Data-Driven Eco-Efficiency Analysis and Improvement in the Logistics Industry in Anhui

Area of Science:

• Environmental Science
• Logistics and Supply Chain Management
• Economic Sustainability

Background:

• Ecological efficiency (eco-efficiency) in regional logistics industries (RLI) is crucial for sustainable economic development, environmental protection, and resource utilization.
• Assessing and enhancing RLI eco-efficiency is vital for balancing economic growth with ecological preservation.
• The drive towards carbon neutrality necessitates efficient and sustainable logistics operations.

Purpose of the Study:

• To develop and apply a data-driven methodology for evaluating and improving the eco-efficiency of regional logistics industries.
• To provide a robust framework for assessing RLI eco-efficiency from both static and dynamic perspectives.
• To identify key factors influencing RLI eco-efficiency to guide policy and strategic decision-making.

Main Methods:

• Applied data envelopment analysis (DEA), specifically the Banker, Charnes, and Cooper (BCC) model, under variable returns to scale assumptions.
• Utilized the Malmquist index model to assess dynamic changes in RLI eco-efficiency.
• Employed a Tobit regression model to analyze the determinants of RLI eco-efficiency.

Main Results:

• The study successfully evaluated the eco-efficiency of a regional logistics industry using a data-driven approach.
• The methodology, validated in Anhui Province, demonstrated its effectiveness in assessing static and dynamic eco-efficiency.
• The Tobit regression identified significant factors influencing eco-efficiency, providing actionable insights.

Conclusions:

• The developed data-driven approach offers a powerful tool for assessing and enhancing the eco-efficiency of regional logistics industries.
• This research provides theoretical and practical value for logistics enterprises and local governments aiming for sustainable development.
• The findings facilitate the coordination between RLI economic activities and environmental protection, supporting carbon neutrality objectives.