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Journal of Desert Research ›› 2022, Vol. 42 ›› Issue (3): 31-40.DOI: 10.7522/j.issn.1000-694X.2021.00162

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Spatio-temporal evolution and dynamic mechanism of urban-rural integration development in the Yellow River Basin

Lei Xie1,2(), Renwei He2, Wentao Shi3(), Hongzheng Pu4   

  1. 1.Luxi Middle School in Jiangxi Province,Luxi 337200,Jiangxi,China
    2.City Situation Survey Research Center,Beijing Academy of Social Sciences,Beijing 100101,China
    3.School of Management,Zunyi Normal University,Zunyi 563006,Guizhou,China
    4.School of Management,Chongqing University of Technology,Chongqing 400054,China
  • Received:2021-08-16 Revised:2021-11-09 Online:2022-05-20 Published:2022-06-01
  • Contact: Wentao Shi

Abstract:

By taking 79 prefecture-level cities in the Yellow River Basin as the research object, constructing an urban-rural integration development evaluation index system and using entropy method, standard deviation and coefficient of variation, ESDA spatial exploratory data analysis method and geographic weighted regression analysis (GWR), this paper analyzed urban-rural integration development's spatio-temporal evolution characteristics and dynamic mechanism from 2005 to 2018 in the Yellow River Basin. The results showed that: (1)The average urban-rural integration coefficient increased from 0.208 in 2005 to 0.416 in 2018, indicating that the level of urban-rural integration continued to increase, but the average value of downstream areas has always been higher than that of midstream and upstream areas; the absolute difference in urban-rural integration measured by standard deviation rose slowly from 0.073 to 0.103; and the relative difference measured by variation coefficient fell from 0.350 to 0.248, showing a downward trend; Global Moran's I showed that that prefecture level cities higher than the basin's urban-rural integration coefficient average tended to cluster in space. (2)In terms of spatial evolution characteristics: the eastern and northern parts of the Yellow River Basin formed a concentrated distribution area higher than the urban-rural integration coefficient average; The prefecture level cities lower than the basin's urban-rural integration coefficient average showed a regional locking distribution; the urban-rural integration development level in the Yellow River Basin prefecture-level cities formed 3 hierarchical "core-periphery" spatial structure. (3)Geographically weighted regression analysis showed that: terrain undulations, economic development level, urban spatial expansion, traffic accessibility, population urbanization, residents consumption level were the main driving factors for the urban-rural integration's spatio-temporal evolution in the Yellow River Basin.

Key words: Yellow River Basin, urban-rural integration development, spatio-temporal evolution, geographically weighted regression analysis

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