constraints and opportunities                                  18
       Business development services that address those constraints and               31
       opportunities
       Specific policy constraints that are affecting MSE product markets             31
SUPPLIER DIAGNOSTIC by location                                                       32
       Existing providers/ services and their locations                               32
       A workable data base of the BDS actors                                         33
       BDS suppliers interviewed                                                      33
       Types of services and price of services, how providers cover costs,            34
       profitability, existing contractual arrangements and promotional/marketing
       strategies
       Capacity gaps of interviewed suppliers                                         40
       Priority supply side constraints, market failures, and market opportunities    40
       Comparison of interviewed suppliers                                            44
       The enabling environment for BDS                                               47
Conclusions                                                                           48
       Characteristics of the market for BDS in each specific region in relation to   48
       existing supply, demand and transactions
       An insight into the potential of each target market location                   51
       Level of market distortion                                                     51
       Comparative information on the in-country sites and the 3 markets              52
Recommendations                                                                       53
       Other current or proposed dairy sector interventions                           53
       Sustainable solutions to address priority market constraints and market        53
       failures
       Illustrative market based interventions                                        59
       Approaches and methodologies                                                   62
       Strategies which ensure effectiveness and efficiency                           63
       Strategies which ensure sustainability                                         69
FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                   3
FIT RESOURCES JANUARY 2009
Suggested BDS providers/delivery channels to target       for   future   72
     interventions
     Selecting appropriate BDS providers                                      72
     BDS performance measurements at the BDS market level                     73
Annexes                                                                       78
     Database of SME actors including persons interviewed
     Database of BDS suppliers including persons interviewed
     Database of targeted suppliers
     Itinerary
     FIT/RI scope of work
     Final instruments
     Data collected
     BDS training report
     Researcher training report




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                           4
FIT RESOURCES JANUARY 2009
Background and introduction


In a bid to improve life through poverty reduction, a consortium of organisations
comprising of Heifer International as lead, TechnoServe Inc, ILRI, ABS-TCM and ICRAF
launched a 4 year program dubbed EADD (East Africa Dairy Development) funded by Bill
and Melinda Gates Foundation. The programme aims to move smallholder farmers out of
poverty by delivering farmer-focused, value-chain activities that are implemented
simultaneously to stimulate dairy farm production, dairy-sector services, business
development and dairy market pull. The vision of success for the EADD is that the lives of
179,000 families—or approximately one million people—are transformed by doubling
household dairy income by 2018 through integrated interventions in dairy production,
market-access and knowledge application.

The consortium deemed it important to carry out a market assessment to understand the
characteristics of the BDS markets in relation to existing supply, demand and transactions
in the dairy sectors in some key sites in Kenya, Uganda and Rwanda. The information
would:
    • Provide an insight into the potential of each market
    • Clarify opportunities for interventions
    • Define broad strategic approaches

FIT Resources Kenya (FIT) in collaboration with Research International East Africa Ltd
(RIEAL) were contracted to coordinate the market diagnostic in key locations in Kenya.
The findings and recommendations of this consultancy will contribute to the market
focused, sub sector approach of the EADD aimed at improving the functioning of BDS
markets. The final scope of work is attached to this report (Annexes/Final Revised
SOW).

FIT Resources act as the lead agency and contract holder, to provide strategic leadership
in devising and conducting the business development service consumer research and
supplier diagnostic. Research International conduct the field work as a sub contractor, to
collect primary and secondary qualitative and quantitative information, analyse, process
and present the data.



Methodology and activities


To achieve the above results the following activities were agreed on:
   • Preplanning (planning meetings, research boundaries on the basis of project
     resources,      existing   sub       sector     information,   market    assessment
     goal/objectives/research hypothesis, developing and testing the tools, screening
     interviewers, target locations in each country, preliminary key informants, other
     current or proposed interventions)
   • Training (training of EADD staff, field research teams and BDS training workshop)


FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                 5
FIT RESOURCES JANUARY 2009
• Field work (target groups, sample size, areas covered, team structure, consumer
     survey and supplier diagnostic)
   • Data processing (developing the data base of BDS actors, profiling the markets,
     choose priority constraints, identifying and scoping out sustainable solutions,
     defining ‘illustrative’ market based interventions and strategies, suggest appropriate
     BDS providers, establishing comparative information, identifying BDS performance
     measurements)
   • Presentations (stakeholder workshops and final presentation)

Preplanning

Relevant background information was sourced via a series of planning meeting with
Technoserve and EADD consortium members. Meeting presentations and minutes are
attached to this report (Annexes/Process meetings). These meetings also included
setting the research boundaries on the basis of project resources, preliminary selection of
target locations and the agreed definition of ‘small holder farmer’.

The market assessment goal, objectives and research hypothesis were agreed as follows:

The market assessment goal is:
To understand the characteristics of the BDS markets in relation to existing supply,
demand and transactions in key sites in Kenya.

The market assessment objectives are:
   • To provide an insight into the potential of each market
   • To clarify opportunities for interventions
   • To define broad strategic approaches

The research hypothesis is:
If current BDS market dynamics are better understood then strategic approaches and
interventions can be devised to develop BDS markets in a sustainable manner and benefit
SMEs.

It was agreed that the FIT/RI team would build capacity of the project staff to undertake
future market assessments during the life of the project. Due to budget constraints a
targeted number of sites were discussed that affords the best opportunities to kick-off the
project and generate some ‘quick wins’. A training itinerary was also agreed upon to
capacitate EADD project staff in BDS and research skills. FIT Resources provided lead for
the overall assignment and liaison with Technoserve and the country office on all the pre
planning activities. FIT Resources coordinated the field preparation with Research
International and Technoserve including: tool development and testing, researcher
selection and training and itinerary development. Different tools were developed to cover
the demand (consumer) side and supply (supplier) side of the market. The final
instruments and itinerary are attached to this report (Annexes/Final Instruments). The
following activities were undertaken prior to the commencement of fieldwork: screening of
team members, preparation and translation of questionnaires and preparation of reporting
tools and manuals. Research International personnel met field staff/counterparts and
finalised the selection of target locations and identification of key informants in each
location. Research International finalised the training of field researchers including EADD
project staff and preparations for field research.
FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                  6
FIT RESOURCES JANUARY 2009
No secondary information was used as the project is building on a baseline survey and an
existing value chain assessment. The comprehensive examination of targeted BDS
markets and value chains will assist EADD in designing systemic solutions to key market
problems. The two subsystems—BDS markets and value chains—are complementary
components of the larger market system into which MSEs must integrate.

Training

   1. BDS training workshop - FIT Resources personnel implemented an in-depth staff
      stakeholder training in Kenya. This 2 day formal training in diagnostic skills covered
      the principles and practices of BDS, BDS market development, BDS market
      assessment and BDS market development programme design and performance
      measurement. The aim of this training was to capacitate project staff and provide
      stakeholders with a contextual framework for the research. The workshop
      presentations, training materials and training reports are attached (Annexes/BDS
      Training).

   2. Training of field research teams - teams including Technoserve and consortium
      member staffs, were subject to an in country briefing session prior to fieldwork
      commencement. The training sessions covered methodology of the assessment
      stages, sampling, tools and stimulus methods to use with market players and how
      to complete reporting formats. The aim of this training was to capacitate project
      staff to engage in further market diagnostics beyond the life of this collaboration.
      The workshop presentation and training reports are attached (Annexes/Research
      Training).

Field work

In order to complete this assignment within the defined period, a large team of
interviewers, team-leaders and supervisors were assigned. Team members were recruited
from the RIEAL regional offices, according to specifications based on experience and
qualifications. The RIEAL Principle Researcher and a field coordinator coordinated the
research at all stages, and focused on ensuring that outputs were planned in advance so
time-schedules were met. They worked alongside the RIEAL existing field management
structure that forms the line management for the field departments. Daily reporting of
results and activities from each team was channeled back through this central
management team.

Research International led and implemented the field research in collaboration with EADD
project staff. However no staffs were on the ground during the Kenya fieldwork.
Consultations and market observation were undertaken during the fieldwork which
included visiting identified target locations plus identifying and holding interviews with key
informants and targeted dairy sector stakeholders relevant to the selected sites.

Consumer survey - Consumer research was implemented with a selection of consumers
from the core market itself with a focus on farmers and chilling plant stakeholders.
However the definition regarding ‘small holder farmer’ was reviewed and altered during a
process meeting and the ceiling lifted of the number of cows as many farmers in Uganda
and Rwanda are large compared to Kenya’s extensive small holder population.
FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                     7
FIT RESOURCES JANUARY 2009
Constraints and opportunities were then identified in the areas of market access, input
supply, technology/product development, management and organisation, policy, finance
and infrastructure. The size and strength of the market in each specific area of the country
for those services was estimated broadly plus key sub sector constraints, market failures
and market opportunities defined from the demand side. Key business development
services were identified that address the specific constraints and opportunities.

Supplier diagnostic - Based on the identified priority services, relevant suppliers were
identified and a supplier survey implemented with service providers from the support
markets to determine who is supplying BDS and how. Constraints, market failures and
opportunities were then determined from the supply side. A comparison of suppliers was
also undertaken and the level of market distortion anticipated. Stakeholders from the
business environment such as local authorities, regulators/policy makers were contacted
as required to provide an overview of the business environment. Fieldwork commenced on
15th November and ended on 30th November. Three separate field teams of 6
enumerators were used with each team covering 2 sites. The three teams were
supervised by 2 co-ordinators who visited all the 6 sites. The sites covered in the survey
are shown below:

      Mweiga                       Kipkeleon                 Keiyo
      Ol Kalau                     Siongiroi                 Kipkaren

New sites not included will be covered by Technoserve staff beyond the life of this
consultancy.

Sampling
  • The sample included 660 interviews spread across 6 sites.
  • 600 farmers were interviewed.
  • As per the briefing instructions, the teams covered a 20KM radius from the location
    of the chilling plant. Depending on the number of locations located within the 20 KM
    radius, an equal number of sampling points were picked in each location to ensure
    spread of interviews.
  • For each location, the team leader picked the starting point randomly, and using the
    random route method, farmers who fitted the set criteria were interviewed. Selection
    criteria:
         o Dairy Farmer
         o Have less than 5 mature milking cows
  • As for suppliers (60 were interviewed), the team picked supplier names from the
     farmers, other suppliers and also those they came across in the market places.
     From the list, a score was given to each an every supplier based on set criteria
     (capacity to deliver services, closeness to SMEs (In terms of understanding their
     culture and geography, commercial focus e.g. level of profitability, focus on
     services, SMEs or BDS, organizational independence- especially from donor funds,
     legally registered and willingness/interest/ability to partner). From the list, suppliers
     who met the above criteria were selected for the interviews.

Key challenges of the fieldwork
  • Some areas in Kipkeleon and Mweiga were challenging to the interviewers because
     of the large distances they had to walk to reach the farmers due to large acreage of
     the farms, hilly terrain and lack of public transport.
FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                     8
FIT RESOURCES JANUARY 2009
• Kipkelion, having been one of the areas affected by post election violence, the
     farmers received the research team with a lot of caution. They needed assurance
     that the team had not been sent with political motives by their perceived political
     aggressors. The farmers wondered why the chief had not told them to expect the
     team. Fortunately, one of the team members hailed from that community and even
     after introducing herself as such, she was required to tell her genealogy.
   • The farmers complained that the questionnaire was too long as it was taking at least
     one hour to answer.
   • The Technoserve team was absent on the ground in all the sites apart from Mweiga
     where one staff joined the RI team towards the end of data collection. This caused
     delays in data collection as the research team had to find their way in the sites.

Data processing

Research International processed all the data collected on an ongoing basis. Research
International personnel have developed a database of actors (BDS providers in each of
the areas under study are listed, categorized by service provision and their location
recorded). A further database defines specific provider gaps and capacities including a
score against agreed selection criteria for determining target partner providers. A
database of the small and micro enterprises (SMEs) interviewed has also been
developed. The full data set is attached to this report (Annexes/Databases).

To understand the markets, RI examined three key issues - demand, supply and
transactions (the interaction between demand and supply) during the market assessment.
The outcome of analyzing this information forms a picture of each BDS market showing
how it works, where the opportunities for growth are, and where significant problems lie.
Data analysis was undertaken to profile the markets, establish comparative information on
the in-country sites (and the 3 countries) and draw conclusions from the data.

A round table meeting was held in early December 08 with stakeholders to overview the
methodology and process of data processing and analysis and reach consensus on the
priority constraints/opportunities and identify possible solutions. The meeting presentation
is attached to this report (Annexes/ Process meetings). Sustainable solutions that
address priority supply side and demand side constraints were discussed. Illustrative
market based interventions were also developed with a focus on potentially
sustainable/profitable services that are replicable in the private sector. Strategies which
ensure effectiveness, efficiency and sustainability were also discussed alongside
suggested BDS performance measurements. The data processing plan was then
circulated for stakeholder feedback during the analysis process and the data plan is
attached to this report (Annexes/Process meetings). Comparative information on the in-
country sites and 3 BDS markets was also produced.

Presentations

FIT Resources and Research International personnel collaboratively implemented a
presentation and action planning at a stakeholder workshop in Kenya with staff,
consortium members and key informants on the 7th of January 09. This workshop included
a short review on the basic principles and practices of BDS and the Market Development
Paradigm. All the research findings were presented and proposed illustrative solutions and

FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                   9
FIT RESOURCES JANUARY 2009
performance measurements discussed (Annexes/Process meetings). Feedback was
recorded and an action plan developed.

FIT Resources then prepared this final draft report as and will present the final report to
Technoserve with support from Research International in Nairobi, Kenya by FIT
Resources and Research International on January 30th 2009.

Key conclusions of the methodology

   •   Outsourcing the market assessment to a research company ensured a more
       effective and efficient MA process.
   •   A combination of outsourcing and internal capacity building ensured the best
       possible results. The likelihood of useful research results was ensured as EADD
       stayed close to the market assessment process.
   •   The ability of EADD staff to remain consistent to the process was questionable.
       Staffs were not always available for the trainings and meetings as required plus
       EADD field staff were not available to partner on the field work in some locations
       drawing into question the long term ability of field staff to implement further
       diagnostics in new locations.
   •   Determining a clear hypotheses and outlined market assessment goal and
       objectives ensured a more effective delivery of analysed data from Research
       International.
   •   The market assessment focused on a holistic picture of the market and
       incorporated both sides of the market equation—demand and supply.




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                 10
FIT RESOURCES JANUARY 2009
Findings of fieldwork and data analysis



CONSUMER SURVEY by location

Locations covered and key informants interviewed

This study covered six locations, namely:

Locations                            Sample size
Kipkaren                                100
Keiyo                                   100
Kipkelion                               96
Siongiroi                               104
Olkalou                                 101
Mweiga                                  99
Total                                   600

Targeted SME consumers interviewed

As per the recruitment criteria, all consumers interviewed were small scale farmers
currently engaging in cattle keeping among other farming activities. The study targeted
farmers with less than 5 mature milking cows.

Overall, a total of 600 farmers were interviewed. The number comprised of 360 (60%)
males and 240 (40%) females were interviewed in the six locations. Their ages ranged
from 18- 65 years as shown in the table below:

  SAMPLE        TOTAL     Male     Female    18-25   26-35   36-45   46-55   56-65   65+
  BASE: Total
  Sample          600      360      240       63     189     148      87      88     25
                                                     %
  Kipkaren        17       20        12       22     20       20      16      7       -
  Keiyo           17       16        17       11     17       18      21      17     4
  Kipkelion       16       14        19       14     19       15      15      18     4
  Siongiroi       17       18        16       35     22       14      17      3      8
  Olkalou         17       13        23        8     12       18      15      31     32
  Mweiga          17       19        13       10     11       16      16      24     52

Overall, majority of the farmers had small farms ranging from less than acre to 5 acres.
However, in Keiyo and Kipkaren, a relatively high number of farmers had 5 acres of land
and above.




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                   11
FIT RESOURCES JANUARY 2009
Farm Sizes        TOTAL            Kipkaren     Keiyo              Kipkelion         Siongiroi           Olkalou          Mweiga
    BASE: Total
    Sample                   600           100              100              96                    104             101                 99
                                                                            %
     Below 1 acre             11             6                1              18                      17             16                 10
     Between 1-5              48            46               43              46                      49             50                 56
     Above 5 acre             40            48               56              36                      34             34                 33

   Across the six sites, farmers reported to be selling at least ¾ of their milk production.
   Farmers in Kipkaren followed by Kipkelion reported the highest production and sale per
   day milk compared to the other sites visited.


    Milk Production            TOTAL        Kipkaren             Keiyo       Kipkelion           Siongiroi         Olkalou           Mweiga
    BASE: Total Sample          600           100                100            96                 104              101               99

    Average number of
    litres produced per
    day                            10.8       12.5               10.6              12             10.1                 8.7             10.9
    Average number of
    litres sold per day(L)         7.8            9.7            8.1               8.5               6.6               6.4             7.1

    Average number of
    litres consumed in
    the household                   3             2.8            2.5               3.5               3.5               2.3             3.8

   When asked about the contribution of the dairy farming to their total household income,
   half of the farmers estimated the contribution to be over 30%. On specific sites, farmers in
   Siongiroi, Ol Kalau and Mweiga respectfully showed a relatively heavy dependence on
   dairy as their main source of income.

Income
proportion
from dairy
farming           TOTAL       Male         Female       Kipkaren         Keiyo          Kipkelion          Siongiroi         Olkalou          Mweiga
BASE: Total
Sample              600        360           240            100            100              96               104               101              99
                                                                                   %
Less than 10%       13             11        17             12             10               13                 9                23              14
11-30%              37             36        38             41             44               44                36                24              32
31-50%              34             35        31             24             29               36                42                32              37
51-70%              12             14         9             19             14                7                 7                17               9
71-90%              4               4         3             4               3                -                 7                 3               4
Refused/Not
mentioned            1             0          2              -              -                -                -                 2               3




   FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                                     12
   FIT RESOURCES JANUARY 2009
Market profiles

Respondents interviewed in all the six sites practiced mixed agriculture; cattle keeping
(100%), food crops farming (78%) and cash crops (29%). A majority (81%) of the
respondents kept mixed breed of cattle. Only 14% kept indigenous while 9% kept pure
breeds.

  Cattle breeds            Total     Kipkaren      Keiyo       Kipkelion        Siongiroi       Olkalou    Mweiga
  Base: Total sample       600         100          100           96              104            101        99
                            %           %            %            %                %               %         %
  Cross breed               81          78           85           82               80             83        78
  Indigenous                14           5            9           21               25              8        13
  Pure breed                 9          21          10             4                1              9        11

Kipkaren had a comparatively higher percentage of respondents (21%) with pure breeds
followed by Mweiga (11%) and Keiyo (10%). Siongiroi had the least number of
respondents (1%) with pure breeds compared to the rest of the sites. Siongiroi also had
the highest percentage (25%) of respondents with indigenous breeds followed by
Kipkelion with 21%. Kipkaren had the least percentage (5%) of respondents with
indigenous cattle breeds followed by Olkalou (8%) and Keiyo (9%).

When the farmers were asked if they had plans to change anything in their dairy farming,
over ¾ of them expressed intent to change something in their dairy farming. Farmers in
Keiyo had the highest percentage (93%), of those who had plans to change and was
closely followed by Siongiroi (85%) and Mweiga (84%).

 Plans to change something
 in dairy farming                    Total   Kipkaren      Keiyo    Kipkelion      Siongiroi     Olkalou      Mweiga
 Base: Total sample                  600       100          100        96            104          101          99
                                      %         %            %         %              %             %           %
 Yes                                  79        77          93         71             85           66          84
 No                                   21        23           7         29             15           34          16

The intended changes mentioned by the respondents are presented in the table below:


Intended changes                     TOTAL      Kipkaren    Keiyo     Kipkelion      Siongiroi      Olkalou    Mweiga
BASE: All plan to change              476          77        93          68             88            67        83
                                                                          %
Improve breeding / breed of cattle
through breeding methods / use
AI                                     60         71          83           75           35            54         45
Improve feed through growing
better / more feed                     47         56          61           41           42            42         35
Change feeding to zero grazing         39         64          76           16           17            28         28
Enlarge size of herd / Buy more
cattle                                 37         35          54           21           26            45         39
Improve feed by buying
supplements                            33         47          65           24           25            15         13
Improve the veterinary treatment
/ drugs used on cattle                 30         56          66           13           11            13         11
Improve my knowledge about
dairy farming                          26         34          46           9                8         36         22
FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                              13
FIT RESOURCES JANUARY 2009
Improve the quality of my milk /
improve my milk handling skills     23     36      53        9         8        16      12
Improve feed storage methods        21     36      35        9        14         9      19
Improve the management of my
dairy as a business                 21     34      48        4         7        15      11
Group together with other
farmers / join association / join
coop / join producer group          19     34      47        6        11        6        2
Get more money for my milk
through changing buyer (general)    18     27      33        7        11        10      13
Grouping with other farmers to
get a better price                  17     26      39       12         7        9        5
Get more money for my milk
through increasing price            13     23      28        6         7        10       4
Improve building                    12     21      24        9         1        15       4
Grouping with other farmers to
get cheaper inputs                  11     19      31        1         -         7       2
Buy farm equipments                 11     16      26        7         3        10       4
Improve technology                  10     25      20        3         1         6       4
Improve transport / invest in
transport                           8      18      22        1         1        1        1
Improve record keeping skills and
related skills                      7      17      15        1         -        6        1

Improving breeds of cattle reared topped (60%) the list of the changes the respondents
planned to undertake. These respondents reckoned that, pure breeds produced more milk
compared to the cross-breeds that a majority kept.

Almost half of the farmers (47%) noted the importance of giving their animal’s high quality
feeds and disclosed that they were planning to improve the feeds they give to their cattle.
These respondents said they had plans to start feeding their animals on processed feeds
and also that they would farm their own feeds including Napier grass.

About two fifths (39%) of the farmers said they intended to practice zero grazing. They
observed that through zero grazing they would be able to feed their cattle adequately thus
increasing their milk production.

A significant number of farmers also indicated their plan was to increase their herds
(37%). To them, the move would help increase their milk production for more income.

Further, on being asked how certain they were on making the intended changes in dairy
farming, majority of the farmers indicated they were “definite” or “very likely” to implement
their plans as shown in the chart below.




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                     14
FIT RESOURCES JANUARY 2009
Definatey will do so      Very likely to do so            Somewhat likely

                                 Buy farm equipments                         57                                   39                      4
                                    Improve technology                            67                                  25              8
                                       Improve building                      57                                  38                       5
       Improve record keeping skills and related skills                        64                                      36
            Improve my knowledge about dairy farming                         60                                    37                     3
  Improve the management of my dairy as a business                           58                              29                      13
   Improve the quality of my milk / milk handling skills                            72                                     23             5
                 Improve transport / invest in transport           39                             39                            21
 Get more money for my milk through increasing price                      53                                     44                       3
     Grouping with other farmers to get cheaper inputs                  50                                  40                       10
      Grouping with other farmers to get a better price              45                                39                        16
                Join association/ coop /producer group               43                                42                        14
  Get more money for my milk through changing buyer
                                                                        48                                  42                        9
                        (general)
Improve the veterinary treatment / drugs used on cattle                           65                                  28                  7
                        Improve feed storage methods                         59                                  33                   8
                  Improve feed by buying supplements                              65                                   33                     2
       Improve feed through growing better / more feed                         61                                     36                      2
                       Change feeding to zero grazing                          62                                 30                      7
                Enlarge size of herd / Buy more cattle                    54                                 38                       9
     Improve breeding / breed of cattle through use AI                         64                                      33                 3


        Awareness and frequency of use of the BD services
        Awareness and usage of different services among farmers was investigated. Results show
        that farmers had purchased a couple of services/ inputs for their dairy cattle.

        Almost all the farmers were aware of veterinary treatment and vaccination services,
        mineral supplements and supplementary feeds and also pest control related sprays.
        However, for AI, despite high awareness, the number of those who have ever used the
        services declined significantly.

        Further, those who claimed to be using AI services “nowadays” also showed a decline
        implying there was likelihood that farmers are more inclined to be using bulls for
        insemination. Notably, 60% of the farmers aware of AI indicated the service was adequate
        low demand for the service.




        FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                          15
        FIT RESOURCES JANUARY 2009
The chart below summarises awareness and usage of dairy related services and inputs.
                                               Ever                                               Used               Inadequate
                                                                     Purchased in
                              Aware            purchased                                          nowadays           Amount
         Veterinary                                                  P12M
  treatment services                 99                    99                                                                   31
                                                                                 92                       80
            Artificial
    Insemination (AI)                 95                  59                    45                        39                         40

             Mineral
        supplements                       93                    93                    87                        75                   29

   Insecticides & tick
               sprays                92                    92                    92                        82                   25

      Supplementary
                                  91                      98                59                       45                         47
              feeds

         Milk coolers                 84                   76                                                                        32
                                                                                24                       22
           Veterinary
          vaccination           93                   75                                                                    31
                                                                           60                       61
                  Milk
    collection/bulking     54                  37                    30                      27                       33



  The table below presents services/inputs that the respondents had ever purchased by
  sites.

Services/inputs
ever purchased
or received          Total           Male           Female       Kipkaren            Keiyo        Kipkelion      Siongiroi           Olkalou   Mweiga
Base: Total
Sample                   600          360            240             100             100             96              104              101        99
                          %            %              %               %               %              %                %                %         %
Veterinary
treatment
services                 99           99              98             98               98             99              98               100        99
Insecticides &
tick sprays              98           97              98             92               98             97              99               100        99
Veterinary
vaccination              93           93              94             92               96             95              90                   92     95
Mineral
supplements              92           93              92             85               91            100              100                  89     88
Supplementary
feeds                    76           80              70             87               72             79              70                   70     76
Artificial
Insemination
(AI)                     59           66              48             87               65             32              14                   75     80
Milk collection/
bulking                  37           40              34             10               11             58              30                   55     61
Milk coolers             30           31              28             56                4             75              41                    3      1
Seeds to grow
feed                     25           26              24             16               12             22              19                   44     39
Information/
training on              23           21              26             15               19             8               14                   37     43

  FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                                       16
  FIT RESOURCES JANUARY 2009
animal
     husbandry
     Disinfectants -
     for cleaning and
     sterilizing            19              20             17             11                 6              31             21             22              22
     Metal milk
     churns                 18              21             13             2                  2              16             22             28              37
     Milk advance
     payments or
     credit services        12              14             9              3                  3               7             14             25              20
     Information on
     dairy markets           9              9              8              10             12                  1             2              21               5
     Hay bailers             7              8              4               2              8                  7             6               6              10
     Chaff Cutters                 7             7               6              8                16              5               1             4                   6

       On familiarity with the benefits of the dairy related services and inputs, almost half of the
       farmers indicated they were not completely familiar with AI benefits.

       Despite low awareness, a significant number of farmers were also not very familiar with
       the benefit of training in animal husbandry.

       When farmers were asked their opinion on ease of availability of services/inputs they were
       aware of, key services mentioned were rated as reasonably available. However, training
       on animal husbandry and milk advance payments were rated as unavailable though
       strongly needed.

       Overall, veterinary treatment, was rated as the most important service with AI being
       mentioned a distant second.

       Further, in terms of purchase of the services/inputs, almost all the farmers claimed to
       purchase on their own indicating insignificant market distortions.

       The chart below summarises feedback on familiarly, ease of availability, need and
       affordability of some of the services/inputs that farmers were aware of.
                                                                                                                                           Not affordable
                                  Aware (n=600)                Completely familiar Easily available              Very strongly             even after    Most important
                                                               with benefit of                                   needed                    saving up     overall

                                                        99                     75                           89                       82             51                  45
Veterinary treatment services
   Artificial Insemination (AI)                       95                  54                           70                       69                  57             18

       Veterinary vaccination                         93                       69                          81                        77        41                  8

        Mineral supplements                           92                       76                          89                    78                  61        6
    Insecticides & tick sprays                                                                                                                      54
                                                      91                       83                           94                       82                            5
       Supplementary feeds
                                                   84                      69                          77                      65                   62         5
                 Milk coolers                                                                                                                                  3
                                                 64                       56                      45                           72                    73
       Milk collection/bulking
                                                 54                        75                         56                        73              49             1
      Information/training on
           Animal husbandry            47                       40                  22                                78                       41              9
           Metal milk churns           45                            75                 34                           61                        46
   Milk advance payments or            38                                                                            70                                    1
                                                                  57
              credit services
              Milk testing kits        36                       39                  13                           47                                53
       FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                                           17
               Chaff Cutters 36
       FIT RESOURCES JANUARY 2009               34                                  9                            48                                 69

                  Hay bailers          35                      27                   7                            47                                57
Information on dairy markets           35                       36                                                    76
  Disinfectants - for cleaning      31                              60              22                               68                        47
               and sterilizing
Other services that farmers mentioned to be getting from suppliers include:
   • Animal reproductive health and good breeds
   • Dehorning
   • Foot trimming
   • Transport of feeds
   • Credit facilities to individuals and groups (Aina Moi Advisory Centre)
   • Teaching on diseases
   • Castration
   • School fees and emergency loans (Olkalou Dairy)
   • Organizing farmers field days
   • Tick control
   • Processing yoghurt in small quantities

The overriding reason for non use of some key services and inputs like AI and
supplementary feeds was said to be mainly cost. However, for information on training,
“where        to      get        it”      was        a         key        constraint.

    Information/training on animal
                                            30                                    70
          husbandry n=10



                 Milk coolers n=6                50                          17              33



       Supplementary feeds n=8                                      100



   Veterinary treatment services
                                                                    96                                     4
                n=23


       Artificial Insemination (AI)
                                                         70                             11    8        8
                    n=37


                            Too expensive        Dont know where to get it    Quality             Others




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                       18
FIT RESOURCES JANUARY 2009
Key demand side constraints and opportunities

 To establish demand side constraints, farmers were asked to highlight the key problems
 they experience with their dairy enterprise. Low milk prices (45%), disease outbreaks
 (31%), inadequate foliage (27%), and unreliable animal health (27%) were some of the
 constraints identified by the respondents. All in all, for the challenges encountered varied
 to some extent with the location as shown in the table below.


Problems encountered               TOTAL    Kipkaren   Keiyo   Kipkelion   Siongiroi   Olkalou   Mweiga
BASE: Total Sample                  600       100      100        96         104        101       99
                                                                 %
Low milk prices                     45        43        77        39          31         40        42
Disease outbreaks                   31        38        37        32          30         25        25
Inadequate foliage e.g. grass,
Napier grass etc                    27        18        28        20          34         19        42
Unreliable animal health
services- treatment, vaccination
and drugs                           27        46        41        19          23         20        11
Lack of adequate foliage e.g.
grass, Napier grass etc             26        35        27        20          31         23        17
Unaffordable animal health
services- treatment, vaccination
and drugs                           26        35        42        11          10         31        26
Unaffordable supplementary
feeds e.g. dairy meal               25        37        33        11          11         37        22
Fluctuating milk prices             25        50        46        11          15         15        11
Unaffordable AI services            20        25        45        23           6         11        13
Irregular AI services               15        25        42         9           4         7          4
Delayed milk payments               14        26        37         5           4         5          7
Poor climatic conditions            14        10        14         6          21         11        19
Inaccessible roads                  13        34        25         5           2         4          6
Unreliable source of
supplementary feeds e.g. dairy
meal                                11        24        19        9           3          7         1
Low quality foliage e.g. grass,
Napier grass etc                    11        17        17        5           6          12        7
Exploitation by middle men          10        10        20        2           6          17        2
Unavailability of milk cooling
facility                            10         7        51        1           -          1         1
High transport cost                  9        19        26        2           -          4         3
Inaccessible loan facilities         9        18        18        5           3          7         2
Lack of milk handling skills         8        16        21        1           1          3         4
Lack of feed storage and
management skills                    8        11        19        2           3          5         5




 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                           19
 FIT RESOURCES JANUARY 2009
Market Access
        Across all the sites, farmers were aware of several channels where they can sell their milk.
        The non-formal outlets appeared to be more popular than the formal channels.

        Among the non-formal channels, homes followed by brokers and direct to institutions
        respectfully topped the list in terms of awareness - while in the formal market; Co-
        operatives followed by cooling plant co-operative had the highest awareness.

        Majority of the farmers claimed to sell direct to homes, followed by co-operatives and
        brokers respectifully.

        However, in terms of preference, a majority stated they would be prefer the formal
        channels an indication of a dislike to the informal market as shown in the chart below.

   Base: all farmers n=600
                                                                                                               Least preferred
                                   Could sell to              Usually sells              Preferred             buyer
                                                              to                         buyer
              Direct to homes                                                              3                                    34
                                                       76                  39

                    Farmers
Cooperative/group/association                    50                               29                   34                  5


                        Broker                                                    27         11                        27
                                                 47

          Direct to institutions                                         16                           4           5
                                                 45

                 Cooling plant                                               26
                                            41                                                    26                  3

                       Hawker                                            16
                                                                                                  6                   16
                                            31
                                                                 10                                               2
                    Processor          23                                                        12


                       Milk bar                                     3
                                                                                             2                    2
                                       12
                                                                3
                                                                                             3                    1
               Bulking center      6




        The table below shows by sites where farmers currently sell their milk.

         Places usually sells milk                    TOTAL     Kipkaren               Keiyo          Kipkelion       Siongiroi      Olkalou   Mweiga
         BASE: Total Sample                            600        100                   100              96             104           101       99
                                                                                                          %
         Direct to homes e.g.
         Neighbours or family
         members                                       39               30              48                45               45          38        29
         Farmers
         cooperative/group/association                 29               16              22                 -               36          35        67
         Broker at farm gate                           27                9              58                10               48          25         7
         Cooling plant                                 26               69               6                68               14           -         1
        FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                                      20
        FIT RESOURCES JANUARY 2009
Direct to institutions e.g.
    school, hospital, food kiosk        16      21       19       19          20          8        10
    Hawker                              16      14       36        3          23         16         3
    Processor                           10       8        6       13           6         13        13
    Milk bar                             3       6       10        -           1          2         1
    Bulking center                       3       3       11        -           1          2         1

  Among those who sell to more than one outlet, cooling plant followed by brokers were
  rated as the largest buyers in terms of quantity sold. This implies that although, “direct to
  homes” is a major market for milk, the quantities sold to them could be little compared to
  cooling plants.

Buys most                             TOTAL   Kipkaren   Keiyo   Kipkelion   Siongiroi   Olkalou   Mweiga
BASE: All who sell to more than
one channel                            319      60        71        46         67             40        35
                                                                     %
Cooling plant                           24      67         1        59         12             -         -
Broker at farm gate                     21       5        41         4         36             20        6
Farmers
cooperative/group/association           19       2        18         -         28             30        49
Hawker                                   8       7        11         -          7             23         -
Processor                               8        7         7         7             3          10        17
Direct to institutions e.g. school,
hospital, food kiosk                    7        3         4        13             7          3         11
Direct to homes e.g. Neighbours
or family members                       6        5         6        13             4          5         6
Bulking center                          3        2        10         -             1          -         -
Milk bar                                1        2         1         -             -          3         -




  FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                              21
  FIT RESOURCES JANUARY 2009
Apart from buying milk, farmers who sell milk to the processors, cooling plant, bulking
centre or the co-operative, were asked what other services they received from them, if
any, and the extra service they would require. From the study, it was evident that demand
for services and inputs from the milk buyers is bigger than they are currently providing.

                                 Services required                                       Services received


                                                                6
                         Information on market prices
                                                                                    22
                                                                    10
     Delivery/Transport of farm inputs and animal feeds
                                                                               19
                                                                     11
                         Training on animal husbandry
                                                                                                    33
                                                                          16
                                            AI services
                                                                                                   31
    Animal health services- treatment, vaccination and                     18
                          drugs                                                                              39
                                                                                21
                         Farm inputs - seeds, fertilizer
                                                                                          27
                                                                                    22
                           Advance on milk payments
                                                                                          27
                                                                                         25
             Milk collection from the farm or near farm
                                                                                                        35
                                                                                              28
                            Animal feeds/supplements
                                                                                                         37

When asked whether they pay for the services, it was evident that apart from inputs, the
suppliers hardly charged for the services or farmers were not aware of the charges if they
were levied.

Where suppliers (milk buyers) levied the charges, the main mode of payment was check
off system.

In terms of payment of milk proceeds, majority of the farmers claimed they were paid in
cash after a specified period. This is mainly due to the fact that informal market leads in
terms of milk sale channel.



                                                                                              Barter - exchange milk for other
                           1
                           4                                1
                                                            4                                 services
                          16                                                                  Receives a cheque
                                                            26

                                                                                               Cash deposited to a financial
                                                                                              institution
                          58
                                                            51                                Paid in cash after a specified
                                                                                              period
                                                                                              Paid cash on delivery
                          20                                17


                  Mode of payment                     Preferred mode
FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                22
FIT RESOURCES JANUARY 2009
Asked to explain what they felt about information they had in regard to where they can sell
their milk, 25% of the farmers felt they have very little information. See table below.

 Feeling on
 information of
 where to sell
 milk                Total     Male    Female    Kipkaren   Keiyo   Kipkelion   Siongiroi   Olkalou   Mweiga
 Base: Total
 Sample                 600     360      240       100       100       96         104        101        99
                         %       %        %         %         %        %           %          %         %
 Very little             25     23        28        19       18        39         44         19         10
 Just enough             66      66       66        65        72       57         52         75         76
 A lot                   9      11         6        16       10         4          4          6         14

Cooling Plant
Asked whether they were aware of any cooling plants, 75% of the farmers indicated they
were aware of at least one cooling plant within their locality. However, in Keiyo, there were
no mentions of a cooling plant but they were aware that plans were underway to put one
in place.

Whether
aware of any
cooling plant     Total       Male    Female    Kipkaren    Keiyo   Kipkelion   Siongiroi   Olkalou   Mweiga
Base: Total
Sample            600         360      240        100       100        96         104         101       99
                   %           %        %          %         %         %           %           %        %
Yes               75          77       72          97        -         99          92         73        88
No                25          23       28           3       100         1           8         27        12

Below are the cooling plants mentioned including: Siongiroi dairies, Angina, Kipkelion
cooling plant, Watuka society,Olkalou dairy farm,Endarasha dairy ,Tuzo cooling plant,
Brookside, Kamaus, Tuzo dairies,Ngina Kenyatta ,K.C.C, Kiganjo

When the farmers were asked about ownership of the cooling plants, the majority
indicated the facilities were owned by the co-operatives.




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                     23
FIT RESOURCES JANUARY 2009
Asked what services they would like to receive from a cooling plant, farmers indicated they
 would expect to get a number of services which include:


       Training on animal
                                                                   32%
          husbandry

vaccination and drugs                                                           44%


  Information on market
         prices                                                                      47%


           Credit facility                                                           47%



             AI services                                                             48%


     Farm inputs - seeds,
      fertilizer                                                                           52%


           Animal feeds                                                                          56%

 Milk collection from the
  farm or near farm                                                                                       61%

  Animal health services-
                                                                                                         62%
treatment and prevention




 On probing further about what they would feel if they were to pay for the desired services,
 over 80% of the respondent indicated they would be willing pay to get the services.

 Information and training needs
 Across all the 6 sites sampled, majority of the farmers (88%) pointed out that they do not
 have the skills required to be good dairy farmers. The same trend was observed the two
 gender slits although, a slightly higher proportion of males felt they were more skilled than
 their female counterparts. The results below indicate that majority of the farmers are not
 well equipped to handle dairy efficiently as a business though they are practising it.

Whether feels
have the skills
needed for a good
dairy farmer                 Total   Male   Female   Kipkaren   Keiyo    Kipkelion    Siongiroi        Olkalou   Mweiga
Base: Total Sample            600    360       240       100      100          96           104           101        99
                                %      %        %          %       %            %                %          %         %
Yes                             22    24        18        22       24          25            19            22        18
No                              78    76        82        78       76          75            81            78        82

 To further understand, the skill that they feel was needed to bring them to a level of skilful
 dairy farmers, the following information need areas were identified by a significant number

 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                            24
 FIT RESOURCES JANUARY 2009
of them. The results indicate there is a higher demand for skills that would enable them
        transform to modern farming.


Disease identification, treatment and prevention                                                                                    63%


                                New animal feeds                                                                                  59%


                 Improvement of milk production                                                                        51%


                                     Cattle breeding                                                                   50%

                                                                                                         38%
                                           Milk prices

                               Drug administration                                                 33%


         Public health issues and requirements                                          23%


                      Dairy farm record keeping                                         23%


                                              Buyers                              18%

                        Record keeping Buyers                                     16%

              Awareness of government policies                              14%




        Apparently, of the farmers who indicated to have attended training in the past (35%),
        issues that were addressed in the training were the same farmers would like to be trained
        on.
    Information/advice
    received                   Total        Male        Female       Kipkaren      Keiyo       Kipkelion       Siongiroi         Olkalou       Mweiga
    Base: Those who
    ever received
    information/advice         211           125         86            40              59          15             26               37            34
                                %             %          %             %               %           %              %                %             %
    Disease
    identification,
    treatment and
    prevention                  55           59          48            63              69          20             27               57            53
    New animal feeds            53           53          52            58              76          40             38               38            38
    Improvement of
    milk production             43           35          53            50              49          27             27               38            47
    Cattle breeding             37           39          35            28              49          40             23               46            29
    Drug administration         34           40          24            35              54          20             15               27            24
    Dairy farm record
    keeping                     18           17          20            30              31          13             4                11            3
    Milk prices                 14           18           8            28              20           -             -                14            6
    Public health issues
    and requirements            9            10           8            10              15          20              -               11            -

    Record keeping         9           8            9            5                14          13           8                 8             3

        FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                                25
        FIT RESOURCES JANUARY 2009
Buyers                7       7         7             -              14   -                  -                    16                3
   Awareness of
   government
   policies              5       5         6             8              8    7                  -                    5                 -




       This could be an indication that either:

            •   Training needs highlighted by the farmers have already been identified by the
                suppliers and necessary actions are being taken or
            •   Those who attended the trainings have to some extent sensitised or influenced the
                other farmers on the need to have the skills or information.

       The table below indicates different training areas/information 35% of the farmers
       interviews have been exposed to:

       To be able to reach farmers, the study sought to know where they often sought different
       types of information from. According to the farmers, the media (mainly radio) was
       identified as a key source of information. Farmers and suppliers were also stated to be key
       sources of information. The table below underscores the importance of media, fellow
       farmers and the suppliers in disseminating information to the farmers.

       Farmers Sources of Information

                                     Milk prices n=30                  63                       50              3 13          73

                                         Buyers n=15              47                   53                  13            27            20        7

                                 Record keeping n=18              50         11       17         22        17

                  Improvement of milk production n=90             53                  32            11 7            30         8

          Public health issues and requirements n=20                   65                  20         25                 35            5

                Awareness of government policies n=11        27                   73                       9

                                 Cattle breeding n=79             51              28            14    6        25         11

Disease identification, treatment and prevention n=115             59                   30            17 2           30            4

                             Drug administration n=71              56             21            21              35             4

                              New animal feeds n=111                   61              25            13 4 15         8

                       Dairy farm record keeping n=38              58             8        18        16    18


                     Media                        Farmers                             Extension Worker (GOV)
                     Buyer                        Supplier                            NGO



       The study also sought to establish if farmers keep their own record. Results indicated that
       over 70% of the farmers do not keep farm records. Among those who keep records, it was
       evident that majority of them keep only some basic records- milk sales and AI services.



       FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                             26
       FIT RESOURCES JANUARY 2009
This reinforces the need for further training on record keeping if farmers were to seriously
transform their dairy farming as commercial enterprises.


 Do you keep any                             Types of Records Kept?
 farm records?
                            Feeds record              16%



                          Treatment and
                       vaccination records                   27%


                          Record on animal
     No,                                                      30%
                              births
     73        Yes
               , 28

                           Milk production                          37%



                       AI services records
                                                                          43%



                                Milk sales                                        68%




Finance
Overall, 75% of the farmers indicated they need some lump sum capital to finance their
dairy farming operations. Asked where they think they can get the money from, Banks
followed by co-operative topped the list as shown in the figure below.

However, based on the fact that majority of them are selling milk to the informal market, it
is clear that financial constraint will continue to derail commercialisation of the dairy
among these target farmers unless concerted efforts are put to encourage them to sell
milk to the formal institutions which can in return offer the much needed financial support.

No wonder, when farmers were prompted on their willingness to pay for services and farm
inputs on check-off systems, majority of them, over 80%, indicated the idea was very
welcome.




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                  27
FIT RESOURCES JANUARY 2009
Finance Sources




                                       11%
                           1%
                      4%
                                                                               33%
               4%
          5%




                17%

                                                                 25%




       Banks                        Cooperative SACCO   Cooling plant   NGOs
       Micro finance institutions   Family/friends      Suppliers       No source


Technology and product development
Most of the farmers interviewed (65%) attested to owning or at least having some access
to a mobile telephone. On follow up on how the technology can be used innovatively,
farmers who sell milk to the formal channels were asked the types of information they
would like to access on their phones through a short message services alerts (sms).

The most desired piece of information was on disease alerts followed by milk prices as
shown in the figure below.

If the services were to be provided at the current SMS charge, majority of the farmers
confirmed they would pay for it.

Some respondents disclosed that mobile phones are an important asset in their dairy
farming citing incidences where they have had to call veterinary personnel to attend to
emergencies in their farms. Some farmers also appreciated that they received a lot of
information from friends for example about arrival of milk buyers at the buying centres,
availability of feeds and sometimes making orders of feeds through the phones and
sending their workers to collect.




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                              28
FIT RESOURCES JANUARY 2009
Information Via SMS

         70                                                                             60


         60
                                                                                        50

         50
                                                                                        40

         40
                                                                                                   Required Information
                                                                                        30
                                                                                                   Information Ready to pay for
         30

                                                                                        20
         20

                                                                                        10
         10


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      Policy and Advocacy
      There are hardly any noticeable policies and advocacy initiatives that are currently taking
      place in the dairy sector that farmers can identify with.

      Over 70% of the farmers said they were not aware of any groups/ organizations that
      represent their own interests as dairy farmers.

      This could have been occasioned by the fact that only a small number (31%) of them
      belong to a co-operative movement.

  Aware of
  group/organization that
  represent own interest
  as a dairy farmer           Total   Male   Female    Kipkaren   Keiyo   Kipkelion   Siongiroi     Olkalou     Mweiga
  Base: Total Sample           600    360        240       100     100          96           104        101           99
                                                                      %
  Yes                           31     37         20        37      29          32           33           18          34
  No                            70     63         80        63      71          68           67           82          66




      FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                      29
      FIT RESOURCES JANUARY 2009
Conclusions on consumer research
The following conclusions on the BDS services consumed can be drawn from the research
findings:

   •   Although farmers interviewed practice mixed farming, dairy is an integral source of
       their household income. Therefore, any effort aiming at raising production in this
       sector will definitely have a significant effect on these farmers livelihoods
   •   Whilst milk production across the six sites in below potential, farmers are on
       average selling milk worth about USD 1.5 per day totaling to approximately USd 45
       per month
           o However, since majority of the farmers are selling to the informal channels, it
               is unlikely that payment are received as lump sum denies them the
               opportunity to make reasonable savings hence minimal access to credit
               facilities/loans
   •   Majority of the farmers showed a high inclination towards getting more services
       from the cooling plant and paying later through check- off system. It would therefore
       be prudent for the cooling plant to extend these services as a bait to lure farmers
       into the formal market
   •   AI services- Although all farmers were aware of the AI services, only 39% of the
       farmers are using the service currently. Most of them claim the cost of the service
       is high, however, this does not seem to be the underlying reason for non-use as
       half of the respondents are not fully aware of it’s benefits
           o Education on this will help more farmers attach some “value for money” to
               the services based on the expected benefits
   •   From the study a number of farmers stated they are not aware where they can
       receive training or some information on dairy farming. On being prompted where
       they usually get information from; Radio, suppliers and farmers were mentioned as
       key sources of information
           o It would therefore be prudent for EADD to:
                        Bring closer the suppliers and consumers for this mutual benefit
                        Have more interactive sessions with farmers as the training they give
                        is likely to filter down to other farmers
                        Where possible, establish the key media consumed and target to
                        reach farmers through it
           o Two thirds of the farmers have access to the mobile phone and in fact, a
               good number of them are already using it to communicate with service
               providers. Further, a majority of them are willing to pay to access certain
               services via short messages service (sms), although in actual fact, usage of
               sms have been confirmed to be low among the rural population.
                        Despite the limitation, we feel the technology can be used more
                        effectively if implemented in phases
                             • Phase 1- EADD picks a number of farmers (particularly those
                                 who are likely to influence other farmers). Train them and be
                                 channeling information through them on non-commercial basis.
                                 Through this, the impact of the service can be monitored.
                             • Phase 2- If phase 1 pick, commercialize the service

   Other conclusions
   • Insecticides and tick sprays are easily available and widely used in the six sites
      visited.


FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                    30
FIT RESOURCES JANUARY 2009
•    Veterinary treatment services are available but expensive for many farmers. The
          high cost makes some farmers in Kipkelion turn to traditional healers for animal
          treatment.
     •    Mineral supplements and supplementary feeds are stocked in the Agrovets in the
          six sites and the consumers are aware though not all of them are able to purchase
          due to high cost.
     •    Veterinary vaccination in all the six sites is carried out by the Government
          periodically when there is a disease outbreak.
     •    Artificial Insemination is available in the six sites though farmers complained of the
          high charges and sometimes they opt to get the services from the bulls in their
          neighborhood.
     •    Milk collection/ bulking was reported to be working well during the dry season but
          challenging during the wet season due to poor infrastructure and an increase in
          transport cost by transporters.
     •    Milk testing kits were found to be in use only in the cooling plants.
     •    Milk advance payments or credit services were given to the farmers who requested
          by the cooling plants in all the six sites.
     •    Disinfectants - for cleaning and sterilizing were widely used by the farmers to clean
          the milk churns and other milking equipment.
     •    Information/ training on animal husbandry were observed to be inadequate in all the
          six sites.
     •    Seeds to grow feed were widely used in Olkalou and Mweiga but not so in the other
          sites.
     •    Hay bailers and chaff cutters were not in use by farmers in the six sites.
     •    Information on dairy markets was not adequately available to the farmers in the six
          sites visited.
     •    Metal milk churns were used by the farmers to deliver milk though farmers
          expressed concern on the high buying cost.

Business development services that address those constraints and opportunities

The following key constraints can be addressed by the described BDS services1:

Key constraints                    Examples of BDS service required
Low milk prices                    Identify/ establish new markets
                                   Develop input suppliers capacity to offer better, less expensive
                                   inputs
                                   Identify new technologies to lower costs of production
                                   Develop the capacity of enterprises to better plan and manage
                                   their operations and improve their technical expertise
                                   Establish sustainable infrastructures that enable lower
                                   production/storage costs increased sales
Disease outbreaks                  Identify policy constraints and opportunities for SMEs
                                   Promote the interests of SMEs via advocacy
Inadequate foliage                 Facilitate links between SMEs and suppliers
                                   Develop input suppliers capacity to offer better quality inputs
                                   Identify and promote new technologies that produce better inputs
                                   Develop the capacity of enterprises and suppliers to improve their
                                   technical expertise

1
 Please refer to recommendations for more in depth solutions that address priority market constraints and market failures
FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                                    31
FIT RESOURCES JANUARY 2009
Unreliable animal         Enable suppliers to both expand their outreach to SMEs and
health                    develop their capacity to offer better, less expensive inputs
                          Facilitate links between SMEs and suppliers
                          Identify and promote new technologies that produce better inputs
                          Develop the capacity of enterprises to improve their technical
                          expertise
                          Promote the interests of SMEs via advocacy

Specific policy constraints that are affecting MSE product markets

The targeted farmers did not mention any policy issues that affect them. This can be
interpreted to mean that the farmers were not aware of the existing policies.




FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                     32
FIT RESOURCES JANUARY 2009
SUPPLIER DIAGNOSTIC by location


Existing providers/ services and their locations

Across all the six sites visited, a number of suppliers were mentioned by the farmers, their
fellow suppliers and also, as the interviewers visited the local market centre, they came
into contact to a number of them.

Overall, Veterinary “doctors” and Agrovets were more prominent than suppliers of other
services as summarised below.

Kipkaren had the least number of suppliers mentioned by farmers or sighted by the
interviewers.

Number of suppliers by category per site:

                  AI        Veterinary/       Agrovets/     Transporters         Cooling           Total
                                             Animal feeds                        plants
                             clinicals
 Kipkelion         5            14                4                5               1                29
 Olkalou           9            9                 9                1               1                29
 Mweiga            4            8                 5                1               2                20
 Siongiroi         6            3                 10               2               1                22
 Kipkaren          4            3                 4                1               0                12
 Keiyo             7            10                8                1               0                26


 Total            35            47                40               11              5               138



A workable data base of the BDS actors

A workable data base            of       these   BDS   providers       is   attached   to   this     report
(Annexes/Databases).

BDS suppliers interviewed

   To select the suppliers to be used, a set criteria was followed which was mainly based
   on:
       • Services provided
       • capacity to deliver services
       • closeness to SMEs,
       • commercial focus on services,
       • organizational independence

As per the table below most of the suppliers interviewed were privately owned enterprises
mainly offering retail services.


FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA                                                                   33
FIT RESOURCES JANUARY 2009
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya
Business Development Services (BDS) Market Diagnostics in Kenya

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Business Development Services (BDS) Market Diagnostics in Kenya

  • 1. FINAL REPORT CONSULTANCY SERVICES FOR BUSINESS DEVELOPMENT SERVICES (BDS) MARKET DIAGNOSTIC IN KENYA CONDUCTED BY: FIT RESOURCES SUBMITTED TO: EAST AFRICA DAIRY DEVELOPMENT (EADD) PROJECT FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 1 FIT RESOURCES JANUARY 2009
  • 2. JANUARY 2009 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 2 FIT RESOURCES JANUARY 2009
  • 3. CONTENTS Background and introduction 4 Methodology and activities 4 Preplanning 5 Training 6 Field work 6 Sampling 7 Key challenges of fieldwork 7 Data processing 8 Presentations 8 Key conclusions of the methodology 8 Findings of fieldwork and data analysis 10 CONSUMER SURVEY by location 10 Locations covered and key informants interviewed 10 Targeted SME consumers interviewed 10 Market profiles 12 Key demand side constraints and opportunities 18 Business development services that address those constraints and 31 opportunities Specific policy constraints that are affecting MSE product markets 31 SUPPLIER DIAGNOSTIC by location 32 Existing providers/ services and their locations 32 A workable data base of the BDS actors 33 BDS suppliers interviewed 33 Types of services and price of services, how providers cover costs, 34 profitability, existing contractual arrangements and promotional/marketing strategies Capacity gaps of interviewed suppliers 40 Priority supply side constraints, market failures, and market opportunities 40 Comparison of interviewed suppliers 44 The enabling environment for BDS 47 Conclusions 48 Characteristics of the market for BDS in each specific region in relation to 48 existing supply, demand and transactions An insight into the potential of each target market location 51 Level of market distortion 51 Comparative information on the in-country sites and the 3 markets 52 Recommendations 53 Other current or proposed dairy sector interventions 53 Sustainable solutions to address priority market constraints and market 53 failures Illustrative market based interventions 59 Approaches and methodologies 62 Strategies which ensure effectiveness and efficiency 63 Strategies which ensure sustainability 69 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 3 FIT RESOURCES JANUARY 2009
  • 4. Suggested BDS providers/delivery channels to target for future 72 interventions Selecting appropriate BDS providers 72 BDS performance measurements at the BDS market level 73 Annexes 78 Database of SME actors including persons interviewed Database of BDS suppliers including persons interviewed Database of targeted suppliers Itinerary FIT/RI scope of work Final instruments Data collected BDS training report Researcher training report FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 4 FIT RESOURCES JANUARY 2009
  • 5. Background and introduction In a bid to improve life through poverty reduction, a consortium of organisations comprising of Heifer International as lead, TechnoServe Inc, ILRI, ABS-TCM and ICRAF launched a 4 year program dubbed EADD (East Africa Dairy Development) funded by Bill and Melinda Gates Foundation. The programme aims to move smallholder farmers out of poverty by delivering farmer-focused, value-chain activities that are implemented simultaneously to stimulate dairy farm production, dairy-sector services, business development and dairy market pull. The vision of success for the EADD is that the lives of 179,000 families—or approximately one million people—are transformed by doubling household dairy income by 2018 through integrated interventions in dairy production, market-access and knowledge application. The consortium deemed it important to carry out a market assessment to understand the characteristics of the BDS markets in relation to existing supply, demand and transactions in the dairy sectors in some key sites in Kenya, Uganda and Rwanda. The information would: • Provide an insight into the potential of each market • Clarify opportunities for interventions • Define broad strategic approaches FIT Resources Kenya (FIT) in collaboration with Research International East Africa Ltd (RIEAL) were contracted to coordinate the market diagnostic in key locations in Kenya. The findings and recommendations of this consultancy will contribute to the market focused, sub sector approach of the EADD aimed at improving the functioning of BDS markets. The final scope of work is attached to this report (Annexes/Final Revised SOW). FIT Resources act as the lead agency and contract holder, to provide strategic leadership in devising and conducting the business development service consumer research and supplier diagnostic. Research International conduct the field work as a sub contractor, to collect primary and secondary qualitative and quantitative information, analyse, process and present the data. Methodology and activities To achieve the above results the following activities were agreed on: • Preplanning (planning meetings, research boundaries on the basis of project resources, existing sub sector information, market assessment goal/objectives/research hypothesis, developing and testing the tools, screening interviewers, target locations in each country, preliminary key informants, other current or proposed interventions) • Training (training of EADD staff, field research teams and BDS training workshop) FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 5 FIT RESOURCES JANUARY 2009
  • 6. • Field work (target groups, sample size, areas covered, team structure, consumer survey and supplier diagnostic) • Data processing (developing the data base of BDS actors, profiling the markets, choose priority constraints, identifying and scoping out sustainable solutions, defining ‘illustrative’ market based interventions and strategies, suggest appropriate BDS providers, establishing comparative information, identifying BDS performance measurements) • Presentations (stakeholder workshops and final presentation) Preplanning Relevant background information was sourced via a series of planning meeting with Technoserve and EADD consortium members. Meeting presentations and minutes are attached to this report (Annexes/Process meetings). These meetings also included setting the research boundaries on the basis of project resources, preliminary selection of target locations and the agreed definition of ‘small holder farmer’. The market assessment goal, objectives and research hypothesis were agreed as follows: The market assessment goal is: To understand the characteristics of the BDS markets in relation to existing supply, demand and transactions in key sites in Kenya. The market assessment objectives are: • To provide an insight into the potential of each market • To clarify opportunities for interventions • To define broad strategic approaches The research hypothesis is: If current BDS market dynamics are better understood then strategic approaches and interventions can be devised to develop BDS markets in a sustainable manner and benefit SMEs. It was agreed that the FIT/RI team would build capacity of the project staff to undertake future market assessments during the life of the project. Due to budget constraints a targeted number of sites were discussed that affords the best opportunities to kick-off the project and generate some ‘quick wins’. A training itinerary was also agreed upon to capacitate EADD project staff in BDS and research skills. FIT Resources provided lead for the overall assignment and liaison with Technoserve and the country office on all the pre planning activities. FIT Resources coordinated the field preparation with Research International and Technoserve including: tool development and testing, researcher selection and training and itinerary development. Different tools were developed to cover the demand (consumer) side and supply (supplier) side of the market. The final instruments and itinerary are attached to this report (Annexes/Final Instruments). The following activities were undertaken prior to the commencement of fieldwork: screening of team members, preparation and translation of questionnaires and preparation of reporting tools and manuals. Research International personnel met field staff/counterparts and finalised the selection of target locations and identification of key informants in each location. Research International finalised the training of field researchers including EADD project staff and preparations for field research. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 6 FIT RESOURCES JANUARY 2009
  • 7. No secondary information was used as the project is building on a baseline survey and an existing value chain assessment. The comprehensive examination of targeted BDS markets and value chains will assist EADD in designing systemic solutions to key market problems. The two subsystems—BDS markets and value chains—are complementary components of the larger market system into which MSEs must integrate. Training 1. BDS training workshop - FIT Resources personnel implemented an in-depth staff stakeholder training in Kenya. This 2 day formal training in diagnostic skills covered the principles and practices of BDS, BDS market development, BDS market assessment and BDS market development programme design and performance measurement. The aim of this training was to capacitate project staff and provide stakeholders with a contextual framework for the research. The workshop presentations, training materials and training reports are attached (Annexes/BDS Training). 2. Training of field research teams - teams including Technoserve and consortium member staffs, were subject to an in country briefing session prior to fieldwork commencement. The training sessions covered methodology of the assessment stages, sampling, tools and stimulus methods to use with market players and how to complete reporting formats. The aim of this training was to capacitate project staff to engage in further market diagnostics beyond the life of this collaboration. The workshop presentation and training reports are attached (Annexes/Research Training). Field work In order to complete this assignment within the defined period, a large team of interviewers, team-leaders and supervisors were assigned. Team members were recruited from the RIEAL regional offices, according to specifications based on experience and qualifications. The RIEAL Principle Researcher and a field coordinator coordinated the research at all stages, and focused on ensuring that outputs were planned in advance so time-schedules were met. They worked alongside the RIEAL existing field management structure that forms the line management for the field departments. Daily reporting of results and activities from each team was channeled back through this central management team. Research International led and implemented the field research in collaboration with EADD project staff. However no staffs were on the ground during the Kenya fieldwork. Consultations and market observation were undertaken during the fieldwork which included visiting identified target locations plus identifying and holding interviews with key informants and targeted dairy sector stakeholders relevant to the selected sites. Consumer survey - Consumer research was implemented with a selection of consumers from the core market itself with a focus on farmers and chilling plant stakeholders. However the definition regarding ‘small holder farmer’ was reviewed and altered during a process meeting and the ceiling lifted of the number of cows as many farmers in Uganda and Rwanda are large compared to Kenya’s extensive small holder population. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 7 FIT RESOURCES JANUARY 2009
  • 8. Constraints and opportunities were then identified in the areas of market access, input supply, technology/product development, management and organisation, policy, finance and infrastructure. The size and strength of the market in each specific area of the country for those services was estimated broadly plus key sub sector constraints, market failures and market opportunities defined from the demand side. Key business development services were identified that address the specific constraints and opportunities. Supplier diagnostic - Based on the identified priority services, relevant suppliers were identified and a supplier survey implemented with service providers from the support markets to determine who is supplying BDS and how. Constraints, market failures and opportunities were then determined from the supply side. A comparison of suppliers was also undertaken and the level of market distortion anticipated. Stakeholders from the business environment such as local authorities, regulators/policy makers were contacted as required to provide an overview of the business environment. Fieldwork commenced on 15th November and ended on 30th November. Three separate field teams of 6 enumerators were used with each team covering 2 sites. The three teams were supervised by 2 co-ordinators who visited all the 6 sites. The sites covered in the survey are shown below: Mweiga Kipkeleon Keiyo Ol Kalau Siongiroi Kipkaren New sites not included will be covered by Technoserve staff beyond the life of this consultancy. Sampling • The sample included 660 interviews spread across 6 sites. • 600 farmers were interviewed. • As per the briefing instructions, the teams covered a 20KM radius from the location of the chilling plant. Depending on the number of locations located within the 20 KM radius, an equal number of sampling points were picked in each location to ensure spread of interviews. • For each location, the team leader picked the starting point randomly, and using the random route method, farmers who fitted the set criteria were interviewed. Selection criteria: o Dairy Farmer o Have less than 5 mature milking cows • As for suppliers (60 were interviewed), the team picked supplier names from the farmers, other suppliers and also those they came across in the market places. From the list, a score was given to each an every supplier based on set criteria (capacity to deliver services, closeness to SMEs (In terms of understanding their culture and geography, commercial focus e.g. level of profitability, focus on services, SMEs or BDS, organizational independence- especially from donor funds, legally registered and willingness/interest/ability to partner). From the list, suppliers who met the above criteria were selected for the interviews. Key challenges of the fieldwork • Some areas in Kipkeleon and Mweiga were challenging to the interviewers because of the large distances they had to walk to reach the farmers due to large acreage of the farms, hilly terrain and lack of public transport. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 8 FIT RESOURCES JANUARY 2009
  • 9. • Kipkelion, having been one of the areas affected by post election violence, the farmers received the research team with a lot of caution. They needed assurance that the team had not been sent with political motives by their perceived political aggressors. The farmers wondered why the chief had not told them to expect the team. Fortunately, one of the team members hailed from that community and even after introducing herself as such, she was required to tell her genealogy. • The farmers complained that the questionnaire was too long as it was taking at least one hour to answer. • The Technoserve team was absent on the ground in all the sites apart from Mweiga where one staff joined the RI team towards the end of data collection. This caused delays in data collection as the research team had to find their way in the sites. Data processing Research International processed all the data collected on an ongoing basis. Research International personnel have developed a database of actors (BDS providers in each of the areas under study are listed, categorized by service provision and their location recorded). A further database defines specific provider gaps and capacities including a score against agreed selection criteria for determining target partner providers. A database of the small and micro enterprises (SMEs) interviewed has also been developed. The full data set is attached to this report (Annexes/Databases). To understand the markets, RI examined three key issues - demand, supply and transactions (the interaction between demand and supply) during the market assessment. The outcome of analyzing this information forms a picture of each BDS market showing how it works, where the opportunities for growth are, and where significant problems lie. Data analysis was undertaken to profile the markets, establish comparative information on the in-country sites (and the 3 countries) and draw conclusions from the data. A round table meeting was held in early December 08 with stakeholders to overview the methodology and process of data processing and analysis and reach consensus on the priority constraints/opportunities and identify possible solutions. The meeting presentation is attached to this report (Annexes/ Process meetings). Sustainable solutions that address priority supply side and demand side constraints were discussed. Illustrative market based interventions were also developed with a focus on potentially sustainable/profitable services that are replicable in the private sector. Strategies which ensure effectiveness, efficiency and sustainability were also discussed alongside suggested BDS performance measurements. The data processing plan was then circulated for stakeholder feedback during the analysis process and the data plan is attached to this report (Annexes/Process meetings). Comparative information on the in- country sites and 3 BDS markets was also produced. Presentations FIT Resources and Research International personnel collaboratively implemented a presentation and action planning at a stakeholder workshop in Kenya with staff, consortium members and key informants on the 7th of January 09. This workshop included a short review on the basic principles and practices of BDS and the Market Development Paradigm. All the research findings were presented and proposed illustrative solutions and FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 9 FIT RESOURCES JANUARY 2009
  • 10. performance measurements discussed (Annexes/Process meetings). Feedback was recorded and an action plan developed. FIT Resources then prepared this final draft report as and will present the final report to Technoserve with support from Research International in Nairobi, Kenya by FIT Resources and Research International on January 30th 2009. Key conclusions of the methodology • Outsourcing the market assessment to a research company ensured a more effective and efficient MA process. • A combination of outsourcing and internal capacity building ensured the best possible results. The likelihood of useful research results was ensured as EADD stayed close to the market assessment process. • The ability of EADD staff to remain consistent to the process was questionable. Staffs were not always available for the trainings and meetings as required plus EADD field staff were not available to partner on the field work in some locations drawing into question the long term ability of field staff to implement further diagnostics in new locations. • Determining a clear hypotheses and outlined market assessment goal and objectives ensured a more effective delivery of analysed data from Research International. • The market assessment focused on a holistic picture of the market and incorporated both sides of the market equation—demand and supply. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 10 FIT RESOURCES JANUARY 2009
  • 11. Findings of fieldwork and data analysis CONSUMER SURVEY by location Locations covered and key informants interviewed This study covered six locations, namely: Locations Sample size Kipkaren 100 Keiyo 100 Kipkelion 96 Siongiroi 104 Olkalou 101 Mweiga 99 Total 600 Targeted SME consumers interviewed As per the recruitment criteria, all consumers interviewed were small scale farmers currently engaging in cattle keeping among other farming activities. The study targeted farmers with less than 5 mature milking cows. Overall, a total of 600 farmers were interviewed. The number comprised of 360 (60%) males and 240 (40%) females were interviewed in the six locations. Their ages ranged from 18- 65 years as shown in the table below: SAMPLE TOTAL Male Female 18-25 26-35 36-45 46-55 56-65 65+ BASE: Total Sample 600 360 240 63 189 148 87 88 25 % Kipkaren 17 20 12 22 20 20 16 7 - Keiyo 17 16 17 11 17 18 21 17 4 Kipkelion 16 14 19 14 19 15 15 18 4 Siongiroi 17 18 16 35 22 14 17 3 8 Olkalou 17 13 23 8 12 18 15 31 32 Mweiga 17 19 13 10 11 16 16 24 52 Overall, majority of the farmers had small farms ranging from less than acre to 5 acres. However, in Keiyo and Kipkaren, a relatively high number of farmers had 5 acres of land and above. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 11 FIT RESOURCES JANUARY 2009
  • 12. Farm Sizes TOTAL Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga BASE: Total Sample 600 100 100 96 104 101 99 % Below 1 acre 11 6 1 18 17 16 10 Between 1-5 48 46 43 46 49 50 56 Above 5 acre 40 48 56 36 34 34 33 Across the six sites, farmers reported to be selling at least ¾ of their milk production. Farmers in Kipkaren followed by Kipkelion reported the highest production and sale per day milk compared to the other sites visited. Milk Production TOTAL Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga BASE: Total Sample 600 100 100 96 104 101 99 Average number of litres produced per day 10.8 12.5 10.6 12 10.1 8.7 10.9 Average number of litres sold per day(L) 7.8 9.7 8.1 8.5 6.6 6.4 7.1 Average number of litres consumed in the household 3 2.8 2.5 3.5 3.5 2.3 3.8 When asked about the contribution of the dairy farming to their total household income, half of the farmers estimated the contribution to be over 30%. On specific sites, farmers in Siongiroi, Ol Kalau and Mweiga respectfully showed a relatively heavy dependence on dairy as their main source of income. Income proportion from dairy farming TOTAL Male Female Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga BASE: Total Sample 600 360 240 100 100 96 104 101 99 % Less than 10% 13 11 17 12 10 13 9 23 14 11-30% 37 36 38 41 44 44 36 24 32 31-50% 34 35 31 24 29 36 42 32 37 51-70% 12 14 9 19 14 7 7 17 9 71-90% 4 4 3 4 3 - 7 3 4 Refused/Not mentioned 1 0 2 - - - - 2 3 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 12 FIT RESOURCES JANUARY 2009
  • 13. Market profiles Respondents interviewed in all the six sites practiced mixed agriculture; cattle keeping (100%), food crops farming (78%) and cash crops (29%). A majority (81%) of the respondents kept mixed breed of cattle. Only 14% kept indigenous while 9% kept pure breeds. Cattle breeds Total Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Total sample 600 100 100 96 104 101 99 % % % % % % % Cross breed 81 78 85 82 80 83 78 Indigenous 14 5 9 21 25 8 13 Pure breed 9 21 10 4 1 9 11 Kipkaren had a comparatively higher percentage of respondents (21%) with pure breeds followed by Mweiga (11%) and Keiyo (10%). Siongiroi had the least number of respondents (1%) with pure breeds compared to the rest of the sites. Siongiroi also had the highest percentage (25%) of respondents with indigenous breeds followed by Kipkelion with 21%. Kipkaren had the least percentage (5%) of respondents with indigenous cattle breeds followed by Olkalou (8%) and Keiyo (9%). When the farmers were asked if they had plans to change anything in their dairy farming, over ¾ of them expressed intent to change something in their dairy farming. Farmers in Keiyo had the highest percentage (93%), of those who had plans to change and was closely followed by Siongiroi (85%) and Mweiga (84%). Plans to change something in dairy farming Total Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Total sample 600 100 100 96 104 101 99 % % % % % % % Yes 79 77 93 71 85 66 84 No 21 23 7 29 15 34 16 The intended changes mentioned by the respondents are presented in the table below: Intended changes TOTAL Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga BASE: All plan to change 476 77 93 68 88 67 83 % Improve breeding / breed of cattle through breeding methods / use AI 60 71 83 75 35 54 45 Improve feed through growing better / more feed 47 56 61 41 42 42 35 Change feeding to zero grazing 39 64 76 16 17 28 28 Enlarge size of herd / Buy more cattle 37 35 54 21 26 45 39 Improve feed by buying supplements 33 47 65 24 25 15 13 Improve the veterinary treatment / drugs used on cattle 30 56 66 13 11 13 11 Improve my knowledge about dairy farming 26 34 46 9 8 36 22 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 13 FIT RESOURCES JANUARY 2009
  • 14. Improve the quality of my milk / improve my milk handling skills 23 36 53 9 8 16 12 Improve feed storage methods 21 36 35 9 14 9 19 Improve the management of my dairy as a business 21 34 48 4 7 15 11 Group together with other farmers / join association / join coop / join producer group 19 34 47 6 11 6 2 Get more money for my milk through changing buyer (general) 18 27 33 7 11 10 13 Grouping with other farmers to get a better price 17 26 39 12 7 9 5 Get more money for my milk through increasing price 13 23 28 6 7 10 4 Improve building 12 21 24 9 1 15 4 Grouping with other farmers to get cheaper inputs 11 19 31 1 - 7 2 Buy farm equipments 11 16 26 7 3 10 4 Improve technology 10 25 20 3 1 6 4 Improve transport / invest in transport 8 18 22 1 1 1 1 Improve record keeping skills and related skills 7 17 15 1 - 6 1 Improving breeds of cattle reared topped (60%) the list of the changes the respondents planned to undertake. These respondents reckoned that, pure breeds produced more milk compared to the cross-breeds that a majority kept. Almost half of the farmers (47%) noted the importance of giving their animal’s high quality feeds and disclosed that they were planning to improve the feeds they give to their cattle. These respondents said they had plans to start feeding their animals on processed feeds and also that they would farm their own feeds including Napier grass. About two fifths (39%) of the farmers said they intended to practice zero grazing. They observed that through zero grazing they would be able to feed their cattle adequately thus increasing their milk production. A significant number of farmers also indicated their plan was to increase their herds (37%). To them, the move would help increase their milk production for more income. Further, on being asked how certain they were on making the intended changes in dairy farming, majority of the farmers indicated they were “definite” or “very likely” to implement their plans as shown in the chart below. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 14 FIT RESOURCES JANUARY 2009
  • 15. Definatey will do so Very likely to do so Somewhat likely Buy farm equipments 57 39 4 Improve technology 67 25 8 Improve building 57 38 5 Improve record keeping skills and related skills 64 36 Improve my knowledge about dairy farming 60 37 3 Improve the management of my dairy as a business 58 29 13 Improve the quality of my milk / milk handling skills 72 23 5 Improve transport / invest in transport 39 39 21 Get more money for my milk through increasing price 53 44 3 Grouping with other farmers to get cheaper inputs 50 40 10 Grouping with other farmers to get a better price 45 39 16 Join association/ coop /producer group 43 42 14 Get more money for my milk through changing buyer 48 42 9 (general) Improve the veterinary treatment / drugs used on cattle 65 28 7 Improve feed storage methods 59 33 8 Improve feed by buying supplements 65 33 2 Improve feed through growing better / more feed 61 36 2 Change feeding to zero grazing 62 30 7 Enlarge size of herd / Buy more cattle 54 38 9 Improve breeding / breed of cattle through use AI 64 33 3 Awareness and frequency of use of the BD services Awareness and usage of different services among farmers was investigated. Results show that farmers had purchased a couple of services/ inputs for their dairy cattle. Almost all the farmers were aware of veterinary treatment and vaccination services, mineral supplements and supplementary feeds and also pest control related sprays. However, for AI, despite high awareness, the number of those who have ever used the services declined significantly. Further, those who claimed to be using AI services “nowadays” also showed a decline implying there was likelihood that farmers are more inclined to be using bulls for insemination. Notably, 60% of the farmers aware of AI indicated the service was adequate low demand for the service. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 15 FIT RESOURCES JANUARY 2009
  • 16. The chart below summarises awareness and usage of dairy related services and inputs. Ever Used Inadequate Purchased in Aware purchased nowadays Amount Veterinary P12M treatment services 99 99 31 92 80 Artificial Insemination (AI) 95 59 45 39 40 Mineral supplements 93 93 87 75 29 Insecticides & tick sprays 92 92 92 82 25 Supplementary 91 98 59 45 47 feeds Milk coolers 84 76 32 24 22 Veterinary vaccination 93 75 31 60 61 Milk collection/bulking 54 37 30 27 33 The table below presents services/inputs that the respondents had ever purchased by sites. Services/inputs ever purchased or received Total Male Female Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Total Sample 600 360 240 100 100 96 104 101 99 % % % % % % % % % Veterinary treatment services 99 99 98 98 98 99 98 100 99 Insecticides & tick sprays 98 97 98 92 98 97 99 100 99 Veterinary vaccination 93 93 94 92 96 95 90 92 95 Mineral supplements 92 93 92 85 91 100 100 89 88 Supplementary feeds 76 80 70 87 72 79 70 70 76 Artificial Insemination (AI) 59 66 48 87 65 32 14 75 80 Milk collection/ bulking 37 40 34 10 11 58 30 55 61 Milk coolers 30 31 28 56 4 75 41 3 1 Seeds to grow feed 25 26 24 16 12 22 19 44 39 Information/ training on 23 21 26 15 19 8 14 37 43 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 16 FIT RESOURCES JANUARY 2009
  • 17. animal husbandry Disinfectants - for cleaning and sterilizing 19 20 17 11 6 31 21 22 22 Metal milk churns 18 21 13 2 2 16 22 28 37 Milk advance payments or credit services 12 14 9 3 3 7 14 25 20 Information on dairy markets 9 9 8 10 12 1 2 21 5 Hay bailers 7 8 4 2 8 7 6 6 10 Chaff Cutters 7 7 6 8 16 5 1 4 6 On familiarity with the benefits of the dairy related services and inputs, almost half of the farmers indicated they were not completely familiar with AI benefits. Despite low awareness, a significant number of farmers were also not very familiar with the benefit of training in animal husbandry. When farmers were asked their opinion on ease of availability of services/inputs they were aware of, key services mentioned were rated as reasonably available. However, training on animal husbandry and milk advance payments were rated as unavailable though strongly needed. Overall, veterinary treatment, was rated as the most important service with AI being mentioned a distant second. Further, in terms of purchase of the services/inputs, almost all the farmers claimed to purchase on their own indicating insignificant market distortions. The chart below summarises feedback on familiarly, ease of availability, need and affordability of some of the services/inputs that farmers were aware of. Not affordable Aware (n=600) Completely familiar Easily available Very strongly even after Most important with benefit of needed saving up overall 99 75 89 82 51 45 Veterinary treatment services Artificial Insemination (AI) 95 54 70 69 57 18 Veterinary vaccination 93 69 81 77 41 8 Mineral supplements 92 76 89 78 61 6 Insecticides & tick sprays 54 91 83 94 82 5 Supplementary feeds 84 69 77 65 62 5 Milk coolers 3 64 56 45 72 73 Milk collection/bulking 54 75 56 73 49 1 Information/training on Animal husbandry 47 40 22 78 41 9 Metal milk churns 45 75 34 61 46 Milk advance payments or 38 70 1 57 credit services Milk testing kits 36 39 13 47 53 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 17 Chaff Cutters 36 FIT RESOURCES JANUARY 2009 34 9 48 69 Hay bailers 35 27 7 47 57 Information on dairy markets 35 36 76 Disinfectants - for cleaning 31 60 22 68 47 and sterilizing
  • 18. Other services that farmers mentioned to be getting from suppliers include: • Animal reproductive health and good breeds • Dehorning • Foot trimming • Transport of feeds • Credit facilities to individuals and groups (Aina Moi Advisory Centre) • Teaching on diseases • Castration • School fees and emergency loans (Olkalou Dairy) • Organizing farmers field days • Tick control • Processing yoghurt in small quantities The overriding reason for non use of some key services and inputs like AI and supplementary feeds was said to be mainly cost. However, for information on training, “where to get it” was a key constraint. Information/training on animal 30 70 husbandry n=10 Milk coolers n=6 50 17 33 Supplementary feeds n=8 100 Veterinary treatment services 96 4 n=23 Artificial Insemination (AI) 70 11 8 8 n=37 Too expensive Dont know where to get it Quality Others FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 18 FIT RESOURCES JANUARY 2009
  • 19. Key demand side constraints and opportunities To establish demand side constraints, farmers were asked to highlight the key problems they experience with their dairy enterprise. Low milk prices (45%), disease outbreaks (31%), inadequate foliage (27%), and unreliable animal health (27%) were some of the constraints identified by the respondents. All in all, for the challenges encountered varied to some extent with the location as shown in the table below. Problems encountered TOTAL Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga BASE: Total Sample 600 100 100 96 104 101 99 % Low milk prices 45 43 77 39 31 40 42 Disease outbreaks 31 38 37 32 30 25 25 Inadequate foliage e.g. grass, Napier grass etc 27 18 28 20 34 19 42 Unreliable animal health services- treatment, vaccination and drugs 27 46 41 19 23 20 11 Lack of adequate foliage e.g. grass, Napier grass etc 26 35 27 20 31 23 17 Unaffordable animal health services- treatment, vaccination and drugs 26 35 42 11 10 31 26 Unaffordable supplementary feeds e.g. dairy meal 25 37 33 11 11 37 22 Fluctuating milk prices 25 50 46 11 15 15 11 Unaffordable AI services 20 25 45 23 6 11 13 Irregular AI services 15 25 42 9 4 7 4 Delayed milk payments 14 26 37 5 4 5 7 Poor climatic conditions 14 10 14 6 21 11 19 Inaccessible roads 13 34 25 5 2 4 6 Unreliable source of supplementary feeds e.g. dairy meal 11 24 19 9 3 7 1 Low quality foliage e.g. grass, Napier grass etc 11 17 17 5 6 12 7 Exploitation by middle men 10 10 20 2 6 17 2 Unavailability of milk cooling facility 10 7 51 1 - 1 1 High transport cost 9 19 26 2 - 4 3 Inaccessible loan facilities 9 18 18 5 3 7 2 Lack of milk handling skills 8 16 21 1 1 3 4 Lack of feed storage and management skills 8 11 19 2 3 5 5 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 19 FIT RESOURCES JANUARY 2009
  • 20. Market Access Across all the sites, farmers were aware of several channels where they can sell their milk. The non-formal outlets appeared to be more popular than the formal channels. Among the non-formal channels, homes followed by brokers and direct to institutions respectfully topped the list in terms of awareness - while in the formal market; Co- operatives followed by cooling plant co-operative had the highest awareness. Majority of the farmers claimed to sell direct to homes, followed by co-operatives and brokers respectifully. However, in terms of preference, a majority stated they would be prefer the formal channels an indication of a dislike to the informal market as shown in the chart below. Base: all farmers n=600 Least preferred Could sell to Usually sells Preferred buyer to buyer Direct to homes 3 34 76 39 Farmers Cooperative/group/association 50 29 34 5 Broker 27 11 27 47 Direct to institutions 16 4 5 45 Cooling plant 26 41 26 3 Hawker 16 6 16 31 10 2 Processor 23 12 Milk bar 3 2 2 12 3 3 1 Bulking center 6 The table below shows by sites where farmers currently sell their milk. Places usually sells milk TOTAL Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga BASE: Total Sample 600 100 100 96 104 101 99 % Direct to homes e.g. Neighbours or family members 39 30 48 45 45 38 29 Farmers cooperative/group/association 29 16 22 - 36 35 67 Broker at farm gate 27 9 58 10 48 25 7 Cooling plant 26 69 6 68 14 - 1 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 20 FIT RESOURCES JANUARY 2009
  • 21. Direct to institutions e.g. school, hospital, food kiosk 16 21 19 19 20 8 10 Hawker 16 14 36 3 23 16 3 Processor 10 8 6 13 6 13 13 Milk bar 3 6 10 - 1 2 1 Bulking center 3 3 11 - 1 2 1 Among those who sell to more than one outlet, cooling plant followed by brokers were rated as the largest buyers in terms of quantity sold. This implies that although, “direct to homes” is a major market for milk, the quantities sold to them could be little compared to cooling plants. Buys most TOTAL Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga BASE: All who sell to more than one channel 319 60 71 46 67 40 35 % Cooling plant 24 67 1 59 12 - - Broker at farm gate 21 5 41 4 36 20 6 Farmers cooperative/group/association 19 2 18 - 28 30 49 Hawker 8 7 11 - 7 23 - Processor 8 7 7 7 3 10 17 Direct to institutions e.g. school, hospital, food kiosk 7 3 4 13 7 3 11 Direct to homes e.g. Neighbours or family members 6 5 6 13 4 5 6 Bulking center 3 2 10 - 1 - - Milk bar 1 2 1 - - 3 - FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 21 FIT RESOURCES JANUARY 2009
  • 22. Apart from buying milk, farmers who sell milk to the processors, cooling plant, bulking centre or the co-operative, were asked what other services they received from them, if any, and the extra service they would require. From the study, it was evident that demand for services and inputs from the milk buyers is bigger than they are currently providing. Services required Services received 6 Information on market prices 22 10 Delivery/Transport of farm inputs and animal feeds 19 11 Training on animal husbandry 33 16 AI services 31 Animal health services- treatment, vaccination and 18 drugs 39 21 Farm inputs - seeds, fertilizer 27 22 Advance on milk payments 27 25 Milk collection from the farm or near farm 35 28 Animal feeds/supplements 37 When asked whether they pay for the services, it was evident that apart from inputs, the suppliers hardly charged for the services or farmers were not aware of the charges if they were levied. Where suppliers (milk buyers) levied the charges, the main mode of payment was check off system. In terms of payment of milk proceeds, majority of the farmers claimed they were paid in cash after a specified period. This is mainly due to the fact that informal market leads in terms of milk sale channel. Barter - exchange milk for other 1 4 1 4 services 16 Receives a cheque 26 Cash deposited to a financial institution 58 51 Paid in cash after a specified period Paid cash on delivery 20 17 Mode of payment Preferred mode FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 22 FIT RESOURCES JANUARY 2009
  • 23. Asked to explain what they felt about information they had in regard to where they can sell their milk, 25% of the farmers felt they have very little information. See table below. Feeling on information of where to sell milk Total Male Female Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Total Sample 600 360 240 100 100 96 104 101 99 % % % % % % % % % Very little 25 23 28 19 18 39 44 19 10 Just enough 66 66 66 65 72 57 52 75 76 A lot 9 11 6 16 10 4 4 6 14 Cooling Plant Asked whether they were aware of any cooling plants, 75% of the farmers indicated they were aware of at least one cooling plant within their locality. However, in Keiyo, there were no mentions of a cooling plant but they were aware that plans were underway to put one in place. Whether aware of any cooling plant Total Male Female Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Total Sample 600 360 240 100 100 96 104 101 99 % % % % % % % % % Yes 75 77 72 97 - 99 92 73 88 No 25 23 28 3 100 1 8 27 12 Below are the cooling plants mentioned including: Siongiroi dairies, Angina, Kipkelion cooling plant, Watuka society,Olkalou dairy farm,Endarasha dairy ,Tuzo cooling plant, Brookside, Kamaus, Tuzo dairies,Ngina Kenyatta ,K.C.C, Kiganjo When the farmers were asked about ownership of the cooling plants, the majority indicated the facilities were owned by the co-operatives. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 23 FIT RESOURCES JANUARY 2009
  • 24. Asked what services they would like to receive from a cooling plant, farmers indicated they would expect to get a number of services which include: Training on animal 32% husbandry vaccination and drugs 44% Information on market prices 47% Credit facility 47% AI services 48% Farm inputs - seeds, fertilizer 52% Animal feeds 56% Milk collection from the farm or near farm 61% Animal health services- 62% treatment and prevention On probing further about what they would feel if they were to pay for the desired services, over 80% of the respondent indicated they would be willing pay to get the services. Information and training needs Across all the 6 sites sampled, majority of the farmers (88%) pointed out that they do not have the skills required to be good dairy farmers. The same trend was observed the two gender slits although, a slightly higher proportion of males felt they were more skilled than their female counterparts. The results below indicate that majority of the farmers are not well equipped to handle dairy efficiently as a business though they are practising it. Whether feels have the skills needed for a good dairy farmer Total Male Female Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Total Sample 600 360 240 100 100 96 104 101 99 % % % % % % % % % Yes 22 24 18 22 24 25 19 22 18 No 78 76 82 78 76 75 81 78 82 To further understand, the skill that they feel was needed to bring them to a level of skilful dairy farmers, the following information need areas were identified by a significant number FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 24 FIT RESOURCES JANUARY 2009
  • 25. of them. The results indicate there is a higher demand for skills that would enable them transform to modern farming. Disease identification, treatment and prevention 63% New animal feeds 59% Improvement of milk production 51% Cattle breeding 50% 38% Milk prices Drug administration 33% Public health issues and requirements 23% Dairy farm record keeping 23% Buyers 18% Record keeping Buyers 16% Awareness of government policies 14% Apparently, of the farmers who indicated to have attended training in the past (35%), issues that were addressed in the training were the same farmers would like to be trained on. Information/advice received Total Male Female Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Those who ever received information/advice 211 125 86 40 59 15 26 37 34 % % % % % % % % % Disease identification, treatment and prevention 55 59 48 63 69 20 27 57 53 New animal feeds 53 53 52 58 76 40 38 38 38 Improvement of milk production 43 35 53 50 49 27 27 38 47 Cattle breeding 37 39 35 28 49 40 23 46 29 Drug administration 34 40 24 35 54 20 15 27 24 Dairy farm record keeping 18 17 20 30 31 13 4 11 3 Milk prices 14 18 8 28 20 - - 14 6 Public health issues and requirements 9 10 8 10 15 20 - 11 - Record keeping 9 8 9 5 14 13 8 8 3 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 25 FIT RESOURCES JANUARY 2009
  • 26. Buyers 7 7 7 - 14 - - 16 3 Awareness of government policies 5 5 6 8 8 7 - 5 - This could be an indication that either: • Training needs highlighted by the farmers have already been identified by the suppliers and necessary actions are being taken or • Those who attended the trainings have to some extent sensitised or influenced the other farmers on the need to have the skills or information. The table below indicates different training areas/information 35% of the farmers interviews have been exposed to: To be able to reach farmers, the study sought to know where they often sought different types of information from. According to the farmers, the media (mainly radio) was identified as a key source of information. Farmers and suppliers were also stated to be key sources of information. The table below underscores the importance of media, fellow farmers and the suppliers in disseminating information to the farmers. Farmers Sources of Information Milk prices n=30 63 50 3 13 73 Buyers n=15 47 53 13 27 20 7 Record keeping n=18 50 11 17 22 17 Improvement of milk production n=90 53 32 11 7 30 8 Public health issues and requirements n=20 65 20 25 35 5 Awareness of government policies n=11 27 73 9 Cattle breeding n=79 51 28 14 6 25 11 Disease identification, treatment and prevention n=115 59 30 17 2 30 4 Drug administration n=71 56 21 21 35 4 New animal feeds n=111 61 25 13 4 15 8 Dairy farm record keeping n=38 58 8 18 16 18 Media Farmers Extension Worker (GOV) Buyer Supplier NGO The study also sought to establish if farmers keep their own record. Results indicated that over 70% of the farmers do not keep farm records. Among those who keep records, it was evident that majority of them keep only some basic records- milk sales and AI services. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 26 FIT RESOURCES JANUARY 2009
  • 27. This reinforces the need for further training on record keeping if farmers were to seriously transform their dairy farming as commercial enterprises. Do you keep any Types of Records Kept? farm records? Feeds record 16% Treatment and vaccination records 27% Record on animal No, 30% births 73 Yes , 28 Milk production 37% AI services records 43% Milk sales 68% Finance Overall, 75% of the farmers indicated they need some lump sum capital to finance their dairy farming operations. Asked where they think they can get the money from, Banks followed by co-operative topped the list as shown in the figure below. However, based on the fact that majority of them are selling milk to the informal market, it is clear that financial constraint will continue to derail commercialisation of the dairy among these target farmers unless concerted efforts are put to encourage them to sell milk to the formal institutions which can in return offer the much needed financial support. No wonder, when farmers were prompted on their willingness to pay for services and farm inputs on check-off systems, majority of them, over 80%, indicated the idea was very welcome. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 27 FIT RESOURCES JANUARY 2009
  • 28. Finance Sources 11% 1% 4% 33% 4% 5% 17% 25% Banks Cooperative SACCO Cooling plant NGOs Micro finance institutions Family/friends Suppliers No source Technology and product development Most of the farmers interviewed (65%) attested to owning or at least having some access to a mobile telephone. On follow up on how the technology can be used innovatively, farmers who sell milk to the formal channels were asked the types of information they would like to access on their phones through a short message services alerts (sms). The most desired piece of information was on disease alerts followed by milk prices as shown in the figure below. If the services were to be provided at the current SMS charge, majority of the farmers confirmed they would pay for it. Some respondents disclosed that mobile phones are an important asset in their dairy farming citing incidences where they have had to call veterinary personnel to attend to emergencies in their farms. Some farmers also appreciated that they received a lot of information from friends for example about arrival of milk buyers at the buying centres, availability of feeds and sometimes making orders of feeds through the phones and sending their workers to collect. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 28 FIT RESOURCES JANUARY 2009
  • 29. Information Via SMS 70 60 60 50 50 40 40 Required Information 30 Information Ready to pay for 30 20 20 10 10 0 0 es ps ts s ts ds s r s ts d s so ce w tie an lie ke er en ho ic ee co es vi ni pp lo al pr ar ym ks br er tu oc of su to m e ilk or /s or pa as or pr le ss ew M ts ilk /w pp tf se Sa ilk by uc ce m ke N to gs di m od Ac ed of ar ke in ow of pr M ct in ity ar C y je tra w nt m lit re ne bi ua ew g la ilk in Q of ai N rm M y Av lit fa bi ry la ai ai D Av Policy and Advocacy There are hardly any noticeable policies and advocacy initiatives that are currently taking place in the dairy sector that farmers can identify with. Over 70% of the farmers said they were not aware of any groups/ organizations that represent their own interests as dairy farmers. This could have been occasioned by the fact that only a small number (31%) of them belong to a co-operative movement. Aware of group/organization that represent own interest as a dairy farmer Total Male Female Kipkaren Keiyo Kipkelion Siongiroi Olkalou Mweiga Base: Total Sample 600 360 240 100 100 96 104 101 99 % Yes 31 37 20 37 29 32 33 18 34 No 70 63 80 63 71 68 67 82 66 FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 29 FIT RESOURCES JANUARY 2009
  • 30. Conclusions on consumer research The following conclusions on the BDS services consumed can be drawn from the research findings: • Although farmers interviewed practice mixed farming, dairy is an integral source of their household income. Therefore, any effort aiming at raising production in this sector will definitely have a significant effect on these farmers livelihoods • Whilst milk production across the six sites in below potential, farmers are on average selling milk worth about USD 1.5 per day totaling to approximately USd 45 per month o However, since majority of the farmers are selling to the informal channels, it is unlikely that payment are received as lump sum denies them the opportunity to make reasonable savings hence minimal access to credit facilities/loans • Majority of the farmers showed a high inclination towards getting more services from the cooling plant and paying later through check- off system. It would therefore be prudent for the cooling plant to extend these services as a bait to lure farmers into the formal market • AI services- Although all farmers were aware of the AI services, only 39% of the farmers are using the service currently. Most of them claim the cost of the service is high, however, this does not seem to be the underlying reason for non-use as half of the respondents are not fully aware of it’s benefits o Education on this will help more farmers attach some “value for money” to the services based on the expected benefits • From the study a number of farmers stated they are not aware where they can receive training or some information on dairy farming. On being prompted where they usually get information from; Radio, suppliers and farmers were mentioned as key sources of information o It would therefore be prudent for EADD to: Bring closer the suppliers and consumers for this mutual benefit Have more interactive sessions with farmers as the training they give is likely to filter down to other farmers Where possible, establish the key media consumed and target to reach farmers through it o Two thirds of the farmers have access to the mobile phone and in fact, a good number of them are already using it to communicate with service providers. Further, a majority of them are willing to pay to access certain services via short messages service (sms), although in actual fact, usage of sms have been confirmed to be low among the rural population. Despite the limitation, we feel the technology can be used more effectively if implemented in phases • Phase 1- EADD picks a number of farmers (particularly those who are likely to influence other farmers). Train them and be channeling information through them on non-commercial basis. Through this, the impact of the service can be monitored. • Phase 2- If phase 1 pick, commercialize the service Other conclusions • Insecticides and tick sprays are easily available and widely used in the six sites visited. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 30 FIT RESOURCES JANUARY 2009
  • 31. Veterinary treatment services are available but expensive for many farmers. The high cost makes some farmers in Kipkelion turn to traditional healers for animal treatment. • Mineral supplements and supplementary feeds are stocked in the Agrovets in the six sites and the consumers are aware though not all of them are able to purchase due to high cost. • Veterinary vaccination in all the six sites is carried out by the Government periodically when there is a disease outbreak. • Artificial Insemination is available in the six sites though farmers complained of the high charges and sometimes they opt to get the services from the bulls in their neighborhood. • Milk collection/ bulking was reported to be working well during the dry season but challenging during the wet season due to poor infrastructure and an increase in transport cost by transporters. • Milk testing kits were found to be in use only in the cooling plants. • Milk advance payments or credit services were given to the farmers who requested by the cooling plants in all the six sites. • Disinfectants - for cleaning and sterilizing were widely used by the farmers to clean the milk churns and other milking equipment. • Information/ training on animal husbandry were observed to be inadequate in all the six sites. • Seeds to grow feed were widely used in Olkalou and Mweiga but not so in the other sites. • Hay bailers and chaff cutters were not in use by farmers in the six sites. • Information on dairy markets was not adequately available to the farmers in the six sites visited. • Metal milk churns were used by the farmers to deliver milk though farmers expressed concern on the high buying cost. Business development services that address those constraints and opportunities The following key constraints can be addressed by the described BDS services1: Key constraints Examples of BDS service required Low milk prices Identify/ establish new markets Develop input suppliers capacity to offer better, less expensive inputs Identify new technologies to lower costs of production Develop the capacity of enterprises to better plan and manage their operations and improve their technical expertise Establish sustainable infrastructures that enable lower production/storage costs increased sales Disease outbreaks Identify policy constraints and opportunities for SMEs Promote the interests of SMEs via advocacy Inadequate foliage Facilitate links between SMEs and suppliers Develop input suppliers capacity to offer better quality inputs Identify and promote new technologies that produce better inputs Develop the capacity of enterprises and suppliers to improve their technical expertise 1 Please refer to recommendations for more in depth solutions that address priority market constraints and market failures FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 31 FIT RESOURCES JANUARY 2009
  • 32. Unreliable animal Enable suppliers to both expand their outreach to SMEs and health develop their capacity to offer better, less expensive inputs Facilitate links between SMEs and suppliers Identify and promote new technologies that produce better inputs Develop the capacity of enterprises to improve their technical expertise Promote the interests of SMEs via advocacy Specific policy constraints that are affecting MSE product markets The targeted farmers did not mention any policy issues that affect them. This can be interpreted to mean that the farmers were not aware of the existing policies. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 32 FIT RESOURCES JANUARY 2009
  • 33. SUPPLIER DIAGNOSTIC by location Existing providers/ services and their locations Across all the six sites visited, a number of suppliers were mentioned by the farmers, their fellow suppliers and also, as the interviewers visited the local market centre, they came into contact to a number of them. Overall, Veterinary “doctors” and Agrovets were more prominent than suppliers of other services as summarised below. Kipkaren had the least number of suppliers mentioned by farmers or sighted by the interviewers. Number of suppliers by category per site: AI Veterinary/ Agrovets/ Transporters Cooling Total Animal feeds plants clinicals Kipkelion 5 14 4 5 1 29 Olkalou 9 9 9 1 1 29 Mweiga 4 8 5 1 2 20 Siongiroi 6 3 10 2 1 22 Kipkaren 4 3 4 1 0 12 Keiyo 7 10 8 1 0 26 Total 35 47 40 11 5 138 A workable data base of the BDS actors A workable data base of these BDS providers is attached to this report (Annexes/Databases). BDS suppliers interviewed To select the suppliers to be used, a set criteria was followed which was mainly based on: • Services provided • capacity to deliver services • closeness to SMEs, • commercial focus on services, • organizational independence As per the table below most of the suppliers interviewed were privately owned enterprises mainly offering retail services. FINAL REPORT FOR BDS DIAGNOSTIC IN KENYA 33 FIT RESOURCES JANUARY 2009