摘要
运用TOPSIS熵值法测度长江经济带数字经济发展水平,结合引力模型与社会网络分析方法对其空间关联网络结构及驱动因素开展研究。结果表明:长江经济带数字经济发展水平呈“橄榄型”结构且存在显著的空间分异及非均衡分布特征。关联强度在空间、时间上呈“由东向西、由点及面”高速发展的新局面;整体网络特征向网状化、稠密化、纵深化发展;个体网络特征向均衡化发展,更多城市扮演“中心行动者”角色,形成“东—西扩展、沿海—内陆延伸”的“核心-半边缘-边缘”网络结构。数字经济发展受时间、空间距离以及政府干预度的正向影响,经济增长、科技创新、居民收入、人力资本以及产业结构的差距过大会制约城市间数字经济发展关联。
The TOPSIS entropy method was used to measure the level of digital economy development in the Yangtze River Economic Belt,and its spatial correlation network structure and driving factors were empirically investigated by combining the gravitational model and the social network analysis method.The results showed that the development level of digital economy in the Yangtze River Economic Belt had an“olive shaped”structure with significant spatial differentiation and unbalanced distribution.The strength of linkage in space and time showed a new situation of high-speed development from east to west,from point to surface;the overall network characteristics were developing towards netting,densification and deepening;the individual network characteristics were developing towards equalization,with more cities playing the role of“central actors”,forming an“east-west expansion”.More cities were playing the role of“central actors”,forming a“core-semi edge-edge”network structure of“east-west expansion,coastal-inland extension”.The development of the digital economy was positively affected by time,spatial distance and government intervention,and that excessive disparities in economic growth,scientific and technological innovation,resident income,human capital and industrial structure constrain the linkage of the development of the digital economy among cities.
作者
傅贻忙
张晨怡
刘奎兵
刘望
FU Yimang;ZHANG Chenyi;LIU Kuibing;LIU Wang(Business School,Hunan University of Technology,Zhuzhou 412007,China)
出处
《地域研究与开发》
北大核心
2023年第6期20-25,共6页
Areal Research and Development
基金
湖南省教育厅科学研究优秀青年项目(21B0527)
湖南省哲学社会科学基金重点项目(22ZDB074)。
关键词
数字经济
空间关联网络
社会网络分析法
长江经济带
digital economy
spatial correlation structure
social network analysis
Yangtze River Economic Belt
