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COMPETITIVE ECONOMIC POTENTIALS of NON-FOOD OPTIONS International Food Security Impacts of European Non-Food Options. Chris Llull a , Uwe A. Schneider a,b , Petr Havlik b , Michael Obersteiner b , Ingo Huck a , Bruno Dorin c , Timm Sauer a Erwin Schmid d
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COMPETITIVE ECONOMIC POTENTIALS of NON-FOOD OPTIONSInternational Food Security Impacts of European Non-Food Options Chris Llull a, Uwe A. Schneider a,b, Petr Havlik b, Michael Obersteiner b, Ingo Huck a, Bruno Dorin c, Timm Sauer a Erwin Schmid d a Research Unit Sustainability and Global Change, Hamburg University, Germany b International Institute for Applied Systems Analysis, Laxenburg, Austria c French Agricultural Research Centre for International Development (CIRAD), France d University of Natural Resources and Applied Life Sciences, Vienna, Austria
Increasing concerns about the sustainability of bioenergy. Impact of bioenergy on the food system. In a context of population, economic growth and resource scarcity. Introduction
p S CS p* PS D q q* Exogenous Parameters POPULATION GROWTH ECONOMIC GROWTH WATER SUPPLY FOOD DEMAND LAND SUPPLY BIOENERGY TECHNICAL PROGRESS CO2 TAX DEFORESTATION
Food Price Food Trade Food Consumption Food Composition Food Security Main Output
Population growth: IIASA GGI A2r baseline 10 levels up to 100% of 2030 Economic growth: IIASA GGI A2r baseline 10 levels up to 100% of 2030 Bioenergy: IIASA GGI A2r baseline 10 levels up to 10% of total energy demand by 2030 Technical progress: 20% increase in productivity Environmental policies: Carbon taxes 100 $ / ton Deforestation: allowed or not allowed Scenarios
GLOBAL LEVEL FOOD PRICE
GLOBAL LEVEL FOOD CONSUMPTION
yield bioenergy tax Tax & yield
bioenergy yield
GLOBAL LEVEL FOOD COMPOSITION
yield Tax & yield bioenergy tax
Tax & yield yield bioenergy tax
REGIONAL LEVEL FOOD TRADE
REGIONAL LEVEL FOOD CONSUMPTION
REGIONAL LEVEL FOOD COMPOSITION
SUB-SAHARAN AFRICA FOOD SECURITY
Tax & yield tax yield bioenergy
yield bioenergy
All regions are affected Food consumption and food composition are affected Non linear effects Bioenergy emphasizes the degradation of the nutritional situation in Sub-Saharan Africa Technical progress overcomes the negative impact on both food consumption and food composition only if deforestation is allowed. Overview of the Results
A competitive market is assumed. Institutional or infrastructure related developments are ignored overestimation No endogenous revenue from the agricultural sector due to increasing food prices and production of bioenergy underestimation Major Limitations
Conclusion NON-FOOD USE DEFORESTATION FOOD SECURITY • The model can deliver possible combination of the different outputs (production frontiers) • Determining the optimal development pathway requires to define priorities based on social value of the competing outputs