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A Study on Factors Influencing the Efficiency of Rural Agriculture Financial Support in China

Author

Listed:
  • Bo Song

    (School of Economics and Trade, Henan University of Technology, Zhengzhou 450001, China)

  • Jing Zhao

    (School of Economics and Trade, Henan University of Technology, Zhengzhou 450001, China)

  • Panpan Zhang

    (School of Economics and Trade, Henan University of Technology, Zhengzhou 450001, China)

Abstract

The development of rural finance has an important impact on agricultural development. This study is to quantitatively evaluate the efficiency of rural agriculture financial support in China and empirically analyze its influencing factors. Based on the panel data of 30 provinces in China from 2014 to 2018, this study uses the DEA model to quantitatively evaluate the efficiency of rural agriculture financial support and uses the panel Tobit model to form an empirical analysis of its influencing factors. The results show that: (1) The efficiency of rural agriculture financial support in the eastern region is significantly higher than that in the central and western regions; (2) The efficiency of rural agriculture financial support in Beijing, Zhejiang, and Guangdong are on the production frontier over the years, while other provinces have a large space to improve efficiency; (3) The strength of rural financial support as well as the level of regional economic development has a significant positive impact on the efficiency of rural agriculture financial support, while the intensity of rural financial services, as well as the scale of agricultural production and operation, has a significant negative impact. Finally, this study puts forward policy recommendations on rural financial support for the development of “agriculture, rural areas and farmers”.

Suggested Citation

  • Bo Song & Jing Zhao & Panpan Zhang, 2022. "A Study on Factors Influencing the Efficiency of Rural Agriculture Financial Support in China," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14954-:d:970379
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    References listed on IDEAS

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    1. Wei Xu & Hongyong Fu & Huanpeng Liu, 2019. "Evaluating the Sustainability of Microfinance Institutions Considering Macro-Environmental Factors: A Cross-Country Study," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    2. Xianhua Tan & Sanggyun Na & Lei Guo & Jing Chen & Zhihua Ruan, 2019. "External Financing Efficiency of Rural Revitalization Listed Companies in China—Based on Two-Stage DEA and Grey Relational Analysis," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    3. Yueyue He & Tanveer Ahmed, 2022. "Farmers’ Livelihood Capital and Its Impact on Sustainable Livelihood Strategies: Evidence from the Poverty-Stricken Areas of Southwest China," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    4. Louis, Philippe & Seret, Alex & Baesens, Bart, 2013. "Financial Efficiency and Social Impact of Microfinance Institutions Using Self-Organizing Maps," World Development, Elsevier, vol. 46(C), pages 197-210.
    5. Isabel Sainz-Fernandez & Begoña Torre-Olmo & Carlos López-Gutiérrez & Sergio Sanfilippo-Azofra, 2018. "Development of the Financial Sector and Growth of Microfinance Institutions: The Moderating Effect of Economic Growth," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    6. Hongbo Zhao & Xiao Zheng & Lin Yang, 2022. "Does Digital Inclusive Finance Narrow the Urban-Rural Income Gap through Primary Distribution and Redistribution?," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
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    Cited by:

    1. Ye Tian & Qin Liu & Yiting Ye & Zhaofang Zhang & Ribesh Khanal, 2023. "How the Rural Digital Economy Drives Rural Industrial Revitalization—Case Study of China’s 30 Provinces," Sustainability, MDPI, vol. 15(8), pages 1-18, April.

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