Global Agricultural Productivity Initiative at Virginia Tech
The previous 10 years have witnessed unprecedented demand for agricultural commodities, driven by income increases and population growth in China and India, as well as demand for biofuels stimulated by high energy prices.
Over the next decade, the OECD and the United Nations Food and Agriculture Organization (FAO) project that the rate of demand growth for all agricultural commodities will slow compared with the last decade. The rate of demand growth for cereal grains, meat, fish and vegetable oil will be cut nearly in half, the notable exception being increasing demand for fresh dairy.
The projected slowdown in demand for food and agriculture products over the next decade has prompted calls for a reduction in the agricultural output targets for 2050.1
Yet a large and growing body of sophisticated modeling by agricultural economists examining long-term scenarios for agriculture, food and the environment indicates that it may be too soon to consider revising these goals downward.2
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is an international collaborative effort to improve agricultural economic models. AgMIP coordinates regional and global assessments of climate impacts and uses multiple scenarios for crop and livestock production across differing geographies to explore the effects of uncertainty, data selection and methodology on the models’ results.
AgMIP’s analysis of 10 leading global multi-sectoral projection models found that world agricultural production of crops and livestock between 2005 and 2050 will need to rise by between 60 and 111 percent, with demand growth particularly strong for ruminant products (cows, sheep) as well as for commodities used in the production of biofuels – sugar, coarse grains and oilseeds.3 (The OECD/FAO prediction of a decrease in the rate of demand growth for food and agriculture products extends only to 2026, not to 2050.)
Most importantly, AgMIP points to the impact climate change will have on the ability of agriculture to meet future demand. The 10 models suggest that climate change will generate higher prices for agricultural commodities in general and particularly for crops. The impact of climate change must be considered to avoid a downward bias in projected supply estimates.