Discovering research trends and opportunities of green finance and energy policy: A data-driven scientometric analysis

被引:118
作者
Wang, Moran [1 ]
Li, Xuerong [2 ]
Wang, Shouyang [3 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
[3] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Green finance policy; Green bonds; Data-driven scientometric analysis; co2; emissions; Fintech; INSTITUTIONAL PRESSURES; INVESTMENT; SUBSIDY; BOND; DETERMINANTS; PERFORMANCE; INNOVATION; REDUCTION; DECISIONS; SCHEME;
D O I
10.1016/j.enpol.2021.112295
中图分类号
F [经济];
学科分类号
02 ;
摘要
With the promotion of the concept of green development on a global scale, various industries are pursuing high profit returns while also considering the harmony between human and nature. Green finance is put forward under this background. In this paper, 815 green finance and energy policy literatures are retrieved from the Web of Science database. We first carry out descriptive statistical analysis, including the overall growth, publication sources, research regions and high-level scientific research institutions. After that, we conduct clusters analysis to find the research hotspots in recent years and point out the research trends in the future. Important journals, scholars, research findings and future research focuses of green finance and energy policy are identified in this paper. The purpose of this paper is to promote the research and discussion of green finance, and to conduct a clear policy-related discussion on its impact on the energy field. Four possible green finance-related energy policies are also summarized. This research facilitates a systematic and comprehensive understanding of green finance and energy policy research, and offers that green bonds, government subsidies and carbon dioxide emissions are the research opportunities in the future, and further research can be done by combining Fintech, big data and blockchain.
引用
收藏
页数:12
相关论文
共 75 条
  • [1] The Environment and Directed Technical Change
    Acemoglu, Daron
    Aghion, Philippe
    Bursztyn, Leonardo
    Hemous, David
    [J]. AMERICAN ECONOMIC REVIEW, 2012, 102 (01) : 131 - 166
  • [2] The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness?
    Ambec, Stefan
    Cohen, Mark A.
    Elgie, Stewart
    Lanoie, Paul
    [J]. REVIEW OF ENVIRONMENTAL ECONOMICS AND POLICY, 2013, 7 (01) : 2 - 22
  • [3] Does It Pay to Be Green? A Systematic Overview
    Ambec, Stefan
    Lanoie, Paul
    [J]. ACADEMY OF MANAGEMENT PERSPECTIVES, 2008, 23 (04) : 45 - 62
  • [4] [Anonymous], 2020, ROUT STUD ASIA WORLD
  • [5] Complex investment decisions using rough set and fuzzy c-means: An example of investment in green supply chains
    Bai, Chunguang
    Dhavale, Dileep
    Sarkis, Joseph
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 248 (02) : 507 - 521
  • [6] Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory
    Bai, Qingguo
    Gong, Yeming
    Jin, Mingzhou
    Xu, Xianhao
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2019, 208 : 83 - 99
  • [7] Carbon Footprint and the Management of Supply Chains: Insights From Simple Models
    Benjaafar, Saif
    Li, Yanzhi
    Daskin, Mark
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2013, 10 (01) : 99 - 116
  • [8] Are tradable green certificates a cost-efficient policy driving technical change or a rent-generating machine? Lessons from Sweden 2003-2008
    Bergek, Anna
    Jacobsson, Staffan
    [J]. ENERGY POLICY, 2010, 38 (03) : 1255 - 1271
  • [9] Necessity as the mother of "green' inventions: Institutional pressures and environmental innovations
    Berrone, Pascual
    Fosfuri, Andrea
    Gelabert, Liliana
    Gomez-Mejia, Luis R.
    [J]. STRATEGIC MANAGEMENT JOURNAL, 2013, 34 (08) : 891 - 909
  • [10] Tax or subsidy? An analysis of environmental policies in supply chains with retail competition
    Bian, Junsong
    Zhao, Xuan
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 283 (03) : 901 - 914