Board Independence or Board Gender Diversity: Which Matters More for ESG Disclosure Quality in Nigeria?

The quality of environmental, social, and governance (ESG) disclosures has emerged as a central concern for regulators, investors, and civil society actors operating in emerging market economies. Yet the corporate governance mechanisms that drive disclosure quality in such contexts remain contested. This study examines whether board independence or board gender diversity is a more significant determinant of ESG disclosure quality among listed firms in Nigeria, using an unbalanced panel dataset of 148 firms quoted on the Nigerian Exchange Group (NGX) covering the period 2011 to 2025. Grounded in agency theory, resource dependence theory, and the tokenism thesis, and estimated via fixed-effects and random-effects panel regression models with appropriate post-estimation diagnostics, the study finds that board independence exerts a statistically significant and positive effect on ESG disclosure quality, while board gender diversity, though directionally consistent with theoretical expectations, yields results that are sensitive to the proportional representation of women on boards. Control variables, including firm size, return on assets (ROA), leverage, board size, Big 4 auditor affiliation, industry dummies, and year dummies, are incorporated and produce findings that are broadly consistent with prior literature. The study contributes to the thin but growing body of evidence on ESG governance in sub-Saharan Africa and offers actionable policy recommendations for regulators and corporate boards in Nigeria and comparable frontier markets.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-14
DOI
https://doi.org/10.5281/zenodo.20181676
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Board Independence or Board Gender Diversity: Which Matters More for ESG Disclosure Quality in Nigeria?

Onipe Adabenege Yahaya
Zenodo (CERN European Organization for Nuclear Research)
Corporate Social Responsibility Reporting
article

Board Independence or Board Gender Diversity: Which Matters More for ESG Disclosure Quality in Nigeria?

Onipe Adabenege Yahaya
article en

Abstract

The quality of environmental, social, and governance (ESG) disclosures has emerged as a central concern for regulators, investors, and civil society actors operating in emerging market economies. Yet the corporate governance mechanisms that drive disclosure quality in such contexts remain contested. This study examines whether board independence or board gender diversity is a more significant determinant of ESG disclosure quality among listed firms in Nigeria, using an unbalanced panel dataset of 148 firms quoted on the Nigerian Exchange Group (NGX) covering the period 2011 to 2025. Grounded in agency theory, resource dependence theory, and the tokenism thesis, and estimated via fixed-effects and random-effects panel regression models with appropriate post-estimation diagnostics, the study finds that board independence exerts a statistically significant and positive effect on ESG disclosure quality, while board gender diversity, though directionally consistent with theoretical expectations, yields results that are sensitive to the proportional representation of women on boards. Control variables, including firm size, return on assets (ROA), leverage, board size, Big 4 auditor affiliation, industry dummies, and year dummies, are incorporated and produce findings that are broadly consistent with prior literature. The study contributes to the thin but growing body of evidence on ESG governance in sub-Saharan Africa and offers actionable policy recommendations for regulators and corporate boards in Nigeria and comparable frontier markets.

Zenodo (CERN European Organization for Nuclear Research)
Nigerian Defence Academy (NG)
Gender equality
Openalex Percentile: Top 3%
Corporate Social Responsibility Reporting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.