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Food Systems in sub-Saharan Africa: Variability, Vulnerability and Adaptation Ruerd Ruben Associate Professor WUR.

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Presentation on theme: "Food Systems in sub-Saharan Africa: Variability, Vulnerability and Adaptation Ruerd Ruben Associate Professor WUR."— Presentation transcript:

1 Food Systems in sub-Saharan Africa: Variability, Vulnerability and Adaptation
Ruerd Ruben Associate Professor WUR

2 Food Systems in sub-Saharan Africa
Central Issues  LFAs: Heterogeneity and Vulnerability  GEC-ICCD: Risk and Adaptation  Linking production, expenditures & labour use  Bio-economic farm household modelling  Food chains and networks approach

3 Food Systems in sub-Saharan Africa
Extensive Growth 120,0 25 100,0 20 80,0 15 kilogrammes =100 60,0 10 40,0 5 20,0 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 0,0 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 Decreasing Fertilizer Use Increasing Cropping Area Source: Ruben & Kuyvenhoven (2003)

4 Food Systems in sub-Saharan Africa
SSA Agricultural Development Small increase food production Decreasing food supply Rising input costs Lower food prices Source: Ruben & Kuyvenhoven (2003)

5 Food Systems in sub-Saharan Africa
Topics and Approaches Production options --> Crop simulation models Income composition > Portfolio analysis Risk coping strategies --> Livelihood analysis Rural incentives > Bio-economic models Bio-efficiency --> Chain analysis

6 Food Systems in sub-Saharan Africa
Poverty in LFAs - Chronic Poverty + Resource Degradation - High transaction costs + Low factor productivity Source: Hazell & Ruben (2003)

7 Food Systems in sub-Saharan Africa
Economic potential of LFAs Despite lower level, higher potential ! Source: Ruben & Pender (2004))

8 Food Systems in sub-Saharan Africa
Weather and Climate  Irregular precipitation  Concentrated showers Source: Hengsdijk (2003)

9 Food Systems in sub-Saharan Africa
Critical Importance of sowing date Crop type Early sowing (quintal/ha) Late sowing (quintal/ha) Wheat + Barley 12 6 Wheat 10 4 Barley 14 7 Teff 3 Finger Millet 13 Sorghum 18 Source: Hengsdijk (2003)

10 Food Systems in sub-Saharan Africa
yield N-uptake N application plateau N uptake efficiency Sustainable Intensification  Complementarities Labour & External Inputs  Improving input efficiency  Better yields + labour productivity  1 2 2 1 3 4 labour 4 The first and fourth quadrant remain the same but the third quadrant now represents the labour use efficiency of nutrient application. Combined with the nutrient uptake efficiencies and the yield response curves this gives us the relationship between labour input and yield. 3

11 Food Systems in sub-Saharan Africa
Bio-economic Farm Household modeling Source: Kruseman, Ruben & Kuyvenhoven (2003)

12 Food Systems in sub-Saharan Africa
Consumption behaviour Data derived from expenditure surveys (PRSP) Based on utility maximization: Uc = f (Umax * (1-e) -Y Engel curves for income-consumption relationship Negative exponential utility function (declining U/Y) Estimated for all income and consumption categories

13 Food Systems in sub-Saharan Africa
FHH Models: Supply Response to Policy Incentives (Mali) --> Selection of feasible technologies and appropriate instruments --> Win-win scenarios Source: Ruben et al (in Lee & Barratt, 2001)

14 Food Systems in sub-Saharan Africa
Adaptive behaviour Responses to decreasing rainfall: less cotton, more arachide more millet Source: Dietz, Ruben & Verhagen (2004)

15 Food Systems in sub-Saharan Africa
Options for dealing with livelihood stress Food acquisition Direct/Indirect Food Intensification Market exchange Income/Activity Diversification Off-farm employment Social arrangements Reducing food intake

16 Food Systems in sub-Saharan Africa
Strategies for dealing with micronutrient deficiencies (searching for bio-efficacy) Dietary diversification Supplementation Post-harvest processing Fortification Biofortification (through breeding) MN supply Uptake efficiency MN demand Source: Slingerland et al., (2003)

17 Food Systems in sub-Saharan Africa
Further Perspectives  Sustainable intensification  Uptake efficiency (plants & humans)  Chain & network integration  Multi-agency analysis  Impact of Policy instruments


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