Skip to main navigation menu Skip to main content Skip to site footer

Research Article

Vol. 1 No. 2 (2025): International Journal of Multidisciplinary Research

A Review of Environmental Responsibility of Logistics Enterprises

  • Fan Wu
  • Yuran Jin
DOI
https://doi.org/10.65231/ijmr.v1i2.51
Submitted
December 3, 2025
Published
2025-11-30 — Updated on 2025-12-07
Versions

Abstract

This paper reviews the evaluation of environmental responsibility fulfillment by logistics enterprises and the research on the construction of related index systems. In terms of evaluation, it is closely related to the assessment of corporate social responsibility. After the "triple bottom line" theory was proposed, the importance of environmental responsibility assessment has become increasingly prominent. The construction of the indicator system can be divided into two paths: one is not to rely on existing mature theories, and the other is to depend on mature theories such as the "triple bottom line" and ESG. Among them, the "triple bottom line" theory is widely applied, and some scholars have expanded or screened its dimensions. ESG theory is also applied to related performance evaluations, while the data envelopment rule provides guidance for the construction of input-output indicator systems. Based on the above review, the article puts forward further research ideas.

References

  1. You, C. H. (2025). Research on the Coordinated Development of Regional Logistics and Regional Economy in Fujian Province under the Background of High-Quality Development. Journal of Wuhan Polytechnic University, 39(5), 40-45.
  2. RICHNáK, P. & GUBOVá, K. (2021). Green and reverse logistics in conditions of sustainable development in enterprises in Slovakia . Sustainability, 13(2): 581.
  3. Bowen, H. R. (1953). Social Responsibilities of the Businessman. New York: Harper & Brothers.
  4. Elkington, J.(1998). Partnerships from cannibals with forks: The triple bottom line of 21st‐century business. Environmental quality management, 8(1): 37-51.
  5. Luo, J. Q., Bi, M. X., & Kuang, H. B. (2021). Design of Evaluation Scheme for Social Responsibility of China's Transportation Enterprises from the Perspective of Green Supply Chain Management. Sustainability,13(6).
  6. Quan,C. G.,et al.(2022).Comprehensive efficiency evaluation of social responsibility of Chinese listed logistics enterprises based on DEA-Malmquist model. Operations Management Research, 15(3-4): 1383-98.
  7. Choi, Y. (2012). Green management of logistics enterprises and its sustainable performance in Korea. African Journal of Business Management, 6(4): 1475.
  8. Fathi, A., Karimi, B., & Saen, R. F. (2022). Sustainability assessment of supply chains by a novel robust two-stage network DEA model: a case study in the transport industry. Soft Computing, 26(13): 6101-18.
  9. Fathi, A., & Saen, R. F. (2024). Sustainability evaluation of transportation supply chains by common set of weights-network DEA and Shannon’s entropy in the presence of zero inputs. Environment, Development and Sustainability, 26(3): 7999-8025.
  10. FäRE R., & Grosskopf, S., & Roos, P. (1998). Malmquist productivity indexes: a survey of theory and practice. Index numbers: Essays in honour of Sten Malmquist. Springer. 1998: 127-90.
  11. Mavi, R. K., Fathi, A., Saen, R. F., & Mavi, N. K. (2019).Eco-innovation in transportation industry: A double frontier common weights analysis with ideal point method for Malmquist productivity index. Resources, Conservation and Recycling, 147: 39-48.
  12. Kumar, A., & Anbanandam, R. (2019). Environmentally responsible freight transport service providers' assessment under data-driven information uncertainty. Journal of Enterprise Information Management, 34(1): 506-42.
  13. Fulzele, V., & Shankar, R. (2023). Performance measurement of sustainable freight transportation: a consensus model and FERA approach. Annals of Operations Research, 324(1-2): 501-42.
  14. Prabodhika, A., et al. (2022). Selecting the best logistics service providers by evaluating the sustainability performance using AHP and linear programming problem. International Journal of Business Performance and Supply Chain Modelling, 13(4): 359-79.
  15. Zhang, B. H., & Mohammad, J. (2024). The effects of sustainability innovation and supply chain resilience on sustainability performance: Evidence from China's cold chain logistics industry. Cogent Business & Management, , 11(1): 2353222.
  16. Daimi, S., & Rebai, S. (2023). Sustainability performance assessment of Tunisian public transport companies: AHP and ANP approaches . Socio-Economic Planning Sciences, 89: 101680.
  17. Kumar, A., & Anbanandam, R. (2022). Assessment of environmental and social sustainability performance of the freight transportation industry: An index-based approach . Transport Policy, 124: 43-60.
  18. Huang, S. Z. (2021). The three theoretical pillars supporting ESG . Accounting Monthly, 19: 3-10.
  19. Zhang, Y., Xin, Z. & Gan, G. (2024). Evaluating the Sustainable Development Performance of China’s International Commercial Ports Based on Environmental, Social and Governance Elements. Sustainability (Switzerland), 16(10): 3968.
  20. Yi, X. (2025). Compliance-by-Design Micro-Licensing for AI-Generated Content in Social Commerce Using C2PA Content Credentials and W3C ODRL Policies.
  21. Li, B. (2025, September). AD-STGNN: Adaptive diffusion spatiotemporal GNN for dynamic urban fire vehicle dispatch and emergency response. In Third International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2025) (Vol. 13791, pp. 810-815). SPIE.
  22. Huang, J., & Qiu, Y. (2025). LSTM‐Based Time Series Detection of Abnormal Electricity Usage in Smart Meters.
  23. Qi, R. (2025). Interpretable Slow-Moving Inventory Forecasting: A Hybrid Neural Network Approach with Interactive Visualization.
  24. Zhang, T. (2025). A Knowledge Graph-Enhanced Multimodal AI Framework for Intelligent Tax Data Integration and Compliance Enhancement. Frontiers in Business and Finance, 2(02), 247-261.
  25. Gu, Y., Lin, H., & Zhao, W. Li, M..., & Wang, X.(2025). The Ethical Balance Reconstruction of Green Finance Empowered by Computer Technology. International Journal of Accounting and Economics Studies, 12(6), 580-586.
  26. Gu, Y., Pan, D., Yang, N., & Wang, X. (2025). Research on Storage and Transportation Cost Control and Technological Breakthroughs from the Perspective of Global Hydrogen Energy Development. Journal of Sustainable Built Environment, 2(5), 33-38.
  27. Li, B. (2025). From Maps to Decisions: A GeoAI Framework for Multi-Hazard Infrastructure Resilience and Equitable Emergency Management. American Journal Of Big Data, 6(3), 139-153.
  28. Gu, Y., & Wang, Y. (2025). The Impact of Artificial Intelligence on Labor Market Income Inequality. International Journal of Advanced Science, 1(2), 8-13.
  29. Gu, Y., Wang, Y., Wang, X., & Wang, Z. (2025). Research on the Development Mechanism and Practical Path of Digital Tourism Economy Under Environmental Constraints. Journal of Global Trends in Social Science, 2(10).