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Cited by 357

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Government subsidy and corporate green innovation - Does board governance play a role?

Xia, Li, Gao, Shuo, Wei, Jiuchang, Ding, Qiying·2022·Energy Policy

Abstract

This study attempts to uncover the curvilinear relationship between government subsidies and corporate green innovation in China's new energy vehicle (NEV) industry, and investigate the moderating effect of board governance within this relationship. Using a strong balanced panel data from all NEV firms that have acquired government subsidy (GS) from 2013 to 2018, this study found government subsidy exhibit a U-shaped relationship to corporate green innovation (CGI). It also reveals that some facets of board governance (BG) significantly enhanced this U-shaped relationship, including board gender diversity, board age diversity, CEO duality and board educational level. Our study specifically suggests that policymakers should incorporate such diversity indicators as the proportion of female directors into investment evaluation standards (e.g. corporate governance, environmental, social and governance, and sustainable investment), in order to promote environmental benefits and societal equality and enhance women's empowerment.

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Metadata

Authors
Xia, L., Gao, S., Wei, J., & Ding, Q.
Venue
Energy Policy
Publisher
Elsevier BV
Published
2022-02
Volume
161
Pages
112720
ISSN
0301-4215 (ISSN-L)
OpenAlex
W3211683470
Cited by
357
References
77
FWCI
50.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Government subsidy and corporate green innovation - Does board governance play a role? https://app.cochat.ai/papers/10.1016/j.enpol.2021.112720
The paper
Xia, L., Gao, S., Wei, J., & Ding, Q. (2022). Government subsidy and corporate green innovation - Does board governance play a role? Energy Policy. https://doi.org/10.1016/j.enpol.2021.112720

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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.