湖北农业科学 ›› 2024, Vol. 63 ›› Issue (7): 250-256.doi: 10.14088/j.cnki.issn0439-8114.2024.07.040

• 乡村振兴 • 上一篇    

数字普惠金融赋能乡村振兴的效率及影响因素——基于30个省(市、自治区)的面板数据

郭晖, 张圆圆, 胡伟帮   

  1. 新疆农业大学经济管理学院,乌鲁木齐 830052
  • 收稿日期:2022-10-24 出版日期:2024-07-25 发布日期:2024-07-24
  • 作者简介:郭 晖(1971-),女,浙江杭州人,副教授,博士,主要从事农村金融研究,(电话)15199111586(电子信箱)2234717776@qq.com;共同第一作者,张圆圆(1996-),女,河北邯郸人,硕士,主要从事农村金融研究,(电话)18347136130(电子信箱)3212833967@qq.com。
  • 基金资助:
    新疆维吾尔自治区社科基金项目(22BJY021); 新疆农业大学研究生科研创新项目(XJAUGRI2022029)

The efficiency and influencing factors of digital inclusive finance empowering rural revitalization:Based on panel data from 30 Provinces(Municipalities and Autonomous Regions)

GUO Hui, ZHANG Yuan-yuan, HU Wei-bang   

  1. College of Economics and Management,Xinjiang Agricultural University, Urumqi 830052,China
  • Received:2022-10-24 Published:2024-07-25 Online:2024-07-24

摘要: 采用2011—2020年北京大学数字普惠金融指数,运用熵值法测算乡村振兴指数,基于DEA模型计算数字普惠金融赋能乡村振兴的效率,并采用Tobit模型分析效率的影响因素。结果表明,中国数字普惠金融赋能乡村振兴综合效率的水平较低,存在地区差异,数字普惠金融赋能乡村振兴的发展空间仍然较大;技术进步变动是影响效率变动的主要原因;在影响因素方面,金融中介效率、金融发展规模、产业结构、经济发展水平、财政支农力度与对外开放度对数字普惠金融赋能乡村振兴效率具有显著的正向影响,而信息化基础设施、交通运输水平、经济集聚度对数字普惠金融赋能乡村振兴效率的影响不显著。提出扩大金融发展规模与积极提高金融中介效率;支持产业结构转型升级,扩大对外开放水平,积极培育新的经济增长点;加大财政支农力度,促进数字普惠金融服务三农,提高数字普惠金融赋能乡村振兴的效率。

关键词: 数字普惠金融, 乡村振兴, 效率, 影响因素, 面板数据

Abstract: The Peking University Digital Inclusive Finance Index from 2011 to 2020 was used to calculate the rural revitalization index by adopting the entropy method. Based on the DEA model, the efficiency of digital inclusive finance empowering rural revitalization was calculated, and the influencing factors of efficiency were analyzed by using the Tobit model. The results indicated that the level of comprehensive efficiency in empowering rural revitalization through digital inclusive finance in China was relatively low, and there were regional differences. The development space for empowering rural revitalization through digital inclusive finance was still relatively large;technological progress and changes were the main reasons affecting efficiency changes; in terms of influencing factors, the efficiency of financial intermediaries, the scale of financial development, industrial structure, economic development level, fiscal support for agriculture, and the degree of openness to the outside world had a significant positive impact on the efficiency of digital inclusive finance in empowering rural revitalization,however, the impact of information infrastructure, transportation level, and economic agglomeration on the efficiency of digital inclusive finance in empowering rural revitalization was not significant. It was proposed to expand the scale of financial development and actively improve the efficiency of financial intermediaries;support the transformation and upgrading of industrial structure, expand the level of opening up to the outside world, and actively cultivate new economic growth points;increase fiscal support for agriculture, promote digital inclusive finance services for agriculture, rural areas, and farmers, and improve the efficiency of digital inclusive finance in empowering rural revitalization.

Key words: digital inclusive finance, rural revitalization, efficiency, influencing factors, panel data

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