Disparities in ESG reporting by emerging Chinese enterprises: evidence from a global financial center
Notice bibliographique
Résumé
Purpose This study aims to examine the potential disparities in environmental, social and governance (ESG) reporting among emerging Chinese enterprises (ECEs). ECEs are subject to a set of internationally oriented ESG requirements imposed by the regulator of a global financial center that is exposed to diverse stakeholders. The authors also consider ECEs’ underlying institutional ownership, which exhibits influence over governance as a salient component of ESG. Design/methodology/approach This study is based on a random sample of 500 ECEs listed on the Stock Exchange of Hong Kong (SEHK) – the global financial center of China. ESG reporting is measured by using the key performance indicators of the SEHK’s ESG Reporting Guide. The data are collected from annual reports that contain ESG disclosures or standalone ESG/sustainability reports published during the 2018–2019 fiscal year. The authors adopt binary logistic regressions and Chi-square tests to test the proposed hypotheses. Findings The authors find that ECEs’ heterogeneous institutional ownership and the extent of overseas development are associated with their disclosures on climate change. ECEs with international institutional ownership are found to be a significant factor for reporting aligned with the United Nations sustainable development goals (SDGs), using external assurance and stakeholder engagement, rather than state-owned enterprises (SOEs) and private companies. The authors also document that the presence of independent nonexecutive directors (INEDs) is significantly associated with reporting on meeting the SDGs and its use of external assurance, while the presence of female directors is a significant factor influencing disclosure emphasis on energy-saving initiatives. Practical implications The authors provide an empirical study of ECEs beyond the focus on SOEs that are expected to produce comprehensive ESG reporting in addressing a broader international community of stakeholders apart from the regime of their home country. The authors document the pertinence of ECEs’ institutional ownership and governance diversity to ESG reporting. In particular, international stakeholders need to recognize such underlying differences among ECEs rather than viewing them as a homogeneous group. Social implications The authors suggest that policymakers and practitioners in Asian countries consider increasing the presence of INEDs and gender diversity on ECE boards to enhance ESG reporting, which reinforces the findings of prior international studies suggesting such governance practices. Originality/value This study contributes to the existing body of knowledge about ESG reporting by documenting the underlying heterogeneity within ECEs, which are subject to a set of internationally oriented standards, as evidenced by their disparities in ESG reporting.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».