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Mechanism of governance pressures, green production and collaboration on the performance of maritime supply chain: evidence from the moderating effect of government subsidies1

Citation

Han, B and Zheng, M and Fan, L and Shi, W, Mechanism of governance pressures, green production and collaboration on the performance of maritime supply chain: evidence from the moderating effect of government subsidies1, Research in Transportation Business & Management, 43, (2022) Article 100820. ISSN 2210-5395 (2022) [Refereed Article]


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2022 Elsevier Ltd.

DOI: doi:10.1016/j.rtbm.2022.100820

Abstract

This paper provides an in-depth analysis of the combined mechanism of external governance pressures, green production and collaboration on maritime supply chain performance and examines the moderating effect of government subsidies. A theoretical model is constructed for the green transformation of the maritime supply chain by considering both external pressures and internal pushing forces. We collect data through a survey of management staff and frontline operators of maritime supply chain enterprises in China and apply Structural Equation Modeling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA) to test the theoretical model. We found that coercive pressure is not sufficient to truly develop green supply chain practices in enterprises if there is no government subsidy, as this leads to compliant rather than innovative practice. Thus, policy makers need to be aware that coercive pressure alone does not lead to continuous improvement of environmental and economic performance. In addition, green production and collaboration do not directly produce economic performance, but indirectly improve it through environmental performance. This study provides both theoretical and pracThis paper provides an in-depth analysis of the combined mechanism of external governance pressures, green production and collaboration on maritime supply chain performance and examines the moderating effect of government subsidies. A theoretical model is constructed for the green transformation of the maritime supply chain by considering both external pressures and internal pushing forces. We collect data through a survey of management staff and frontline operators of maritime supply chain enterprises in China and apply Structural Equation Modeling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA) to test the theoretical model. We found that coercive pressure is not sufficient to truly develop green supply chain practices in enterprises if there is no government subsidy, as this leads to compliant rather than innovative practice. Thus, policy makers need to be aware that coercive pressure alone does not lead to continuous improvement of environmental and economic performance. In addition, green production and collaboration do not directly produce economic performance, but indirectly improve it through environmental performance. This study provides both theoretical and practical references for maritime supply chain enterprises to deal with the increasingly stringent environmental regulations and improve their economic performance through green production transformation.tical references for maritime supply chain enterprises to deal with the increasingly stringent environmental regulations and improve their economic performance through green production transformation.

Item Details

Item Type:Refereed Article
Keywords:maritime supply chain, green production and collaboration, government subsidies, structural equation modeling, fuzzy set qualitative comparative analysis
Research Division:Commerce, Management, Tourism and Services
Research Group:Transportation, logistics and supply chains
Research Field:Maritime transportation and freight services
Objective Division:Transport
Objective Group:Water transport
Objective Field:International sea freight transport (excl. live animals, food products and liquefied gas)
UTAS Author:Fan, L (Mr Lidong Fan)
UTAS Author:Shi, W (Dr Wenming Shi)
ID Code:149737
Year Published:2022
Deposited By:Maritime and Logistics Management
Deposited On:2022-04-08
Last Modified:2022-06-20
Downloads:0

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