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World Agriculture and Climate Change: Economic Adaptations

Author

Listed:
  • Darwin, Roy
  • Tsigas, Marinos E.
  • Lewandrowski, Jan
  • Raneses, Anton

Abstract

Recent studies suggest that possible global increases in temperature and changes in precipitation patterns during the next century will affect world agriculture. Because of the ability of farmers to adapt , however, these changes are not likely to imperil world food production. Nevertheless, world production of all goods and services may decline, if climate change is severe enough or if cropland expansion is hindered. Impacts are not equally distributed around the world.

Suggested Citation

  • Darwin, Roy & Tsigas, Marinos E. & Lewandrowski, Jan & Raneses, Anton, 1995. "World Agriculture and Climate Change: Economic Adaptations," Agricultural Economics Reports 33933, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerser:33933
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    File URL: http://purl.umn.edu/33933
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    References listed on IDEAS

    as
    1. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    2. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    3. Variyam, Jayachandran N. & Blaylock, James R. & Smallwood, David M. & Basiotis, P. Peter, 1998. "USDA's Healthy Eating Index and Nutrition Information," Technical Bulletins 33588, United States Department of Agriculture, Economic Research Service.
    4. Lin, Biing-Hwan & Frazao, Elizabeth & Guthrie, Joanne F., 1999. "Away-From-Home Foods Increasingly Important to Quality of American Diet," Agricultural Information Bulletins 33733, United States Department of Agriculture, Economic Research Service.
    5. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
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