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JOURNAL OF DESERT RESEARCH ›› 2016, Vol. 36 ›› Issue (5): 1489-1495.DOI: 10.7522/j.issn.1000-694X.2015.00130

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Evolvement of Spatial Pattern of Sustainable Development Efficiency and Its Influencing Factors for Resource-based Cities in China

Zhou Peng, Bai Yongping, Ma Wei, Wu Rongwei, Zhang Rui, Zuo Naixian   

  1. College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China
  • Received:2015-02-25 Revised:2015-05-07 Online:2016-09-20 Published:2016-09-20

Abstract: Taking the prefectural-level resource-based cities in China as studying object during 2002-2012, we adopt SBM-Undesirable model to measure the sustainable development efficiency of the resource-based cities in China. At the same time, ESDA-GIS, trend surface analysis and panel data model were used to analyze the space-time characteristics and the influencing factors of sustainable development efficiency of the resource-based cities. The results showed that:(1) The level of sustainable development efficiency of resource-based cities in China was general, and there were downward trend, spatial dependence and spatial heterogeneity, and the difference of different types of cities was significant.(2) During 2002-2012, great changes had taken place for the spatial pattern of hot spots and cold spots of sustainable development efficiency of resource-based cities, the areas of hot spots and cold spots have decreased, which showed that the polarization trend had weakened. (3) Economic scale and population scale had a weak negative correlation with sustainable development efficiency of resource-based cities; Industrial structure had a negative influence on sustainable development efficiency of resource-based cities, but the influence was not statistically significant; Government regulation, employment structure and level of science and education had a positive influence on sustainable development efficiency of resource-based cities.

Key words: sustainable development efficiency, resource-based cities, SBM-Undesirable model, influencing factors

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