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Agricultural disaster payments in the southeastern US: do weather and climate variability matter?

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  • Denis Nadolnyak
  • Valentina Hartarska

Abstract

Governments around the world are forced to react to disasters caused by weather. The agricultural sector is particularly susceptible to weather extremes and adverse climate conditions. In the US, agricultural disaster payments account for a significant part of total agricultural subsidies. The payments, and their distribution, are more important in the areas most affected by disastrous weather events, usually coinciding with areas of pronounced impact of the El Nino Southern Oscillation (ENSO). In this article, the impact of weather and climate, as well as some economic variables, on disaster payments is analysed using county level data from four states in the southeastern United States. The results suggest that weather and climate variables explain most of the crop disaster payments at the county level while socioeconomic variables do not, suggesting that advancements in weather and climate forecasts could be helpful in planning for disaster compensation.

Suggested Citation

  • Denis Nadolnyak & Valentina Hartarska, 2012. "Agricultural disaster payments in the southeastern US: do weather and climate variability matter?," Applied Economics, Taylor & Francis Journals, vol. 44(33), pages 4331-4342, November.
  • Handle: RePEc:taf:applec:44:y:2012:i:33:p:4331-4342
    DOI: 10.1080/00036846.2011.589813
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    File URL: http://hdl.handle.net/10.1080/00036846.2011.589813
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    References listed on IDEAS

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    1. Robert Innes, 2003. "Crop Insurance in a Political Economy: An Alternative Perspective on Agricultural Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 318-335.
    2. Richards, Timothy J. & Manfredo, Mark R. & Sanders, Dwight R., 2004. "Pricing Weather Derivatives," Working Papers 28536, Arizona State University, Morrison School of Agribusiness and Resource Management.
    3. Jonathan C. Brooks & A. Colin Cameron & Colin A. Carter, 1998. "Political Action Committee Contributions and U.S. Congressional Voting on Sugar Legislation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 441-454.
    4. Denis Nadolnyak & Dmitry Vedenov & James Novak, 2008. "Information Value of Climate-Based Yield Forecasts in Selecting Optimal Crop Insurance Coverage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1248-1255.
    5. Vincent H. Smith & Barry K. Goodwin, 1995. "The Economics of Crop Insurance and Disaster Aid," Books, American Enterprise Institute, number 53374, July.
    6. Garrett, Thomas A. & Marsh, Thomas L. & Marshall, Maria I., 2006. "Political allocation of US agriculture disaster payments in the 1990s," International Review of Law and Economics, Elsevier, vol. 26(2), pages 143-161, June.
    7. Edward Miguel, 2005. "Poverty and Witch Killing," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1153-1172.
    8. Mario Miranda & Dmitry V. Vedenov, 2001. "Innovations in Agricultural and Natural Disaster Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 650-655.
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    Cited by:

    1. Chang, H.H., 2018. "Stigmatized versus Capitalization Effect on Farmland Prices - Application to the Agricultural Disaster Relief Program in Taiwan," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276977, International Association of Agricultural Economists.

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