Econometric panel data modeling of corporate carbon emission disclosure: Financial and environmental determinants in the mining industry
企業の炭素排出開示の計量経済パネルデータモデリング：鉱業における財務的・環境的要因 (AI 翻訳)
Gilang Surya Pratama, Rilla Gantino
🤖 gxceed AI 要約
日本語
本研究は、インドネシア証券取引所上場の鉱業企業40社（2018-2024年）のパネルデータを用いて、財務業績（ROE）と環境業績（PROPER評価）が炭素排出開示に与える影響を分析。固定効果モデルの結果、両者とも開示を有意に促進し、企業規模が環境業績と開示の関係を強化することを示した。新興国における炭素開示の決定要因を実証した点が貢献。
English
Using panel data from 40 Indonesian mining companies (2018-2024), this study examines how financial performance (ROE) and environmental performance (PROPER rating) affect carbon emission disclosure. Fixed effects models show both significantly increase disclosure, and firm size strengthens the effect of environmental performance. The findings provide empirical evidence on disclosure determinants in an emerging economy.
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
本論文はインドネシアの鉱業を対象としているが、日本のSSBJや有報における炭素開示の実務において、新興国子会社の開示行動を理解するための参考となる。また、企業規模と環境ガバナンスの相互作用は、日本の大手鉱業企業の開示戦略にも示唆を与える。
In the global GX context
This study contributes to the global GX literature by providing empirical evidence on carbon disclosure determinants in an emerging economy mining context. It complements ISSB-driven disclosure research by highlighting the roles of financial capacity and environmental governance, which are relevant for multinational firms and investors assessing transparency in carbon-intensive sectors worldwide.
👥 読者別の含意
🔬研究者:Researchers studying carbon disclosure determinants can use the panel data methodology and findings for comparative studies across countries and industries.
🏢実務担当者:Sustainability teams in mining companies can leverage the insights on how financial and environmental performance drive disclosure, informing internal reporting strategies.
🏛政策担当者:Regulators in emerging economies may use the evidence to design disclosure mandates that consider firm size and environmental ratings.
📄 Abstract（原文）
Background: The growing urgency of climate change mitigation has intensified global attention on corporate transparency in carbon emission reporting. Companies operating in carbon-intensive industries, particularly the mining sector, face increasing pressure from regulators, investors, and the public to disclose environmental impacts in a systematic and accountable manner. However, empirical evidence explaining the determinants of corporate carbon emission disclosure remains limited, especially in emerging economies where sustainability reporting practices are still evolving. Aims: This study aims to develop an econometric panel data model to examine the influence of financial performance and environmental performance on corporate carbon emission disclosure, while also assessing the moderating role of firm size in strengthening disclosure behaviour. Methods: The research employs a quantitative approach using panel data econometric modelling. The dataset includes 40 mining companies listed on the Indonesia Stock Exchange during the period 2018–2024, generating 280 firm-year observations. Carbon emission disclosure is measured using a disclosure index, financial performance is proxied by return on equity, environmental performance is represented by the PROPER rating, and firm size is measured by the natural logarithm of total assets. The analysis applies a Fixed Effect Model with robust standard errors to control for unobserved firm heterogeneity. Result: The results show that financial performance and environmental performance significantly increase corporate carbon emission disclosure. In addition, firm size strengthens the relationship between environmental performance and disclosure intensity. Conclusion: The findings demonstrate that carbon disclosure is shaped by financial capability, environmental governance, and organizational scale. Firms with stronger financial capacity and better environmental performance tend to disclose carbon information more transparently, while larger firms respond more strongly to environmental accountability pressures. These results contribute to data-driven sustainability research and highlight the importance of strengthening environmental governance and transparent carbon reporting in emission-intensive industries
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.58524/jasme.v6i1.1083first seen 2026-05-15 18:41:20
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