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新興国におけるコーポレートガバナンス、ESG格付、炭素報告、財務パフォーマンスと制度の質:調和済み企業年次データセット

Corporate Governance, ESG Ratings, Carbon Reporting, Financial Performance and Institutional Quality in Emerging Markets: A Harmonised Firm-Year Dataset (原題)

REINDOLPH OSEI-ANIM

Figshareデータセット2026-11-09#ESG経営インパクト: 調達リスク対象セクター: cross_sector
DOI: 10.6084/m9.figshare.34958590
原典: https://doi.org/10.6084/m9.figshare.34958590

🤖 gxceed AI 要約

日本語

東南アジア5カ国と中南米5カ国の企業ガバナンス・財務データに、ESG格付、炭素報告、世界銀行のガバナンス指標を統合した調和パネルを構築した。全体で42,076企業年次観測(2012–2024)、主要分析サンプルは624社・2,641観測(2014–2022)。炭素変数は単位や報告境界が未検証であり、報告値として扱う必要がある。再現スクリプトと変数定義を含む研究パッケージとして公開される。

English

A harmonised firm-year dataset combining corporate governance and financial data from five Southeast Asian and five Latin American countries with ESG ratings, carbon reporting and World Bank governance indicators. The full panel holds 42,076 firm-year observations (2012–2024), with a main sample of 2,641 observations from 624 firms (2014–2022). Carbon values are unverified in units and reporting boundaries and should be treated as reported, not validated, emissions. The package includes source files, model-ready data, diagnostics and reproducibility scripts.

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

新興国におけるESG格付と炭素報告の整合性を扱う基盤データであり、SSBJ・有報開示やScope3把握を進める日本企業が新興国サプライヤーの評価や投資判断に活用できる。日本を含まない点は限定的だが、ESG格付の地域間比較やデータ品質の議論に示唆を与える。

In the global GX context

Provides a cross-region empirical base for studying how ESG ratings, carbon reporting and institutional quality interact in emerging markets—directly relevant to ISSB/CSRD-driven demands for comparable, assured sustainability data beyond developed economies. Its explicit caveat on unverified carbon values speaks to the global assurance and data-quality debate.

👥 読者別の含意

🔬研究者:ESG格付・炭素報告・ガバナンス・制度品質の関係を新興国横断で検証できる再現可能なパネルデータとして活用できる。

🏢実務担当者:新興国サプライヤーや投資先のESG・炭素報告の品質限界を理解し、デューデリジェンス設計に反映できる。

🏛政策担当者:新興国における炭素報告の検証・制度整備の必要性を示す証拠として、開示規制の国際調和を議論する材料になる。

📄 Abstract(原文)

This dataset provides firm-level and country-level information for investigating relationships among corporate governance, environmental, social and governance (ESG) ratings, financial performance, carbon reporting and institutional quality in emerging markets.The dataset combines publicly deposited corporate governance and financial data from five Southeast Asian countries—Indonesia, Malaysia, the Philippines, Singapore and Thailand—and five Latin American countries—Brazil, Chile, Colombia, Mexico and Peru. It also incorporates the World Bank's 2026 Worldwide Governance Indicators.The full harmonised panel contains 42,076 firm-year observations covering 2012–2024. The main research sample consists of 2,641 firm-year observations from 624 companies covering 2014–2022.The dataset includes ESG ratings, board independence, board size, female board representation, return on assets, firm size, leverage and available environmental reporting measures. Institutional variables include Regulatory Quality, Rule of Law, Government Effectiveness, Control of Corruption, Political Stability, and Voice and Accountability.A separate Southeast Asian subsample contains 1,453 firm-year observations with recorded carbon information. The original carbon variable's measurement units and reporting boundaries have not been independently verified. Consequently, these observations should be treated as reported carbon values rather than independently validated emissions measurements.The research package includes the original source files, harmonised firm-year datasets, model-ready data, statistical summaries, diagnostic outputs, variable documentation and reproducibility scripts.The dataset is intended to support empirical research on corporate governance, ESG measurement, institutional conditions, corporate profitability and environmental reporting in emerging markets. It integrates previously published data sources, which must be acknowledged and whose redistribution conditions should be verified before public release.

🔗 Provenance — このレコードを発見したソース

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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。