Mapping Research on ESG Disclosure and Firm Performance: A Systematic Bibliometric Analysis
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.9.12Keywords:
Bibliometric Analysis, Corporate Governance, ESG Disclosure, Firm Performance, Profitability, Systematic Analysis, Systematic Literature Review (SLR)Dimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
An increasing apprehension regarding the societal and environmental consequences of corporate profit maximization has raised concerns about “ESG disclosure” and its influence on corporate performance. Thus, the current study conducts a bibliometric-based and systematic analysis to evaluate “the impact of ESG disclosure on firm performance”. Using bibliometric methods, the current study aims to investigate the influential authors, most cited journals, and key trends in the existing literature on ESG disclosure and firm performance. Moreover, via a systematic analysis of relevant studies, the current study produces findings to assess the overall influence of ESG disclosure on the financial and operational performance of companies. The data from 10 years, i.e., 2015 to 2024, has been used for the study. The dataset includes 25 papers published from 2015 to 2024. These papers were found on Scopus using the keywords TITLE-ABS-KEY (“ESG disclosure”) AND TITLE-ABS-KEY (“impact” OR “effect”) AND TITLE-ABS-KEY (“firm profitability” OR “organization performance” OR “firm performance”). Tools like Excel and VOS Viewer were used for the analysis. The study identified four major clusters: “analyzing the interplay between corporate governance, environmental impact, and financial performance”, “the evolution of ESG dynamics in emerging markets”, “unlocking the nexus between ESG scores, financial performance, and governance disclosure” and “driving performance through ESG disclosure”. The study offers an overview of existing knowledge by integrating bibliometric and systematic insights, offering practical implications for researchers on the ESG performance relationship.Abstract
How to Cite
Downloads
Similar Articles
- J. Fathima Fouzia, M. Mohamed Surputheen, M. Rajakumar, A Unified Consistency-Calibrated Boundary-Aware Framework for Generalizable Skin Cancer Detection , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- KIRAN DIMRI, N.K. SHARMA, SEED GERMINATION OF ANACYCLUS PYRETHRUMD.C. IN EXPERIMENTAL FIELD , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- Neha Saini, Rashmi Verma, Rabia Basri Aziz, Ashmita Bhatt, Hem Chandra Pant, Naveen Gaurav, Effect of Growth Regulators on Direct Clonal Propagation and Analysis of Total Phenolic Content of Wild and Propagated Mucuna pruriens , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Sowmiya M, Banu Rekha B, Malar E, Assessment of transfer learning models for grading of diabetic retinopathy , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Temesgen Asfaw, Customer churn prediction using machine-learning techniques in the case of commercial bank of Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Balaji V, Purnendu Bikash Acharjee, Muniyandy Elangovan, Gauri Kalnoor, Ravi Rastogi, Vishnu Patidar, Developing a semantic framework for categorizing IoT agriculture sensor data: A machine learning and web semantics approach , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Brij M. Sharma, Parul Singhal, Neeraj Uniyal, Ram T. Mourya, Jai Sharma, Community based seasonally water quality testing of tributaries of Dehradun , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Mufeeda V. K., R. Suganya, Novel deep learning assisted plant leaf classification system using optimized threshold-based CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, A COVID Net-predictor: A multi-head CNN and LSTM-based deep learning framework for COVID-19 diagnosis , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Bommaiah Boya, Premara Devaraju, Integrating clinical and ECG data for heart disease prediction: A hybrid deep learning approach based on two modalities with particle swarm optimization , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
<< < 33 34 35 36 37 38 39 40 41 42 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Vishal Panghal, Asha Singh, Dinesh Arora, Nidhi Ahlawat, Sunder S. Arya, Sunil Kumar, Horizontal flow biochar amended constructed wetlands as a sustainable approach for rural wastewater treatment , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Shri Prakash, Sunil Kumar, Population Dynamics of Sarus Crane (Grus antigone antigone, Linn.) in and around Alwara Lake of district - Kaushambi (U.P.), India , The Scientific Temper: Vol. 7 No. 1&2 (2016): THE SCIENTIFIC TEMPER
- Ajay Kumar, Sunder S. Arya, Neha Yadav, Mamta Sawariya, Naveen Kumar, Himanshu Mehra, Sunil Kumar, Assessing the role of EDTA and SA in mustard under Cd and Pb stress , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Jyoti Vishwakarma, Sunil Kumar, Navigating the Skies: An Analysis of ESG Practices in the Airline Industry , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper

