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Carbon Emission Disclosure, Eco-Efficiency, Enterprise Risk Management Disclosure, and Firm Value: Evidence from IDX80 Companies in Indonesia

炭素排出開示、エコ効率、エンタープライズリスクマネジメント開示、および企業価値:インドネシアIDX80企業の証拠 (AI 翻訳)

Zikra Makhriza, Dini Wahjoe Hapsari

Indonesian Journal of Taxation and Accounting📚 査読済 / ジャーナル2026-06-10#ESG対象セクター: cross_sector
DOI: 10.66053/ijota.v4i2.779
原典: https://doi.org/10.66053/ijota.v4i2.779

🤖 gxceed AI 要約

日本語

本研究は、2020~2024年のインドネシアIDX80企業を対象に、炭素排出開示、エコ効率(ISO14001認証)、ERM開示が企業価値(トービンのQ)に与える影響を検証した。パネルデータ固定効果モデルの結果、モデル全体は有意だが、個々の開示変数は企業価値と有意な関連を示さなかった。また、収益性やレバレッジなどの財務変数も有意ではなかった。この結果は、非財務開示が価値関連性を持つためには、信頼性とパフォーマンス連動性が必要であることを示唆している。

English

This study examines the impact of carbon emission disclosure, eco-efficiency (ISO 14001 certification), and enterprise risk management disclosure on firm value (Tobin's Q) for IDX80 companies in Indonesia from 2020 to 2024. Using panel data fixed-effects models, the overall model is significant, but individual disclosure variables are not significantly associated with firm value. Financial controls like profitability and leverage are also insignificant. The findings suggest that non-financial disclosure must be credible and linked to performance to become value-relevant.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

インドネシア市場の実証結果は、日本企業やSSBJの開示実務にも示唆を与える。開示が企業価値に結びつくには、単なる開示ではなく信頼性と成果連動性が重要であることを示している。

In the global GX context

This study contributes to the global debate on the value relevance of non-financial disclosure, particularly in emerging markets. The insignificant findings highlight that disclosure frameworks need to be credible, measurable, and performance-linked to enhance market relevance.

👥 読者別の含意

🔬研究者:Provides empirical evidence on non-financial disclosure value relevance in an emerging market, with non-significant results that spur further investigation into contextual factors.

🏢実務担当者:Corporate sustainability teams should note that disclosure alone may not increase firm value; linking disclosure to tangible performance outcomes is critical.

🏛政策担当者:Regulators in emerging markets may need to ensure that disclosure frameworks are credible and measurable to become value-relevant for investors.

📄 Abstract(原文)

Purpose – This study examines the effect of carbon emission disclosure, eco-efficiency, and enterprise risk management disclosure on firm value in IDX80 companies on the Indonesia Stock Exchange during 2020–2024, with profitability, leverage, and firm size controls. Grounded in signaling and legitimacy theories, this study addresses inconsistent evidence regarding the value relevance of non-financial disclosure. Methods – This quantitative study uses panel data from annual and sustainability reports. The sample comprises 31 companies and 155 firm-year observations selected through purposive sampling. Firm value is measured using Tobin’s Q, carbon emission disclosure using seven GRI 305 items, eco-efficiency using ISO 14001 certification, and enterprise risk management disclosure using 20 COSO ERM items. ROA, DER, and firm size are included as controls. Data were analyzed using EViews 13 with a Fixed-Effects Model and cross-sectionally clustered White period-robust standard errors. Findings – The overall fixed-effect model is statistically significant, with an adjusted R-squared of 86.45%, indicating explanatory power after accounting for predictors, controls, and fixed effects. However, CED, EE, and ERMD do not have significant individual effects on firm value. ROA, DER, and firm size are insignificant. The robustness check confirms that these disclosure variables remain insignificant, while DER has a negative effect post-pandemic. Research implications – The findings indicate that non-financial disclosure must be credible, measurable, and linked to performance outcomes to become value-relevant. Originality – This study integrates three non-financial disclosure variables into a firm value model for IDX80 companies, includes financial control variables, and conducts post-pandemic robustness testing.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。