新興市場におけるESG格付けの確立に向けて:チュニジアの企業レベルの証拠
Towards the establishment of an ESG rating in emergent markets: firm-level evidence from Tunisia (原題)
Sina Belkhiria, Imen Bouchmel, Azhaar Lajmi, Douaa Hajbraik
🤖 gxceed AI 要約
日本語
チュニジアの55社の調査データを用い、PCAに基づくESG複合指標を構築し、企業特性がESG関与に与える影響を分析。ガバナンスと社会慣行は比較的進んでいるが、環境イニシアチブは限定的。大規模・老舗・上場・グループ所属企業ほどESGパフォーマンスが高く、制度的圧力の重要性を示す。政策・企業への示唆を提供。
English
Using survey data from 55 Tunisian firms, this study constructs a PCA-based composite ESG index aligned with the Tunis Stock Exchange framework and analyzes firm-level determinants of ESG engagement. Governance and social practices are relatively advanced, while environmental initiatives remain limited. Larger, older, listed, and group-affiliated firms show higher ESG performance, highlighting the role of institutional pressures. Offers insights for policymakers and corporate leaders in emerging markets.
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
日本ではSSBJ開示が進行中だが、新興市場のESG実践の決定要因に関する知見は、日本企業の海外子会社やサプライチェーンにおけるESG対応を考える際の参考となる。特に、制度的圧力と企業特性がESG関与に与える影響は、日本企業の新興国進出戦略に示唆を与える。
In the global GX context
This paper contributes to global ESG scholarship by providing empirical evidence from an underexplored emerging market context. It aligns with global efforts to enhance ESG disclosure frameworks and regulatory incentives, offering insights for policymakers and multinational corporations operating in similar institutional environments.
👥 読者別の含意
🔬研究者:Provides novel empirical evidence on ESG determinants in an emerging market, useful for comparative studies on institutional pressures and ESG adoption.
🏢実務担当者:Highlights the importance of firm size, listing status, and group affiliation in ESG performance, informing corporate ESG strategy in emerging markets.
🏛政策担当者:Suggests that strengthening regulatory incentives and ESG disclosure frameworks can foster more balanced ESG development in emerging economies.
📄 Abstract(原文)
This study aims to examine the determinants of environmental, social and governance (ESG) practices within Tunisian companies, in order to identify how the specific characteristics of companies influence their ESG engagement in the context of an emerging market. The analysis draws on survey data from 55 Tunisian firms across industrial, financial and consulting sectors. A principal component analysis (PCA)-based composite ESG index, aligned with the Tunis Stock Exchange framework, is constructed to assess performance across environmental, social and governance dimensions. The results reveal that governance and social practices are relatively advanced, while environmental initiatives remain limited. Larger, older, listed and group-affiliated firms exhibit higher ESG performance, suggesting that organizational resources and institutional pressures play a critical role in shaping ESG engagement in Tunisia. These findings provide insights for policymakers and corporate leaders. Strengthening regulatory incentives, improving ESG disclosure frameworks and supporting capacity-building initiatives could foster stronger environmental integration and more balanced ESG development across sectors. Furthermore, integrating ESG criteria into governance mechanisms and internal management tools appears essential to strengthen the alignment between financial performance and sustainable performance. This paper contributes to the ESG literature by providing novel empirical evidence from Tunisia, an underexplored context in sustainability research. By constructing a PCA-based composite ESG index aligned with the Tunis Stock Exchange framework and analysing firm-level determinants of ESG engagement, it offers new insights into how institutional and organizational factors shape ESG adoption in emerging economies. Finally, the study combines methodological rigor with strong contextual grounding, providing a fresh perspective on ESG dynamics in environments characterized by evolving and heterogeneous institutional pressures.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/ijdi-10-2025-0255first seen 2026-09-08 05:31:16 · last seen 2026-09-22 05:20:25
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
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。