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京津冀县域层面建设用地效率提升路径——基于最近目标的 DEA 分析

Improvement Pathways for Urban Land Use Efficiency in the Beijing-Tianjin-Hebei Urban Agglomeration at the County Level: A Context-Dependent DEA Based on the Closest Target.

机构信息

School of Public Administration, China University of Geosciences, Wuhan 430074, China.

出版信息

Int J Environ Res Public Health. 2023 Mar 1;20(5):4429. doi: 10.3390/ijerph20054429.

DOI:10.3390/ijerph20054429
PMID:36901439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10002380/
Abstract

One of the most effective ways to achieve sustainable land use and the regional coordinated development of urban agglomerations lies in improving the urban land use efficiency (ULUE) of both large, medium, and small cities and small towns. However, in previous studies, less attention has been paid to pathways for potential improvement, especially at the county level. The main purpose of this paper is to examine potential improvement paths for the ULUE at the county level in urban agglomerations, while attempting to provide more practical targets for improvement and formulate more reasonable improvement steps for inefficient counties. Therefore, a total of 197 counties in the Beijing-Tianjin-Hebei urban agglomeration (BTHUA) in 2018 were taken as examples to build a context-dependent data envelopment analysis (DEA) model based on the closest target. In addition, by utilizing methods such as the significant difference test and system clustering analysis, the shortest path and steps to achieve efficiency were identified for inefficient counties, and the characteristics of improvement paths at different levels were summarized. Furthermore, improvement pathways were compared for two dimensions: administrative type and region. The results showed that the causes of polarization for ULUE at different levels were mainly reflected in more complex targets to be improved in the middle- and low-level counties than at high levels. Improving environmental and social benefits was essential to achieving efficiency in most inefficient counties, especially at the middle and low levels. The improvement paths for inefficient counties between different administrative types, as well as the prefecture-level cities, were heterogeneous. The results of this study can provide a policy and planning basis for improving urban land use. This study is of practical significance in accelerating the development of urbanization and the promotion of regional coordination and sustainable development.

摘要

实现土地资源的可持续利用和城市群区域协调发展的最有效途径之一,在于提高大、中、小城市和小城镇的城市土地利用效率(ULUE)。然而,在以往的研究中,对于潜在的改进途径,尤其是在县级层面,关注较少。本文的主要目的是探讨城市群县级城市土地利用效率的潜在改进途径,同时试图为低效县提供更具实际意义的改进目标,并制定更合理的改进步骤。因此,本文以 2018 年京津冀城市群的 197 个县为例,构建了一个基于最邻近目标的情境相关数据包络分析(DEA)模型。此外,通过利用显著性差异检验和系统聚类分析等方法,确定了低效县的最短路径和实现效率的步骤,并总结了不同水平的改进路径的特征。进一步地,从行政类型和区域两个维度对改进路径进行了比较。结果表明,不同水平 ULUE 极化的原因主要反映在中低水平的县级目标更为复杂,需要改进。提高环境和社会效益对提高大多数低效县的效率至关重要,尤其是在中低水平。不同行政类型和地级市的低效县的改进路径存在异质性。本研究的结果可为提高城市土地利用提供政策和规划依据。本研究对加快城市化发展、促进区域协调和可持续发展具有重要的实践意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/ac2ee9266190/ijerph-20-04429-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/b34336de4042/ijerph-20-04429-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/bfc299a5e50e/ijerph-20-04429-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/441f122ad3df/ijerph-20-04429-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/c3e2a3ece2f3/ijerph-20-04429-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/3f7f0a863d39/ijerph-20-04429-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/e3d90bc9291b/ijerph-20-04429-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/53069165f74b/ijerph-20-04429-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/86a0e902421b/ijerph-20-04429-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/4dfb548c28c2/ijerph-20-04429-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/ac2ee9266190/ijerph-20-04429-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/b34336de4042/ijerph-20-04429-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/bfc299a5e50e/ijerph-20-04429-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/441f122ad3df/ijerph-20-04429-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/c3e2a3ece2f3/ijerph-20-04429-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/3f7f0a863d39/ijerph-20-04429-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/e3d90bc9291b/ijerph-20-04429-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/53069165f74b/ijerph-20-04429-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/86a0e902421b/ijerph-20-04429-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/4dfb548c28c2/ijerph-20-04429-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e54/10002380/ac2ee9266190/ijerph-20-04429-g010.jpg

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Change in Urban Land Use Efficiency in China: Does the High-Speed Rail Make a Difference?
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