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Cited by 304

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Does environmental, social, and governance performance move together with corporate green innovation in China?

Zheng, Mingbo, Feng, Gen‐Fu, Jiang, Ren‐Ai, Chang, Chun‐Ping·2023·Business Strategy and the Environment

Abstract

This research investigates the bidirectional cointegration relationship between environmental, social, and governance (ESG) performance and corporate green innovation with a panel of 770 Chinese listed firms during the 2011–2020. We find that there exists a long‐run bidirectional comovement between ESG performance and corporate green innovation output. ESG performance exerts a short‐run and long‐run causal link with green innovation output. The panel cointegration test and VECM estimation also support that ESG performance moves together with green innovation output for clean industries, while ESG performance only presents a long‐run relationship to green invention patents output for pollution industries. Our findings offer important value for policymakers and enterprises to propose an effective strategy to stimulate green innovation and improve ESG score.

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Metadata

Authors
Zheng, M., Feng, G., Jiang, R., & Chang, C.
Venue
Business Strategy and the Environment
Publisher
Wiley
Published
2022-07-18
Volume
32
Issue
4
Pages
1670-1679
ISSN
  • 0964-4733 (ISSN-L)
  • 1099-0836
OpenAlex
W4285803108
Cited by
304
References
61
FWCI
52.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Does environmental, social, and governance performance move together with corporate green innovation in China? https://app.cochat.ai/papers/10.1002/bse.3211
The paper
Zheng, M., Feng, G., Jiang, R., & Chang, C. (2023). Does environmental, social, and governance performance move together with corporate green innovation in China? Business Strategy and the Environment. https://doi.org/10.1002/bse.3211

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.