Cluster Computing

, Volume 22, Supplement 4, pp 9991–10007 | Cite as

Data driven based coordinated development pattern and influencing factor analysis using spatial and temporal data

  • Deling Zou
  • Haibin CongEmail author


Based on the time series from 2003 to 2014, using entropy method, exploratory data analysis and geographically weighted regression model, the paper systematically analyzes the city–industry coordination development level and spatial pattern evolution of 285 prefecture-level cities in China, and finds the factors that affect its spatial distribution. The results show that the coordinated development level, coordination degree and coupling degree of the 285 cities of China show a clear upward trend and a significant spatial variation in 2003, 2008 and 2014. Indicators in the industry, urban coordination degree were rising, the population coordination degree showed a significant downward trend. The level of urbanization, informatization and city scale are the important factors that influence the harmonious development of the city–industry coordination, and its influence degree on different regions are significant.


China Industry–city coordination Spatial pattern influencing factor 



This research is financially supported by the planning project of Zhejiang province Philosophy Social Sciences under Grant No. 15NDJC244YB, the Zhejiang Natural Science Foundation under Grant No. LQ17G030001, LY17G030014,LY17G030010, 2016 national statistical science research project under Grant No. 2016LY58. This research is sponsored by Key Research Institute of Philosophy and Social Sciences of Zhejiang Province–Modern Port Service Industry and Creative Culture Research Center and K.C. Wong Magna Fund in Ningbo University.


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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Institute of Modern Logistics and E-CommerceZhejiang Wanli UniversityNingboChina
  2. 2.Business SchoolNingbo UniversityNingboChina

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