基于DEA和Malmquist指数模型的中国资源型城市效率及其变化(英文)

编号 zgly0001585759

文献类型 期刊论文

文献题名 基于DEA和Malmquist指数模型的中国资源型城市效率及其变化(英文)

作者 孙威  李杨  王岱  樊杰 

作者单位 InstituteofGeographicSciencesandNaturalResourcesResearch  CAS  KeyLaboratoryofRegionalSustainableDevelopmentModeling  CAS  GraduateUniversityofChineseAcademyofSciences 

母体文献 Journal of Geographical Sciences 

年卷期 2012年03期

年份 2012 

分类号 F299.2  F224 

关键词 resources-basedcities  DEAmodel  Malmquistproductivityindex  efficiency 

文摘内容 Employing DEA model and Malmquist productivity index, this paper probes into the urban efficiencies of 24 typical resources-based cities in China and their changes from 2000 to 2008. The research finds that the overall efficiencies of the resources-based cities are just at a general level, and only a few of them reach the optimal level. The scale efficiency is the major determining factor of the achievement of overall efficiency, the effect of which, never-theless, is reducing. From the perspective of classification characteristics, the re-sources-based cities in northeastern region have been in the front rank in terms of overall efficiency, pure technical efficiency and scale efficiency. There is a certain positive correlation between urban population scale and urban efficiency. The analysis of urban efficiency changes shows that the changes in overall efficiency of resources-based cities from 2000 to 2008 had a weak improving tendency. Both the technical change index and productivity change index decreased, indicating that the urban efficiency did not improve during this pe-riod, and the tendency of technical recession and productivity decline was obvious. In terms of the classification of urban efficiency changes, the urban overall efficiency improved in each of the four regions from 2000 to 2008, among which western region witnessed the greatest increase. Cities with different resource types have improved their urban overall efficiencies except steel-based cities. The urban overall efficiency increased in resources-based cities of different scales, with greater improvement in small and medium-sized cities than in big cities.