SlideShare a Scribd company logo
ReSAKSS Regional Analysis on
Agricultural Expenditures and
   Agricultural Policy Bias:
         Africa Wide
 Babatunde Omilola and Melissa Lambert
               April, 2009
1. Overview of public expenditures
         across the world
How does Africa’s public spending compare to public
             spending in other regions?
Public expenditures across world regions,
                                                      2000 international dollars, billions
                                       5000
2000 international dollars, billions




                                       4500
                                       4000
                                       3500
                                       3000
                                                      1980         1990          2000         2005
                                       2500
                                       2000
                                       1500
                                       1000
                                        500
                                          0
                                              SSA (13 countries) N. Africa (3 countries) LAC (16 countries)   Asia (11 countries) Total (43 countries)



                               Spending in SSA and N. Africa
                                                                                                           Total spending increased by 6
                           increased by 3.7 percent from 1980-
                                                                                                           percent from 1980-2005, the
                               2005. In SSA alone, spending
                                                                                                          majority of which was from Asia
                                 increased by 4.9 percent

                Source: Calculated using data from International Monetary Fund’s (IMF) Government Financial Statistics Yearbook
Public expenditures across world regions,
                                            Percentage of GDP (%)
                       Public expenditures as a percentage of GDP is a more useful measure of the amount a
                       country spends relative to the size of its economy
                        45
                        40
                                                                                           1980           1990            2000        2005
                        35
Percentage of GDP, %




                        30
                        25
                        20
                        15
                        10
                         5
                         0
                              SSA (13 countries) N. Africa (3 countries) LAC (16 countries)              Asia (11 countries)     Total (43 countries)


                                                         Under this measure, Africa has
                                                        spent the most, although in SSA
                                                       this share has declined since 1980.
                        Sources: Calculated using data from International Monetary Fund's Government Finance Statistics
How have governments allocated their total
                                                   spending?
                                          Since 1980, the share of spending on health, education and agriculture
                                           in SSA has increased slightly while spending on defense has declined.

                             100%
                              90%
                              80%
Share of total spending, %




                              70%                                                                                                 Other
                              60%                                                                                                 Defense
                              50%                                                                                                 Social Security
                              40%                                                                                                 T&C
                                                                                                                                  Health
                              30%
                                                                                                                                  Education
                              20%
                                                                                                                                  Agriculture
                              10%
                               0%
                                     1980 1990 2000 2005                 1980 1990 2000 2005                1980 1990 2000 2005
                                            SSA                                  Asia                               LAC
                                                  The share of spending on agriculture in SSA
                                              increased since 2000 but remains at the 1980 level
                                                                and below 10%.
                              Sources: Calculated using data from International Monetary Fund's Government Finance Statistics
Agriculture expenditures across regions
                                        Agriculture expenditures by region,                                                                            Agriculture expenditures by region as
                                        2000 international dollars (billions)                                                                                share of agriculture GDP




                                                                                                      Agriculture expenditure share of agriculture
                                                                                                                                                     16
                                       250
2000 international dollars, billions




                                                                                                                                                     14
                                       200                                                                                                           12

                                                                                                                                                     10




                                                                                                                        GDP, %
                                       150
                                                                                                                                                      8
                                       100                                                                                                            6

                                                                                                                                                      4
                                        50
                                                                                                                                                      2
                                         0                                                                                                            0
                                                 1980        1990         2000       2005                                                                    1980     1990     2000      2005
                                       North Africa       SSA       LAC      ASIA       TOTAL                                                         North Africa     SSA      LAC      ASIA

                                       The level of agricultural spending is                                                                             Yet as a share of agriculture GDP,
                                       much higher in Asia than in N. Africa,                                                                        expenditures on agriculture are highest
                                                   SSA and LAC                                                                                         in N. Africa – but still lowest in SSA.

                                        Sources: Calculated using data from International Monetary Fund's Government Finance Statistics
Drawing conclusions from the figures
• Although SSA has increased total spending
  and agricultural spending, the levels are much
  lower than other regions of the world
• Therefore, SSA, as a region, will need to
  increase its level of public spending on
  agriculture in order to experience successful
  transformation that Asian countries did
  through the green revolution
2. Agriculture spending in Africa
  Country Progress towards the Maputo
            Declaration target
Progress towards the Maputo
                       Declaration target
    • The African continent as a whole has not met the
      10% target (current spending at 6-8 percent)
    • But, this varies by country                 Only 8
                                                                                          countries have
                           Agricultural Expenditures as a share of total (%), 2007         met the 10%
    25                                                                                        target
    20
                          CURRENT, 2007 (Unless otherwise noted)
    15
%




    10
    5
    0
           Central African…




           Madagascar**




               Ghana****
         Guinea Bissau***




               Morocco**
                Gabon***




                      Mali
                    Nigeria
                    DRC**




                   Egypt**




             Swaziland**




                Benin****
              Burundi***




                 Tunisia**




                  Chad***
               Kenya****

             Uganda****


               Tanzania**




                    Malawi
                 Sudan***




                  Zambia*


               Gambia***




                   Senegal

                    Niger*
             Cote d'Ivoire




                Lesotho**




                      Togo
              Mauritius**




               Namibia**




               Ethiopia**
                   Rwanda


                 Botswana




           Mauritania***




          Mozambique**




               Guinea***
             Cameroon**




             Zimbabwe**




            Burkina Faso*
                                         *=2006; **=2005; ***=2004; ****=2008 estimates
    Sources: Various, compiled by ReSAKSS.
Have countries increased their spending in
      response to the 2003 Maputo Declaration?
• At the continental level,                                      Level of agricultural spending as a share of
                                                                          total spending, 2002-2005
  agricultural spending
  nearly doubled between                                    70.0%
  2000 and 2005                                             60.0%




                               % of reporting countries
• In 2003, only 3.2% of
  countries allocated 10%                                   50.0%
  or more of their budgets                                  40.0%
  to agriculture
   – This increased to 33.3%                                30.0%
     in 2006 before slightly
     falling to 25% in 2007                                 20.0%

• 9 countries increased                                     10.0%
  their allocations from
                                                             0.0%
  less than 5% spending to
  5-10% spending                                                       2002      2003      2004    2005     2006    2007
                                                               Less than 5%             5%-10%            More than 10%

                                                          Sources: Various, compiled by ReSAKSS.
Agriculture expenditures as a share of
                    agricultural GDP
    • Measures government spending on agriculture relative to the size of that
      country's agriculture sector
    • Under this measure, more countries fall into the category of low budget
      support to agriculture
                   Agricultural expenditures as a share of agricultural GDP, 2007
    80

    60     The range is
                                                    CURRENT, 2007 (Unless otherwise noted)
           considerable
%




    40
            (1 to 60%)
    20

    0




                                                        *=2006; **=2005; ***=2008 estimates
On aggregate , Africa spends between 5-7%
                                                      Sources: Various, compiled by ReSAKSS.
    of agricultural GDP on agriculture,
 compared to 15% in Asia during its Green
                Revolution
3. Development Assistance to
     Agriculture in Africa
Development Assistance for African
          agriculture
Since 1995, official development assistance (ODA) to
agriculture in Africa has fallen and has been less than
ODA to emergency relief and food aid




  Sources: OECD statistical portal, accessed November, 2008.
Agricultural aid to Africa, by country
                                                     10    All countries spent
       Agricultural aid as a share of total aid, %

                                                      9   less than 10% of aid
                                                      8         budgets on
                                                      7         agriculture
                                                      6
                                                      5
                                                      4
                                                      3
                                                      2
                                                      1
                                                      0




                                                                     2002   2003   2004   2005   2006

• Agriculture has not been prominent on the donor agenda, perhaps not because
of any conscious decisions but due to pressure to broaden the aid agenda
• It is crucial for development agencies to also commit to the 10% budgetary
allocation to agriculture          Source: OECD statistical portal, accessed November, 2008.
4. Reaching the first Millennium
   Development Goal in Africa
Is it possible at the continental-level and
                country-level?
MDG1 in Africa
• African agriculture will need to grow at a rapid rate of 7.5 percent
  annually in order for the continent to meet the MDG1
• At the country level:
    – Mali, Nigeria, Burkina Faso, Tanzania, Mauritania, Ethiopia, Cameroon,
      Uganda, Mozambique, and Ghana, require a growth rate of 6 percent or
      less
• To achieve the desired growth rates, overall, African countries will
  need to boost their agricultural spending to $33 to $39 billion
  annually (in 2000 international dollars) from 2005-2015
    – This translates into an increase of agricultural spending by 20 to 24
      percent annually
• At the country level:
    – Ethiopia, Ghana, Mozambique, and Uganda can potentially reach MDG1
      by increasing agricultural expenditures by up to 10 percent annually
    – The majority of countries, however, will need to scale up spending by 20
      to 30 percent per year

                                 Source: Fan, et al. 2008. ReSAKSS Working Paper No. 25
5. Agricultural Bias in Africa
Policy bias against agriculture – what remains?
Policy bias against agriculture in Africa
• Distortionary policies have been reduced in Africa
  over time, yet substantial distortions remain and
  still impose a large tax burden on Africa’s poor
• Distortionary polices worsened following
  independence, but after the 1970s, various
  reforms successfully reduced them and now
  average rates of agricultural taxation are at their
  pre-1960 levels
• African farmers have become less taxed in part
  because of the changing trade orientation of
  African agriculture

                                     Source: Anderson and Masters, 2009.
Nominal Rate of Assistance
• NRA = the percentage by which government
  policies have raised gross returns to farmers
  above what they would have been without
  the government’s intervention
• If NRA is positive, then farmer support is high
• If NRA is negative, farmers are being taxed



                                   Source: Anderson and Masters, 2009.
Nominal Rate of Assistance
• In Africa, NRA were less than 10% in early 1960s, rose sharply in
  1960-70, and has since fallen to below the early 1960s level
• At the country level, from 1960 to present:
    – There were major reductions in farmer taxation in Ghana, Uganda,
      Tanzania, Cameroon, Senegal and Madagascar from reforms that
      occurred between 1975-79 and 2000-04
    – There was a shift from taxation of farmers to support of farmers in
      Mozambique and Kenya
    – There was a shift from slight support of farmers to slight taxation in
      Nigeria
    – Continued heavy taxation of farmers in Cote d’Ivoire, Zambia and
      Zimbabwe
    – NRAs favored sugar, rice and milk the most and taxed coffee, cotton,
      tobacco and cocoa the most
    – NRAs favored import-competing products while taxing exportables
        • In other words, NRAs were in favor of self-sufficiency

                                                               Source: Anderson and Masters, 2009.
Consumer tax equivalents
• CTE = the percentage by which policies have
  raised prices paid by consumers of agricultural
  outputs
• If CTE is positive, consumers are essentially
  paying a tax on agricultural goods
• If CTE is negative, consumers are essentially
  receiving a subsidy for agricultural goods


                                   Source: Anderson and Masters, 2009.
Consumer tax equivalents
• In Africa, CTE reached -10% immediately
  following independence, fell to -17% by the
  early 1970s, and then gradually progressed to
  zero today
• Historically, (in dollar terms),
  – subsidies to consumers were the largest in
    Ethiopia and Sudan
  – tax on consumers has been the largest in Nigeria
    and South Africa
                                      Source: Anderson and Masters, 2009.

More Related Content

What's hot

2012 09 sub saharan africa economy
2012 09 sub saharan africa economy2012 09 sub saharan africa economy
2012 09 sub saharan africa economy
augustin59
 
Public Attitudes to Immigration: Findings from Ipsos Global @dvisor
Public Attitudes to Immigration: Findings from Ipsos Global @dvisorPublic Attitudes to Immigration: Findings from Ipsos Global @dvisor
Public Attitudes to Immigration: Findings from Ipsos Global @dvisor
Ipsos UK
 
Human Resource Allocations in African Agricultural Research: What Do The Data...
Human Resource Allocations in African Agricultural Research: What Do The Data...Human Resource Allocations in African Agricultural Research: What Do The Data...
Human Resource Allocations in African Agricultural Research: What Do The Data...
Agricultural Science & Technology Indicators (ASTI)
 
Gil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der Waal
Gil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der WaalGil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der Waal
Gil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der Waal
Samantha James
 
Pavel Vavra
Pavel VavraPavel Vavra
Pavel Vavra
cropprotection
 
Is Warren 'Winning'?
Is Warren 'Winning'?Is Warren 'Winning'?
Is Warren 'Winning'?
Institute for Policy Studies
 

What's hot (6)

2012 09 sub saharan africa economy
2012 09 sub saharan africa economy2012 09 sub saharan africa economy
2012 09 sub saharan africa economy
 
Public Attitudes to Immigration: Findings from Ipsos Global @dvisor
Public Attitudes to Immigration: Findings from Ipsos Global @dvisorPublic Attitudes to Immigration: Findings from Ipsos Global @dvisor
Public Attitudes to Immigration: Findings from Ipsos Global @dvisor
 
Human Resource Allocations in African Agricultural Research: What Do The Data...
Human Resource Allocations in African Agricultural Research: What Do The Data...Human Resource Allocations in African Agricultural Research: What Do The Data...
Human Resource Allocations in African Agricultural Research: What Do The Data...
 
Gil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der Waal
Gil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der WaalGil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der Waal
Gil 2012 Africa Mega Trends Africa Energy & Power by Cornelis van der Waal
 
Pavel Vavra
Pavel VavraPavel Vavra
Pavel Vavra
 
Is Warren 'Winning'?
Is Warren 'Winning'?Is Warren 'Winning'?
Is Warren 'Winning'?
 

Viewers also liked

Dairy sector dev in caadp april 2012
Dairy sector dev in caadp april 2012Dairy sector dev in caadp april 2012
Taiwan in images-1
Taiwan in images-1Taiwan in images-1
Taiwan in images-1
voiculescu gabriel
 
History of CCFP monitoring in FEDRC
History of CCFP monitoring in FEDRCHistory of CCFP monitoring in FEDRC
History of CCFP monitoring in FEDRC
CIFOR-ICRAF
 
Trading Asian Stocks
Trading Asian StocksTrading Asian Stocks
Trading Asian Stocks
InvestingTips
 
Government Spending and Rural Development: China Case
Government Spending and Rural Development: China CaseGovernment Spending and Rural Development: China Case
Government Spending and Rural Development: China Case
edunetwork
 
The Economics of China
The Economics of ChinaThe Economics of China
The Economics of China
Chirantan Chatterjee
 
Economic Profile for China
Economic Profile for ChinaEconomic Profile for China
Economic Profile for China
tutor2u
 
Economy of china
Economy of chinaEconomy of china
Economy of china
1vimal1
 
Barriers to Economic Growth and Development
Barriers to Economic Growth and DevelopmentBarriers to Economic Growth and Development
Barriers to Economic Growth and Development
tutor2u
 
Pak china economic corridor
Pak china economic corridorPak china economic corridor
Pak china economic corridor
Abdul Haseeb
 
China Presentation
China PresentationChina Presentation
China Presentation
Nithit Benny
 
China Economy Presentation
China Economy PresentationChina Economy Presentation
China Economy Presentation
sghardrock
 

Viewers also liked (12)

Dairy sector dev in caadp april 2012
Dairy sector dev in caadp april 2012Dairy sector dev in caadp april 2012
Dairy sector dev in caadp april 2012
 
Taiwan in images-1
Taiwan in images-1Taiwan in images-1
Taiwan in images-1
 
History of CCFP monitoring in FEDRC
History of CCFP monitoring in FEDRCHistory of CCFP monitoring in FEDRC
History of CCFP monitoring in FEDRC
 
Trading Asian Stocks
Trading Asian StocksTrading Asian Stocks
Trading Asian Stocks
 
Government Spending and Rural Development: China Case
Government Spending and Rural Development: China CaseGovernment Spending and Rural Development: China Case
Government Spending and Rural Development: China Case
 
The Economics of China
The Economics of ChinaThe Economics of China
The Economics of China
 
Economic Profile for China
Economic Profile for ChinaEconomic Profile for China
Economic Profile for China
 
Economy of china
Economy of chinaEconomy of china
Economy of china
 
Barriers to Economic Growth and Development
Barriers to Economic Growth and DevelopmentBarriers to Economic Growth and Development
Barriers to Economic Growth and Development
 
Pak china economic corridor
Pak china economic corridorPak china economic corridor
Pak china economic corridor
 
China Presentation
China PresentationChina Presentation
China Presentation
 
China Economy Presentation
China Economy PresentationChina Economy Presentation
China Economy Presentation
 

Similar to ReSAKSS Regional Analysis on Agricultural Expenditures and Agricultural Policy Bias: Africa Wide_2009

International Pensions & Population Growth
International Pensions & Population GrowthInternational Pensions & Population Growth
International Pensions & Population Growth
Open Knowledge
 
Fifty Years of Distortions in Worls Food Markets
Fifty Years of Distortions in Worls Food Markets Fifty Years of Distortions in Worls Food Markets
Fifty Years of Distortions in Worls Food Markets
International Food Policy Research Institute (IFPRI)
 
What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...
What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...
What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
Promoting food security through innovative rural finance and risk management ...
Promoting food security through innovative rural finance and risk management ...Promoting food security through innovative rural finance and risk management ...
Promoting food security through innovative rural finance and risk management ...
FAO
 
20 lilyan fulginiti
20   lilyan fulginiti20   lilyan fulginiti
20 lilyan fulginiti
jillbrown14
 
China’s Agricultural and Rural Development: Implications for Africa
China’s Agricultural and Rural Development: Implications for AfricaChina’s Agricultural and Rural Development: Implications for Africa
China’s Agricultural and Rural Development: Implications for Africa
Shenggen Fan
 
Interesting slides on social & macroeconomics
Interesting slides on social & macroeconomicsInteresting slides on social & macroeconomics
Interesting slides on social & macroeconomics
Bruno Gremez
 
2. badiane board may13 agriculture and structural transformation
2. badiane board may13 agriculture and structural transformation2. badiane board may13 agriculture and structural transformation
2. badiane board may13 agriculture and structural transformation
IFPRI Africa
 
1. COSOP 2013-2018
1. COSOP 2013-20181. COSOP 2013-2018
1. COSOP 2013-2018
ifadseahub
 
Globalization,Rural Sector Transformation, and Poverty
Globalization,Rural Sector Transformation, and PovertyGlobalization,Rural Sector Transformation, and Poverty
Globalization,Rural Sector Transformation, and Poverty
Joachim von Braun
 
Sudan and the future of African agriculture: Potential for nexus solutions
Sudan and the future of African agriculture: Potential for nexus solutionsSudan and the future of African agriculture: Potential for nexus solutions
Sudan and the future of African agriculture: Potential for nexus solutions
International Food Policy Research Institute (IFPRI)
 
Presentation on India at Canadian High Commission Event
Presentation on India at Canadian High Commission EventPresentation on India at Canadian High Commission Event
Presentation on India at Canadian High Commission Event
Dr. Amit Kapoor
 
Development strategies: middle income countries
Development strategies: middle income countriesDevelopment strategies: middle income countries
Development strategies: middle income countries
OECD Development Centre, Paris
 
Rashad's Analysis of China's Healthcare Economics
Rashad's Analysis of China's Healthcare EconomicsRashad's Analysis of China's Healthcare Economics
Rashad's Analysis of China's Healthcare Economics
Rashad Salaam
 
Agricultural Trade and the Transition to Sustainable Food Systems
Agricultural Trade and the Transition to Sustainable Food SystemsAgricultural Trade and the Transition to Sustainable Food Systems
Agricultural Trade and the Transition to Sustainable Food Systems
Francois Stepman
 
Why Cannot Africa Export Manufacures
Why Cannot Africa Export ManufacuresWhy Cannot Africa Export Manufacures
Why Cannot Africa Export Manufacures
IDDP UK
 
correlation between GDP and perciptation.ppt
correlation between GDP and perciptation.pptcorrelation between GDP and perciptation.ppt
correlation between GDP and perciptation.ppt
TarikuNeto
 
Financial and human capacities in agricultural R&D- GCARD 2010
Financial and human capacities in agricultural R&D-  GCARD 2010Financial and human capacities in agricultural R&D-  GCARD 2010
Financial and human capacities in agricultural R&D- GCARD 2010
Agricultural Science & Technology Indicators (ASTI)
 
Public agricultural investment and rural finance in Africa
Public agricultural investment and rural finance in AfricaPublic agricultural investment and rural finance in Africa
Public agricultural investment and rural finance in Africa
FARA - Forum for Agricultural Research in Africa
 
How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...
How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...
How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...
Finance Network marcus evans
 

Similar to ReSAKSS Regional Analysis on Agricultural Expenditures and Agricultural Policy Bias: Africa Wide_2009 (20)

International Pensions & Population Growth
International Pensions & Population GrowthInternational Pensions & Population Growth
International Pensions & Population Growth
 
Fifty Years of Distortions in Worls Food Markets
Fifty Years of Distortions in Worls Food Markets Fifty Years of Distortions in Worls Food Markets
Fifty Years of Distortions in Worls Food Markets
 
What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...
What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...
What investments are needed to reach the SADC-RISDP and CAADP goals in Southe...
 
Promoting food security through innovative rural finance and risk management ...
Promoting food security through innovative rural finance and risk management ...Promoting food security through innovative rural finance and risk management ...
Promoting food security through innovative rural finance and risk management ...
 
20 lilyan fulginiti
20   lilyan fulginiti20   lilyan fulginiti
20 lilyan fulginiti
 
China’s Agricultural and Rural Development: Implications for Africa
China’s Agricultural and Rural Development: Implications for AfricaChina’s Agricultural and Rural Development: Implications for Africa
China’s Agricultural and Rural Development: Implications for Africa
 
Interesting slides on social & macroeconomics
Interesting slides on social & macroeconomicsInteresting slides on social & macroeconomics
Interesting slides on social & macroeconomics
 
2. badiane board may13 agriculture and structural transformation
2. badiane board may13 agriculture and structural transformation2. badiane board may13 agriculture and structural transformation
2. badiane board may13 agriculture and structural transformation
 
1. COSOP 2013-2018
1. COSOP 2013-20181. COSOP 2013-2018
1. COSOP 2013-2018
 
Globalization,Rural Sector Transformation, and Poverty
Globalization,Rural Sector Transformation, and PovertyGlobalization,Rural Sector Transformation, and Poverty
Globalization,Rural Sector Transformation, and Poverty
 
Sudan and the future of African agriculture: Potential for nexus solutions
Sudan and the future of African agriculture: Potential for nexus solutionsSudan and the future of African agriculture: Potential for nexus solutions
Sudan and the future of African agriculture: Potential for nexus solutions
 
Presentation on India at Canadian High Commission Event
Presentation on India at Canadian High Commission EventPresentation on India at Canadian High Commission Event
Presentation on India at Canadian High Commission Event
 
Development strategies: middle income countries
Development strategies: middle income countriesDevelopment strategies: middle income countries
Development strategies: middle income countries
 
Rashad's Analysis of China's Healthcare Economics
Rashad's Analysis of China's Healthcare EconomicsRashad's Analysis of China's Healthcare Economics
Rashad's Analysis of China's Healthcare Economics
 
Agricultural Trade and the Transition to Sustainable Food Systems
Agricultural Trade and the Transition to Sustainable Food SystemsAgricultural Trade and the Transition to Sustainable Food Systems
Agricultural Trade and the Transition to Sustainable Food Systems
 
Why Cannot Africa Export Manufacures
Why Cannot Africa Export ManufacuresWhy Cannot Africa Export Manufacures
Why Cannot Africa Export Manufacures
 
correlation between GDP and perciptation.ppt
correlation between GDP and perciptation.pptcorrelation between GDP and perciptation.ppt
correlation between GDP and perciptation.ppt
 
Financial and human capacities in agricultural R&D- GCARD 2010
Financial and human capacities in agricultural R&D-  GCARD 2010Financial and human capacities in agricultural R&D-  GCARD 2010
Financial and human capacities in agricultural R&D- GCARD 2010
 
Public agricultural investment and rural finance in Africa
Public agricultural investment and rural finance in AfricaPublic agricultural investment and rural finance in Africa
Public agricultural investment and rural finance in Africa
 
How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...
How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...
How to Fix America’s Fiscal Crisis: Reform Lessons from Canada - Chris Edward...
 

More from African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)

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
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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 ...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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 ...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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 ...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
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...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 

More from 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...
 

Recently uploaded

"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
Fwdays
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
DanBrown980551
 
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users",  Kevin Goedecke"Scaling RAG Applications to serve millions of users",  Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
Fwdays
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
c5vrf27qcz
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Pitangent Analytics & Technology Solutions Pvt. Ltd
 
Christine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptxChristine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptx
christinelarrosa
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
Tatiana Kojar
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
DanBrown980551
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
AstuteBusiness
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Safe Software
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Neo4j
 
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillinQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
LizaNolte
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
Jason Yip
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
DianaGray10
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
Jason Packer
 

Recently uploaded (20)

"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
 
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users",  Kevin Goedecke"Scaling RAG Applications to serve millions of users",  Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
 
Christine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptxChristine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptx
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
 
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillinQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
 

ReSAKSS Regional Analysis on Agricultural Expenditures and Agricultural Policy Bias: Africa Wide_2009

  • 1. ReSAKSS Regional Analysis on Agricultural Expenditures and Agricultural Policy Bias: Africa Wide Babatunde Omilola and Melissa Lambert April, 2009
  • 2. 1. Overview of public expenditures across the world How does Africa’s public spending compare to public spending in other regions?
  • 3. Public expenditures across world regions, 2000 international dollars, billions 5000 2000 international dollars, billions 4500 4000 3500 3000 1980 1990 2000 2005 2500 2000 1500 1000 500 0 SSA (13 countries) N. Africa (3 countries) LAC (16 countries) Asia (11 countries) Total (43 countries) Spending in SSA and N. Africa Total spending increased by 6 increased by 3.7 percent from 1980- percent from 1980-2005, the 2005. In SSA alone, spending majority of which was from Asia increased by 4.9 percent Source: Calculated using data from International Monetary Fund’s (IMF) Government Financial Statistics Yearbook
  • 4. Public expenditures across world regions, Percentage of GDP (%) Public expenditures as a percentage of GDP is a more useful measure of the amount a country spends relative to the size of its economy 45 40 1980 1990 2000 2005 35 Percentage of GDP, % 30 25 20 15 10 5 0 SSA (13 countries) N. Africa (3 countries) LAC (16 countries) Asia (11 countries) Total (43 countries) Under this measure, Africa has spent the most, although in SSA this share has declined since 1980. Sources: Calculated using data from International Monetary Fund's Government Finance Statistics
  • 5. How have governments allocated their total spending? Since 1980, the share of spending on health, education and agriculture in SSA has increased slightly while spending on defense has declined. 100% 90% 80% Share of total spending, % 70% Other 60% Defense 50% Social Security 40% T&C Health 30% Education 20% Agriculture 10% 0% 1980 1990 2000 2005 1980 1990 2000 2005 1980 1990 2000 2005 SSA Asia LAC The share of spending on agriculture in SSA increased since 2000 but remains at the 1980 level and below 10%. Sources: Calculated using data from International Monetary Fund's Government Finance Statistics
  • 6. Agriculture expenditures across regions Agriculture expenditures by region, Agriculture expenditures by region as 2000 international dollars (billions) share of agriculture GDP Agriculture expenditure share of agriculture 16 250 2000 international dollars, billions 14 200 12 10 GDP, % 150 8 100 6 4 50 2 0 0 1980 1990 2000 2005 1980 1990 2000 2005 North Africa SSA LAC ASIA TOTAL North Africa SSA LAC ASIA The level of agricultural spending is Yet as a share of agriculture GDP, much higher in Asia than in N. Africa, expenditures on agriculture are highest SSA and LAC in N. Africa – but still lowest in SSA. Sources: Calculated using data from International Monetary Fund's Government Finance Statistics
  • 7. Drawing conclusions from the figures • Although SSA has increased total spending and agricultural spending, the levels are much lower than other regions of the world • Therefore, SSA, as a region, will need to increase its level of public spending on agriculture in order to experience successful transformation that Asian countries did through the green revolution
  • 8. 2. Agriculture spending in Africa Country Progress towards the Maputo Declaration target
  • 9. Progress towards the Maputo Declaration target • The African continent as a whole has not met the 10% target (current spending at 6-8 percent) • But, this varies by country Only 8 countries have Agricultural Expenditures as a share of total (%), 2007 met the 10% 25 target 20 CURRENT, 2007 (Unless otherwise noted) 15 % 10 5 0 Central African… Madagascar** Ghana**** Guinea Bissau*** Morocco** Gabon*** Mali Nigeria DRC** Egypt** Swaziland** Benin**** Burundi*** Tunisia** Chad*** Kenya**** Uganda**** Tanzania** Malawi Sudan*** Zambia* Gambia*** Senegal Niger* Cote d'Ivoire Lesotho** Togo Mauritius** Namibia** Ethiopia** Rwanda Botswana Mauritania*** Mozambique** Guinea*** Cameroon** Zimbabwe** Burkina Faso* *=2006; **=2005; ***=2004; ****=2008 estimates Sources: Various, compiled by ReSAKSS.
  • 10. Have countries increased their spending in response to the 2003 Maputo Declaration? • At the continental level, Level of agricultural spending as a share of total spending, 2002-2005 agricultural spending nearly doubled between 70.0% 2000 and 2005 60.0% % of reporting countries • In 2003, only 3.2% of countries allocated 10% 50.0% or more of their budgets 40.0% to agriculture – This increased to 33.3% 30.0% in 2006 before slightly falling to 25% in 2007 20.0% • 9 countries increased 10.0% their allocations from 0.0% less than 5% spending to 5-10% spending 2002 2003 2004 2005 2006 2007 Less than 5% 5%-10% More than 10% Sources: Various, compiled by ReSAKSS.
  • 11. Agriculture expenditures as a share of agricultural GDP • Measures government spending on agriculture relative to the size of that country's agriculture sector • Under this measure, more countries fall into the category of low budget support to agriculture Agricultural expenditures as a share of agricultural GDP, 2007 80 60 The range is CURRENT, 2007 (Unless otherwise noted) considerable % 40 (1 to 60%) 20 0 *=2006; **=2005; ***=2008 estimates On aggregate , Africa spends between 5-7% Sources: Various, compiled by ReSAKSS. of agricultural GDP on agriculture, compared to 15% in Asia during its Green Revolution
  • 12. 3. Development Assistance to Agriculture in Africa
  • 13. Development Assistance for African agriculture Since 1995, official development assistance (ODA) to agriculture in Africa has fallen and has been less than ODA to emergency relief and food aid Sources: OECD statistical portal, accessed November, 2008.
  • 14. Agricultural aid to Africa, by country 10 All countries spent Agricultural aid as a share of total aid, % 9 less than 10% of aid 8 budgets on 7 agriculture 6 5 4 3 2 1 0 2002 2003 2004 2005 2006 • Agriculture has not been prominent on the donor agenda, perhaps not because of any conscious decisions but due to pressure to broaden the aid agenda • It is crucial for development agencies to also commit to the 10% budgetary allocation to agriculture Source: OECD statistical portal, accessed November, 2008.
  • 15. 4. Reaching the first Millennium Development Goal in Africa Is it possible at the continental-level and country-level?
  • 16. MDG1 in Africa • African agriculture will need to grow at a rapid rate of 7.5 percent annually in order for the continent to meet the MDG1 • At the country level: – Mali, Nigeria, Burkina Faso, Tanzania, Mauritania, Ethiopia, Cameroon, Uganda, Mozambique, and Ghana, require a growth rate of 6 percent or less • To achieve the desired growth rates, overall, African countries will need to boost their agricultural spending to $33 to $39 billion annually (in 2000 international dollars) from 2005-2015 – This translates into an increase of agricultural spending by 20 to 24 percent annually • At the country level: – Ethiopia, Ghana, Mozambique, and Uganda can potentially reach MDG1 by increasing agricultural expenditures by up to 10 percent annually – The majority of countries, however, will need to scale up spending by 20 to 30 percent per year Source: Fan, et al. 2008. ReSAKSS Working Paper No. 25
  • 17. 5. Agricultural Bias in Africa Policy bias against agriculture – what remains?
  • 18. Policy bias against agriculture in Africa • Distortionary policies have been reduced in Africa over time, yet substantial distortions remain and still impose a large tax burden on Africa’s poor • Distortionary polices worsened following independence, but after the 1970s, various reforms successfully reduced them and now average rates of agricultural taxation are at their pre-1960 levels • African farmers have become less taxed in part because of the changing trade orientation of African agriculture Source: Anderson and Masters, 2009.
  • 19. Nominal Rate of Assistance • NRA = the percentage by which government policies have raised gross returns to farmers above what they would have been without the government’s intervention • If NRA is positive, then farmer support is high • If NRA is negative, farmers are being taxed Source: Anderson and Masters, 2009.
  • 20. Nominal Rate of Assistance • In Africa, NRA were less than 10% in early 1960s, rose sharply in 1960-70, and has since fallen to below the early 1960s level • At the country level, from 1960 to present: – There were major reductions in farmer taxation in Ghana, Uganda, Tanzania, Cameroon, Senegal and Madagascar from reforms that occurred between 1975-79 and 2000-04 – There was a shift from taxation of farmers to support of farmers in Mozambique and Kenya – There was a shift from slight support of farmers to slight taxation in Nigeria – Continued heavy taxation of farmers in Cote d’Ivoire, Zambia and Zimbabwe – NRAs favored sugar, rice and milk the most and taxed coffee, cotton, tobacco and cocoa the most – NRAs favored import-competing products while taxing exportables • In other words, NRAs were in favor of self-sufficiency Source: Anderson and Masters, 2009.
  • 21. Consumer tax equivalents • CTE = the percentage by which policies have raised prices paid by consumers of agricultural outputs • If CTE is positive, consumers are essentially paying a tax on agricultural goods • If CTE is negative, consumers are essentially receiving a subsidy for agricultural goods Source: Anderson and Masters, 2009.
  • 22. Consumer tax equivalents • In Africa, CTE reached -10% immediately following independence, fell to -17% by the early 1970s, and then gradually progressed to zero today • Historically, (in dollar terms), – subsidies to consumers were the largest in Ethiopia and Sudan – tax on consumers has been the largest in Nigeria and South Africa Source: Anderson and Masters, 2009.