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The persistence of drought impacts across growing seasons: a dynamic stochastic analysis

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  • Peck, Dannele E.
  • Adams, Richard M.

Abstract

Agricultural producers throughout much of the United States experienced one of the most severe droughts in the last 100 years during the years 1999-2006. The prolonged nature of this drought highlights a need to better understand the impacts and management of drought across growing seasons, rather than just within a growing season. Producers express specific concern about the tendency of drought impacts to persist even after drought itself has subsided. The persistence of drought impacts has received limited attention in the economics literature. The objectives of this study are two-fold: 1) to determine whether inter-year dynamics, in the form of agronomic constraints and financial flows, can cause persistence of a drought's impact in years subsequent to the drought, and 2) to determine whether the impact of one year of drought can alter the impact of a subsequent year of drought. A multi-year, dynamic and stochastic decision model is developed in a discrete stochastic programming framework and solved to address the objectives. The structure and parameters of the farm-level model are based on irrigated row crop farms in eastern Oregon, USA. Analysis of the model's solution reveals the following results: 1) the impact of a drought can persist long after the drought subsides, and 2) the impact of one year of drought can alter the impact of a subsequent year of drought. Potential implications for the administration of drought-related assistance are discussed briefly.

Suggested Citation

  • Peck, Dannele E. & Adams, Richard M., 2007. "The persistence of drought impacts across growing seasons: a dynamic stochastic analysis," 101st Seminar, July 5-6, 2007, Berlin Germany 9253, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa101:9253
    DOI: 10.22004/ag.econ.9253
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    References listed on IDEAS

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    1. Toft, H.I. & O'Hanlon, P.W., 1979. "A Dynamic Programming Model for On-Farm Decision Making in a Drought," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 47(01), pages 1-12, April.
    2. Allan N. Rae, 1971. "An Empirical Application and Evaluation of Discrete Stochastic Programming in Farm Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(4), pages 625-638.
    3. Allen C. Miller, III & Thomas R. Rice, 1983. "Discrete Approximations of Probability Distributions," Management Science, INFORMS, vol. 29(3), pages 352-362, March.
    4. Allen M. Featherstone & Gregory A. Ibendahl & J. Randy Winter & Aslihan Spaulding, 2005. "Farm financial structure," Agricultural Finance Review, Emerald Group Publishing, vol. 65(2), pages 97-117, July.
    5. Iglesias, Eva & Garrido, Alberto & Gomez-Ramos, Almudena, 2003. "Evaluation of drought management in irrigated areas," Agricultural Economics, Blackwell, vol. 29(2), pages 211-229, October.
    6. Haouari, Mohamed & Azaiez, Mohamed N., 2001. "Optimal cropping patterns under water deficits," European Journal of Operational Research, Elsevier, vol. 130(1), pages 133-146, April.
    7. K. D. Cocks, 1968. "Discrete Stochastic Programming," Management Science, INFORMS, vol. 15(1), pages 72-79, September.
    8. W. P. Weisensel & G. C. Van Kooten & R. A. Schoney, 1991. "Relative riskiness of fixed vs. flexible crop rotations in the dryland cropping region of Western Canada," Agribusiness, John Wiley & Sons, Ltd., vol. 7(6), pages 551-562.
    9. Thompson, David & Powell, Roy, 1998. "Exceptional circumstances provisions in Australia--is there too much emphasis on drought?," Agricultural Systems, Elsevier, vol. 57(3), pages 469-488, July.
    10. Hallam, Arne & Eidman, V. E. & Morehart, M. & Klonsky, K., 1998. "Commodity Costs and Returns Estimation Handbook: A Report of the Aaea Task Force on Commodity Costs and Returns," Staff General Research Papers Archive 1315, Iowa State University, Department of Economics.
    11. Paul V. Preckel & Eric DeVuyst, 1992. "Efficient Handling of Probability Information for Decision Analysis under Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 655-662.
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