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Optimising seed portfolios to cope ex ante with risks from bad weather: evidence from a recent maize farmer survey in China

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Listed:
  • Junfei Bai
  • Zhigang Xu
  • Huanguang Qiu
  • Haiyan Liu

Abstract

type="main" xml:id="ajar12056-abs-0001"> Using 4-year panel data collected from surveying 640 farmers from leading maize producing provinces in China, this study analyses how maize farmers cope with anticipated risks from bad weather by strategically adjusting variety portfolios, with particular interest in farmers' strategies in choosing and combining new and old varieties. While diversification was commonly demonstrated to be an effective means to reduce risk in most previous studies, our empirical results indicate that, in facing anticipated risks from bad weather, Chinese maize farmers tend to use fewer new varieties and allocate more land to old varieties. The lack of knowledge about weather tolerance of new varieties might be the major reason for this practice. As new varieties often have higher yield potential relative to old varieties due to technological progress, this finding suggests that Chinese maize farmers might be trading yield potential against risk reduction from bad weather. Furthermore, this study shows that maize farmers' variety adoption is significantly related to farmers' land conditions as well as their access to credit markets and technique extensions, suggesting that a well-designed policy intervention could offset or partially offset the anticipation of adverse weather impacts on farmers' variety choices and therefore on maize production.

Suggested Citation

  • Junfei Bai & Zhigang Xu & Huanguang Qiu & Haiyan Liu, 2015. "Optimising seed portfolios to cope ex ante with risks from bad weather: evidence from a recent maize farmer survey in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), pages 242-257, April.
    • Handle: RePEc:bla:ajarec:v:59:y:2015:i:2:p:242-257
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    File URL: http://hdl.handle.net/10.1111/ajar.2015.59.issue-2
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    1. Mao, Hui & Chai, Yujia & Shao, Xiaoxuan & Chang, Xue, 2024. "Digital extension and farmers' adoption of climate adaptation technology: An empirical analysis of China," Land Use Policy, Elsevier, vol. 143(C).
    2. Shi Min & Xiaobing Wang & Shaoze Jin & Hermann Waibel & Jikun Huang, 2020. "Climate change and farmers’ perceptions: impact on rubber farming in the upper Mekong region," Climatic Change, Springer, vol. 163(1), pages 451-480, November.
    3. 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.
    4. Chen, Feifei & Qiu, Huanguang & Zhao, Yilin & Wei, Xun & Wan, Xiangyuan, 2024. "Impact of new maize variety adoption on yield and fertilizer input in China: Implications for sustainable food and agriculture," Agricultural Systems, Elsevier, vol. 218(C).
    5. Tang, Liqun & Zhou, Jiehong & Bobojonov, Ihtiyor & Zhang, Yanjie & Glauben, Thomas, 2018. "Induce or reduce? The crowding-in effects of farmers’ perceptions of climate risk on chemical use in China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20, pages 27-37.

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