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Africa Agriculture Transformation Policy Drivers
5 or 6 types of agricultural transformation
taking place in Africa, based on initial
values (2003) and growth rates (2003-
2018) of:
 Agriculture employment share (agEMPsh)
 Agriculture GDP share (agGDPsh)
 Agriculture labor productivity (agGDPwk)
 Expected growth rate or change (∆tx):
 ∆tagEMPsh<0, ∆tagGDPsh<0,
∆tagGDPwk>0
Ag transformation policy drivers (BR indicators):
 Institutions: planning & implementation (1.1, 1.3,
7.1), inclusion (1.2), food safety laws (3.6i), risk
management (6.2), mutual accountability (7.2)
 Technologies and knowledge: investment in ag—
general (2.1i, 2.1ii), R&D (3.1v) & food safety (3.6i),
quality of technologies (3.1iii)
 Human capital: social protection (3.4), building
resilience (6.2)
 Infrastructure: food safety response (3.6i),
physical & ICT (5.2i, 6.2)
 Markets and trade: food safety standards (3.6i),
cross-border & trade agreements (5.2i)
Group 2—
 Initial high agEMPsh &
agGDPsh
 ∆tagGDPwk ≀ 0
 Recent non-ag income
sources  ag neglected
 Upside: resources to finance
R&D, rural infrastructure,
human capital, etc.
Group 3—
 Initial high agEMPsh &
agGDPsh
 ∆tagGDPsh ≄ 0
 Ag will continue to dominate
 Improve non-farm rural
economy to absorb excess ag
labor (non-farm jobs, human
capital, rural infrastructure)
Group 4—
 Initial high agEMPsh & agGDPsh
 ∆tx in right direction
 Larger ag-favorable (NGA, COD,
etc.): access to markets, jobs
 Smaller ag-favorable (MWI, RWA,
etc.): R&D vs. input subsidies
 More vulnerable (ETH, NER, etc.):
CSTs, social protection
Group 5—
 UMI countries with initial
low agEMPsh & agGDPsh
 ∆tx in right direction
 Lower progress in quality
of technologies
 Improve inputs standards
and regulations
Group 1—
 Initial high agEMPsh & low
agGDPsh
 ∆tagEMPsh≄0, ∆tagGDPsh≄0
 Non-ag income sources
 Least progress in all indicators
 Diversification into ag & non-
farm jobs for excess ag labor
 R&D, rural infrastructure,
human capital
Initial values
Low agEMPsh, low agGDPsh
High agEMPsh, low agGDPsh
High agEMPsh, high agGDPsh
∆t agEMPsh (%)
≄0
∆t agGDPsh (%)
≄0
∆t agGDPwk (%)
≀-3
-3< x ≀0
≄3
≄3
≄3

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Africa Agriculture Transformation Policy Drivers - 16th CAADP PP, 24 - 25 November 2020

  • 1. Africa Agriculture Transformation Policy Drivers 5 or 6 types of agricultural transformation taking place in Africa, based on initial values (2003) and growth rates (2003- 2018) of:  Agriculture employment share (agEMPsh)  Agriculture GDP share (agGDPsh)  Agriculture labor productivity (agGDPwk)  Expected growth rate or change (∆tx):  ∆tagEMPsh<0, ∆tagGDPsh<0, ∆tagGDPwk>0 Ag transformation policy drivers (BR indicators):  Institutions: planning & implementation (1.1, 1.3, 7.1), inclusion (1.2), food safety laws (3.6i), risk management (6.2), mutual accountability (7.2)  Technologies and knowledge: investment in ag— general (2.1i, 2.1ii), R&D (3.1v) & food safety (3.6i), quality of technologies (3.1iii)  Human capital: social protection (3.4), building resilience (6.2)  Infrastructure: food safety response (3.6i), physical & ICT (5.2i, 6.2)  Markets and trade: food safety standards (3.6i), cross-border & trade agreements (5.2i) Group 2—  Initial high agEMPsh & agGDPsh  ∆tagGDPwk ≀ 0  Recent non-ag income sources  ag neglected  Upside: resources to finance R&D, rural infrastructure, human capital, etc. Group 3—  Initial high agEMPsh & agGDPsh  ∆tagGDPsh ≄ 0  Ag will continue to dominate  Improve non-farm rural economy to absorb excess ag labor (non-farm jobs, human capital, rural infrastructure) Group 4—  Initial high agEMPsh & agGDPsh  ∆tx in right direction  Larger ag-favorable (NGA, COD, etc.): access to markets, jobs  Smaller ag-favorable (MWI, RWA, etc.): R&D vs. input subsidies  More vulnerable (ETH, NER, etc.): CSTs, social protection Group 5—  UMI countries with initial low agEMPsh & agGDPsh  ∆tx in right direction  Lower progress in quality of technologies  Improve inputs standards and regulations Group 1—  Initial high agEMPsh & low agGDPsh  ∆tagEMPsh≄0, ∆tagGDPsh≄0  Non-ag income sources  Least progress in all indicators  Diversification into ag & non- farm jobs for excess ag labor  R&D, rural infrastructure, human capital Initial values Low agEMPsh, low agGDPsh High agEMPsh, low agGDPsh High agEMPsh, high agGDPsh ∆t agEMPsh (%) ≄0 ∆t agGDPsh (%) ≄0 ∆t agGDPwk (%) ≀-3 -3< x ≀0 ≄3 ≄3 ≄3