PROGRESS IN GEOGRAPHY ›› 2016, Vol. 35 ›› Issue (8): 952-962.doi: 10.18306/dlkxjz.2016.08.004

• Orginal Article • Previous Articles     Next Articles

Spatial structure change and optimization strategies of innovation linkage among the cities in Guangdong Province

Huixuan ZHANG1(), Qing LIU1,*(), Guicai LI1,2   

  1. 1. School of Urban Planning and Design, Peking University, Shenzhen 518055, Guangdong, China
    2. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • Online:2016-08-25 Published:2016-08-25
  • Contact: Qing LIU E-mail:zhanghuixuan@pku.edu.cn;liuq@pkusz.edu.cn
  • Supported by:
    National Natural Science Foundation of China, No.41401122

Abstract:

Research on innovation linkages of cities has an important significance for revealing characteristics of innovative spatial structure and forming strategies for regional innovation development. This article uses a spatial interaction model to measure the spatial structure of innovation linkages among 21 cities in Guangdong Province in 2003 and 2012, with the aim to reveal the change of the spatial structure. Strategies for the development and optimization of spatial structure of innovation linkages in Guangdong Province are discussed based on data analysis and principles of urban spatial organization. The article concludes that the spatial structure of innovation linkages in Guangdong province shows a new "core-periphery" structure and the Pearl River Delta cities are at the core of this structure, which shows a weakening and differentiation trend compared to the past. The overall degree of network linkage is enhanced, and there is a tendency of anti-polarization in periphery regions of the Pearl River Delta. From 2003 to 2012, the number of innovation center cities dropped from 6 to 5. Both radiation range and direction of innovation center cities experienced some changes, and innovative radiation intensity showed a "strong-strong combination" pattern. In the future, the existing spatial pattern of innovation linkages should be optimized and regional polycentric network innovative pattern should be built on the regional scale.

Key words: innovation linkage, innovation center city, radiation range, radiation intensity, spatial structure, Guangdong Province