Advanced search
Yang Yu, Zhang Caihong. Impact of Digital Finance Development on China's Green Development Level[J]. Journal of Beijing Forestry University (Social Science), 2022, 21(3): 28-36. DOI: 10.13931/j.cnki.bjfuss.2021248
Citation: Yang Yu, Zhang Caihong. Impact of Digital Finance Development on China's Green Development Level[J]. Journal of Beijing Forestry University (Social Science), 2022, 21(3): 28-36. DOI: 10.13931/j.cnki.bjfuss.2021248
shu

Impact of Digital Finance Development on China's Green Development Level

  • School of Economics and Management, Beijing Forestry University, 100083, P. R. China

More Information
  • Received Date: September 25, 2021
  • Available Online: March 31, 2022
  • Published Date: September 29, 2022
    Graphical Abstract
    • Abstract
  • Based on the panel data of 30 provinces in China from 2011 to 2018, this paper examines the impact of digital finance on China's green development level through benchmark regression models, intermediary effect models, threshold effect models and Spatial Dubin Models. The results show that: ① digital finance at the national and sub-regional levels can improve China's green development; ② digital finance has improved the level of green development in China through an intermediary mechanism that raises innovation efficiency, expands technology spillovers, and promotes the upgrading of industrial structure; ③ digital financial has a single threshold effect on China's green development level; ④ digital finance has a spatial spillover effect on the level of green development in China, digital finance can significantly improve the level of local green development, but it is not conducive to improving the level of green development in neighboring areas.
    • FullText(HTML)
    • References (28)
  • [1]
    罗志勇. 社会转型期我国绿色发展的困境与路径研究[J]. 观察与思考,2018(2):65-71. doi: 10.3969/j.issn.1008-8512.2018.02.009
    [2]
    王勇,李海英,俞海. 中国省域绿色发展的空间格局及其演变特征[J]. 中国人口·资源与环境,2018,28(10):96-104.
    [3]
    朱帮助,张梦凡. 绿色发展评价指标体系构建与实证[J]. 统计与决策,2019,35(17):36-39.
    [4]
    方永恒,赵雨萌. 汉江生态经济带绿色发展水平测度研究[J]. 环境科学与技术,2020,43(12):228-236.
    [5]
    宋雪纯. 基于熵值法的赣州市绿色发展综合评价研究[J]. 现代工业经济和信息化,2021,11(5):14-18.
    [6]
    LEVINE R. Finance and growth:theory and evidence[J]. Handbook of Economic Growth,2005(1):866-923.
    [7]
    白钦先,谭庆华. 论金融功能演进与金融发展[J]. 金融研究,2006(7):41-52.
    [8]
    黄建欢,吕海龙,王良健. 金融发展影响区域绿色发展的机理−基于生态效率和空间计量的研究[J]. 地理研究,2014,33(3):532-545. doi: 10.11821/dlyj201403012
    [9]
    刘海瑞. 金融发展对绿色全要素生产率的影响研究[D]. 南京: 南京师范大学, 2019.
    [10]
    卢利. 绿色金融对我国绿色技术创新的影响研究[D]. 重庆: 重庆工商大学, 2021.
    [11]
    常慧颖. 金融发展对中国区域绿色发展水平的影响研究[D]. 郑州: 河南大学, 2020.
    [12]
    黄益平,黄卓. 中国的数字金融发展:现在与未来[J]. 经济学(季刊),2018,17(4):1489-1502.
    [13]
    陈瑶. 中国区域工业绿色发展效率评估−基于R&D投入视角[J]. 经济问题,2018(12):77-83.
    [14]
    韩科振. 自主创新与技术溢出对我国绿色技术进步的影响研究−基于面板门限模型的实证分析[J]. 价格理论与实践,2020(7):149-153.
    [15]
    顾剑华,王亚倩. 产业结构变迁对区域高质量绿色发展的影响及其空间溢出效应−基于我国省域面板数据的实证研究[J]. 西南大学学报(自然科学版),2021,43(8):116-128.
    [16]
    BRUHN M,LOVE I. The real impact of improved access to finance:evidence from Mexico[J]. Journal of Finance,2014,69(3):1347-1376. doi: 10.1111/jofi.12091
    [17]
    刘湘云,吴文洋. 科技金融与高新技术产业协同演化机制及实证检验−源于广东实践[J]. 广东财经大学学报,2018,33(3):20-32.
    [18]
    魏军霞. 数字普惠金融对经济高质量发展的影响研究[D]. 兰州: 兰州大学, 2021.
    [19]
    杨艳芳,詹俊岩,胡艳君. 数字普惠金融对经济高质量发展的影响研究[J]. 科技促进发展,2021,17(5):838-845.
    [20]
    何龙森. 数字普惠金融对经济高质量发展的影响研究[D]. 重庆: 重庆工商大学, 2021.
    [21]
    冉芳,谭怡. 数字金融、创新投入与企业全要素生产率[J]. 统计与决策,2021,37(15):136-139.
    [22]
    ELHORST J P. Spatial econometrics: from cross sectional data to spatial panels[M]. New York: Springer, 2014.
    [23]
    郭峰,王靖一,王芳,等. 测度中国数字普惠金融发展:指数编制与空间特征[J]. 经济学(季刊),2020(4):1401-1418.
    [24]
    徐盈之,徐菱. 技术进步、能源贫困与我国包容性绿色发展[J]. 大连理工大学学报(社会科学版),2020,41(6):24-35.
    [25]
    李光龙,孙宏伟,周云蕾,等. 财政分权下科技创新与城市绿色发展效率[J]. 统计与信息论坛,2020,35(9):83-93. doi: 10.3969/j.issn.1007-3116.2020.09.010
    [26]
    袁华锡,刘耀彬. 金融集聚与绿色发展−基于水平与效率的双维视角[J]. 科研管理,2019,40(12):126-143.
    [27]
    周晓星,田时中. 制造业集聚的地区绿色发展效应检验−基于固定效应和门槛模型的实证[J]. 长春理工大学学报(社会科学版),2020,33(6):59-66. doi: 10.3969/j.issn.1009-1068.2020.06.013
    [28]
    LESAGE J, PACE R K. Introduction to spatial econometrics[M]. New York: CRC Press, 2009.
    • Related Articles

  • Cited by

    Periodical cited type(2)

    1. 陈晓虹，江越伟，贺铭凯. 数字技术对江苏低碳经济的影响研究. 南京工程学院学报(社会科学版). 2024(02): 57-65 .
    2. 王宇，孙继国. 数字金融能否推动沿黄流域城市绿色发展？. 兰州财经大学学报. 2024(05): 63-73 .

    Other cited types(4)

Catalog

    Get Citation
    PDF
    XML
    Article views (2092) PDF downloads (85) Cited by(6)
    Turn off MathJax
    Article Contents
    Abstract
    References

    Copyright © 2013 Editorial Department of Beijing Forestry University 京ICP备05066833号-1

    Address：North-Star Times Tower, No.8 Beichendong Road, Chaoyang District, Beijing, China. China Pos：100083

    Tel：010-62337919 Fax：021-64253812

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return