Digital inclusive finance and green transformation of manufacturing enterprises: Empirical analysis based on the dual perspectives of demand and supply

被引:12
|
作者
Fu, Hengni [1 ]
Zheng, Chengsi [1 ]
Yang, PingYu [2 ]
机构
[1] Wenzhou Business Coll, Sch Finance & Trade, Wenzhou, Peoples R China
[2] Wenzhou Business Coll, Sch Management, Wenzhou, Peoples R China
关键词
Digital inclusive finance; Green Total factor productivity; Environmental awareness;
D O I
10.1016/j.techfore.2023.123152
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study aimed to examine the relationship between digital inclusive finance (DIF) and the green trans-formation of manufacturing enterprises using data from A-share listed manufacturing companies in China from 2011 to 2020. This study employs a super-efficient SBM model to measure enterprises' green total factor productivity (GTFP) as a proxy variable for their green transformation. It explores the mechanisms through which DIF influences this transformation. Additionally, this study examines the effect of informal environmental regulation based on residents' environmental awareness. The results show that (1) the development of DIF has a significant improvement effect on enterprises' GTFP; (2) alleviating financing constraints on the supply side and promoting residents' consumption on the demand side are identified as important mechanisms through which DIF improves enterprises' GTFP; (3) increased residents' environmental awareness can strengthen the positive effect of DIF on the GTFP of enterprises; and (4) the promotion effect of DIF on the GTFP of enterprises is more significant in non-state-owned enterprises and eastern regions. These conclusions provide valuable policy in-sights to advance the development of DIF and facilitate the green transformation of the manufacturing industry.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Digital finance and green innovation efficiency: empirical data from Chinese listed manufacturing companies
    Lu, Hongyu
    Cheng, Zhao
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 31 (1) : 371 - 383
  • [42] Digital finance and green innovation efficiency: empirical data from Chinese listed manufacturing companies
    Hongyu Lu
    Zhao Cheng
    Environmental Science and Pollution Research, 2024, 31 : 371 - 383
  • [43] RETRACTION: Digital finance, export growth, and sustainability: a study based on Chinese manufacturing enterprises
    Li, Weiqing
    Hu, Feng
    ECONOMIC CHANGE AND RESTRUCTURING, 2024, 57 (06)
  • [44] Impact of Digital Transformation on Green Innovation in Manufacturing under Dual Carbon Targets
    Yang, Jianliang
    Shan, Hongbo
    Xian, Penglong
    Xu, Xiaomeng
    Li, Na
    SUSTAINABILITY, 2024, 16 (17)
  • [45] Path analysis of digital development on the green industrial transformation of Chinese resource-based enterprises
    Zhao Q.
    Guo M.
    Feng F.
    Li J.
    Guan H.
    Resources Policy, 2024, 93
  • [46] Catalyst or stumbling block: do green finance policies affect digital transformation of heavily polluting enterprises?
    Huang, Yujie
    Bai, Fuping
    Shang, Mengting
    Liang, Bohan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (38) : 89036 - 89048
  • [47] Catalyst or stumbling block: do green finance policies affect digital transformation of heavily polluting enterprises?
    Yujie Huang
    Fuping Bai
    Mengting Shang
    Bohan Liang
    Environmental Science and Pollution Research, 2023, 30 : 89036 - 89048
  • [48] Impacts of green taxation on the green transformation of manufacturing industry: an empirical analysis based on Chinese provincial panel data
    Yao, Li
    Jin, Minyan
    ECONOMIC CHANGE AND RESTRUCTURING, 2024, 57 (01)
  • [49] Analysis on the influence of innovation factors on the digital transformation of Chinese manufacturing enterprises: empirical evidence from A-share listed companies in manufacturing industry
    Dai, Jianhua
    Xu, Shuanglei
    INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2025, 97 (2-3)
  • [50] Can digital transformation promote the green innovation quality of enterprises? Empirical evidence from China
    Huang, Yang
    Lau, Chau-wa
    PLOS ONE, 2024, 19 (03):