基于SBM-Undesirable模型的长三角地区城市建设用地效率时空演变研究

Research on Spatiotemporal Evolution of Urban Construction Land Efficiency in the Yangtze River Delta Region Based on SBM-Undesirable Model

环境约束条件下建设用地效率成为高质量发展背景下城乡空间发展研究的焦点。文章以长三角地区41个地级以上城市的建设用地为研究对象,运用SBM-Undesirable模型与全局参比法测度各城市建设用地效率,动态分析长三角区域整体及各城市的建设用地效率时空演变特征。研究表明:(1)SBM-Undesirable模型与全局参比法相结合可以解决Malmquist指数时空特征定性评价的局限性;(2)2011—2019年长三角地区城市建设用地效率呈提升态势,但变化趋势呈U字形的演化特征;(3)城市建设用地效率空间格局演化较为剧烈,低效率区域呈现“面状—零星点状”发展,高效率区域呈现“零星点状—反K字形网络状”发展;(4)根据非有效城市的投入产出冗余程度可进行相应比重调整,推动城市绿色高质量发展。最后,提出长三角地区城市建设用地效率提升优化的相关对策建议。

Under the constraints of environmental factors,the efficiency of construction land use has become the focus of research on urban-rural spatial development under high-quality development.Taking the urban construction land of cities at or above the prefecture level in the Yangtze River Delta region as the research object,the SBM-Undesirable model and the global reference method are used to measure the efficiency of urban construction land use and dynamically analyze its spatiotemporal evolution characteristics.The research results show that:(1)The combination of the SBM-Undesirable model and the global reference method can solve the limitations of qualitative evaluation of spatiotemporal characteristics of the Malmquist index;(2)From 2011 to 2019,the efficiency of urban construction land use in the Yangtze River Delta region showed an increasing trend,but the change trend exhibited a“U-shaped”evolutionary feature;(3)The spatial pattern evolution of urban construction land efficiency was relatively dramatic,with low-efficiency areas showing a“surface-scattered”development pattern,while high-efficiency areas showed a“scattered pointreverse K-shaped network”development pattern;(4)Corresponding adjustments can be made based on the redundancy degree of non-efficient urban areas to promote green and high-quality development of cities.Finally,relevant countermeasures and recommendations are put forward to improve the urban construction land efficiency in Yangtze River Delta region.