基于非期望产出超效率SBM模型与Malmquist-Luenberger指数的长江经济带绿色物流效率评价研究

Research on the Evaluation of Green Logistics Efficiency in the Yangtze River Economic Belt Based on the Unanticipated Output Super-Efficiency SBM Model and the Malmquist-Luenberger Index

摘要: 在全球化和区域一体化以及“双碳”目标的推动下，长江经济带作为我国关键经济区域，其绿色物流效率的评价对资源优化和区域发展至关重要。本文聚焦2012~2022年长江经济带11个省市，构建包含能源和二氧化碳排放的投入产出指标体系，运用非期望产出超效率SBM模型与Malmquist-Luenberger指数，从静态和动态视角评估绿色物流效率。研究发现，长江经济带的绿色物流效率整体呈现波动上升趋势，存在下游领先、中游居中、上游滞后的明显区域差异；全要素生产率也在增长，主要由技术进步推动，但技术效率提升有限。基于此，提出构建梯度协同的区域发展体系、深化技术与管理双轮驱动机制等建议，以期为推动该区域物流业高质量可持续发展提供科学决策支持。

Abstract: Driven by globalization, regional integration and the “dual carbon” goals, the Yangtze River Economic Belt, as a key economic region in China, the evaluation of its green logistics efficiency is of vital importance to resource optimization and regional development. This paper focuses on 11 provinces and municipalities in the Yangtze River Economic Belt from 2012 to 2022, constructs an input-output index system including energy and carbon dioxide emissions, and uses the non-expected output super-efficiency SBM model and the Malmquist-Luenberger index to evaluate the efficiency of green logistics from both static and dynamic perspectives. The research finds that the green logistics efficiency of the Yangtze River Economic Belt shows an overall fluctuating upward trend, with obvious regional differences such as leading in the lower reaches, being in the middle reaches, and lagging in the upper reaches. Total factor productivity is also increasing, mainly driven by technological progress, but the improvement in technological efficiency is limited. Based on this, suggestions such as constructing a gradient collaborative regional development system and deepening the dual-wheel drive mechanism of technology and management are proposed, with the expectation of providing scientific decision support for promoting the high-quality and sustainable development of the logistics industry in this region.