Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 789

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Environmental, social, and governance (ESG) performance and financial outcomes: Analyzing the impact of ESG on financial performance

Chen, Simin, Song, Yu, Gao, Peng·2023·Journal of Environmental Management

Abstract

BACKGROUND Environmental Social Governance (ESG) investment had entered a phase of rapid development in the past few decades as most nations had put forward "carbon neutral" initiatives. ESG would receive more attention from the industry and academia in a global environment full of uncertainties. Companies benefit from the sharing of ESG data by improving their brand image, which attracts funding, lowers financing costs, and increases valuation. PURPOSE To explore how ESG drives corporate financial performance. Also, the research examines the interrelation of ESG presentation and corporate presentation. DESIGN /methodology/approach: Over an interval of 10 years (2011-2020) using a sample of 3332 listed organizations worldwide. The theory of the research is on the basis of stakeholder and transmitting signal theory and multiple regression and categorized regression were applied with STATA 16.0 software. RESULTS The study utilizes a large dataset of 24,076 valid observations, providing robust statistical power for the analysis. The study findings proved that ESG performance is positively interrelated with corporate performance (p < 0.01). According to the findings of the study, at 1% of the level related to significance (p < 0.01), the regression coefficient for ESG is considerably positive. Thus, the influence of ESG rating on corporate performance is significant for large-scale companies and insignificant for small-scale companies. The results demonstrate that the positive impact of ESG rating on corporate financial performance is more pronounced in the high risk case than in the low risk case (p < 0.01). The results highlight the importance of ESG performance in today's world. Overall, the study gives precious perception about the interrelation between ESG and corporate financial performance (CFP). POLICY IMPLICATIONS The researchers believe that the results of this study are beneficial to companies and governments in the development of environmentally conscious industries since they demonstrate corporate success through ESG. More realistically, the ESG can boost corporate firm performance by enabling businesses to maintain sustainability, establish a solid reputation, win the trust of stakeholders, and contribute to solving national sustainable development issues. Additionally, the researchers believe that the results of this study can boost management effectiveness, which in turn can help firms succeed. ORIGINALITY/VALUE In the context of environmentally sensitive industries, this study findings provide empirical insights to the association between the corporate firms success and ESG performance. In addition, the findings provide insights to the business organizations development and the significance of ESG integration in the business organizations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jenvman.2023.118829

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 57 references

Cited by

See all 789

Metadata

Authors
Chen, S., Song, Y., & Gao, P.
Venue
Journal of Environmental Management
Publisher
Elsevier BV
Published
2023-11
Volume
345
Pages
118829
ISSN
0301-4797 (ISSN-L)
OpenAlex
W4386535027
Cited by
789
References
57
FWCI
171.60
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Environmental, social, and governance (ESG) performance and financial outcomes: Analyzing the impact of ESG on financial performance. https://app.cochat.ai/papers/10.1016/j.jenvman.2023.118829
The paper
Chen, S., Song, Y., & Gao, P. (2023). Environmental, social, and governance (ESG) performance and financial outcomes: Analyzing the impact of ESG on financial performance. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2023.118829

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.