Data-Driven Environment, Society and Governance: Exploring How Green Finance Sparks Sustainability Based on Scientometric Analysis

DOI

10.2991/978-94-6463-198-2_28How to use a DOI?

Keywords

Green Finance; Green Economic; Sustainable Development

Abstract

The core concept of socialism with Chinese characteristics for a new era is to promote high-quality social development and build a sustainable ecological civilization. In recent years, China and even the rest of the world have begun to focus on the development of green finance, which is also one of the ways to promote sustainable economic development. With the goal of “promoting the reform of green finance and promoting the sustainable development of ecological civilization”, this paper conducts a systematic data science analysis on the existing literature in the field of green finance, so as to provide more scholars with a new vision and method on the theme of how green finance stimulates sustainability. Based on this, this paper selected 145 literatures from the Web of Science (WOS) database, and analyzed their annual number of publications, annual citation times, keywords, main research institutions, countries and so on by using big data analysis technology and visualization software. Reveal the relevant current situation of the development of green finance, so as to provide a more complete picture and produce more insightful cutting-edge academic achievements. To a certain extent, it provides innovative value theory and practical significance for promoting sustainable and high-quality development of research and co-construction environment, data-driven green investment and sustainable financial system, and makes a small contribution to the development of green finance reform and innovation programs in China and the world.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wei-Keng Zhou
AU  - Yi-Lin Yu
AU  - Yu-Mei Peng
AU  - Meng-Ting Liu
AU  - Ning-Chang Guo
AU  - Ye-Cheng Xu
AU  - Yi-Wen Tang
AU  - Lin-Sheng Huang
PY  - 2023
DA  - 2023/08/10
TI  - Data-Driven Environment, Society and Governance: Exploring How Green Finance Sparks Sustainability Based on Scientometric Analysis
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 249
EP  - 258
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_28
DO  - 10.2991/978-94-6463-198-2_28
ID  - Zhou2023
ER  -