Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Synthesis on ESG performance and green innovation Based on Quantitative Methods-Bibliometrix R Package

Authors
Jiaxin Zhang1, 2, *
1LYCEUM OF THE PHILIPPINES UNIVERSITY MANILA, Manila, Philippines
2Quanzhou Vocational College of Economics and Business, Quzhou, Fujian, China, 362000
*Corresponding author. Email: 454925747@qq.com
Corresponding Author
Jiaxin Zhang
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_45How to use a DOI?
Keywords
ESG performance; green innovation; bibliometric
Abstract

In the context of UN Sustainable Develop Goals of 2030, the ESG performance and green innovation is an attracting field for not only scholars, but also managerial and governors. Yet few scholars have made contribution on synthesizing knowledges of this field. With assisting of R package Bibliometrix, this research employs mathematical method, which is the bibliometric analysis, to help give an insight of ESG performance and green innovation. Bibliometrics is the use of statistical analysis and quantitative methods to measure and analyze information within publications. It helps assess the impact, evaluate productivity, and understand trends in research and scholarly communication. A total of 77 articles were retrieved from WoS core collection. The results are visually represented as well as prosperous future research topics for academics diving into. The ESG performance and green innovation is currently in bursting stage. Ownership, financial constraints, incentives, sustainability, performance management, and economic growth is the motor theme, worthing dig into. The results may help scholars quickly understand this field and identify frontier. In addition, this research also provided a value reference for conducting bibliographic analysis in ESG performance and green innovation field as well as other scholar domains.

Copyright
© 2024 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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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
978-94-6463-264-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_45How to use a DOI?
Copyright
© 2024 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.

Cite this article

risenwbib
TY  - CONF
AU  - Jiaxin Zhang
PY  - 2023
DA  - 2023/09/28
TI  - Synthesis on ESG performance and green innovation Based on Quantitative Methods-Bibliometrix R Package
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 404
EP  - 409
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_45
DO  - 10.2991/978-94-6463-264-4_45
ID  - Zhang2023
ER  -