<p>This study investigates the impact of green logistics performance (GLP) on sustainability indicators—environmental quality (EQ), economic growth (EG), and international trade (INT) in African countries. Using a Cross-Sectional Autoregressive Distributive Lags (CS-ARDL) approach, the research analyzes panel data from 2007 to 2023, incorporating control variables such as human capital, population growth, and renewable energy consumption. The findings reveal a positive long-run impact of GLP on EQ, EG, and INT, indicating that green logistics practices can enhance environmental quality, drive economic growth, and improve trade competitiveness. In the short run, GLP positively influences INT, suggesting immediate trade benefits. The causality test results show bidirectional relationships between GLP and EQ, as well as between logistics performance (LP) and EQ, EG, and INT. Unidirectional causality is observed from EG and INT to GLP. The study underscores the importance of investing in green logistics infrastructure and adopting eco-friendly supply chain practices to achieve sustainable development. By focusing on the African context, the research addresses a significant gap in the literature and provides tailored recommendations for policymakers and business leaders to prioritize green logistics initiatives, fostering both economic and environmental sustainability. The findings contribute to the Triple Bottom Line (TBL) framework by empirically validating the dynamic relationships between GLP and key sustainability indicators.</p>

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Effect of green logistics performance on sustainability in african countries

  • Ali Umar Ahmad,
  • Jagan Jeevan,
  • Siti Marsila Mhd Ruslan

摘要

This study investigates the impact of green logistics performance (GLP) on sustainability indicators—environmental quality (EQ), economic growth (EG), and international trade (INT) in African countries. Using a Cross-Sectional Autoregressive Distributive Lags (CS-ARDL) approach, the research analyzes panel data from 2007 to 2023, incorporating control variables such as human capital, population growth, and renewable energy consumption. The findings reveal a positive long-run impact of GLP on EQ, EG, and INT, indicating that green logistics practices can enhance environmental quality, drive economic growth, and improve trade competitiveness. In the short run, GLP positively influences INT, suggesting immediate trade benefits. The causality test results show bidirectional relationships between GLP and EQ, as well as between logistics performance (LP) and EQ, EG, and INT. Unidirectional causality is observed from EG and INT to GLP. The study underscores the importance of investing in green logistics infrastructure and adopting eco-friendly supply chain practices to achieve sustainable development. By focusing on the African context, the research addresses a significant gap in the literature and provides tailored recommendations for policymakers and business leaders to prioritize green logistics initiatives, fostering both economic and environmental sustainability. The findings contribute to the Triple Bottom Line (TBL) framework by empirically validating the dynamic relationships between GLP and key sustainability indicators.