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The impact of green supply chain management practices on environmental performance during COVID-19 period: the case of discretionary companies in the G-20 countries
Benchmarking-an International Journal ; : 27, 2022.
Article in English | English Web of Science | ID: covidwho-1883088
ABSTRACT
Purpose This study investigates the impact of green supply chain management (GSCM) practices on environmental performance in firms operating in the discretionary sector in the G20 countries. The sample covers 749 firms for the period 2010-2020. Design/methodology/approach This study combines qualitative and quantitative data to examine the impact of the implementation of GSCM on accounting performance measured by the operating margin (OM) and return on assets (ROA). The authors also moderate the effects of Six Sigma and quality management (QM) and ISO 9000 and control for firm variables and COVID 19. Findings Using a panel data regression and structural equation modeling (SEM), results indicate that discretionary firms with internal solid GSCM practices combined with external environmental monitoring of suppliers are likely to outperform their peers in environmental issues. Using hierarchical regression, results indicate that both ISO 9000 and S&QM have moderating effects at some level of performance. Furthermore, environmental performance is positively correlated with accounting performance. This study contributes to the literature by addressing the impact of GSCM and the importance of reinforcing green and social regulations to protect the planet. Originality/value The paper is one of the first to measure GSCM triple components and account for COVID-19 in the context of discretionary companies and G20 countries. It highlights the impact of green initiatives to cope with major disruptions and decrease pollution and environmental disasters.
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Full text: Available Collection: Databases of international organizations Database: English Web of Science Type of study: Experimental Studies Language: English Journal: Benchmarking-an International Journal Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: English Web of Science Type of study: Experimental Studies Language: English Journal: Benchmarking-an International Journal Year: 2022 Document Type: Article