Exploring the dynamic landscape of environmental, social, and governance literature by using bibliometric analysis
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.1.20Keywords:
Environmental Social and Governance, ESG indices, ESG investing, Conventional stock market indices,, ESG rating,, ESG Score, financial performance, bibliometric analysis.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The incorporation of Environmental, Social and Governance considerations into investment decisions has experienced substantial acceleration in the dynamic landscape of modern finance. In this study, the author explores the dynamic landscape of ESG literature using bibliometric analysis. In conducting the bibliometric analysis of 764 articles for this study, RStudio& VOSviewer software were employed. The authors started by reviewing the ESG domain from 2013 to 2023. Following a thorough review of concerned literature, this paper pinpointed the most influential authors, journals, documents, and countries. Our data revealed a progressive growth in publications for the field of study. Most of the publications are from the United States. The current research focuses on three main aspects: ESG aspects, performance analysis, and science mapping analysis. Further, word cloud analysis of 723 research articles published in the last four years was conducted, for providing future insightsAbstract
How to Cite
Downloads
Similar Articles
- B.V.Thacker, G.P. Vadodaria, G.V. Priyadarshi, M.H. Trivedi, Biopolymer-based fly ash-activated zeolite for the removal of chromium from acid mine drainage , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Ayesha Shakith, L. Arockiam, EMSMOTE: Ensemble multiclass synthetic minority oversampling technique to improve accuracy of multilingual sentiment analysis on imbalance data , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Anita M, Shakila S, Stochastic kernelized discriminant extreme learning machine classifier for big data predictive analytics , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Dileep Pulugu, Shaik K. Ahamed, Senthil Vadivu, Nisarg Gandhewar, U D Prasan, S. Koteswari, Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Ramya Singh, Archana Sharma, Nimit Gupta, Nursing on the edge: An empirical exploration of gig workers in healthcare and the unseen impacts on the nursing profession , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, Feature selection in HR analytics: A hybrid optimization approach with PSO and GSO , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- N. Ruba, A. S. A. Khadir, Session password Blum–Goldwasser cryptography based user three layer authentication for secured financial transaction , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Kamna Kandpal, Piyashi Dutta, P.Sasikala Ravichandran, Examining the relationship between motivation and incentives in the context of maternal health awareness: A study of Asha workers in Uttarakhand , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Priya Tiwari, Bharat Kasar, Vibhu Tripathi, Decoding Investor’s behavior in tax saving mutual fund: A multi-item scale for evaluating investors’ category , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- M. A. Shanthi, Optimizing predictive accuracy: A comparative study of feature selection strategies in the healthcare domain , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 4 5 6 7 8 9 10 11 12 13 > >>
You may also start an advanced similarity search for this article.