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Adapting Agriculture to Climate Change through Growing Season Adjustments: Evidence from Corn in China

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  • Xiaomeng Cui
  • Wei Xie

Abstract

Recent studies have shown that climate change will impose severe challenges on agriculture with profound implications. Although some hypothetical simulations have suggested that an optimal re‐arrangement of the growing season can substantially mitigate yield losses under future climate, no causal estimate has been provided on quantifying the extent to which farmers are adapting through growing‐season adjustments. Using a novel microlevel data with detailed crop progress information in China over 1993–2013, we show that both planting dates and growing season lengths significantly respond to contemporaneous temperature and precipitation. Our estimates suggest that, for a median site in our sample, the adaptive behavior in growing season adjustments can lead to a two to six days earlier planting date and another three to six days shorter growing season by the end of this century. These induced adjustments can avoid up to 9% of the crop damages caused by climate change. However, our empirical analysis does not find clear evidence of long‐run response or accompanied input adjustments, suggesting potential for developing policies and tools to further aid the adaptive process.

Suggested Citation

  • Xiaomeng Cui & Wei Xie, 2022. "Adapting Agriculture to Climate Change through Growing Season Adjustments: Evidence from Corn in China," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 249-272, January.
  • Handle: RePEc:wly:ajagec:v:104:y:2022:i:1:p:249-272
    DOI: 10.1111/ajae.12227
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    Cited by:

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    2. Chen, Xiaoguang & Cui, Xiaomeng & Gao, Jing, 2023. "Differentiated agricultural sensitivity and adaptability to rising temperatures across regions and sectors in China," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    3. Ölkers, Tim & Liu, Shuang & Mußhoff, Oliver, 2023. "A typology of Malian farmers and their credit repayment performance - An unsupervised machine learning approach," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334547, Agricultural Economics Society - AES.
    4. Ahmed, Musa Hasen & Tesfaye, Wondimagegn Mesfin & Gassmann, Franziska, 2022. "Within Growing Season Weather Variability and Land Allocation Decisions: Evidence from Maize Farmers in Ethiopia," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321171, Agricultural Economics Society - AES.
    5. Musa Hasen Ahmed & Wondimagegn Mesfin Tesfaye & Franziska Gassmann, 2023. "Early growing season weather variation, expectation formation and agricultural land allocation decisions in Ethiopia," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 255-272, February.
    6. Feriga, Moustafa & Lozano Gracia, Nancy & Serneels, Pieter, 2024. "The Impact of Climate Change on Work Lessons for Developing Countries," IZA Discussion Papers 16914, Institute of Labor Economics (IZA).
    7. Chen, Xiaoguang & Cui, Xiaomeng & Gao, Jing, 2023. "Differentiated Agricultural Sensitivity and Adaptability to Rising Temperatures across Regions and Sectors in China," 2023 Annual Meeting, July 23-25, Washington D.C. 335522, Agricultural and Applied Economics Association.
    8. Muziyun Liu & Hui Liu, 2023. "Influence of Climate Change on Carbon Emissions during Grain Production and Its Mechanism," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    9. Máriam Abbas & Paulo Flores Ribeiro & José Lima Santos, 2023. "Farming system change under different climate scenarios and its impact on food security: an analytical framework to inform adaptation policy in developing countries," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(8), pages 1-27, December.
    10. Tian, Guang & Conley, Shawn & Naeve, Seth & Mitchell, Paul D., 2023. "Impacts of Climate Change and Adaptation on Crop Quality: Evidence from U.S. Soybean," 2023 Annual Meeting, July 23-25, Washington D.C. 335768, Agricultural and Applied Economics Association.

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