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Can Agricultural Credit Promote the Green Transformation of China’s Agriculture?

Author

Listed:
  • Lei Zhang

    (School of Finance, Nanjing University of Finance and Economics, Nanjing 210023, China)

  • Lili Xu

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Mingzi Gao

    (School of Finance, Nanjing Agricultural University, Nanjing 210095, China)

  • Mingdong Zhou

    (College of Economics and Management, Suqian University, Suqian 223800, China)

Abstract

The key to sustainable agricultural development is the transition to an environmentally friendly economic growth model. The development of agricultural credit (AC) plays an important role in promoting the shift of agricultural economic growth toward a green and low-carbon direction. In this context, a key question that needs to be addressed is the theoretical basis for how AC development affects agricultural green total factor productivity (AGTFP), and whether this relationship can be empirically tested. This article analyzes the impact mechanism of China’s AC development on AGTFP and conducts empirical testing using provincial panel data from 2009 to 2019. The results show that AC development significantly contributes to improving AGTFP. In terms of the underlying mechanism, AC development primarily fosters agricultural green technology innovation, thereby enhancing AGTFP.

Suggested Citation

  • Lei Zhang & Lili Xu & Mingzi Gao & Mingdong Zhou, 2024. "Can Agricultural Credit Promote the Green Transformation of China’s Agriculture?," Sustainability, MDPI, vol. 16(24), pages 1-14, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:10944-:d:1543201
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    References listed on IDEAS

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    1. Zhang, Xiaoheng & Hu, Lingxiao & Yu, Xiaohua, 2023. "Farmland Leasing, misallocation Reduction, and agricultural total factor Productivity: Insights from rice production in China," Food Policy, Elsevier, vol. 119(C).
    2. Qinhang Xu & Peixin Zhu & Liang Tang, 2022. "Agricultural Services: Another Way of Farmland Utilization and Its Effect on Agricultural Green Total Factor Productivity in China," Land, MDPI, vol. 11(8), pages 1-15, July.
    3. Lingui Qin & Yan Zhang & Yige Wang & Xinning Pan & Zhe Xu, 2024. "Research on the Impact of Digital Green Finance on Agricultural Green Total Factor Productivity: Evidence from China," Agriculture, MDPI, vol. 14(7), pages 1-23, July.
    4. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    5. Farrin, Katie & Miranda, Mario J., 2015. "A heterogeneous agent model of credit-linked index insurance and farm technology adoption," Journal of Development Economics, Elsevier, vol. 116(C), pages 199-211.
    6. Matin Qaim, 2020. "Role of New Plant Breeding Technologies for Food Security and Sustainable Agricultural Development," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(2), pages 129-150, June.
    7. Fang, Zhen, 2023. "Assessing the impact of renewable energy investment, green technology innovation, and industrialization on sustainable development: A case study of China," Renewable Energy, Elsevier, vol. 205(C), pages 772-782.
    8. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    9. Huiquan Li & Qingning Lin & Yan Wang & Shiping Mao, 2023. "Can Digital Finance Improve China’s Agricultural Green Total Factor Productivity?," Agriculture, MDPI, vol. 13(7), pages 1-19, July.
    10. Deng, Haiyan & Zheng, Wangyi & Shen, Zhiyang & Štreimikienė, Dalia, 2023. "Does fiscal expenditure promote green agricultural productivity gains: An investigation on corn production," Applied Energy, Elsevier, vol. 334(C).
    11. Nihal Ahmed & Zeeshan Hamid & Farhan Mahboob & Khalil Ur Rehman & Muhammad Sibt e Ali & Piotr Senkus & Aneta Wysokińska-Senkus & Paweł Siemiński & Adam Skrzypek, 2022. "Causal Linkage among Agricultural Insurance, Air Pollution, and Agricultural Green Total Factor Productivity in United States: Pairwise Granger Causality Approach," Agriculture, MDPI, vol. 12(9), pages 1-17, August.
    12. Akoété Ega Agbodji & Ablamba Ahoefavi Johnson, 2021. "Agricultural Credit and Its Impact on the Productivity of Certain Cereals in Togo," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3320-3336, September.
    13. Yi-feng Zhang & Min-xuan Ji & Xiu-zhi Zheng, 2023. "Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity," SAGE Open, , vol. 13(3), pages 21582440231, August.
    14. Li Wang & Jinyang Tang & Mengqian Tang & Mengying Su & Lili Guo, 2022. "Scale of Operation, Financial Support, and Agricultural Green Total Factor Productivity: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
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