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Impact of Farmers’ Participation in the Transformation of the Farmland Transfer Market on the Adoption of Agricultural Green Production Technologies

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  • Tianshu Quan

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Weiguo Jia

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Tianli Quan

    (Huai’an Taxation Bureau, Jiangsu Provincial Tax Service, State Taxation Administration, Huaian 223300, China)

  • Yuyun Xu

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

Abstract

Exploring the adoption of green production technologies by farmers (GTA) is of great significance, given the context of global climate change and sustainable agricultural development. This article starts from the perspective of the transformation of the farmland transfer market, based on research data from 2076 farmers, and uses the endogenous disposal effect model to examine its impact on GTA. The results indicate that the transformation of China’s farmland transfer market has a significant “greening” effect on agriculture. Specifically, the paid transfer of farmland, written leases, and clear lease forms promote GTA, while acquaintance transactions are not conducive to it. Participation in the farmland transfer market has increased the likelihood of GTA by 18.7% and is statistically significant at the 1% level. However, the adoption level of green production technology by ordinary farmers remains low, and achieving green development in agriculture is a long and arduous task. Mechanism analysis shows that the transformation of the farmland transfer market can effectively enhance GTA by increasing the scale of operations, farmers’ income, and mechanization levels. When the transfer targets new business entities, such as family farms, professional cooperatives, and enterprises, it significantly promotes GTA. The findings suggest that deepening the reform of the farmland transfer market, promoting large-scale agricultural operations, strengthening the application of green production technologies, improving the level of agricultural mechanization, and accelerating the process of sustainable agricultural development are all essential steps toward enhancing GTA and, ultimately, achieving sustainable agricultural development.

Suggested Citation

  • Tianshu Quan & Weiguo Jia & Tianli Quan & Yuyun Xu, 2024. "Impact of Farmers’ Participation in the Transformation of the Farmland Transfer Market on the Adoption of Agricultural Green Production Technologies," Agriculture, MDPI, vol. 14(10), pages 1-23, September.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:10:p:1677-:d:1485716
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    References listed on IDEAS

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    1. Lyubov Kurkalova & Catherine Kling & Jinhua Zhao, 2006. "Green Subsidies in Agriculture: Estimating the Adoption Costs of Conservation Tillage from Observed Behavior," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(2), pages 247-267, June.
    2. Tongwei Qiu & Biliang Luo & Liang Tang & Qinying He, 2022. "Does land tenure security increase the marketization of land rentals between acquaintances?," Applied Economics Letters, Taylor & Francis Journals, vol. 29(9), pages 790-793, May.
    3. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    4. Yang, Xin & Zhou, Xiaohe & Deng, Xiangzheng, 2022. "Modeling farmers’ adoption of low-carbon agricultural technology in Jianghan Plain, China: An examination of the theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    5. Ranjan, Pranay & Wardropper, Chloe B. & Eanes, Francis R. & Reddy, Sheila M.W. & Harden, Seth C. & Masuda, Yuta J. & Prokopy, Linda S., 2019. "Understanding barriers and opportunities for adoption of conservation practices on rented farmland in the US," Land Use Policy, Elsevier, vol. 80(C), pages 214-223.
    6. Tongwei Qiu & Xinjie Shi & Biliang Luo, 2022. "Formalizing agricultural rentals in China: Does local public action help?," Development Policy Review, Overseas Development Institute, vol. 40(4), July.
    7. Ronna Cong & David M. Drukker, 2001. "Treatment effects model," Stata Technical Bulletin, StataCorp LP, vol. 10(55).
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