The Relationship Between Corporate Governance Proxies and Environmental Disclosure: An Empirical Analysis

This study aims to examine the impact of corporate governance on environmental disclosure, with firm size and leverage as control variables. A quantitative research method is employed, utilizing secondary data in the form of annual financial reports from companies listed on the Indonesia Stock Exchange (IDX). The research focuses on energy sector companies listed on the IDX from 2020 to 2022. Data analysis is conducted using statistical techniques, specifically multiple linear regression. Logistic regression analysis is performed using SPSS V22 software. The sample is selected through purposive sampling, based on specific criteria. The study spans a four-year period from 2020 to 2022, involving 35 companies and a total of 105 observations. The results, obtained through multiple regression analysis, indicate the following: institutional ownership does not influence environmental disclosure, independent commissioners have no impact on environmental disclosure, the audit committee has a significant effect on environmental disclosure, firm size does not affect environmental disclosure, and leverage also has no impact on environmental disclosure.

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Journal
JRAK Jurnal Riset Akuntansi dan Komputerisasi Akuntansi
Published
2025-03-14
DOI
https://doi.org/10.33558/jrak.v16i1.10725
Primary Topic
Impact of AI and Big Data on Business and Society
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article
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article

The Relationship Between Corporate Governance Proxies and Environmental Disclosure: An Empirical Analysis

Neneng Lasmita Susanti, Ade Samsul Saripudin
JRAK Jurnal Riset Akuntansi dan Komputerisasi Akuntansi
Impact of AI and Big Data on Business and Society
article

The Relationship Between Corporate Governance Proxies and Environmental Disclosure: An Empirical Analysis

Neneng Lasmita Susanti, Ade Samsul Saripudin
article en

Abstract

This study aims to examine the impact of corporate governance on environmental disclosure, with firm size and leverage as control variables. A quantitative research method is employed, utilizing secondary data in the form of annual financial reports from companies listed on the Indonesia Stock Exchange (IDX). The research focuses on energy sector companies listed on the IDX from 2020 to 2022. Data analysis is conducted using statistical techniques, specifically multiple linear regression. Logistic regression analysis is performed using SPSS V22 software. The sample is selected through purposive sampling, based on specific criteria. The study spans a four-year period from 2020 to 2022, involving 35 companies and a total of 105 observations. The results, obtained through multiple regression analysis, indicate the following: institutional ownership does not influence environmental disclosure, independent commissioners have no impact on environmental disclosure, the audit committee has a significant effect on environmental disclosure, firm size does not affect environmental disclosure, and leverage also has no impact on environmental disclosure.

JRAK Jurnal Riset Akuntansi dan Komputerisasi AkuntansiVol. 16(1)
Universitas Islam 45 Bekasi (ID)
Openalex Percentile: Top 94%
Impact of AI and Big Data on Business and Society
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The Relationship Between Corporate Governance Proxies and Environmental Disclosure: An Empirical Analysis — Neneng Lasmita Susanti, Ade Samsul Saripudin · JRAK Jurnal Riset Akuntansi dan Komputerisasi Akuntansi (2025) | TGRS Research Map | TGRS