Abstract：
Increasing land-use eco-efficiency can alleviate human-land conflict in urban areas as well as improve regional urbanization quality to achieve sustainable development. As the central urban agglomeration in China, the Middle Reaches of Yangtze River (MRYR) has experienced rapid urbanization and huge land-use change during 2000 to 2020, which poses great threats to its ecological environment. This study adopted the Super-Slack-Based Data Envelopment Analysis (Super SBM-DEA) model to evaluate the eco-efficiency of land use in MRYR. The result shows that the average eco-efficiency value of land use is above 0.77 for each year, indicating that the general efficiency is at a middle level. The trend of the evolution of the eco-efficiency can be summarized as a \"U-shape\" style curve. The variance between the four urban agglomerations of the MRYR changed over time. Not all capital cities or cities with higher GDP per capita obtain higher eco-efficiency in this study. Policy intervention, population and land use, technique, and environmental pollution are influencing factors of land-use eco-efficiency. Based on slacks analysis, this study proposed the optimization of the land-use structure to improve eco-efficiency from four aspects of land-use structure, investment and labor, ecosystem services value (ESV) and environment pollution, and industry structure.
摘要：
提高土地利用生态效率可以缓解城市地区的人地冲突，提高区域城市化质量，实现可持续发展。作为中国的中部城市群,2000年至2020年，长江中游地区经历了快速的城市化进程和巨大的土地利用变化，对其生态环境构成了巨大威胁。本研究采用基于超松弛的数据包络分析（SuperSBM-DEA）模型来评估MRYR中土地利用的生态效率。结果表明,各年度土地利用平均生态效率值在0.77以上,表明总体效率处于中等水平。生态效率的演变趋势可以概括为“U形”样式曲线。MRYR的四个城市群之间的差异随时间而变化。在这项研究中，并非所有省会城市或人均GDP较高的城市都能获得较高的生态效率。政策干预,人口和土地利用，技术，和环境污染是土地利用生态效率的影响因素。根据松弛分析，本研究从土地利用结构四个方面提出优化土地利用结构以提高生态效率,投资和劳动力，生态系统服务价值（ESV）与环境污染，和产业结构。
