The influence of green supply chain management on manufacturing enterprise performance: moderating effect of collaborative communication

Abstract

Obtaining real and effective data from partners have a great significance for enterprises. Collaborative communication is an important bridge to realize the sharing of information and resource. This paper analyzed the impact of green supply chain management on enterprise environmental and economic performance based on the survey results of 162 manufacturing enterprises in China and discussed the moderating effect of collaborative communication from communication frequency and communication climate two dimensions. The results show that: (1) communication frequency significantly moderates the positive impact of internal environmental management on environmental performance, but it is insignificant on economic performance. Conversely, communication climate moderates the positive impact of internal environmental management on environmental and economic performance; (2) two dimensions of collaborative communication moderates the positive impact of external collaboration on environmental and economic performance. The conclusions conveyed in this paper emphasize the importance of collaborative communication in green supply chain management and provide some managerial implications.

Keywords:

• Green supply chain management
• enterprise performance
• collaborative communication
• manufacturing enterprise

Acknowledgement

The authors thank anonymous referees and Editors for their very constructive comments on the initial draft of the article.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Major Projects in Philosophy and Social Science Research of the Ministry of Education of China [Grant No. 14JZD031]; The National Natural Science Foundation of China [Grant Nos. 71303029; 71734001; 71473203, 71471001, 41771568, 71533004]; Liaoning province Social Science Fund Project [L16BJL002]; The National Social Science Fundation Project [17BGL266]; The Fundamental Research Funds for the Dalian University of Technology [DUT18RW210]; The National Key Research and Development Program of China [Grant No. 2016YFA0602500]. Liaoning Provincial Economic and Social Development Project [2019lslktyb-011]. However, authors are responsible for any error remains.

Notes on contributors

Xiongfeng Pan

Xiongfeng Pan is an associate professor of Faculty of Management and Economics, Dalian University of Technology of China. He obtained his Doctor degree from Dalian University of Technology majoring in Management Science and Engineering in 2007. He specializes in Quantitative economic analysis and has published more than 30 research papers including Sustainability, Ecological Indicator, Environmental Engineering and Management, and Journal of Cleaner Production, etc.

Xianyou Pan

Xianyou Pan is a PhD candidate in the Faculty of Management and Economics, Dalian University of Technology of China. He obtained his master's degree at College of Economics and Management, Shanghai University of Electric Power of China in 2016. His study mainly focuses on areas including efficiency evaluation and decision-making modeling. He has published his research in Journal of Cleaner Production.

Malin Song

Malin Song was born in Bengbu, China in 1972. He received his PhD from the School of Management, University of Science and Technology of China, Hefei. He is a professor of Anhui University of Finance and Economics and Director of the Research Center of Statistics for Management, Anhui University of Finance and Economics. His primary research fields include Environmental Economics and System Modeling and Analysis. He is the corresponding author and can be contacted at: [email protected].

Ranran Guo

Ranran Guo received her Bachelor’s degree from Department of Business, Hefei University of Technology, Xuancheng Campus. Now, she is a Master Student at Faculty of Management and Economics, Dalian University of Technology of China. Her research interesting focuses on the innovation management.