TY  - JOUR
T1  - EVALUATING THE PERFORMANCE OF GREEN LOGISTICS VS. TRADITIONAL LOGISTICS IN EFFICIENCY AND SUSTAINABILITY ACROSS AFRICAN COUNTRIES: AN SEM ANALYSIS
AU  - Habineza, Joseph
PY  - 2025
DA  - July
Y2  - 2025
DO  - 10.17261/Pressacademia.2025.1996
JF  - PressAcademia Procedia
JO  - PAP
PB  - Suat TEKER
WT  - DergiPark
SN  - 2459-0762
SP  - 75
EP  - 81
VL  - 21
IS  - 1
LA  - en
AB  - Purpose- The paper analyzes green logistics versus traditional logistics in African countries, with a bias for efficiency (delivery time) and sustainability (CO2 emissions and energy consumption). Using SEM and Random Forest analyses, it studies the logistics firms' data across Africa. Results indicate that green logistics is superior to the traditional kind in terms of efficiency and sustainability, while technology adoption and infrastructure quality take the role of mediators in the relationship formed. The study therefore portrays green logistics as a potential panacea to Africa's logistical and environmental problems, with some policy implications.Methodology- Data from 200 logistics companies from 15 African countries were gathered through surveys from 2022 to 2024 and were complemented by secondary sources, such as the Logistics Performance Index of the World Bank and data from the International Energy Agency. The study relied on Structural Equation Modeling (SEM) to verify the relationships between logistics practices, efficiency, and sustainability, while considering technology adoption and infrastructure quality as mediators. Control variables were considered, comprising economic development, regulatory environment, and population density. Random Forest was applied so as to predict sustainability outcomes, which would also increase the reliability of the results.Findings- SEM analysis reveals green logistics significantly enhances efficiency and sustainability, reducing delivery time (β = −0.22, p  < 0.01), CO₂ emissions (β = −0.28, p  < 0.01), and energy consumption (β = −0.23, p  < 0.05). Mediation effects show technology adoption influencing delivery time (β = −0.16, p  < 0.01), CO₂ emissions (β = −0.18, p  < 0.01), and energy consumption (β = −0.15, p  < 0.05), while infrastructure quality also mediates these outcomes (β = −0.15, −0.12, −0.08, respectively). The Random Forest model confirms high predictive accuracy (R² = 0.88 for CO₂ emissions, 0.85 for energy consumption).Conclusion- The study confirms green logistics outperforms traditional logistics in efficiency and sustainability across Africa, driven by technology adoption and infrastructure quality. These findings underscore the need for a shift to sustainable logistics to tackle inefficiencies and environmental challenges. Policy recommendations include establishing green logistics corridors, improving infrastructure.
KW  - Green logistics
KW  - traditional logistics
KW  - Africa
KW  - sustainability
KW  - efficiency
CR  - Adams, K., & Mensah, S. (2022). Infrastructure challenges in African logistics: A systematic review. Journal of Transport Geography, 104, 103-115.
CR  - Bamfo, P., & Asiedu, K. (2023). Logistics challenges in Africa: A comparative analysis. International Journal of Logistics Management, 34(2), 210-225.
CR  - Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
CR  - Dey, A., LaGuardia, P., & Srinivasan, M. (2020). Green logistics: A global perspective on sustainable supply chains. International Journal of Production Economics, 227, 107-119.
CR  - DHL. (2024). Sustainable logistics in South Africa: Electric vehicle pilot project. DHL Sustainability Report, 2024, 34-40.
CR  - International Energy Agency. (2022). Energy consumption and emissions data in the transport sector. IEA Annual Report, 2022, 45-60.
CR  - Kamau, J., & Njoroge, P. (2023). Electric vehicles in Kenyan logistics: A case study of solar-powered solutions. African Journal of Science and Technology, 14(2), 101-112.
CR  - Li, X., & Zhang, Y. (2020). The impact of green logistics on operational efficiency: Evidence from Europe. Transportation Research Part E, 142, 102-115.
CR  - Liu, J., & Wang, H. (2021). Green logistics practices and their impact on sustainability. Journal of Environmental Management, 287, 112-125.
CR  - Schmidt, H., & Müller, K. (2021). Electric vehicles in German logistics: Cost and efficiency analysis. Transport Policy, 101, 67-78.
CR  - Scott, W. R. (2001). Institutions and organizations (2nd ed.). Sage Publications.
CR  - Thompson, R., & Lee, S. (2022). Research design in logistics studies: Best practices. Journal of Business Logistics, 43(2), 189-204.
CR  - World Bank. (2023). Logistics Performance Index reports: Global rankings and in- sights. World Bank Pub.
UR  - https://doi.org/10.17261/Pressacademia.2025.1996
L1  - https://dergipark.org.tr/en/download/article-file/5102600
ER  -