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Impacts of Farmers’ Adaptation to Extreme Weather Events on Rice Productivity

Author

Listed:
  • Kannika Thampanishvong
  • Nipon Poapongsakorn
  • Bhim Adhikari

Abstract

Floods and drought are the extreme weather events that pose major concerns on rice farmers in Thailand, particularly those in the Chao Phraya River Basin (CPRB). To mitigate the impacts of extreme weather events on the rice production and their livelihoods, some of these farm households have undertaken some adaptation strategies, such as shifting crop calendar, changing rice varieties, etc. Using data from the survey of farm household in the CPRB, this study highlights the adaptation strategies adopted by farm households and analyzes the impacts of adaptation to extreme weather events on rice productivity using the endogenous switching model. Our results show that adaptation to floods that took place in CPRB increases the wet-season rice productivity. The unconditional impacts of adaptation on wet-season rice productivity are around 120 kilograms per rai (approximately 0.16 hectares). The treatment effect, which captures the counterfactual case whereby farm households who adapted instead chose not to adapt at the decision stage, shows that the impacts of adaptation on wet-season rice productivity is around 31 kilograms per rai, i.e. farm households who adapted to extreme weather events would have produced 31 kilograms less per rai if they did not adapt.

Suggested Citation

  • Kannika Thampanishvong & Nipon Poapongsakorn & Bhim Adhikari, 2024. "Impacts of Farmers’ Adaptation to Extreme Weather Events on Rice Productivity," PIER Discussion Papers 221, Puey Ungphakorn Institute for Economic Research.
  • Handle: RePEc:pui:dpaper:221
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    References listed on IDEAS

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    1. Nathaniel B Lyman & Krishna S V Jagadish & L Lanier Nalley & Bruce L Dixon & Terry Siebenmorgen, 2013. "Neglecting Rice Milling Yield and Quality Underestimates Economic Losses from High-Temperature Stress," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    2. Justin Yifu Lin, 1991. "Education and Innovation Adoption in Agriculture: Evidence from Hybrid Rice in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 713-723.
    3. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Adaptation; Extreme weather events; Chao Phraya River Basin of Thailand; Endogenous switching; Rice productivity;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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