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Theme 1: Sustainable Financing of African
Agricultural R&D

Gert-Jan Stads
ASTI program | International Food Policy Research Institute

Keith Fuglie
Economic Research Service | United States Department of Agriculture
- the views expressed are the authors’ own and not necessarily those of ERS or the USDA.
IAAE Symposium on Improving Returns to Agricultural
Research in Sub-Saharan Africa
Foz do Iguaçu | 20 August 2012
Outline presentation


• How much and how well do African governments
  and donors invest in agricultural R&D?
   - Options for improving efficiency of R&D investment

• Is agricultural R&D in Africa paying off?
   - R&D, technological change, and productivity growth
   - Productivity growth and poverty reduction

• Future prospects for agricultural growth
Africa’s investment challenge: Uneven growth

          20% growth in SSA public agricultural
                R&D spending, 2000-08
                                2.0                                                                         • Growth driven by only
                                                                                                              a few countries
SSA Agricultural R&D spending




                                1.5
                                                                                                            • Growth not always
                                                                                                              sustainable
     (biilion 2005 PPP $)




                                1.0
                                                                                                            • Region-wide growth
                                                                                                              masks severe declines
                                                                                                              in many other (mainly
                                0.5
                                                                                                              francophone West
                                                                                                              African) countries
                                0.0
                                      1971




                                                    1979

                                                           1983

                                                                  1987

                                                                         1991

                                                                                1995

                                                                                       1999

                                                                                              2003
                                             1975




                                                                                                     2007
Africa’s investment challenge: Fragmentation
Africa’s investment challenge: Underinvestment




• Common target: Allocation of at least 1 % of GDP to R&D
• In 2008, Africa spent $0.61 for every $100 of AgGDP on
  agricultural R&D
• Despite an overall increase in recent years, Africa is widely
  underinvesting in agricultural R&D
Africa’s investment challenge: Volatility

                                                  40     Burkina Faso
                                                                                                    • Agricultural R&D spending in
                                                  30
                                                  20                                                  Africa has been more volatile
 Agricultural R&D spending (miilion 2005 PPP $)




                                                  10
                                                    0                                                 than in other regions
                                                        1981 1985 1989 1993 1997 2001 2005
                                                  440
                                                  330
                                                         Nigeria                                    • Volatility more pronounced in
                                                  220
                                                  110
                                                                                                      donor-dependent low-income
                                                    0
                                                        1981 1985 1989 1993 1997 2001 2005
                                                                                                      countries
                                                    4
                                                    3
                                                         Gabon
                                                                                                    • Stable and sustainable
                                                    2
                                                    1                                                 government funding is key,
                                                    0
                                                        1991     1994   1997   2000   2003   2006     not just towards salaries but
                                                  40
                                                  30
                                                         Niger
                                                                                                      also to enable necessary
                                                  20
                                                  10                                                  nonsalary expenditures
                                                   0
                                                        1981 1985 1989 1993 1997 2001 2005
Africa’s investment challenge: Donor dependency


                                       100                                         • Many countries are
 Share in total funding, 2001-08 (%)




                                                                                     extremely dependent
                                        80
                                                                                     on donor funding and
                                                      Spread of
                                        60           donor share                     development bank
                                                                                     loans
                                        40
                                                                                   • Donor funding is
                                        20
                                                                   Average donor
                                                                       share
                                                                                     generally short-term
                                                                                     and ad-hoc, adding to
                                         0                                           the volatility
                                             Madagascar




                                                     Togo
                                              Mauritania
                                                   Eritrea




                                                    Benin
                                                 Tanzania




                                                  Zambia




                                                Mauritius
                                                 Namibia
                                                  Senegal


                                                  Gambia
                                                      Mali




                                                    Kenya
                                                    Niger




                                             Côte d'Ivoire
                                                  Burundi
                                                  Uganda




                                               Botswana
                                             Burkina Faso




                                             South Africa
                                                   Ghana
                                                   Guinea




                                                                                   • Increased funding
                                                                                     from World Bank
                                                                                     (loans) in recent years
Funding Agricultural R&D through
Commodity Levies

  Current: $127 million; Potential: $500 million
        Country        Product       R&D           Industry     Product R&D   All Public R&D
                                   spending          value        intensity      intensity
                                  Million $PPP   Million $PPP       %               %
  Ghana               Cocoa          33.25           757            4.4            0.9
  Côte d’Ivoire       Multiple       42.60         7,847            na             0.5
  South Africa        Sugar          18.59           673            2.8            2.0
  Kenya               Tea            3.10            369            0.8            1.3
  Kenya               Coffee         5.78             45           12.8            1.3
  Malawi/Zimbabwe Tea                2.42             65            3.7            0.7
  Mauritius           Sugar          9.89            149            6.6            3.9
  Tanzania            Coffee         3.43             46            7.4            0.5
  Tanzania            Tobacco        0.06             81            0.1            0.5
  Tanzania            Tea            4.10             37           11.1            0.5
  Uganda              Coffee         4.75            228            2.1            1.2

  Source: Byerlee 2011 and ASTI
Agricultural total factor productivity (TFP)
has picked up, but still lags
Increase in output growth has been primarily resource-led
with some rise in TFP growth




                           Data &
                           Statistics




         Source: Fuglie and Rada (forthcoming)
Diffusion of new agricultural technologies in SSA
picked up after 1980




   Source: Fuglie and Rada (forthcoming)
Policy reforms since mid-1980s improved incentives
for agriculture




    Source: Kym & Anderson (2008), World Bank
Drivers of agricultural TFP growth in SSA
(from regression analysis)
  • Technology policy
      – R&D investment main driver of TFP growth
  • Economic reforms
      – Raised TFP by 5% (out of 35% growth since mid-1980s)
  • Low returns to schooling
      – Reflect countries still in ‘traditional agriculture’
  • Armed conflict stops growth
  • HIV/AIDS suppresses TFP growth
      – 5% of population infected reduces TFP by >2%
  • Road data too limited to draw inference


   Source: Fuglie and Rada (forthcoming)
Returns to Agricultural R&D in SSA

• Returns higher for larger countries
• CGIAR complements national agricultural research
  investments
• Aggregate impact limited by low investment
          Research System                            Returns to Research
                                            B/C ratio     IRR (%)      IRR (%)
                                            w/ CGIAR     w/ CGIAR     w/o CGIAR
              Nigeria, Sudan, Ethiopia,
 Large        Kenya, Côte d’Ivoire, Ghana
                                               4.4          43             36
              Uganda, Senegal, Mali
 Mid-size     Mozambique, Madagascar
                                               2.6          29             23
              Gabon, Burundi, Gambia,
 Small        Botswana, Swaziland
                                               1.6          17             13

 CGIAR        In SSA only                      6.2          58             --
 Source: Fuglie and Rada (forthcoming)
How does Agricultural R&D Affect Poverty?

• Poverty head count impact lower in SSA compared
  with other developing regions
• Poverty gap impact likely to be much larger

                    Relation          Elasticity

   Poverty head count and output       -0.220

   Output and R&D                      +0.049

   Poverty head count and R&D          -0.011
   Source: Nin-Pratt and Fan (2010)
New Directions and Prospects for Future


Reasons for optimism          Reasons for pessimism
• Better macroeconomic        • Private sector technology
  management                    transfer still low
• Strong demand growth        • “Small country” problem
• Renewed interest by           and inefficient R&D
  governments & donors in     • African farmers still face
  agriculture                   very low incentives
• Policy reform


  Source: Binswanger (2011)
Ways of Moving Forward



 • Mobilize greater government support for agricultural
   R&D
 • Better coordinate donor support with national priorities
 • Promote regional cooperation
 • Reform policy to facilitate private-sector participation
THANK YOU

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Sustainable financing of ag research asti - iaae

  • 1. Theme 1: Sustainable Financing of African Agricultural R&D Gert-Jan Stads ASTI program | International Food Policy Research Institute Keith Fuglie Economic Research Service | United States Department of Agriculture - the views expressed are the authors’ own and not necessarily those of ERS or the USDA. IAAE Symposium on Improving Returns to Agricultural Research in Sub-Saharan Africa Foz do Iguaçu | 20 August 2012
  • 2. Outline presentation • How much and how well do African governments and donors invest in agricultural R&D? - Options for improving efficiency of R&D investment • Is agricultural R&D in Africa paying off? - R&D, technological change, and productivity growth - Productivity growth and poverty reduction • Future prospects for agricultural growth
  • 3. Africa’s investment challenge: Uneven growth 20% growth in SSA public agricultural R&D spending, 2000-08 2.0 • Growth driven by only a few countries SSA Agricultural R&D spending 1.5 • Growth not always sustainable (biilion 2005 PPP $) 1.0 • Region-wide growth masks severe declines in many other (mainly 0.5 francophone West African) countries 0.0 1971 1979 1983 1987 1991 1995 1999 2003 1975 2007
  • 5. Africa’s investment challenge: Underinvestment • Common target: Allocation of at least 1 % of GDP to R&D • In 2008, Africa spent $0.61 for every $100 of AgGDP on agricultural R&D • Despite an overall increase in recent years, Africa is widely underinvesting in agricultural R&D
  • 6. Africa’s investment challenge: Volatility 40 Burkina Faso • Agricultural R&D spending in 30 20 Africa has been more volatile Agricultural R&D spending (miilion 2005 PPP $) 10 0 than in other regions 1981 1985 1989 1993 1997 2001 2005 440 330 Nigeria • Volatility more pronounced in 220 110 donor-dependent low-income 0 1981 1985 1989 1993 1997 2001 2005 countries 4 3 Gabon • Stable and sustainable 2 1 government funding is key, 0 1991 1994 1997 2000 2003 2006 not just towards salaries but 40 30 Niger also to enable necessary 20 10 nonsalary expenditures 0 1981 1985 1989 1993 1997 2001 2005
  • 7. Africa’s investment challenge: Donor dependency 100 • Many countries are Share in total funding, 2001-08 (%) extremely dependent 80 on donor funding and Spread of 60 donor share development bank loans 40 • Donor funding is 20 Average donor share generally short-term and ad-hoc, adding to 0 the volatility Madagascar Togo Mauritania Eritrea Benin Tanzania Zambia Mauritius Namibia Senegal Gambia Mali Kenya Niger Côte d'Ivoire Burundi Uganda Botswana Burkina Faso South Africa Ghana Guinea • Increased funding from World Bank (loans) in recent years
  • 8. Funding Agricultural R&D through Commodity Levies Current: $127 million; Potential: $500 million Country Product R&D Industry Product R&D All Public R&D spending value intensity intensity Million $PPP Million $PPP % % Ghana Cocoa 33.25 757 4.4 0.9 Côte d’Ivoire Multiple 42.60 7,847 na 0.5 South Africa Sugar 18.59 673 2.8 2.0 Kenya Tea 3.10 369 0.8 1.3 Kenya Coffee 5.78 45 12.8 1.3 Malawi/Zimbabwe Tea 2.42 65 3.7 0.7 Mauritius Sugar 9.89 149 6.6 3.9 Tanzania Coffee 3.43 46 7.4 0.5 Tanzania Tobacco 0.06 81 0.1 0.5 Tanzania Tea 4.10 37 11.1 0.5 Uganda Coffee 4.75 228 2.1 1.2 Source: Byerlee 2011 and ASTI
  • 9. Agricultural total factor productivity (TFP) has picked up, but still lags
  • 10. Increase in output growth has been primarily resource-led with some rise in TFP growth Data & Statistics Source: Fuglie and Rada (forthcoming)
  • 11. Diffusion of new agricultural technologies in SSA picked up after 1980 Source: Fuglie and Rada (forthcoming)
  • 12. Policy reforms since mid-1980s improved incentives for agriculture Source: Kym & Anderson (2008), World Bank
  • 13. Drivers of agricultural TFP growth in SSA (from regression analysis) • Technology policy – R&D investment main driver of TFP growth • Economic reforms – Raised TFP by 5% (out of 35% growth since mid-1980s) • Low returns to schooling – Reflect countries still in ‘traditional agriculture’ • Armed conflict stops growth • HIV/AIDS suppresses TFP growth – 5% of population infected reduces TFP by >2% • Road data too limited to draw inference Source: Fuglie and Rada (forthcoming)
  • 14. Returns to Agricultural R&D in SSA • Returns higher for larger countries • CGIAR complements national agricultural research investments • Aggregate impact limited by low investment Research System Returns to Research B/C ratio IRR (%) IRR (%) w/ CGIAR w/ CGIAR w/o CGIAR Nigeria, Sudan, Ethiopia, Large Kenya, Côte d’Ivoire, Ghana 4.4 43 36 Uganda, Senegal, Mali Mid-size Mozambique, Madagascar 2.6 29 23 Gabon, Burundi, Gambia, Small Botswana, Swaziland 1.6 17 13 CGIAR In SSA only 6.2 58 -- Source: Fuglie and Rada (forthcoming)
  • 15. How does Agricultural R&D Affect Poverty? • Poverty head count impact lower in SSA compared with other developing regions • Poverty gap impact likely to be much larger Relation Elasticity Poverty head count and output -0.220 Output and R&D +0.049 Poverty head count and R&D -0.011 Source: Nin-Pratt and Fan (2010)
  • 16. New Directions and Prospects for Future Reasons for optimism Reasons for pessimism • Better macroeconomic • Private sector technology management transfer still low • Strong demand growth • “Small country” problem • Renewed interest by and inefficient R&D governments & donors in • African farmers still face agriculture very low incentives • Policy reform Source: Binswanger (2011)
  • 17. Ways of Moving Forward • Mobilize greater government support for agricultural R&D • Better coordinate donor support with national priorities • Promote regional cooperation • Reform policy to facilitate private-sector participation