The impact of green supply chain management on enterprise environmental performance: a meta-analysis
ISSN: 1750-614X
Article publication date: 30 March 2022
Issue publication date: 20 January 2023
Abstract
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.
Keywords
Acknowledgements
This work is supported by the National Natural Science Foundation of China under Grant 72074099, 71874072 and 72004081.
Citation
Fu, L., Yang, D., Liu, S. and Mei, Q. (2023), "The impact of green supply chain management on enterprise environmental performance: a meta-analysis", Chinese Management Studies, Vol. 17 No. 2, pp. 274-289. https://doi.org/10.1108/CMS-02-2021-0048
Publisher
:Emerald Publishing Limited
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