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Policy and Impact Assessment Africa Rice Center (AfricaRice)

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Presentation on theme: "Policy and Impact Assessment Africa Rice Center (AfricaRice)"— Presentation transcript:

1 Policy and Impact Assessment Africa Rice Center (AfricaRice)
Rice policy and impact research at AfricaRice Aliou Diagne Program Leader, Policy and Impact Assessment Africa Rice Center (AfricaRice) AfricaRice Side Event at CORAF/WECARD Meeting Saving Rice Harvests and Moving towards Better Livelihoods 24 May 2010, 15h00-18h00, Marina Hotel, Cotonou

2 Outline Background: the rice policy environment
Project 4: Goal, Purpose & Output Tools for Rice Policy Analysis and Impact Assessment: Progress to date The Emergency Rice Data System Project The way forward

3 Program 4 Staffing 4 Scientists: 6 Research Assistants
1 Policy economist (Cotonou) 1 Impact assessment Economist (Cotonou) 1 Agricultural Economist (Saint Louis) 1 Agricultural Economist (Dar Es Salam) 6 Research Assistants 3 Research Technicians 2 Consultants (coordinators of the Emergency rice data) 1 Statistician (Cotonou) 1 Statistician Programmer (Dar Es Salam)

4 Importance of Rice in SSA
Employs more than 35 million farmers Sustains the livelihood for 100 million people Producers Traders Processors

5 Rice is the most rapidly growing food source in Sub-Sahara Africa
Composition of food consumption in Sub-Saharan Africa (share of total calorie intake per day)

6 Rice is the most rapidly growing food source in Sub-Sahara Africa
Composition of food consumption in West Africa (share of total calories intake per day) Source: based on FAOSTAT

7 Growing Rice Consumption in SSA
Causes: Population growth and urbanization Consumer preference and diet changes Increased consumption of food away from home Increased participation of women in labor force Convenience and ease of storage and cooking Sources: IMF and FAO-STAT

8 The growing GAP between SSA rice Consumption & Production
Production not keeping pace with consumption Widening domestic deficit met by importation Accounts for more than 30% of world rice imports Import bill of more than US$ 5 billion in 2008 West and Central Africa rice trends Source: FAO-STAT

9 Projection of milled rice consumption in Africa
17 M t Source: FAO, ECOWAS and AfricaRice projections for 2008 – 2020 using the growth rate (4.28%)

10 Projection of milled rice production in Africa
7.5 MT Source : FAO and AfricaRice projections for 2008 – 2020 using the growth rate (3.2%)

11 Significant changes in rice policy perceptible since the 2008 food crisis
Proactive measures to boost local production in many member States: Example: Pubic investments in Malian rice sector reached 85 million USD in and 106 million USD in 2009 Emergency measures paid dividends Paddy production in Africa increased by 18% in 2008 CILSS member states recorded a record production in with a 44% increase compared to 2007

12 Potential for domestic rice production in Africa

13 Potential for Production Expansion
Agro-Ecology Actual harvested Areas (Ha) Potential cultivable Areas (Ha) Rainfed Upland 1.8 million - Rainfed Lowland 630,000 19 million Irrigated lowland Humid/semi humid areas 160,000 Irrigated lowland Sahel 200,000 3 million Mangrove Swamp 190,000 1 million Deep Water Floating 187,000 Source WARDA Source: Various

14 African rice is competitive against imports
NPC DRC Benin 0.78 0.83 Guinea 1.04 0.84 Mali 0.95 Nigeria 1.62 0.73 Senegal 1.07 0.47 Estimated Domestic Resource cost (DRC) < 1 indicates that in many countries it is cheaper to produce rice locally than to import. Estimated Nominal Protection Coefficient (NPC) indicates local production is weakly protected except in Nigeria Domestic production systems possess comparative advantage and their development could: Save foreign exchange Contribute to economic growth WARDA, NARS, 2007, 2008

15 Rice yield by ecology comparable to other major rice producing regions
Land productivity not significantly different from than other regions Rice yield in rainfall ecologies (upland and lowland) comparable to Asia as well In Senegal yield increased from 2.5MT/ha to 5.8 MT Source: WARDA surveys 2005, Hossain (2002)

16 Local rice cheaper than import in many countries:

17 Competitivity of local rice enhanced by upward trend in international prices
Upward trend in prices Global rice prices are projected to increase by 2.5 to 3% every year until 2017 (USDA, 2008) High volatility The variability (CV) of Thai100 up from 15% in 1990s to more than 50% in Impressive surge in prices in 2008 followed by a fall just as spectacular Source: OSIRIZ/InfoArroz,CIRAD

18 Rice Production in Africa: Summary of constraints
Low aggregate yield -owing to large share of upland rice farming system and to subsistence farming Inadequate use of critical inputs Insufficient development of irrigation facilities Lack of double-cropping Limited size of the cultivated area Widespread use of hand-held tools OECD AGRICULTURAL POLICIES 2004: AT A GLANCE

19 Rice Production in Africa: Marketing and policy/institutional constraints
Post-harvest technologies and practices Poor quality of the marketed product Insufficient public investment in rural infrastructures Absence of the private sector in seed production Limited access to credit Policy environment not conducive for private sector investment –But this is changing

20 Project 4 MTP

21 Project goal and purpose
To reduce poverty and food insecurity in SSA through sustainable development of the rice economies Purpose: To generate options for policy and institutional changes for an efficient and pro-poor rice production and marketing system

22 Project 4 outputs Output 1: Tools, methods and enhanced capacity for impact assessment, policy analysis and priority setting Output 2: Rice policy options and institutions for competitive domestic rice production Output 3: Improved post-harvest systems for competitive domestic rice production Ex-post Impact Assessment

23 Implementation Implemented through and by NARS with Funding and backstopping by AfricaRice: Impact studies: 16 NARS currently involved Post-harvest: 3 NARS currently involved Rice Statistics 21 NARS currently involved Use of common methodologies Sharing of questionnaires and survey designs Sharing of analysis tools Training Methodology-learning workshops One-one training on the job

24 Methodologies Econometric modeling Experimental economics
Psychological methods Policy Analysis Matrix (PAM) Multi-market models CGE models Household surveys Aggregate time series data (e.g. FAOSTAT)

25 …Ex-Post Impact Assessment Methodology
Counterfactual outcomes framework: Comparing outcomes with and without intervention/treatment Average Treatment Effect (ATE) methodology Estimation of actual and potential impacts Aggregation to national and regional level impacts using population census weights

26 2008 Research highlights

27 Enhanced NARES capacity in policy analysis and impact assessment
155 NARS Economists and University Students trained in ex-post impact assessment since 2002 20 NARS trained in the Policy Analysis Matrix (PAM) tool since 2005 19 NARS visiting scientists hosted since 2006 (13 in 2009 alone) Development of Stata modules for ATE adoption and ex-post impact assessment being used by NARS collaborators , SSA-CP post docs and Ph.D & Msc students at Ibadan, Pretoria , London & Gottingen universities Development of the Emergency Rice Initiative Spreadsheet (ERIS) during the 2008 food crisis to assist member states boost local rice production

28 Software tools for impact assessment: the Stata impact module

29 Linkage of international prices to Africa prices
Price changes in Thailand are transmitted faster to Senegal than to Mali Contemporaneous price changes (short-run effect) between Thailand and Senegal or Mali is not statistically significant 19% of the price difference between Senegal and Thailand is eliminated each month Nearly a year is required for full adjustment to price change in Thailand Adjustment Coefficient Short-run effect 3 month adjustment 6-month adjustment 12- month adjustment Thailand-Senegal 0.193** (0.034) 0.067 (0.099) 51% 74% 93% Thailand-Mali 0.119** 0.279 (0.097) 49% 68% 87% Senegal-Mali 0.112** (0.036) 0.379** (0.042) 57% 70% 85% Bamba et. al. (2008)

30 Further evidences of SSA comparative advantage in rice
Rice maize stratification project results provide ample evidence that rice production systems in Benin, Guinea, Nigeria and Senegal are competitive with Asian imports Ncho et al. (2008) Irrigated rice production in Togo enjoys substantial comparative advantage vis-a-vis imports Koffi-Tessio et. al. (2008) import demand for rice in West Africa is relatively unresponsive to changes in price Sellar (2009)

31 Irrigated rice farmers’ technical efficiency in the Senegal River Valley
Improved technologies like enhanced short/medium duration Sahel cultivars and the use of the ASI thresher have a positive impact on technical efficiency as well the compliance with input recommendations The modest technical efficiency scores observed implies that more research and extension efforts are warranted to increase technical efficiency Diagne et al. (2008)

32 2009 Research Days, 2-5 November, Cotonou
Experimental end-market analysis to strengthen value chains of Senegal River Valley rice (Demont et al., 2009) Elicit WTP to upgrade local low-quality rice (red dish) into 3 alternatives: Imported Thai-25 rice Unlabeled local quality rice Labelled local quality rice (Rival, PINORD) 2009 Research Days, 2-5 November, Cotonou

33 2009 Research Days, 2-5 November, Cotonou
Consumers pay premium of 43 F/kg for local quality rice relative to imported rice They further add 29 F/kg for Rival label WTP to upgrade local low-quality rice into alternative rice drops after sensory test due to good taste of local mixed-grain rice 2009 Research Days, 2-5 November, Cotonou

34 Nerica Diffusion and Adoption
Population Adoption parameters Cote d’lvoire (2000) Guinea (2001) Benin (2004) Gambia (2006) Exposure rate 9% 39% 26% 57% Actual adopion rate (adoption & exposure) 4% 23% 18% 40% Potential adoption rate (ATE) 27% 58% 50% 84% Adoption rate among exposed (ATE1) 38% 59% 68% 86% Adoption rate among non-exposed (ATE0) 25% 53% 82% Adoption Gap 35% 32% 44%

35 Factors Affecting NERICA Adoption
Access to extension/training have significant effects on NERICA adoption A large number of farmers adopt the NERICA because of its non-yield varietal attributes: short growth cycle plant height consumption and grain qualities Possible gender bias in the dissemination of NERICA varieties in Guinea.

36 Main conclusions on NERICA and ASI adoption and impact
A low diffusion rate and lack of seed have so far limited the adoption of the NERICA NERICA adoption impact on rice yields is heterogeneous with some farmers not experiencing any yield increase when adopting NERICA Positive impact on income, child schooling, health, food consumption and poverty Nerica impact significantly higher for women than for men (Benin, Cote d’Ivoire, Gambia and Guinea) The ASI thresher reduces labour needed for threshing so it can contribute to attain the objective of double cropping in the SRV.

37 Future Research Direction

38 Future research direction: Policy Research and Advocacy
A platform for Rice Policy Research in Africa built on the Rice data systems project collaborative framework Partial equilibrium model of SSA rice sectors to: Assess the medium- and long-term effects of changes in global rice markets and their policy implications for sub-Saharan Africa food security Simulate the effects of alternative policy and investment options for Africa’s rice production in the medium to long terms 38

39 Future research direction: Policy Research and Advocacy
Research to develop rice value chains in Africa: Analysis of the market failures in the African rice seed sectors Strategies and policy and institutional options to stimulate the emergence of a competitive processing sector for better quality rice Strategies and policy and institutional options to stimulate the development of demand-driven rice value chains in SSA. 39

40 Future research direction: Ex-post Impact Assessment
Widening of the impact assessment indicators, methods and tools used: Assessment of impact on more poverty and environmental indicators Use of randomized control trials (RCT) Estimation of direct and indirect impacts Use of ICT tools for data collection and information dissemination (PDA and web-based tools). 40

41 Thank you! Merci! Center of Excellence for Rice Research

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