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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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    References listed on IDEAS

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    Cited by:

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    2. Tzong-Haw Lee & Hung-Hao Chang & Yi-Ting Hsieh & Bo-Yuan Chang, 2021. "Can Agricultural Disaster Relief Programs Affect Farmland Prices? Empirical Evidence from Farmland Transaction Data," Land, MDPI, vol. 10(7), pages 1-14, July.
    3. 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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