Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (8): 1882-1894.doi: 10.11821/dlxb202108005

• Industrial and Regional Development • Previous Articles     Next Articles

Spatial distribution of digital economic growth dynamics and regional income

CHEN Xiuying1(), MIAO Zhenlong2()   

  1. 1. School of Economics and Management, Zhejiang Ocean University, Zhoushan 316022, Zhejiang, China
    2. College of Entrepreneurship, Zhejiang University of Finance & Economics, Hangzhou 310018, China
  • Received:2020-06-02 Revised:2021-03-09 Online:2021-08-25 Published:2021-10-25
  • Contact: MIAO Zhenlong;
  • Supported by:
    National Social Science Foundation of China(15AZD072)


To explore the dynamic digital economy growth, regional differences, and the spatial distribution of regional income, this study takes Zhejiang Province, China's digital economy innovation highland, as a research sample, constructs the index system of dynamic factors of digital economic growth, and proposes the concept of a Digital Economy Growth Driving Index (DEGDI). Using the Weaver-Thomas model, grey correlation analysis, and GIS hierarchical coloring method, the paper analyzes the dominant driving force of digital economic growth in Zhejiang at the city level and verifies its relevance with regional income. The research results show that: (1) The dynamic characteristics of digital economic growth in this province fluctuates in a small range. (2) From the spatial pattern, the digital economic growth presents a "double core" phenomenon, in which Hangzhou and Ningbo are the cores. The industry-supply leading type is mainly distributed in the southwest of Zhejiang; the market-demand-driven, information-application-driven, and innovation-driven types are mainly found in the northwest part of the province. (3) There is a strong correlation between the DEGDI and regional income. The higher the DEGI, the higher the regional income, and vice versa. The change of the leading dynamics structure of the digital economy is forming a complex and diverse regional economic growth behavior mode.

Key words: digital economy, growth dynamics, regional income, Weaver-Thomas model, spatial distribution, Zhejiang Province