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Early warning information, farmers’ perceptions of, and adaptations to drought in China


  • Lingling Hou

    (School of Advanced Agricultural Sciences, Peking University)

  • Jikun Huang

    () (School of Advanced Agricultural Sciences, Peking University)

  • Jinxia Wang

    (School of Advanced Agricultural Sciences, Peking University)


Abstract Farmers’ perceptions of the local climate reflect their own judgments of climate change and may thus affect their adaptation behavior. However, the mechanisms between the provision of early warning information and farmers’ perceptions and adaptation behavior are under-researched. To address this gap in the literature, this study uses original household survey data from nine provinces in China to examine the major factors influencing farmers’ perceptions of drought and examines how perceptions affect adaptation behavior. The results show that over half of the sample farmers perceived that drought severity had increased during the past 10 years. Moreover, econometric analysis indicates that about 8% more farmers will adopt surface pipes in response to drought if early warning information about drought is provided. Farmers that perceived increasing drought severity are more likely to attempt to adapt by adopting water-saving technologies. The paper concludes by offering some policy implications for the presented results.

Suggested Citation

  • Lingling Hou & Jikun Huang & Jinxia Wang, 2017. "Early warning information, farmers’ perceptions of, and adaptations to drought in China," Climatic Change, Springer, vol. 141(2), pages 197-212, March.
  • Handle: RePEc:spr:climat:v:141:y:2017:i:2:d:10.1007_s10584-017-1900-9
    DOI: 10.1007/s10584-017-1900-9

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    References listed on IDEAS

    1. repec:ags:stataj:117582 is not listed on IDEAS
    2. de Brauw, Alan & Huang, Jikun & Rozelle, Scott & Zhang, Linxiu & Zhang, Yigang, 2002. "The Evolution of China's Rural Labor Markets During the Reforms," Journal of Comparative Economics, Elsevier, vol. 30(2), pages 329-353, June.
    3. Wang, Jinxia & Yang, Yu & Huang, Jikun & Chen, Kevin, 2015. "Information provision, policy support, and farmers’ adaptive responses against drought: An empirical study in the North China Plain," Ecological Modelling, Elsevier, vol. 318(C), pages 275-282.
    4. Miranda, Alfonso & Rabe-Hesketh, Sophia, 2006. "Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables," Stata Journal, StataCorp LP, vol. 6(3), pages 1-24.
    5. Blanke, Amelia & Rozelle, Scott & Lohmar, Bryan & Wang, Jinxia & Huang, Jikun, 2007. "Water saving technology and saving water in China," Agricultural Water Management, Elsevier, vol. 87(2), pages 139-150, January.
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    Cited by:

    1. Hou, L. & Min, S. & Huang, Q. & Huang, J., 2018. "Farmers perceptions of, ex ante and ex post adaptations to drought: Empirical evidence from maize farmers in China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277208, International Association of Agricultural Economists.
    2. Tang, L. & Zhou, J. & Liu, Q., 2018. "Beyond quantity: the crowding-in effects of perception of climate risk on chemical use by Chinese rice farmers," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277220, International Association of Agricultural Economists.
    3. repec:zbw:espost:179505 is not listed on IDEAS


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