Abstract
This study explores the impact of green supply chain management on corporate performance, focusing on environmental, economic, operational, and social outcomes. Using Meta-Analytic Structural Equation Modeling, we analyzed data from 98 quantitative studies conducted since 2001. Our findings demonstrate that green supply chain management practices significantly enhance corporate performance. We also identify key moderating factors, such as industry diversity, company size, geographical location, economic development, cultural level, and logistics performance, that influence the effectiveness of green supply chain management. The study highlights the importance of tailoring green supply chain management initiatives to specific industry and regional contexts, providing actionable insights and policy recommendations for promoting sustainable development in the Carbon Trading Era.
| Original language | English |
|---|---|
| Article number | 144099 |
| Journal | Journal of Cleaner Production |
| Volume | 481 |
| DOIs | |
| Publication status | Published - 25 Nov 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
Keywords
- Corporate performance
- Green supply chain management
- Meta-Analysis—Structural equation modeling (MASEM)
- Moderating factors
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