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Climate variability and agricultural production in Argentina: the role of risk-transfer mechanisms

  • Marcos Gallacher
  • Daniel Lema
  • Alejandro Galetto
  • Laura Gastaldi

Research related to climate variability is particularly important in the current conditions faced by Argentine agriculture. These include (a) increased specialization in soybeans, with resulting reduced possibilities of risk-reduction though “portfolio” effects, (b) increased importance of agriculture in “non-traditional” areas, generally characterized by lower yields, higher yield variability and higher production and transport costs, (c) macroeconomic instability resulting in severe contraction and increased interest rates of credit and (d) upward trend in input use and per-acre production costs with consequent increase in break-even crop yields. This paper summarize recent research related to production variability in Argentine agriculture, as well as the consequences of this variability on efficiency and resource allocation and present an overview of strategies for coping with climate variability. We estimate possible benefits to agricultural producers of improved risk-transfer mechanisms. In particular, we obtain estimates of Willingness-to-Pay (WTP) of selected index-type insurance mechanisms for soybean and milk production and outline the requirements for the development of a risk-transfer market for agricultural producers.

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Paper provided by Universidad del CEMA in its series CEMA Working Papers: Serie Documentos de Trabajo. with number 583.

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Length: 97 pages
Date of creation: Dec 2015
Date of revision:
Handle: RePEc:cem:doctra:583
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  1. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-46, September.
  2. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
  3. Xiaohui Deng & Barry J. Barnett & Dmitry V. Vedenov & Joe W. West, 2007. "Hedging dairy production losses using weather-based index insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 271-280, 03.
  4. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(03), December.
  5. Kealy, Mary Jo & Montgomery, Mark & Dovidio, John F., 1990. "Reliability and predictive validity of contingent values: Does the nature of the good matter?," Journal of Environmental Economics and Management, Elsevier, vol. 19(3), pages 244-263, November.
  6. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
  7. Monte L. Vandeveer & Edna T. Loehman, 1994. "Farmer Response to Modified Crop Insurance: A Case Study of Corn in Indiana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 128-140.
  8. Shaik, Saleem & Coble, Keith H. & Hudson, Darren & Miller, James C. & Hanson, Terrill R. & Sempier, Stephen H., 2008. "Willingness to Pay for a Potential Insurance Policy: Case Study of Trout Aquaculture," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 37(1), April.
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