IDEAS home Printed from https://ideas.repec.org/a/taf/applec/44y2012i33p4331-4342.html

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2011.589813
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2011.589813?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Vincent H. Smith & Barry K. Goodwin, 1995. "The Economics of Crop Insurance and Disaster Aid," Books, American Enterprise Institute, number 53374, September.
    2. 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.
    3. 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.
    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. 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.
    6. Dwight R. Sanders, 2004. "Pricing Weather Derivatives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1005-1017.
    7. Edward Miguel, 2005. "Poverty and Witch Killing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1153-1172.
    8. 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.
    9. 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.
    10. Edward Miguel & Shanker Satyanath & Ernest Sergenti, 2004. "Economic Shocks and Civil Conflict: An Instrumental Variables Approach," Journal of Political Economy, University of Chicago Press, vol. 112(4), pages 725-753, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. M. Ritter & O. Mußhoff & M. Odening, 2014. "Minimizing Geographical Basis Risk of Weather Derivatives Using A Multi-Site Rainfall Model," Computational Economics, Springer;Society for Computational Economics, vol. 44(1), pages 67-86, June.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nadolnyak, Denis A. & Hartarska, Valentina M., "undated". "Weather, Climate, and Agricultural Disaster Payments in the Southeastern U.S," 2009 Conference, August 16-22, 2009, Beijing, China 51802, International Association of Agricultural Economists.
    2. repec:isu:genstf:2008010108000016857 is not listed on IDEAS
    3. Boyle, Colin F.H. & Haas, Jannik & Kern, Jordan D., 2021. "Development of an irradiance-based weather derivative to hedge cloud risk for solar energy systems," Renewable Energy, Elsevier, vol. 164(C), pages 1230-1243.
    4. Lin, Shanshan & Mullen, Jeffrey D. & Hoogenboom, Gerrit, 2009. "Spatial and Temporal On-Farm Risk Management - Crop Production Scheduling and Index Insurance Strategies," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49350, Agricultural and Applied Economics Association.
    5. Bucheli, Janic & Dalhaus, Tobias & Finger, Robert, 2022. "Temperature effects on crop yields in heat index insurance," Food Policy, Elsevier, vol. 107(C).
    6. Lin, Shanshan & Mullen, Jeffrey D. & Hoogenboom, Gerrit, 2008. "Farm-Level Risk Management Using Irrigation and Weather Derivatives," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(2), pages 485-492, August.
    7. Ahmet Göncü, 2013. "Comparison of temperature models using heating and cooling degree days futures," Journal of Risk Finance, Emerald Group Publishing, vol. 14(2), pages 159-178, February.
    8. Rui Zhou & Johnny Siu-Hang Li & Jeffrey Pai, 2019. "Pricing temperature derivatives with a filtered historical simulation approach," The European Journal of Finance, Taylor & Francis Journals, vol. 25(15), pages 1462-1484, October.
    9. Bertrand, Jean-Louis & Brusset, Xavier & Fortin, Maxime, 2015. "Assessing and hedging the cost of unseasonal weather: Case of the apparel sector," European Journal of Operational Research, Elsevier, vol. 244(1), pages 261-276.
    10. Yong Liu & A. Ford Ramsey, 2023. "Incorporating historical weather information in crop insurance rating," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 546-575, March.
    11. Musshoff, Oliver & Hirschauer, Norbert, 2008. "Hedging von Mengenrisiken in der Landwirtschaft – Wie teuer dürfen „ineffektive“ Wetterderivate sein?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(05), pages 1-12.
    12. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    13. Ishak, Phoebe W., 2022. "Murder nature: Weather and violent crime in rural Brazil," World Development, Elsevier, vol. 157(C).
    14. L. Kermiche & N. Vuillermet, 2016. "Weather derivatives structuring and pricing: a sustainable agricultural approach in Africa," Applied Economics, Taylor & Francis Journals, vol. 48(2), pages 165-177, January.
    15. Shuo Chen & Yaohui Peng & Danli Wang, 2024. "Communism and patricide: Collectivization and domestic violence in 1960s China," Economic History Review, Economic History Society, vol. 77(2), pages 703-727, May.
    16. Gulnora Raimova, 2011. "Variance reduction methods at the pricing of weather options," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 21(1), pages 3-15.
    17. Flatø, Martin & Muttarak, Raya & Pelser, André, 2017. "Women, Weather, and Woes: The Triangular Dynamics of Female-Headed Households, Economic Vulnerability, and Climate Variability in South Africa," World Development, Elsevier, vol. 90(C), pages 41-62.
    18. Andrew Grant & Steve Satchell, 2019. "Endogenous divorce risk and investment," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(3), pages 845-876, July.
    19. Markus Stowasser, 2011. "Modelling rain risk: a multi-order Markov chain model approach," Journal of Risk Finance, Emerald Group Publishing, vol. 13(1), pages 45-60, December.
    20. Xiaoxue Du & Levan Elbakidze & Liang Lu & R. Garth Taylor, 2022. "Climate Smart Pest Management," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    21. Mark Manfredo & Timothy Richards, 2009. "Hedging with weather derivatives: a role for options in reducing basis risk," Applied Financial Economics, Taylor & Francis Journals, vol. 19(2), pages 87-97.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:44:y:2012:i:33:p:4331-4342. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.