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Cited by 307

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Environmental, Social and Governance Reporting in China

Weber, Olaf·2014·Business Strategy and the Environment

Abstract

What is the current state of environmental, social and governance (ESG) reporting and what is the relation between ESG reporting and the financial performance of Chinese companies? This study analyses corporate ESG disclosure in China between 2005 and 2012 by analysing the members of the main indexes of the biggest Chinese stock exchanges. After discussing theories that explain the ESG performance of firms such as institutional theory, accountability and stakeholder theory we present uni‐ and multivariate statistical analyses of ESG reporting and its relation to environmental and financial performance. Our results suggest that ownership status and membership of certain stock exchanges influence the frequency of ESG disclosure. In turn, ESG reporting influences both environmental and financial performance. We conclude that the main driver for ESG disclosure is accountability and that Chinese corporations are catching up with respect to the frequency of ESG reporting as well as with respect to the quality. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment

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Metadata

Authors
Weber, O.
Venue
Business Strategy and the Environment
Publisher
Wiley
Published
2013-07
Volume
23
Issue
5
Pages
303-317
ISSN
  • 0964-4733 (ISSN-L)
  • 1099-0836
OpenAlex
W2101088496
Cited by
307
References
4
FWCI
4.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Environmental, Social and Governance Reporting in China. https://app.cochat.ai/papers/10.1002/bse.1785
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Weber, O. (2014). Environmental, Social and Governance Reporting in China. Business Strategy and the Environment. https://doi.org/10.1002/bse.1785

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.