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An Analysis on Determinants of Farmers´ Adaptation to Climate Change in Korea

Author

Listed:
  • Kim, Chung-Sil
  • Jung, Hye-Kyung
  • Lee, Sang-Ho
  • Park, Soo-Young
  • Takei, Atsuo

Abstract

The purpose of this study is to analyze the determinants affecting Korean farmers' choice of adaptation measures to climate change using multinomial logit model. The major findings of this study are summarized as follows. First, the results indicate that 70.7 percent of farmers have adapted to climate change and 29.3 percent of farmers have not adapted to climate change. Second, the results show that farmers prefer changing the varieties and the seed/harvest time in order to adapt to climate change. Third, the findings also indicate that experience, cultivated area, successor to farming, use of computer and Internet, number of farmer organizations, farm household income, extensional education, and use of smartphone have a significant impact on adaptation to climate change.

Suggested Citation

  • Kim, Chung-Sil & Jung, Hye-Kyung & Lee, Sang-Ho & Park, Soo-Young & Takei, Atsuo, 2012. "An Analysis on Determinants of Farmers´ Adaptation to Climate Change in Korea," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 0(Issue 2), pages 1-20, July.
    • Handle: RePEc:ags:jordng:174515
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    References listed on IDEAS

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    1. Tse, Y K, 1987. "A Diagnostic Test for the Multinomial Logit Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 283-286, April.
    2. Salvatore Di Falco & Marcella Veronesi, 2014. "Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(4), pages 553-577, April.
    3. Seo, S. Niggol & Mendelsohn, Robert, 2008. "Animal husbandry in Africa: Climate change impacts and adaptations," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 0(Number 1), pages 1-18, March.
    4. Seo, S. Niggol & McCarl, Bruce A. & Mendelsohn, Robert, 2010. "From beef cattle to sheep under global warming? An analysis of adaptation by livestock species choice in South America," Ecological Economics, Elsevier, vol. 69(12), pages 2486-2494, October.
    5. Nhemachena, Charles & Hassan, Rashid M., 2007. "Micro-level analysis of farmers' adaptation to climate change in Southern Africa:," IFPRI discussion papers 714, International Food Policy Research Institute (IFPRI).
    6. Seo, S. Niggol, 2010. "Is an integrated farm more resilient against climate change? A micro-econometric analysis of portfolio diversification in African agriculture," Food Policy, Elsevier, vol. 35(1), pages 32-40, February.
    7. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
    8. Hassan, Rashid M. & Nhemachena, Charles, 2008. "Determinants of African farmers’ strategies for adapting to climate change: Multinomial choice analysis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 0(Number 1), pages 1-22, March.
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    Keywords

    Farm Management;

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