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Research on the Impact of Digital Green Finance on Agricultural Green Total Factor Productivity: Evidence from China

Author

Listed:
  • Lingui Qin

    (School of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

  • Yan Zhang

    (School of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

  • Yige Wang

    (International College, China Agricultural University, Beijing 100091, China)

  • Xinning Pan

    (Department of Foreign Languages, Shenyang Agricultural University, Shenyang 110866, China)

  • Zhe Xu

    (School of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China)

Abstract

Green development has become one of the important concepts leading China’s economic developments, and it is extremely meaningful to boost the continuous growth of agricultural green total factor productivity (AGTFP) to achieve the construction of a powerful agricultural country. Using China’s provincial data from 2011 to 2020, this manuscript calculates AGTFP through the SBM–GML model, and the digital green finance (DGF) through a comprehensive indicator system. The double fixed-effect model, quantile model and spatial Durbin model are used for in-depth study of the benchmark influence, the nonlinear effect and spatial spillover effect of DGF on AGTFP. The main research conclusions of the article are as follows: (1) DGF is significantly conducive to the improvement of AGTFP. Along with the continuous growth of AGTFP, the promoting effect of DGF has gradually increased. (2) In terms of impact path, green finance can properly promote the growth of AGTFP, while the role of the degree of digitization is not very significant. Meanwhile, the main channel for DGF to promote AGTFP is through green technology efficiency. (3) The impact of DGF on AGTFP varies spatially, while the role is more effective in regions with a higher degree of economic development and well-developed modernization. (4) There is a spatial spillover effect of DGF’s impact on AGTFP, which means that DGF can simultaneously promote the growth of AGTFP in local regions and neighboring regions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:7:p:1151-:d:1435782
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    References listed on IDEAS

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    Cited by:

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    3. Hui Qi & Yue Liu & Hanzi Chen & Pierre Failler, 2025. "The Impact of Enterprise Digitalization on Green Total Factor Productivity: Evidence from Chinese Provinces," Sustainability, MDPI, vol. 17(8), pages 1-23, April.
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    5. 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.
    6. Ewa Szafraniec-Siluta & Agnieszka Strzelecka & Danuta Zawadzka, 2025. "Achieving Sustainable Development Goals: The Case of Farms in Poland," Agriculture, MDPI, vol. 15(17), pages 1-26, September.
    7. Qi Li & Zixuan Wang, 2025. "Has contract farming improved the green technology efficiency of vegetable growers? Empirical evidence from rural areas in Shandong Province, China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 71(7), pages 378-393.
    8. Yuxuan Wang & Ze Tian & Xiaodong Jing & Mengyao Li, 2025. "Development Dynamics and Influencing Factors of China’s Agricultural Green Ecological Efficiency Based on an Evaluation Model Incorporating Ecosystem Service Value and Carbon Emissions," Sustainability, MDPI, vol. 17(18), pages 1-31, September.

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