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Five cash transfer programs in five countries:
What can we say about the potential for SCT programs
to deliver economic gains to the rural poor?
Solomon Asfaw and Joshua Dewbre
ESA Seminar
Thursday, April 17, 2014
Rome, Italy
Impact evaluations across SSA countries
•  Malawi SCT
–  Mchinji pilot, 2008-2009
–  Expansion, 2013-2014
•  Kenya
–  CT OVC, Pilot 2007-2011
–  CT OVC, Expansion, 2012-2014
–  HSNP, Pilot 2010-2012
•  Mozambique PSA
–  Expansion, 2008-2009
•  Zambia
–  Monze pilot, 2007-2010
–  Child Grant, 2010-2013
•  South Africa CSG
–  Retrospective, 2010
•  Burkina Faso
–  Experiment, 2008-2010
•  Ethiopia
–  PNSP, 2006-2010
–  Tigray SPP, 2012-2014
•  Ghana LEAP
–  Pilot, 2010-2012
•  Lesotho, CGP
–  Pilot, 2011-2013
•  Uganda, SAGE
–  Pilot, 2012-2014
•  Zimbabwe, SCT
–  Pilot, 2013-2015
•  Tanzania, TASAF
–  Pilot, 2009-2012
–  Expansion, 2012-2014
What we hypothesized
Primary targets: income safety net + investment in health &
education of children.
But reasons to believe the transfer might enable:
► increased investment in productive activity: on & off-farm
► investment in crop inputs and farm implements
► purchases of livestock
► increase in labor devoted to more productive and desirable
employment
► reduction in less desirable forms of employment (casual piece job
agricultural labor)
► participation in social networks of reciprocity and support
...so, what do we see?
Analytical framework
Pre-program level program execution Post program level
Comparison group
Program group
ΔP
ΔC
Impact
ΔP = Change in level of program group
ΔC = Change in level of comparison group
ΔP-ΔC = Impact of program (DD)
► Randomized phase-in of beneficiaries creates treatment (T)
and control groups (C)
► Impacts are established comparing changes in indicators
between T and C (difference-in-differences)
What we find: productive activities
Zambia Malawi Kenya Lesotho Ghana
Agricultural	
  inputs	
   +++	
   -­‐	
  -­‐	
  -­‐	
   ++	
   +++	
  
Agricultural	
  tools	
   +++	
   +++	
   NS	
   NS	
   NS	
  
Agricultural	
  produc4on	
   +++	
   NS	
   ++(1)	
   NS	
  
Home	
  produc4on	
  of	
  
food	
  
NS	
   +++	
   +++	
   NS	
  
Livestock	
  ownership	
   All	
  types	
   All	
  types	
   Small	
   ++(2)	
   NS	
  
Non	
  farm	
  enterprise	
  
(NFE)	
  
+++	
   NS	
   +FHH	
   NS	
   NS	
  
1)  Maize and garden plot vegetables
2)  Pigs
What we find: labor allocation
adults Zambia Kenya Malawi Lesotho Ghana
Agricultural/casual	
  wage	
  
labor	
  
-­‐	
  -­‐	
  -­‐	
   -­‐	
  -­‐	
  -­‐	
   -­‐	
  -­‐	
  -­‐	
   -­‐-­‐	
   NS	
  
Family	
  farm	
   +++	
   +++	
   +++	
   NS	
   +++	
  
Non	
  farm	
  business	
  (NFE)	
   +++	
   +++	
   NS	
   NS	
  
Non	
  agricultural	
  wage	
  labor	
   +++	
   NS	
   NS	
   NS	
   NS	
  
children
Wage	
  labor	
   NS	
   NS	
   -­‐	
  -­‐	
  -­‐	
   NS	
   NS	
  
Family	
  farm	
   NS	
   -­‐	
  -­‐	
  -­‐	
  (1)	
   +++	
   NS	
   NS	
  
1) Particularly older boys
Shift from to own
farm
No clear picture on child labor
(but usually positive impacts
on schooling)
What we find: social networks and risk coping
strategies
Zambia Kenya Malawi Ghana Lesotho
Nega4ve	
  risk	
  coping	
  	
   -­‐	
  -­‐	
  -­‐	
   -­‐	
  -­‐	
  -­‐	
  
Pay	
  off	
  debt	
   +++	
   +++	
   NS	
  
Borrowing	
   -­‐	
  -­‐	
  -­‐	
   NS	
   -­‐	
  -­‐	
  -­‐	
   NS	
  
Purchase	
  on	
  credit	
   NS	
   NS	
   NS	
  
Savings	
   +++	
   +++	
   +++	
  
Give	
  informal	
  transfers	
   NS	
   +++	
   +++	
  
Receive	
  informal	
  transfers	
   -­‐	
  -­‐	
  -­‐	
   NS	
   +++	
  
Qualitative results:
Ø Re-engagement with social networks, re-investing in alliances and social security
Ø Allow to participate, to “mingle” again
Ø Increase in savings, paying off debt and credit worthiness
What we find: food security
Zambia Kenya Malawi Ghana Lesotho
Inadequate	
  for	
  @	
  least	
  1	
  month	
   NS	
  
Months	
  with	
  sufficient	
  food	
   +++	
   NS	
  
Months	
  some	
  shortage	
   +++	
  
Months	
  extra	
  shortage	
   -­‐	
  -­‐	
  -­‐	
  
Eats	
  more	
  than	
  one	
  meal	
  a	
  day	
   +++	
   +++	
  
Food	
  security	
  scale	
   +++	
   +++	
   +++	
   NS	
  
Is	
  not	
  severely	
  food	
  insecure	
   +++	
  
BeSer	
  off	
  than	
  12	
  months	
  ago	
   +++	
  
Child	
  smaller	
  meal	
   -­‐	
  -­‐	
  -­‐	
  
Child	
  fewer	
  meals	
  than	
  needed	
   -­‐	
  -­‐	
  -­‐	
   -­‐	
  -­‐	
  -­‐	
  	
  
Child	
  sleep	
  hungry	
   -­‐	
  -­‐	
  -­‐	
   NS	
  
Food security asked about in different ways across countries. All, however, positive.
What	
  we	
  find:	
  nutri/on	
  
Zambia Kenya (1) Malawi Ghana Lesotho
Meat	
   +++	
   +++	
   +++	
   -­‐	
  -­‐	
  -­‐	
   NS	
  
Dairy	
   +++	
   +++	
   +++	
   NS	
   NS	
  
Cereals	
   +++	
   NS	
   +++	
   NS	
   NS	
  
Fruits/vegetables	
   NS	
   NS	
   +++	
   NS	
   NS	
  
Sugars	
   +++	
   +++	
   +++	
   NS	
   NS	
  
Fats,	
  oil,	
  other	
   +++	
   +++	
   +++	
   +++	
   NS	
  
Dietary	
  diversity	
   +++	
   +++	
   +++	
   NS	
   NS	
  
1)	
  2007-­‐2009	
  
no	
  impact	
  
Big	
  impact	
  
What explains difference in impact?
Crop	
  	
   Livestock	
   NFE	
   Produc/ve	
  
labor	
  
Social	
  
Network	
  
Food	
  
security	
  
Zambia	
   yes	
   yes	
   yes	
   yes	
   yes	
  
Malawi	
   yes	
   yes	
   no	
   yes	
   small	
   yes	
  
Kenya	
   no	
   small	
   yes	
   yes	
  
Lesotho	
   yes	
   small	
   no	
   no	
   yes	
   yes	
  
Ghana	
   no	
   no	
   no	
   small	
   small	
   small	
  
Targeting important
è Transfers impact productive outcomes more if targeted to less
labor constrained hhlds
Under 5
5 to 9
10 to 14
15 to 19
20 to 24
25 to 29
30 to 34
35 to 39
40 to 44
45 to 49
50 to 54
55 to 59
60 to 64
65 to 69
70 to 74
75 to 79
80 to 84
85 to 89
Over 90
1000 500 500 1000population
Males Females
Ghana LEAP
Under 5
5 to 9
10 to 14
15 to 19
20 to 24
25 to 29
30 to 34
35 to 39
40 to 44
45 to 49
50 to 54
55 to 59
60 to 64
65 to 69
70 to 74
75 to 79
80 to 84
85 to 89
Over 90
2000 500 500 2000population
Males Females
Zambia CGP
Predictability of payment important
è  Reliable source of income enables appropriate planning, which
leads to consumption smoothing and investment.
0
1
Sep-10
Nov-10
Jan-11
Mar-11
May-11
Jul-11
Sep-11
Nov-11
Jan-12
Mar-12
May-12
Jul-12
Sep-12
#ofpayments
Zambia CGP
0
1
2
3
4
5
6
#ofpayments
Ghana LEAP
Value of transfer important
0
5
10
15
20
25
30
35
40
Ghana
LEAP
(old)
Kenya
CT-OVC
(big)
Burkina Kenya
CT-OVC
RSA CSG Lesotho
CGP
(base)
Ghana
LEAP
(current)
Kenya
CT-OVC
(small)
Zim
(HSCT)
Zambia
CGP
Zambia
MCP
Malawi
SCT
Widespread impact
Selective impact
%orpercapitaincomeofpoor
è Little impact for transfers <20-30% of per capita consumption
…and account for inflation
è  None indexed with inflation, though value of transfer adjusted in some
countries.
0
1,000
2,000
3,000
KenyanShilling
2007 2008 2009 2010 2011
Kenya CT-OVC erosion of transfer
…evidence cash transfers need not be
conditional
Zambia	
   Kenya	
  (1)	
   Malawi	
   Ghana	
   Lesotho	
  
Total	
   +++	
   +++	
   +++	
   NS	
   NS	
  
Food	
   +++	
   +++	
   +++	
   NS	
   NS	
  
Educa4on	
   NS	
   NS	
   NS	
   NS	
   +++	
  
Health	
   +++	
   +++	
   +++	
   NS	
   NS	
  
Clothing	
   +++	
   +++	
  (2)	
   NS	
   +++	
  
Alcohol/tobacco	
   NS	
   NS	
   NS	
   NS	
   -­‐	
  -­‐	
  -­‐	
  
1) 2007-2009
2) Changes of clothing, not consumption per se
unique
For each Cedi
transferred local
income increases by
2.5 Cedi
(90% CI: 2.38-2.65)
Nearly all the spillover
goes to non-
beneficiary households
Local economy and supply response
important
Production constraints can limit supply response, which
may lead to higher prices and a lower multiplier
If supply response is constrained, real
income multiplier can be as low as 1.50
Size of income multiplier varies by context
Differences across countries:
Openness of local economies
Where money is spent in local economy
0
0.5
1
1.5
2
2.5
3
Kenya
(Nyanza)
Ethiopia (Abi-
Adi)
Zimbabwe Zambia Kenya
(Garissa)
Lesotho Ghana Ethiopia
(Hintalo)
Nominal multiplier Real multiplier
►  Demographic profile of beneficiary households
•  Available labor: OVC? Households with young children?
►  Relevance of messaging and soft conditions on social
spending
►  Access to productive assets
►  Value of the transfer relative to the total expenditure
►  Relative importance of subsistence agriculture, diversity of
the local economy, nature of market constraints : e.g.
openness of local economies, where money is spent in local
economy
►  Coordination with other interventions
Differences across countries: in summary
Relative impacts between programmes dependent on:
Making cash transfers more productive:
operational and policy
1.  Ensure transfers meet threshold & sustain them over
time
2.  Ensure payment predictability
3.  Link transfers to supply side interventions
4.  Target households with higher potential to sustainably
achieve self-reliance (e.g. less labour constrained
households)
5.  Consider messaging: unconditional cash transfers
successful in achieving desired outcomes; sharpen focus
towards productive objectives?
Cash transfers needs to be part of a
rural development strategy
► Potential conflicts with social objectives but on other hand, social
ministries increasingly recognize the need to focus on livelihoods as
well
► Cash transfer programmes cannot replace sector economic
development strategy, nor do they constitute a motor of growth in
and of themselves
► Almost three quarters of economically active rural population are
smallholders, most producing own food
► Small holder agriculture as key for rural poverty reduction and food
security in Sub Saharan Africa
–  Relies on increased productivity, profitability and sustainability of small
holder farming
► Social protection and agriculture need to be articulated as part of
strategy of rural development
–  Link to graduation strategies
Our websites
From Protection to Production Project
http://www.fao.org/economic/PtoP/en/
The Transfer Project
http://www.cpc.unc.edu/projects/transfer

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Five cash transfer programs in five countries: What can we say about the potential for social cash transfer programs to deliver economic gains to the rural poor?

  • 1. Five cash transfer programs in five countries: What can we say about the potential for SCT programs to deliver economic gains to the rural poor? Solomon Asfaw and Joshua Dewbre ESA Seminar Thursday, April 17, 2014 Rome, Italy
  • 2. Impact evaluations across SSA countries •  Malawi SCT –  Mchinji pilot, 2008-2009 –  Expansion, 2013-2014 •  Kenya –  CT OVC, Pilot 2007-2011 –  CT OVC, Expansion, 2012-2014 –  HSNP, Pilot 2010-2012 •  Mozambique PSA –  Expansion, 2008-2009 •  Zambia –  Monze pilot, 2007-2010 –  Child Grant, 2010-2013 •  South Africa CSG –  Retrospective, 2010 •  Burkina Faso –  Experiment, 2008-2010 •  Ethiopia –  PNSP, 2006-2010 –  Tigray SPP, 2012-2014 •  Ghana LEAP –  Pilot, 2010-2012 •  Lesotho, CGP –  Pilot, 2011-2013 •  Uganda, SAGE –  Pilot, 2012-2014 •  Zimbabwe, SCT –  Pilot, 2013-2015 •  Tanzania, TASAF –  Pilot, 2009-2012 –  Expansion, 2012-2014
  • 3. What we hypothesized Primary targets: income safety net + investment in health & education of children. But reasons to believe the transfer might enable: ► increased investment in productive activity: on & off-farm ► investment in crop inputs and farm implements ► purchases of livestock ► increase in labor devoted to more productive and desirable employment ► reduction in less desirable forms of employment (casual piece job agricultural labor) ► participation in social networks of reciprocity and support ...so, what do we see?
  • 4. Analytical framework Pre-program level program execution Post program level Comparison group Program group ΔP ΔC Impact ΔP = Change in level of program group ΔC = Change in level of comparison group ΔP-ΔC = Impact of program (DD) ► Randomized phase-in of beneficiaries creates treatment (T) and control groups (C) ► Impacts are established comparing changes in indicators between T and C (difference-in-differences)
  • 5. What we find: productive activities Zambia Malawi Kenya Lesotho Ghana Agricultural  inputs   +++   -­‐  -­‐  -­‐   ++   +++   Agricultural  tools   +++   +++   NS   NS   NS   Agricultural  produc4on   +++   NS   ++(1)   NS   Home  produc4on  of   food   NS   +++   +++   NS   Livestock  ownership   All  types   All  types   Small   ++(2)   NS   Non  farm  enterprise   (NFE)   +++   NS   +FHH   NS   NS   1)  Maize and garden plot vegetables 2)  Pigs
  • 6. What we find: labor allocation adults Zambia Kenya Malawi Lesotho Ghana Agricultural/casual  wage   labor   -­‐  -­‐  -­‐   -­‐  -­‐  -­‐   -­‐  -­‐  -­‐   -­‐-­‐   NS   Family  farm   +++   +++   +++   NS   +++   Non  farm  business  (NFE)   +++   +++   NS   NS   Non  agricultural  wage  labor   +++   NS   NS   NS   NS   children Wage  labor   NS   NS   -­‐  -­‐  -­‐   NS   NS   Family  farm   NS   -­‐  -­‐  -­‐  (1)   +++   NS   NS   1) Particularly older boys Shift from to own farm No clear picture on child labor (but usually positive impacts on schooling)
  • 7. What we find: social networks and risk coping strategies Zambia Kenya Malawi Ghana Lesotho Nega4ve  risk  coping     -­‐  -­‐  -­‐   -­‐  -­‐  -­‐   Pay  off  debt   +++   +++   NS   Borrowing   -­‐  -­‐  -­‐   NS   -­‐  -­‐  -­‐   NS   Purchase  on  credit   NS   NS   NS   Savings   +++   +++   +++   Give  informal  transfers   NS   +++   +++   Receive  informal  transfers   -­‐  -­‐  -­‐   NS   +++   Qualitative results: Ø Re-engagement with social networks, re-investing in alliances and social security Ø Allow to participate, to “mingle” again Ø Increase in savings, paying off debt and credit worthiness
  • 8. What we find: food security Zambia Kenya Malawi Ghana Lesotho Inadequate  for  @  least  1  month   NS   Months  with  sufficient  food   +++   NS   Months  some  shortage   +++   Months  extra  shortage   -­‐  -­‐  -­‐   Eats  more  than  one  meal  a  day   +++   +++   Food  security  scale   +++   +++   +++   NS   Is  not  severely  food  insecure   +++   BeSer  off  than  12  months  ago   +++   Child  smaller  meal   -­‐  -­‐  -­‐   Child  fewer  meals  than  needed   -­‐  -­‐  -­‐   -­‐  -­‐  -­‐     Child  sleep  hungry   -­‐  -­‐  -­‐   NS   Food security asked about in different ways across countries. All, however, positive.
  • 9. What  we  find:  nutri/on   Zambia Kenya (1) Malawi Ghana Lesotho Meat   +++   +++   +++   -­‐  -­‐  -­‐   NS   Dairy   +++   +++   +++   NS   NS   Cereals   +++   NS   +++   NS   NS   Fruits/vegetables   NS   NS   +++   NS   NS   Sugars   +++   +++   +++   NS   NS   Fats,  oil,  other   +++   +++   +++   +++   NS   Dietary  diversity   +++   +++   +++   NS   NS   1)  2007-­‐2009   no  impact   Big  impact  
  • 10. What explains difference in impact? Crop     Livestock   NFE   Produc/ve   labor   Social   Network   Food   security   Zambia   yes   yes   yes   yes   yes   Malawi   yes   yes   no   yes   small   yes   Kenya   no   small   yes   yes   Lesotho   yes   small   no   no   yes   yes   Ghana   no   no   no   small   small   small  
  • 11. Targeting important è Transfers impact productive outcomes more if targeted to less labor constrained hhlds Under 5 5 to 9 10 to 14 15 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85 to 89 Over 90 1000 500 500 1000population Males Females Ghana LEAP Under 5 5 to 9 10 to 14 15 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85 to 89 Over 90 2000 500 500 2000population Males Females Zambia CGP
  • 12. Predictability of payment important è  Reliable source of income enables appropriate planning, which leads to consumption smoothing and investment. 0 1 Sep-10 Nov-10 Jan-11 Mar-11 May-11 Jul-11 Sep-11 Nov-11 Jan-12 Mar-12 May-12 Jul-12 Sep-12 #ofpayments Zambia CGP 0 1 2 3 4 5 6 #ofpayments Ghana LEAP
  • 13. Value of transfer important 0 5 10 15 20 25 30 35 40 Ghana LEAP (old) Kenya CT-OVC (big) Burkina Kenya CT-OVC RSA CSG Lesotho CGP (base) Ghana LEAP (current) Kenya CT-OVC (small) Zim (HSCT) Zambia CGP Zambia MCP Malawi SCT Widespread impact Selective impact %orpercapitaincomeofpoor è Little impact for transfers <20-30% of per capita consumption
  • 14. …and account for inflation è  None indexed with inflation, though value of transfer adjusted in some countries. 0 1,000 2,000 3,000 KenyanShilling 2007 2008 2009 2010 2011 Kenya CT-OVC erosion of transfer
  • 15. …evidence cash transfers need not be conditional Zambia   Kenya  (1)   Malawi   Ghana   Lesotho   Total   +++   +++   +++   NS   NS   Food   +++   +++   +++   NS   NS   Educa4on   NS   NS   NS   NS   +++   Health   +++   +++   +++   NS   NS   Clothing   +++   +++  (2)   NS   +++   Alcohol/tobacco   NS   NS   NS   NS   -­‐  -­‐  -­‐   1) 2007-2009 2) Changes of clothing, not consumption per se unique
  • 16. For each Cedi transferred local income increases by 2.5 Cedi (90% CI: 2.38-2.65) Nearly all the spillover goes to non- beneficiary households Local economy and supply response important
  • 17. Production constraints can limit supply response, which may lead to higher prices and a lower multiplier If supply response is constrained, real income multiplier can be as low as 1.50
  • 18. Size of income multiplier varies by context Differences across countries: Openness of local economies Where money is spent in local economy 0 0.5 1 1.5 2 2.5 3 Kenya (Nyanza) Ethiopia (Abi- Adi) Zimbabwe Zambia Kenya (Garissa) Lesotho Ghana Ethiopia (Hintalo) Nominal multiplier Real multiplier
  • 19. ►  Demographic profile of beneficiary households •  Available labor: OVC? Households with young children? ►  Relevance of messaging and soft conditions on social spending ►  Access to productive assets ►  Value of the transfer relative to the total expenditure ►  Relative importance of subsistence agriculture, diversity of the local economy, nature of market constraints : e.g. openness of local economies, where money is spent in local economy ►  Coordination with other interventions Differences across countries: in summary Relative impacts between programmes dependent on:
  • 20. Making cash transfers more productive: operational and policy 1.  Ensure transfers meet threshold & sustain them over time 2.  Ensure payment predictability 3.  Link transfers to supply side interventions 4.  Target households with higher potential to sustainably achieve self-reliance (e.g. less labour constrained households) 5.  Consider messaging: unconditional cash transfers successful in achieving desired outcomes; sharpen focus towards productive objectives?
  • 21. Cash transfers needs to be part of a rural development strategy ► Potential conflicts with social objectives but on other hand, social ministries increasingly recognize the need to focus on livelihoods as well ► Cash transfer programmes cannot replace sector economic development strategy, nor do they constitute a motor of growth in and of themselves ► Almost three quarters of economically active rural population are smallholders, most producing own food ► Small holder agriculture as key for rural poverty reduction and food security in Sub Saharan Africa –  Relies on increased productivity, profitability and sustainability of small holder farming ► Social protection and agriculture need to be articulated as part of strategy of rural development –  Link to graduation strategies
  • 22. Our websites From Protection to Production Project http://www.fao.org/economic/PtoP/en/ The Transfer Project http://www.cpc.unc.edu/projects/transfer