Regional disparity and dynamic distribution evolution of innovation capability among seven major Chinese city clusters

YANG Minghai1 ZHANG Hongxia1 SUN Yanan1

(1.School of Business Administration, Shandong University of Finance and Economics)

【Abstract】This paper aimed to explore the regional disparity and the distributional dynamic evolution of the innovation capability in seven Chinese city clusters. By the methods of Dagum Gini coefficient, Kernel density nonparametric estimation, and spatial Markov chain, this paper conducted empirical research. The research findings are as follows. Firstly, the overall disparity of innovation capability in city clusters shows a narrowing trend with significant disparity among city clusters as the major source of general disparity. Secondly, the regional distribution of innovation capability in the seven Chinese city clusters shows different polarization trends. Thirdly, the innovation capability growth shows distribution features of spatial autocorrelation, and neighboring innovation environment significantly affects the evolution of regional innovation capability diversely. This paper explored the source of general disparity, and spatially explored it by investigating the time-space evolutionary characteristics. It is of great theoretical and practical significance to narrow regional disparity of innovation capability and construct innovation-driven regional economic development supporting point.

【Keywords】 regional innovation disparity; Dagum Gini coefficient; Kernel density estimation; spatial Markov chain;

【DOI】

【Funds】 National Social Science Foundation of China (15CGL041) Shandong Social Science Planning Research Program (14AWTJ01-12) Shandong Social Science Foundation Program (12DGLJ09) Shandong Natural Science Foundation Program (ZR2013GQ004) General Project of Shandong Natural Science Foundation (ZR2013GM005)

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(Translated by GENG Qingyou)

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This Article

ISSN:1000-3894

CN:11-1087/F

Vol 34, No. 03, Pages 21-39

March 2017

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Article Outline

Abstract

  • Introduction
  • 1 Methodology and data
  • 2 Regional difference of innovation capability of the seven major city clusters and its source
  • 3 Spatio-temporal evolution dynamics of innovation capability distribution among the seven major city clusters
  • 4 Conclusions and suggestions
  • References