SlideShare uma empresa Scribd logo
1 de 23
2019 CAADP Biennial Review (BR) Process:
Overview of the Process and
Preliminary Results of the BR-Support Pilots to
Improve Data Systems and Quality for CAADP
implementation
Samuel Benin, IFPRI
Outline: 2-part presentation
Overview of the 2019 CAADP BR process
oActivities and outputs up to the draft report presented to the
AU’s Specialized Technical Committee (STC) in Addis Ababa
on 21-25 October 2019
BR-support pilots in five countries (Kenya, Malawi,
Mozambique, Senegal, and Togo)
oSummary of activities and results—impact on reporting rate
and quality of data reported
Recommitment
to the principles
and values of the
CAADP process
Enhancing
investment
finance in
agriculture
Ending hunger
by 2025
Enhancing resilience of
livelihoods & production
systems to climate
variability and other
shocks
Strengthening mutual
accountability to
actions and results
The BR derives
from…
1 7
6
5
4
3
2
Boosting intra-African
trade in agricultural
commodities &
services
Reduce poverty by half, by
2025, through inclusive
agricultural growth
and transformation
AFRICA’S
AGRICULTURE
TRANSFORMATION
GOALS
Aspiration 1:
A prosperous
Africa based on
inclusive growth &
sustainable
development
Health &
nutrition
Ag. productivity &
production
Environment &
resilience
UN Sustainable Development Goal #2
1 7
6
543
2
CAADP
(Maputo
Declaration)
July 2003,
Maputo,
Mozambique
MALABO
DECLARATION
June 2014,
Malabo,
Equatorial
Guinea
1ST
BIENNIAL
REPORT
(2015–2016
Data)
January 2018
2ND
BIENNIAL
REPORT
(2015–2018
Data)
January 2020
FINAL
REPORT
January 2026,
Addis Ababa
The CAADP BR Timeline
GOAL FOR
ACHIEVING
MALABO
COMMITMENTS
3RD & 4TH
REPORTS
THE CAADP BIENNIAL REVIEW:
EVIDENCE-BASED AND PEER-DRIVEN
OBJECTIVE
Evaluate country
performance in
achieving the
CAADP Malabo
goals and targets
for agricultural
growth and
transformation in
Africa by 2025
7 thematic areas
23 performance
categories
43 indicators
7 thematic areas
24 performance
categories
47 indicators
1st Biennial
Review (2017)
2nd Biennial
Review (2019)
+4
+1
KEY MOMENTS IN THE 2ND BR PROCESS
Kigali,
February
2019:
training of
trainers on
tools Accra,
March 2019
Continental
training on
tools
March-
June 2019
support to
countries &
RECs on
report
April
2019
updated
technical
notes on
scores J’burg,
May 2019
structure of
the report &
products
June to
August 2019
validation in
countries &
RECs;
eBR
Sept
2019
writeshop
(Lusaka)
comm plan
(Nairobi) Addis
Ababa,
February
2020
release of
report
REPORTING ON the 1st & 2nd BRs
Submitted a report Did not submit a report
1st Biennial Review 2nd Biennial Review New member
states reporting
• Eritrea
• Guinea-Bissau
• Somalia
• South Sudan
Did not report
• Algeria
• Comoros
• Libya
• Sahrawi
• Egypt**
• Sao Tome and
Principe**
** Reported in 2017
47
8
49
6
Member states
that submitted
Members states
that did not submit
Next Steps in the 2019 BR
1.The draft 2019 CAADP BR Report and accompanying Africa
Agriculture Transformation Scorecard (AATS) were presented to
and endorsed by the 3rd Specialized Technical Committee (STC)
on Agriculture, Rural Development, Water and Environment
(ARDWE) in Addis Ababa, 21-25 October 2019.
2.The report will be presented to the Executive Council and then to
the AU Assembly in February 2020.
3.The AU Commission and the STC will hold consultative
meetings with the RECs and member states on the two
communication products that have been developed: a
Dashboard with 22 highlight indicators and a Toolkit (an online
user platform).
Introduction and objectives of the BR-support pilots
 Introduction: BMGF provided funding for IFPRI-ReSAKSS to strengthen
data systems and capacities in 5 pilot countries
 Goal: improve data systems and quality of data available for policymaking
in CAADP implementation
 Objectives: improve quality of data used in the 2019 BR process:
1.Identify gaps and challenges related to data, methodologies,
capacities, and systems
2.Strengthen human and institutional capacities in above
3.Improve the quality (accuracy, consistency, traceability, and
validity) of the data and reporting
4.Support countries to deliver a high-quality 2019 BR report
5.Develop a roadmap for countries to fill missing data for future BRs
6.Strengthen capacities in ICT for BR data management and sharing
7.Conduct strategic analysis for achieving key targets and objectives
Countries:
• Kenya
• Malawi
• Mozambique
• Senegal
• Togo
• Mozambique
• Senegal
Overview of pilot activities and results (1)
Submission
(eBR)
•July 15
•August 31
Assessment
of the
inaugural
(2017) BR
process and
report
BR Teams
(core, data
clusters,
review)
Training
(general,
focus on
gaps from
assessment)
•Data
collection
and
compilation
•Report
preparation
and
revision
Validation
(review
team,
senior mg’t,
ASWG, all
stakeholders)
Overview of pilot activities and results (2)
2017
parameters
reported of 166
Date;
Participants
(F, NSA, data
clusters)
Data compilation
retreat dates
Date;
Participants
(F, NSA)
2019
parameters
reported of 266
KEN 146 (88%) 33 (9, 12, 7) 6/7, 6/18 58 (23, 24) 244 (92%)
MWI 143 (86%) 23 (6, 2, 6) 7/1-2, 7/4-5 32 (7,12) 237 (89%)
MOZ 135 (81%) 50 (22, 2, 5) 5/27, 6/27 60 (15, 15) 218 (82%)
SEN 131 (79%) 27 (6, 3, 5) 6/11-14, 6/25 52 (10, 6) 239 (90%)
TGO 134 (81%) 41 (0, 0, 5) 6/6-8, 6/20 116 (18, 10) 247 (93%)
SubmissionAssessment BR Teams
Training
•Data
•Report
Validation
Methods for assessing impact of pilot activities
 Change in reporting rate (RR): difference-in-difference (DID)
oRR = data parameters reported as percent of total required
oCalculate change in RR between 2017 and 2019, and compare change
for pilot countries with comparable non-pilot (or like-pilot) countries
oLike-pilot = non-pilots with RR2017 similar to pilots
o+/- 1, 2, and 3 standard deviations of RR2017 mean for pilots
DID = (RR2019 – RR2017)pilots – (RR2019 – RR2017)like-pilots
 Improvement in quality of reporting (QR):
oAnalyze data issues (accuracy, consistency, validity, traceability) in
2019, count and compare incidence for pilots vs. like-pilots
Pilot vs non-pilot countries: some x’ics at 2017
List of countries (45)
Reporting
rate (%)
BR
score
ASCI agVA
(% GDP)
Pilot
Kenya, Malawi, Mozambique, Senegal,
Togo (5)
83.0 4.52 60.1 21.7
Like-pilot
+/- 1sd
Botswana, Cote d'Ivoire, Eswatini,
Gambia, Lesotho, Madagascar,
Mauritius, Namibia, Tanzania (9)
81.7 3.78 53.4** 16.3***
Like-pilot
+/- 2sd
Like-pilot 1sd plus Benin, Burkina Faso,
Cabo Verde, Djibouti, Ethiopia, Morocco,
South Africa, Uganda, Zimbabwe (18)
82.4 4.06 53.2*** 9.7***
Like-pilot
+/- 3sd
Like-pilot 2sd plus Burundi, Gabon,
Ghana, Mali, Seychelles, Zambia (24)
83.2 4.07 53.8*** 10.6***
All non-
pilots
Like-pilot 3sd plus 16 others (40) 73.9*** 3.54** 51.8*** 15.2***
 Compared to like-pilots, pilots had similar BR
score in 2017, but higher ASCI and agVA/GDP.
ASCI = Agricultural Statistics Capacity Index
agVA = agriculture value added
** & *** = significant at 5% and 1% level
Number of data parameters required has
increased overall, with declines in two themes
All
Thematic area
1 2 3 4 5 6 7
2017 166 28 20 63 21 16 7 11
2019 266 27 28 153 29 16 8 5
Change (%) 60 -4 40 143 36 0 14 -55
Impact or improvement in BR reporting rate
2017 2019 Change (%pts)
Pilots 83.0 89.1 6.1
Non-pilots
All 73.9 79.0 5.0
Like-pilots (+/- 1sd) 81.7 78.9 -2.8
Like-pilots (+/- 2sd) 82.4 80.0 -2.5
Like-pilots (+/- 3sd) 83.2 81.5 -1.7
Difference between pilots
and non-pilots: (%pts)
All 9.1*** 12.5*** 1.0
Like-pilots (+/- 1sd) 1.3 10.2*** 8.9**
Like-pilots (+/- 2sd) 0.6 9.1** 8.5**
Like-pilots (+/- 3sd) -0.2 7.6** 7.8**
DID
Compared to like-pilot countries, BR-pilot support activities helped raise their
reporting rate by 8 to 9 %pts on average.
*, **, *** = 10%, 5% and 1% significance level
Relative improvement in BR reporting rate in
the pilot countries
2017 2019
Change
%pts % over 2018
Pilots (all) 83.0 89.1 6.1 7.3
Kenya 88.0 91.7 3.8 4.3
Malawi 86.1 89.1 3.0 3.4
Mozambique 81.3 82.0 0.6 0.8
Senegal 78.9 89.8 10.9 13.9
Togo 80.7 92.9 12.2 15.1
 The improvements were largest in Senegal and Togo;
 Moderate in Malawi and Kenya; and very little in Mozambique.
Improvement in reporting rate, by thematic area (%pts)
1 2 3 3 – fs 4 5 6 7
Change: 2017 to 2019
Pilots 6.4 12.7 3.8 6.1 4.7 10.0 2.5 -2.5
Non-pilots
Like-pilots (+/- 1sd) 6.3 1.0 -4.5 -0.5 -8.6 -1.4 2.6 3.4
Like-pilots (+/- 2sd) 2.9 4.9 -3.9 -0.7 -5.4 1.0 -4.6 1.9
Like-pilots (+/- 3sd) 2.9 3.4 -4.0 -1.6 -1.2 5.2 -2.9 0.4
Difference-in-difference
Like-pilots (+/- 1sd) 0.1 11.7** 8.4*** 6.6** 13.3 11.4 -0.1 -6.0
Like-pilots (+/- 2sd) 3.5 7.8 7.7** 6.8* 10.1 9.0 7.1 -4.5
Like-pilots (+/- 3sd) 3.5 9.3* 7.9*** 7.7*** 5.9 4.8 5.4 -2.9
 Bulk of gains derived from themes 2 (agriculture investment) and 3 (food
security and nutrition; with or without the new food safety indicators).
excl. food
safety
*, **, *** = 10%, 5% and 1% significance level
Relative improvement in BR reporting rate in pilot
countries, by thematic area (2017 to 2019, %pts)
1 2 3 3 – fs 4 5 6 7
Pilots (all) 6.4 12.7 3.8 6.1 4.7 10.0 2.5 -2.5
Kenya 0.0 7.9 5.7 5.5 2.8 -25.0 30.4 -20.0
Malawi 0.0 20.0 0.9 10.3 1.0 12.5 1.8 0.0
Mozambique 0.0 7.9 8.0 7.6 -7.2 0.0 -35.7 9.1
Senegal 32.1 2.9 3.1 3.1 -8.0 31.3 16.1 -20.0
Togo 0.0 25.0 1.4 3.9 35.1 31.3 0.0 18.2
 Kenya’s overall moderate progress due to declines in themes 5 and 7
 Malawi’s overall moderate progress due to no show in food safety indicators
 Low overall performance in Mozambique driven mostly by decline in theme 6
 Senegal (lowest RR in 2017) could have achieved even more, but for theme 7
 Improvements in Togo (same RR in 2017 as Mozambique) is laudable
Quality of data reported in 2019: pilots vs. like-pilots
5
8 9
12
5
3
8
5
1
8
10
20
7
13
11
16
9
8 8
12
3
1
3
12
0
5
10
15
20
1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd
Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots
All Theme 1 Theme 2 Theme 3 Theme 4 Theme 5
Data parameters with issues, % of data parameters reported
 Overall, quality is higher in pilots than in the non-pilot countries; and
especially for themes 2 and 3.
 Mixed results for themes 1, 4, and 5; depending on the comparative like-pilot.
 No data issues or differences for themes 6 and 7 (results not shown).
Quality of data reported in 2019: pilot countries
Data parameters with issues, % of data parameters reported
 Overall, Kenya had the least issues, followed by Malawi, Togo, and Senegal;
with Mozambique having the most issues.
 Larger differences for themes 1, 4, and 5 (recall mixed results for these when
comparing with like-pilots).
 No data issues or differences for themes 6 and 7 (results not shown).
2 4
9
5 4
0 0
7
3
13
5
0
4
0 0 1
6 7 7
5
25
0
18
3
0 0
3
21
0 0
0
5
10
15
20
25
KEN
MWI
MOZ
SEN
TGO
KEN
MWI
MOZ
SEN
TGO
KEN
MWI
MOZ
SEN
TGO
KEN
MWI
MOZ
SEN
TGO
KEN
MWI
MOZ
SEN
TGO
KEN
MWI
MOZ
SEN
TGO
All Theme 1 Theme 2 Theme 3 Theme 4 Theme 5
Lessons and implications (1)
 Main factors contributing to the overall higher performance in
the pilot countries:
oCritical assessment of the gaps in the inaugural BR
oData clusters and targeted training and strategy to address the gaps
oEngagement of relevant stakeholders (including women, NSAs, and
non-agriculture experts) in the training and data compilation and
validation processes
As approach used in pilots shared with all member states  the
additional resources and hand-holding are critical
oIt is why the lower performance of Mozambique seems surprising; cited
lack of investments in data collection at national scale as main issue
Engaging all potential data providers (cluster idea) is critical
Lessons and implications (2)
 These raise a key challenge:
oHow to sustain the clusters to continuously update the data?
Engage them in using BR data to conduct policy analysis for
achieving national objectives  financial support and technical
assistance
 Some data inaccuracies/inconsistencies in 2019 will remain:
oNo time to internalize post-validation analysis to make
corrections
oLearning curve with eBR, as first time being implemented
Analysis of the data issues will be useful for improving the data
collection template and the eBR in the next round (2021)

Mais conteúdo relacionado

Semelhante a CAADP Biennial Review (BR) Process

Results Presentation 2Q16
Results Presentation 2Q16Results Presentation 2Q16
Results Presentation 2Q16TIM RI
 
Call 1 t14_eng v_final
Call 1 t14_eng v_finalCall 1 t14_eng v_final
Call 1 t14_eng v_finalArteris S.A.
 
Idea Cellular Q4FY15: PAT up 60% y-o-y; rating Under Review
Idea Cellular Q4FY15: PAT up 60% y-o-y; rating Under ReviewIdea Cellular Q4FY15: PAT up 60% y-o-y; rating Under Review
Idea Cellular Q4FY15: PAT up 60% y-o-y; rating Under ReviewIndiaNotes.com
 
Webcast Presentation CPFL Energia_2Q14
Webcast Presentation CPFL Energia_2Q14Webcast Presentation CPFL Energia_2Q14
Webcast Presentation CPFL Energia_2Q14CPFL RI
 
PAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptx
PAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptxPAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptx
PAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptxECOWAS Commission
 
IFAD WA hub planning 2020 final
IFAD WA hub planning 2020 finalIFAD WA hub planning 2020 final
IFAD WA hub planning 2020 finalBenoît THIERRY
 
TIM - Meeting with Investors, Aug 2020
TIM - Meeting with Investors, Aug 2020TIM - Meeting with Investors, Aug 2020
TIM - Meeting with Investors, Aug 2020TIM RI
 
Costos de produccion agricola fao (1)
Costos de produccion agricola fao (1)Costos de produccion agricola fao (1)
Costos de produccion agricola fao (1)IDELSO PEREZ OBLITAS
 
Asia-Pacific countries with special needs development report 2016
Asia-Pacific countries with special needs development report 2016Asia-Pacific countries with special needs development report 2016
Asia-Pacific countries with special needs development report 2016UNDP in Asia and the Pacific
 
Meeting with Investors - June 2015
Meeting with Investors - June 2015Meeting with Investors - June 2015
Meeting with Investors - June 2015TIM RI
 
Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)
Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)
Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)BablahKhan
 
atimme_EA_Poster
atimme_EA_Posteratimme_EA_Poster
atimme_EA_PosterMark Timme
 
Sabc Roadmap Strategic Roadmap
Sabc Roadmap Strategic Roadmap Sabc Roadmap Strategic Roadmap
Sabc Roadmap Strategic Roadmap SABC News
 
Bruker q1 2014 earnings presentation final
Bruker q1 2014 earnings presentation finalBruker q1 2014 earnings presentation final
Bruker q1 2014 earnings presentation finalInvestorBruker
 

Semelhante a CAADP Biennial Review (BR) Process (20)

Results Presentation 2Q16
Results Presentation 2Q16Results Presentation 2Q16
Results Presentation 2Q16
 
Call 1 t14_eng v_final
Call 1 t14_eng v_finalCall 1 t14_eng v_final
Call 1 t14_eng v_final
 
Idea Cellular Q4FY15: PAT up 60% y-o-y; rating Under Review
Idea Cellular Q4FY15: PAT up 60% y-o-y; rating Under ReviewIdea Cellular Q4FY15: PAT up 60% y-o-y; rating Under Review
Idea Cellular Q4FY15: PAT up 60% y-o-y; rating Under Review
 
Cost-Benefit Analysis of Implementing a Centralized National Agricultural Res...
Cost-Benefit Analysis of Implementing a Centralized National Agricultural Res...Cost-Benefit Analysis of Implementing a Centralized National Agricultural Res...
Cost-Benefit Analysis of Implementing a Centralized National Agricultural Res...
 
Webcast Presentation CPFL Energia_2Q14
Webcast Presentation CPFL Energia_2Q14Webcast Presentation CPFL Energia_2Q14
Webcast Presentation CPFL Energia_2Q14
 
PAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptx
PAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptxPAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptx
PAGR_SANAD DADR WEEKLY MEETING Sep.19 2022_ENG.pptx
 
IFAD WA hub planning 2020 final
IFAD WA hub planning 2020 finalIFAD WA hub planning 2020 final
IFAD WA hub planning 2020 final
 
The African Union Biennial Review process and its potential outcomes
The African Union Biennial Review process and its potential outcomesThe African Union Biennial Review process and its potential outcomes
The African Union Biennial Review process and its potential outcomes
 
TIM - Meeting with Investors, Aug 2020
TIM - Meeting with Investors, Aug 2020TIM - Meeting with Investors, Aug 2020
TIM - Meeting with Investors, Aug 2020
 
Costos de produccion agricola fao (1)
Costos de produccion agricola fao (1)Costos de produccion agricola fao (1)
Costos de produccion agricola fao (1)
 
World Economic Forum Global Competitiveness Report 2017/18
World Economic Forum Global Competitiveness Report 2017/18World Economic Forum Global Competitiveness Report 2017/18
World Economic Forum Global Competitiveness Report 2017/18
 
Asia-Pacific countries with special needs development report 2016
Asia-Pacific countries with special needs development report 2016Asia-Pacific countries with special needs development report 2016
Asia-Pacific countries with special needs development report 2016
 
TEC Presentation.pptx
TEC Presentation.pptxTEC Presentation.pptx
TEC Presentation.pptx
 
Meeting with Investors - June 2015
Meeting with Investors - June 2015Meeting with Investors - June 2015
Meeting with Investors - June 2015
 
Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)
Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)
Budget analysis of Bangladesh (FY 2009 10 to FY 2016-17)
 
atimme_EA_Poster
atimme_EA_Posteratimme_EA_Poster
atimme_EA_Poster
 
Sabc Roadmap Strategic Roadmap
Sabc Roadmap Strategic Roadmap Sabc Roadmap Strategic Roadmap
Sabc Roadmap Strategic Roadmap
 
Presentation 4Q13 and 2013
Presentation 4Q13 and 2013Presentation 4Q13 and 2013
Presentation 4Q13 and 2013
 
TCS Fact Sheet Q4 FY14
TCS Fact Sheet Q4 FY14TCS Fact Sheet Q4 FY14
TCS Fact Sheet Q4 FY14
 
Bruker q1 2014 earnings presentation final
Bruker q1 2014 earnings presentation finalBruker q1 2014 earnings presentation final
Bruker q1 2014 earnings presentation final
 

Mais de African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)

Mais de African Regional Strategic Analysis and Knowledge Support System (ReSAKSS) (20)

Dr. Marco D'errico #2021ReSAKSS - Plenary Session IV–Measurement Issues
Dr. Marco D'errico #2021ReSAKSS - Plenary Session IV–Measurement IssuesDr. Marco D'errico #2021ReSAKSS - Plenary Session IV–Measurement Issues
Dr. Marco D'errico #2021ReSAKSS - Plenary Session IV–Measurement Issues
 
Ms. Julie Collins, AKADEMIYA2063 #2021ReSAKSS Plenary Session V– Progress Tow...
Ms. Julie Collins, AKADEMIYA2063 #2021ReSAKSS Plenary Session V– Progress Tow...Ms. Julie Collins, AKADEMIYA2063 #2021ReSAKSS Plenary Session V– Progress Tow...
Ms. Julie Collins, AKADEMIYA2063 #2021ReSAKSS Plenary Session V– Progress Tow...
 
Ms. Tsitsi Makombe, AKADEMIYA2063, #2021ReSAKSS Day 1 Recap and Day 2 Program
Ms. Tsitsi Makombe, AKADEMIYA2063, #2021ReSAKSS Day 1 Recap and Day 2 ProgramMs. Tsitsi Makombe, AKADEMIYA2063, #2021ReSAKSS Day 1 Recap and Day 2 Program
Ms. Tsitsi Makombe, AKADEMIYA2063, #2021ReSAKSS Day 1 Recap and Day 2 Program
 
Dr. Simplice Nouala, (AUC-DREA), Plenary Session V–Progress Toward Achieving ...
Dr. Simplice Nouala, (AUC-DREA), Plenary Session V–Progress Toward Achieving ...Dr. Simplice Nouala, (AUC-DREA), Plenary Session V–Progress Toward Achieving ...
Dr. Simplice Nouala, (AUC-DREA), Plenary Session V–Progress Toward Achieving ...
 
Dr. Mark Constas, Cornell University, #2021ReSAKSS - Plenary Session IV–Measu...
Dr. Mark Constas, Cornell University, #2021ReSAKSS - Plenary Session IV–Measu...Dr. Mark Constas, Cornell University, #2021ReSAKSS - Plenary Session IV–Measu...
Dr. Mark Constas, Cornell University, #2021ReSAKSS - Plenary Session IV–Measu...
 
Dr. Racine Ly, AKADEMIYA2063, #2021ReSAKSS - Plenary Session IV–Measurement I...
Dr. Racine Ly, AKADEMIYA2063, #2021ReSAKSS - Plenary Session IV–Measurement I...Dr. Racine Ly, AKADEMIYA2063, #2021ReSAKSS - Plenary Session IV–Measurement I...
Dr. Racine Ly, AKADEMIYA2063, #2021ReSAKSS - Plenary Session IV–Measurement I...
 
Dr. Ebenezer Kwofie, University of Arkansas, #2021ReSAKSS Plenary Session IV ...
Dr. Ebenezer Kwofie, University of Arkansas, #2021ReSAKSS Plenary Session IV ...Dr. Ebenezer Kwofie, University of Arkansas, #2021ReSAKSS Plenary Session IV ...
Dr. Ebenezer Kwofie, University of Arkansas, #2021ReSAKSS Plenary Session IV ...
 
Dr. Benjamin Davis, FAO, #2021ReSAKSS Plenary Session III – Responses of Afri...
Dr. Benjamin Davis, FAO, #2021ReSAKSS Plenary Session III – Responses of Afri...Dr. Benjamin Davis, FAO, #2021ReSAKSS Plenary Session III – Responses of Afri...
Dr. Benjamin Davis, FAO, #2021ReSAKSS Plenary Session III – Responses of Afri...
 
Dr. Jan Duchoslav, IFPRI, #2021ReSAKSS | Plenary Session III – Responses of A...
Dr. Jan Duchoslav, IFPRI, #2021ReSAKSS | Plenary Session III – Responses of A...Dr. Jan Duchoslav, IFPRI, #2021ReSAKSS | Plenary Session III – Responses of A...
Dr. Jan Duchoslav, IFPRI, #2021ReSAKSS | Plenary Session III – Responses of A...
 
Dr. Ismaël Fofana, AKADEMIYA2063, #2021ReSAKSS | Plenary Session II - Impacts...
Dr. Ismaël Fofana, AKADEMIYA2063, #2021ReSAKSS | Plenary Session II - Impacts...Dr. Ismaël Fofana, AKADEMIYA2063, #2021ReSAKSS | Plenary Session II - Impacts...
Dr. Ismaël Fofana, AKADEMIYA2063, #2021ReSAKSS | Plenary Session II - Impacts...
 
Dr. Greenwell Matchaya, AKADEMIYA2063, #2021 ReSAKSS | Plenary Session II– Im...
Dr. Greenwell Matchaya, AKADEMIYA2063, #2021 ReSAKSS | Plenary Session II– Im...Dr. Greenwell Matchaya, AKADEMIYA2063, #2021 ReSAKSS | Plenary Session II– Im...
Dr. Greenwell Matchaya, AKADEMIYA2063, #2021 ReSAKSS | Plenary Session II– Im...
 
Dr. John Ulimwengu, IFPRI, #2021ReSAKSS | Plenary Session II– Impacts of COVI...
Dr. John Ulimwengu, IFPRI, #2021ReSAKSS | Plenary Session II– Impacts of COVI...Dr. John Ulimwengu, IFPRI, #2021ReSAKSS | Plenary Session II– Impacts of COVI...
Dr. John Ulimwengu, IFPRI, #2021ReSAKSS | Plenary Session II– Impacts of COVI...
 
Dr. Eliane Ubalijoro, Sustainability in The Digital Age & Future Earth, #2021...
Dr. Eliane Ubalijoro, Sustainability in The Digital Age & Future Earth, #2021...Dr. Eliane Ubalijoro, Sustainability in The Digital Age & Future Earth, #2021...
Dr. Eliane Ubalijoro, Sustainability in The Digital Age & Future Earth, #2021...
 
Presentation of the 2021 Africa Agriculture Trade Monitor, September 10, AGRF...
Presentation of the 2021 Africa Agriculture Trade Monitor, September 10, AGRF...Presentation of the 2021 Africa Agriculture Trade Monitor, September 10, AGRF...
Presentation of the 2021 Africa Agriculture Trade Monitor, September 10, AGRF...
 
Malawi Learning Event - Data and Analytics for Evidence-Based Policy Planning...
Malawi Learning Event - Data and Analytics for Evidence-Based Policy Planning...Malawi Learning Event - Data and Analytics for Evidence-Based Policy Planning...
Malawi Learning Event - Data and Analytics for Evidence-Based Policy Planning...
 
Malawi Learning Event - Staple Food Price dynamics - April, 28, 2021
Malawi Learning Event - Staple Food Price dynamics  - April, 28, 2021Malawi Learning Event - Staple Food Price dynamics  - April, 28, 2021
Malawi Learning Event - Staple Food Price dynamics - April, 28, 2021
 
Malawi Learning Event - Trade in Time of COVID-19 Pandemic - April, 28, 2021
Malawi Learning Event - Trade in Time of COVID-19 Pandemic - April, 28, 2021Malawi Learning Event - Trade in Time of COVID-19 Pandemic - April, 28, 2021
Malawi Learning Event - Trade in Time of COVID-19 Pandemic - April, 28, 2021
 
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
 
Malawi Learning Event - Effects of COVID-19 on Agricultural Production, Food ...
Malawi Learning Event - Effects of COVID-19 on Agricultural Production, Food ...Malawi Learning Event - Effects of COVID-19 on Agricultural Production, Food ...
Malawi Learning Event - Effects of COVID-19 on Agricultural Production, Food ...
 
Malawi Learning Event - Assessing Community vulnerability to COVID-19 - April...
Malawi Learning Event - Assessing Community vulnerability to COVID-19 - April...Malawi Learning Event - Assessing Community vulnerability to COVID-19 - April...
Malawi Learning Event - Assessing Community vulnerability to COVID-19 - April...
 

Último

Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Cantervoginip
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptSonatrach
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档208367051
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一fhwihughh
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfchwongval
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degreeyuu sss
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectBoston Institute of Analytics
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.natarajan8993
 
IMA MSN - Medical Students Network (2).pptx
IMA MSN - Medical Students Network (2).pptxIMA MSN - Medical Students Network (2).pptx
IMA MSN - Medical Students Network (2).pptxdolaknnilon
 

Último (20)

Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Canter
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
 
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
原版1:1定制南十字星大学毕业证(SCU毕业证)#文凭成绩单#真实留信学历认证永久存档
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
办理学位证纽约大学毕业证(NYU毕业证书)原版一比一
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdf
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis Project
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.
 
IMA MSN - Medical Students Network (2).pptx
IMA MSN - Medical Students Network (2).pptxIMA MSN - Medical Students Network (2).pptx
IMA MSN - Medical Students Network (2).pptx
 

CAADP Biennial Review (BR) Process

  • 1. 2019 CAADP Biennial Review (BR) Process: Overview of the Process and Preliminary Results of the BR-Support Pilots to Improve Data Systems and Quality for CAADP implementation Samuel Benin, IFPRI
  • 2. Outline: 2-part presentation Overview of the 2019 CAADP BR process oActivities and outputs up to the draft report presented to the AU’s Specialized Technical Committee (STC) in Addis Ababa on 21-25 October 2019 BR-support pilots in five countries (Kenya, Malawi, Mozambique, Senegal, and Togo) oSummary of activities and results—impact on reporting rate and quality of data reported
  • 3. Recommitment to the principles and values of the CAADP process Enhancing investment finance in agriculture Ending hunger by 2025 Enhancing resilience of livelihoods & production systems to climate variability and other shocks Strengthening mutual accountability to actions and results The BR derives from… 1 7 6 5 4 3 2 Boosting intra-African trade in agricultural commodities & services Reduce poverty by half, by 2025, through inclusive agricultural growth and transformation
  • 4. AFRICA’S AGRICULTURE TRANSFORMATION GOALS Aspiration 1: A prosperous Africa based on inclusive growth & sustainable development Health & nutrition Ag. productivity & production Environment & resilience UN Sustainable Development Goal #2 1 7 6 543 2
  • 5. CAADP (Maputo Declaration) July 2003, Maputo, Mozambique MALABO DECLARATION June 2014, Malabo, Equatorial Guinea 1ST BIENNIAL REPORT (2015–2016 Data) January 2018 2ND BIENNIAL REPORT (2015–2018 Data) January 2020 FINAL REPORT January 2026, Addis Ababa The CAADP BR Timeline GOAL FOR ACHIEVING MALABO COMMITMENTS 3RD & 4TH REPORTS
  • 6. THE CAADP BIENNIAL REVIEW: EVIDENCE-BASED AND PEER-DRIVEN OBJECTIVE Evaluate country performance in achieving the CAADP Malabo goals and targets for agricultural growth and transformation in Africa by 2025 7 thematic areas 23 performance categories 43 indicators 7 thematic areas 24 performance categories 47 indicators 1st Biennial Review (2017) 2nd Biennial Review (2019) +4 +1
  • 7. KEY MOMENTS IN THE 2ND BR PROCESS Kigali, February 2019: training of trainers on tools Accra, March 2019 Continental training on tools March- June 2019 support to countries & RECs on report April 2019 updated technical notes on scores J’burg, May 2019 structure of the report & products June to August 2019 validation in countries & RECs; eBR Sept 2019 writeshop (Lusaka) comm plan (Nairobi) Addis Ababa, February 2020 release of report
  • 8. REPORTING ON the 1st & 2nd BRs Submitted a report Did not submit a report 1st Biennial Review 2nd Biennial Review New member states reporting • Eritrea • Guinea-Bissau • Somalia • South Sudan Did not report • Algeria • Comoros • Libya • Sahrawi • Egypt** • Sao Tome and Principe** ** Reported in 2017 47 8 49 6 Member states that submitted Members states that did not submit
  • 9. Next Steps in the 2019 BR 1.The draft 2019 CAADP BR Report and accompanying Africa Agriculture Transformation Scorecard (AATS) were presented to and endorsed by the 3rd Specialized Technical Committee (STC) on Agriculture, Rural Development, Water and Environment (ARDWE) in Addis Ababa, 21-25 October 2019. 2.The report will be presented to the Executive Council and then to the AU Assembly in February 2020. 3.The AU Commission and the STC will hold consultative meetings with the RECs and member states on the two communication products that have been developed: a Dashboard with 22 highlight indicators and a Toolkit (an online user platform).
  • 10. Introduction and objectives of the BR-support pilots  Introduction: BMGF provided funding for IFPRI-ReSAKSS to strengthen data systems and capacities in 5 pilot countries  Goal: improve data systems and quality of data available for policymaking in CAADP implementation  Objectives: improve quality of data used in the 2019 BR process: 1.Identify gaps and challenges related to data, methodologies, capacities, and systems 2.Strengthen human and institutional capacities in above 3.Improve the quality (accuracy, consistency, traceability, and validity) of the data and reporting 4.Support countries to deliver a high-quality 2019 BR report 5.Develop a roadmap for countries to fill missing data for future BRs 6.Strengthen capacities in ICT for BR data management and sharing 7.Conduct strategic analysis for achieving key targets and objectives Countries: • Kenya • Malawi • Mozambique • Senegal • Togo • Mozambique • Senegal
  • 11. Overview of pilot activities and results (1) Submission (eBR) •July 15 •August 31 Assessment of the inaugural (2017) BR process and report BR Teams (core, data clusters, review) Training (general, focus on gaps from assessment) •Data collection and compilation •Report preparation and revision Validation (review team, senior mg’t, ASWG, all stakeholders)
  • 12. Overview of pilot activities and results (2) 2017 parameters reported of 166 Date; Participants (F, NSA, data clusters) Data compilation retreat dates Date; Participants (F, NSA) 2019 parameters reported of 266 KEN 146 (88%) 33 (9, 12, 7) 6/7, 6/18 58 (23, 24) 244 (92%) MWI 143 (86%) 23 (6, 2, 6) 7/1-2, 7/4-5 32 (7,12) 237 (89%) MOZ 135 (81%) 50 (22, 2, 5) 5/27, 6/27 60 (15, 15) 218 (82%) SEN 131 (79%) 27 (6, 3, 5) 6/11-14, 6/25 52 (10, 6) 239 (90%) TGO 134 (81%) 41 (0, 0, 5) 6/6-8, 6/20 116 (18, 10) 247 (93%) SubmissionAssessment BR Teams Training •Data •Report Validation
  • 13. Methods for assessing impact of pilot activities  Change in reporting rate (RR): difference-in-difference (DID) oRR = data parameters reported as percent of total required oCalculate change in RR between 2017 and 2019, and compare change for pilot countries with comparable non-pilot (or like-pilot) countries oLike-pilot = non-pilots with RR2017 similar to pilots o+/- 1, 2, and 3 standard deviations of RR2017 mean for pilots DID = (RR2019 – RR2017)pilots – (RR2019 – RR2017)like-pilots  Improvement in quality of reporting (QR): oAnalyze data issues (accuracy, consistency, validity, traceability) in 2019, count and compare incidence for pilots vs. like-pilots
  • 14. Pilot vs non-pilot countries: some x’ics at 2017 List of countries (45) Reporting rate (%) BR score ASCI agVA (% GDP) Pilot Kenya, Malawi, Mozambique, Senegal, Togo (5) 83.0 4.52 60.1 21.7 Like-pilot +/- 1sd Botswana, Cote d'Ivoire, Eswatini, Gambia, Lesotho, Madagascar, Mauritius, Namibia, Tanzania (9) 81.7 3.78 53.4** 16.3*** Like-pilot +/- 2sd Like-pilot 1sd plus Benin, Burkina Faso, Cabo Verde, Djibouti, Ethiopia, Morocco, South Africa, Uganda, Zimbabwe (18) 82.4 4.06 53.2*** 9.7*** Like-pilot +/- 3sd Like-pilot 2sd plus Burundi, Gabon, Ghana, Mali, Seychelles, Zambia (24) 83.2 4.07 53.8*** 10.6*** All non- pilots Like-pilot 3sd plus 16 others (40) 73.9*** 3.54** 51.8*** 15.2***  Compared to like-pilots, pilots had similar BR score in 2017, but higher ASCI and agVA/GDP. ASCI = Agricultural Statistics Capacity Index agVA = agriculture value added ** & *** = significant at 5% and 1% level
  • 15. Number of data parameters required has increased overall, with declines in two themes All Thematic area 1 2 3 4 5 6 7 2017 166 28 20 63 21 16 7 11 2019 266 27 28 153 29 16 8 5 Change (%) 60 -4 40 143 36 0 14 -55
  • 16. Impact or improvement in BR reporting rate 2017 2019 Change (%pts) Pilots 83.0 89.1 6.1 Non-pilots All 73.9 79.0 5.0 Like-pilots (+/- 1sd) 81.7 78.9 -2.8 Like-pilots (+/- 2sd) 82.4 80.0 -2.5 Like-pilots (+/- 3sd) 83.2 81.5 -1.7 Difference between pilots and non-pilots: (%pts) All 9.1*** 12.5*** 1.0 Like-pilots (+/- 1sd) 1.3 10.2*** 8.9** Like-pilots (+/- 2sd) 0.6 9.1** 8.5** Like-pilots (+/- 3sd) -0.2 7.6** 7.8** DID Compared to like-pilot countries, BR-pilot support activities helped raise their reporting rate by 8 to 9 %pts on average. *, **, *** = 10%, 5% and 1% significance level
  • 17. Relative improvement in BR reporting rate in the pilot countries 2017 2019 Change %pts % over 2018 Pilots (all) 83.0 89.1 6.1 7.3 Kenya 88.0 91.7 3.8 4.3 Malawi 86.1 89.1 3.0 3.4 Mozambique 81.3 82.0 0.6 0.8 Senegal 78.9 89.8 10.9 13.9 Togo 80.7 92.9 12.2 15.1  The improvements were largest in Senegal and Togo;  Moderate in Malawi and Kenya; and very little in Mozambique.
  • 18. Improvement in reporting rate, by thematic area (%pts) 1 2 3 3 – fs 4 5 6 7 Change: 2017 to 2019 Pilots 6.4 12.7 3.8 6.1 4.7 10.0 2.5 -2.5 Non-pilots Like-pilots (+/- 1sd) 6.3 1.0 -4.5 -0.5 -8.6 -1.4 2.6 3.4 Like-pilots (+/- 2sd) 2.9 4.9 -3.9 -0.7 -5.4 1.0 -4.6 1.9 Like-pilots (+/- 3sd) 2.9 3.4 -4.0 -1.6 -1.2 5.2 -2.9 0.4 Difference-in-difference Like-pilots (+/- 1sd) 0.1 11.7** 8.4*** 6.6** 13.3 11.4 -0.1 -6.0 Like-pilots (+/- 2sd) 3.5 7.8 7.7** 6.8* 10.1 9.0 7.1 -4.5 Like-pilots (+/- 3sd) 3.5 9.3* 7.9*** 7.7*** 5.9 4.8 5.4 -2.9  Bulk of gains derived from themes 2 (agriculture investment) and 3 (food security and nutrition; with or without the new food safety indicators). excl. food safety *, **, *** = 10%, 5% and 1% significance level
  • 19. Relative improvement in BR reporting rate in pilot countries, by thematic area (2017 to 2019, %pts) 1 2 3 3 – fs 4 5 6 7 Pilots (all) 6.4 12.7 3.8 6.1 4.7 10.0 2.5 -2.5 Kenya 0.0 7.9 5.7 5.5 2.8 -25.0 30.4 -20.0 Malawi 0.0 20.0 0.9 10.3 1.0 12.5 1.8 0.0 Mozambique 0.0 7.9 8.0 7.6 -7.2 0.0 -35.7 9.1 Senegal 32.1 2.9 3.1 3.1 -8.0 31.3 16.1 -20.0 Togo 0.0 25.0 1.4 3.9 35.1 31.3 0.0 18.2  Kenya’s overall moderate progress due to declines in themes 5 and 7  Malawi’s overall moderate progress due to no show in food safety indicators  Low overall performance in Mozambique driven mostly by decline in theme 6  Senegal (lowest RR in 2017) could have achieved even more, but for theme 7  Improvements in Togo (same RR in 2017 as Mozambique) is laudable
  • 20. Quality of data reported in 2019: pilots vs. like-pilots 5 8 9 12 5 3 8 5 1 8 10 20 7 13 11 16 9 8 8 12 3 1 3 12 0 5 10 15 20 1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd 1sd 2sd 3sd Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots Pilots Like-pilots All Theme 1 Theme 2 Theme 3 Theme 4 Theme 5 Data parameters with issues, % of data parameters reported  Overall, quality is higher in pilots than in the non-pilot countries; and especially for themes 2 and 3.  Mixed results for themes 1, 4, and 5; depending on the comparative like-pilot.  No data issues or differences for themes 6 and 7 (results not shown).
  • 21. Quality of data reported in 2019: pilot countries Data parameters with issues, % of data parameters reported  Overall, Kenya had the least issues, followed by Malawi, Togo, and Senegal; with Mozambique having the most issues.  Larger differences for themes 1, 4, and 5 (recall mixed results for these when comparing with like-pilots).  No data issues or differences for themes 6 and 7 (results not shown). 2 4 9 5 4 0 0 7 3 13 5 0 4 0 0 1 6 7 7 5 25 0 18 3 0 0 3 21 0 0 0 5 10 15 20 25 KEN MWI MOZ SEN TGO KEN MWI MOZ SEN TGO KEN MWI MOZ SEN TGO KEN MWI MOZ SEN TGO KEN MWI MOZ SEN TGO KEN MWI MOZ SEN TGO All Theme 1 Theme 2 Theme 3 Theme 4 Theme 5
  • 22. Lessons and implications (1)  Main factors contributing to the overall higher performance in the pilot countries: oCritical assessment of the gaps in the inaugural BR oData clusters and targeted training and strategy to address the gaps oEngagement of relevant stakeholders (including women, NSAs, and non-agriculture experts) in the training and data compilation and validation processes As approach used in pilots shared with all member states  the additional resources and hand-holding are critical oIt is why the lower performance of Mozambique seems surprising; cited lack of investments in data collection at national scale as main issue Engaging all potential data providers (cluster idea) is critical
  • 23. Lessons and implications (2)  These raise a key challenge: oHow to sustain the clusters to continuously update the data? Engage them in using BR data to conduct policy analysis for achieving national objectives  financial support and technical assistance  Some data inaccuracies/inconsistencies in 2019 will remain: oNo time to internalize post-validation analysis to make corrections oLearning curve with eBR, as first time being implemented Analysis of the data issues will be useful for improving the data collection template and the eBR in the next round (2021)