Two possible adaptation options to climate change for Sub-Saharan Africa are analyzed under the SRES B2 scenario. The first scenario doubles irrigated areas in Sub-Saharan Africa by 2050, compared to the baseline, but keeps total crop area constant. The second scenario increases both rainfed and irrigated crop yields by 25 percent for all Sub-Saharan African countries. The two adaptation scenarios are analyzed with IMPACT, a partial equilibrium agricultural sector model combined with a water simulation model, and with GTAP-W, a general equilibrium model including water resources. The methodology combines advantages of a partial equilibrium approach, considering detailed wateragriculture linkages with a general equilibrium approach, which takes into account linkages between agriculture and non-agricultural sectors and includes a full treatment of factor markets. The efficacy of the two scenarios as adaptation measures to cope with climate change is discussed. Due to the low initial irrigated areas inthe region, an increase in agricultural productivity achieves better outcomes than an expansion of irrigated areas. Even though Sub-Saharan Africa is not a key contributor to global food production or irrigated food production, both scenarios help lower world food prices, stimulating national and international food markets.
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Paper provided by Research unit Sustainability and Global Change, Hamburg University in its series Working Papers with number
FNU-170.
Find related papers by JEL classification: D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models N57 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Africa; Oceania Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters
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