Do ESG practices affect the financial performance of banks? A meta-analysis perspective
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Received February 28, 2025;Accepted September 17, 2025;Published October 1, 2025
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Author(s)Amiya Kumar MohapatraLink to ORCID Index: https://orcid.org/0000-0003-3963-5997
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Subhasish DasLink to ORCID Index: https://orcid.org/0000-0001-8299-9652
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Yayati NayakLink to ORCID Index: https://orcid.org/0009-0001-0944-5546
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Aditya Prasad SahooLink to ORCID Index: https://orcid.org/0000-0003-3505-5741
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Rahul MattaLink to ORCID Index: https://orcid.org/0000-0003-3819-8799
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DOIhttp://dx.doi.org/10.21511/bbs.20(3).2025.09
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Article InfoVolume 20 2025, Issue #3, pp. 117-128
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Cited by1 articlesJournal title: Journal of Risk and Financial ManagementArticle title: ESG Determinants of Financial Development: Integrating Econometrics and Machine-Learning EvidenceDOI: 10.3390/jrfm19040279Volume: 19 / Issue: 4 / First page: 279 / Year: 2026Contributors: Angelo Leogrande, Massimo Arnone, Alberto Costantiello, Carlo Drago
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
This study aims to investigate the pooled effects of environmental, social, and governance (ESG) practices on banks’ financial performance (FP) using a random effects model of meta-analysis. In line with the PRISMA guidelines, 52 studies were identified as eligible out of 387 studies for this analysis. After applying the inclusion criteria, i.e., studies that have quantitatively reported the required measures like the correlation coefficient between ESG and FP, 16 studies were considered for meta-analysis with a combined total sample of 4,084 participants. The combined effect size was r = 0.10 (SE = 0.10, 95% CI: –0.11 to 0.31), reflecting a weak and insignificant correlation, and hence displaying no impact of ESG practices on the financial performance of banks during the study period 2018 to 2025. Furthermore, the predicted interval was –1.38 to 1.59, which means that future research would provide very heterogeneous effect sizes. A heterogeneity analysis shows that there is wide variation among the studies (Q = 1213.82, p < 0.001, I² = 98.76%), indicating that differences in study characteristics may lead to differences in effect sizes. The trim and fill method provides no evidence for the existence of missing studies; however, publication bias is considered a possibility. The findings should be interpreted cautiously, given their high heterogeneity and the suspected source of bias. Despite their small effect size, inconsistencies across studies highlight the need for future research to investigate possible moderating factors. Practical implications emphasize that even if the generalizability of the findings is established, it cannot be without considering study-specific variables.
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JEL Classification (Paper profile tab)G21, G30, M14, L25
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References35
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Tables4
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Figures3
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- Figure 1. Forest plot
- Figure 2. Funnel plot
- Figure 3. Standardized residual histogram
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- Table 1. Studies included for analysis
- Table 2. Meta-analysis model
- Table 3. Publication bias analysis (funnel plot)
- Table 4. Bin table (residual histogram)
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Conceptualization
Amiya Kumar Mohapatra, Subhasish Das, Aditya Prasad Sahoo
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Formal Analysis
Amiya Kumar Mohapatra, Subhasish Das, Yayati Nayak, Aditya Prasad Sahoo, Rahul Matta
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Investigation
Amiya Kumar Mohapatra, Subhasish Das, Aditya Prasad Sahoo, Rahul Matta
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Methodology
Amiya Kumar Mohapatra, Subhasish Das
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Project administration
Amiya Kumar Mohapatra, Yayati Nayak, Aditya Prasad Sahoo, Rahul Matta
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Software
Amiya Kumar Mohapatra, Subhasish Das, Rahul Matta
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Supervision
Amiya Kumar Mohapatra, Aditya Prasad Sahoo, Rahul Matta
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Validation
Amiya Kumar Mohapatra, Subhasish Das, Yayati Nayak, Aditya Prasad Sahoo
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Writing – original draft
Amiya Kumar Mohapatra, Subhasish Das, Aditya Prasad Sahoo
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Writing – review & editing
Amiya Kumar Mohapatra, Subhasish Das, Yayati Nayak, Rahul Matta
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Data curation
Subhasish Das, Yayati Nayak, Aditya Prasad Sahoo, Rahul Matta
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Resources
Yayati Nayak, Rahul Matta
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Visualization
Yayati Nayak, Aditya Prasad Sahoo, Rahul Matta
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Conceptualization
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ESG disclosure and financial performance: Empirical study of Vietnamese commercial banks
Banks and Bank Systems Volume 19, 2024 Issue #1 pp. 208-220 Views: 9119 Downloads: 2865 TO CITE АНОТАЦІЯEnvironmental, social, and governance (ESG) disclosure becomes vital for banks to be transparent and accountable for their investments and lending decisions to shareholders, regulators, and society. The potential enhancement of shareholder value through ESG disclosure is still inconsistent. Empirical studies on the association between ESG disclosure and financial performance are mixed and limited in emerging economies. This study aims to examine whether ESG disclosure impacts the financial performance of 24 Vietnamese commercial banks in terms of return on assets (ROA), return on equity (ROE), and net interest margin (NIM). The study uses the feasible generalized least squares estimation method based on panel data from 2018 to 2022. The study employs content analysis on 12 themes related to environmental, social, and governance pillars to score policy disclosure based on the Fair Finance Guide Methodology. The results highlight the positive effects of ESG policy disclosure, individual environment disclosure (E), and individual governance disclosure (G) on bank financial performance. Notably, ESG, E, and G have the largest influence on ROE, with coefficients of 0.051, 0.036, and 0.027, respectively, at a 5% significance level. However, the study does not provide evidence of a statistically significant association between social disclosure and financial performance. These results provide empirical evidence for regulators and bank managers to shape ESG policies and practices aligning with international standards.
Acknowledgment
ESG disclosure score of 11 banks as primary data in this study is conducted under the project coordinated by the Fair Finance Vietnam coalition, as part of Fair Finance International. -
Green product buying intentions among young consumers: extending the application of theory of planned behavior
Andhy Setyawan
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Noermijati Noermijati
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Sunaryo Sunaryo ,
Siti Aisjah
doi: http://dx.doi.org/10.21511/ppm.16(2).2018.13
Problems and Perspectives in Management Volume 16, 2018 Issue #2 pp. 145-154 Views: 5152 Downloads: 1998 TO CITE АНОТАЦІЯThis research reveals the factors explaining the purchase intention toward green products among young consumers. Young consumers are beginner consumers who are going to play an important role to take a responsibility in preserving the environment. Theory of Planned Behavior (TPB) is selected as the main theoretical framework in this research alongside some other variables (environmental concern, environmental knowledge, and willingness to pay), which are added in the research model to expand TPB application. Three hundred and twenty-six respondents were interviewed through a survey and the data are analyzed using Structural Equation Modeling (SEM).
The findings illustrated that not every explanatory variable influenced the purchase intention toward green products among young consumers. Environmental concern and attitude did not influence the purchase intention toward green products among young consumers. -
Green perceived value and green product purchase intention of Gen Z consumers: Moderating role of environmental concern
Syarifah Hudayah
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Melda Aulia Ramadhani
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Kezia Arum Sary
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Sugeng Raharjo
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Rizky Yudaruddin
doi: http://dx.doi.org/10.21511/ee.14(2).2023.07
Environmental Economics Volume 14, 2023 Issue #2 pp. 87-102 Views: 5123 Downloads: 1158 TO CITE АНОТАЦІЯThe primary objective of this study is to examine the connection between Generation Z Indonesian consumers’ perceptions of value for green products and their purchase intentions, with a supplementary investigation into how environmental concerns moderate the influence of perceived green value on their intention to purchase green products. Between June and December 2021, a probability sampling technique, specifically stratified random sampling, was used to select a sample of 543 Indonesian Generation Z consumers. The data were analyzed using a variance-based method, namely partial least squares, within the context of structural equation modeling. The analysis reveals that functional value, conditional value, and environmental concern significantly and positively affect the intention to purchase green products. This indicates that Generation Z consumers are more inclined to choose green products when they perceive them to have good functional value, when specific conditions or requirements support the purchase, and when they have a high environmental concern. Moreover, environmental concern moderates the effect of social value on the intention to purchase green products. This suggests that more environmentally conscious consumers are more likely to be influenced by social value benefits when deciding to buy green products, highlighting the complex interplay between environmental and social motivations in shaping consumer behavior towards sustainability.

