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The impact of green supply chain management on enterprise environmental performance: a meta-analysis

Purpose The purpose of this study is to systematically analyze the relationships between green supply chain management (GSCM), enterprise environmental performance (EEP) and the moderating role of the market environment, regional culture, sampling area and industry type. Design/methodology/approach...

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Bibliographic Details
Published in:Chinese management studies 2023-01, Vol.17 (2), p.274-289
Main Authors: Fu, Lei, Yang, Daojian, Liu, Suxia, Mei, Qiang
Format: Article
Language:English
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Summary:Purpose The purpose of this study is to systematically analyze the relationships between green supply chain management (GSCM), enterprise environmental performance (EEP) and the moderating role of the market environment, regional culture, sampling area and industry type. Design/methodology/approach This study constructed a comprehensive theoretical model and used a meta-analysis of 65 independent samples (total sample size: 14,196) to examine the relationships between GSCM and EEP. Findings The results show that GSCM has a moderate positive impact on EEP. Moreover, all dimensions of GSCM positively influence EEP, and internal environmental management has the most significant effect. Additionally, these two relationships can be moderated by the market environment, regional culture, sampling area and industry type. Originality/value This study reveals that GSCM can help improve EEP and draw more general and regular conclusions. This study expands the application of meta-analysis methods in GSCM, partly avoiding the limitations of traditional empirical research methods. In addition, the conclusion of this study explains the reasons for the differences in different research results: some scholars did not incorporate market environment, regional culture, sampling area and industry type as moderators in the research process, thus leading to divergent conclusions in the relationship between GSCM and EEP. Therefore, the research conclusion enriches the theoretical research boundary of GSCM.
ISSN:1750-614X
1750-6158
1750-614X
DOI:10.1108/CMS-02-2021-0048