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The influence of peer effects on farmers’ response to climate change: evidence from Sichuan Province, China

Author

Listed:
  • Junqiao Ma

    (Sichuan Agricultural University)

  • Wenfeng Zhou

    (Sichuan Agricultural University)

  • Shili Guo

    (Southwestern University of Finance and Economics)

  • Xin Deng

    (Sichuan Agricultural University)

  • Jiahao Song

    (Sichuan Agricultural University)

  • Dingde Xu

    (Sichuan Agricultural University
    Sichuan Center for Rural Development Research, Sichuan Agricultural University)

Abstract

Guiding farmers to respond to climate change is of great significance to China’s adaptation to climate change and global sustainable development. Using survey data of 540 farmers from Sichuan Province, the binary probit model and propensity score matching (PSM) method were used to analyze the peer effects on farmers’ response to climate change. The results show that (1) the adaptive behaviors of relatives and friends, neighbors, and government have a significant positive effect on farmers’ response to climate change; (2) the adaptability of different groups to climate change has different impacts on farmers’ response to climate change, and the order of impacts is government > relatives and friends > neighbors; (3) farmers with smaller per capita arable land and lower per capita income are more inclined to respond to climate change under the influence of their relatives and friends’, neighbors’, and governments’ adaptation to climate change; and (4) social trust and environmental perception play a significant mediating role in the peer effects of farmers’ response to climate change. This study will provide reference for the government to guide farmers in making policies related to climate change.

Suggested Citation

  • Junqiao Ma & Wenfeng Zhou & Shili Guo & Xin Deng & Jiahao Song & Dingde Xu, 2022. "The influence of peer effects on farmers’ response to climate change: evidence from Sichuan Province, China," Climatic Change, Springer, vol. 175(1), pages 1-23, November.
    • Handle: RePEc:spr:climat:v:175:y:2022:i:1:d:10.1007_s10584-022-03463-3
    DOI: 10.1007/s10584-022-03463-3
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    Cited by:

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    3. Xiaowei Yao & Liqi Guo & Jinteng Li & Zhiyu Zhong & Lu Sun & Ying Wang, 2024. "Impacts of Farmer Differentiation and Environmental Cognition on Farmers’ Willingness to Withdraw from Rural Homesteads: Evidence from Two Pilot Areas in East Hubei, China," Land, MDPI, vol. 13(8), pages 1-21, August.
    4. Jiaxu Ling & Yongji Xue & Chenyujing Yang & Yuanyuan Zhang, 2022. "Effect of Farmers’ Awareness of Climate Change on Their Willingness to Adopt Low-Carbon Production: Based on the TAM-SOR Model," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
    5. Li, Yanjiao & Qing, Chen & Guo, Shili & Deng, Xin & Song, Jiahao & Xu, Dingde, 2023. "When my friends and relatives go solar, should I go solar too? —— Evidence from rural Sichuan province, China," Renewable Energy, Elsevier, vol. 203(C), pages 753-762.
    6. Wenfeng Zhou & Jia He & Shaoquan Liu & Dingde Xu, 2023. "How Does Trust Influence Farmers’ Low-Carbon Agricultural Technology Adoption? Evidence from Rural Southwest, China," Land, MDPI, vol. 12(2), pages 1-14, February.
    7. Zhiqiang Cheng & Jinyang Cai, 2024. "How do climate anomalies affect the duration of land transfers? Evidence from China," Climatic Change, Springer, vol. 177(10), pages 1-20, October.
    8. Jinxing Wang & Wanming Li & Shamsheer ul Haq & Pomi Shahbaz, 2023. "Adoption of Renewable Energy Technology on Farms for Sustainable and Efficient Production: Exploring the Role of Entrepreneurial Orientation, Farmer Perception and Government Policies," Sustainability, MDPI, vol. 15(7), pages 1-20, March.

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