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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Green innovation and firm performance: Evidence from listed companies in China

Zhang, Dayong, Rong, Zhao, Ji, Qiang·2019·Resources, Conservation and Recycling

Abstract

Abstract This paper focuses on how green patenting influences a firm’s subsequent performance. By investigating listed manufacturing firms in China for the 2000–2010 period, we find a positive and significant relationship between green patenting and firm performance. Moreover, our research reveals that green growth is mainly driven by green utility-model patents and that this positive relationship only exists among state-owned enterprises (SOEs), which are more capable of leveraging green innovation through their close relationship with the government. Furthermore, the positive relationship is found to exist primarily after 2006, when the government began to provide formal legislative support to green industry.

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Crossref · 10.1016/j.resconrec.2019.01.023

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Metadata

Authors
Zhang, D., Rong, Z., & Ji, Q.
Venue
Resources, Conservation and Recycling
Publisher
Elsevier BV
Published
2019-05
Volume
144
Pages
48-55
ISSN
0921-3449 (ISSN-L)
OpenAlex
W2914201499
Cited by
775
References
2
FWCI
76.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Green innovation and firm performance: Evidence from listed companies in China. https://app.cochat.ai/papers/10.1016/j.resconrec.2019.01.023
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Zhang, D., Rong, Z., & Ji, Q. (2019). Green innovation and firm performance: Evidence from listed companies in China. Resources, Conservation and Recycling. https://doi.org/10.1016/j.resconrec.2019.01.023

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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.