地理科学 ›› 2021, Vol. 41 ›› Issue (6): 933-940.doi: 10.13249/j.cnki.sgs.2021.06.002

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中国“互联网+”发展的空间关联网络及其影响因素——基于社会网络分析视角的实证研究

蔡海亚1,2(), 赵永亮1,2, 南永清3   

  1. 1.盐城工学院经济管理学院,江苏 盐城 224051
    2.盐城产业经济研究院,江苏 盐城 224051
    3.南京审计大学政府审计学院,江苏 南京 211815
  • 收稿日期:2020-02-16 修回日期:2020-04-02 出版日期:2021-06-10 发布日期:2021-08-13
  • 作者简介:蔡海亚(1991-),男,江苏盐城人,博士,讲师,主要从事区域经济与环境经济研究。E-mail: caihaiya1991@163.com
  • 基金资助:
    国家社会科学基金项目(20BGL014);国家社会科学基金项目(20CJL034);国家自然科学基金项目(41871108);国家自然科学基金项目(71773063);江苏省社会科学基金项目(20GLC018);江苏高校哲学社会科学研究项目(2020SJA1899);盐城工学院校级科研项目(xjr2020037)

The Spatial Correlation Network of China’s ‘Internet plus’ Development and Its Influencing Factors: An Empirical Study Based on the Perspective of Social Network Analysis

Cai Haiya1,2(), Zhao Yongliang1,2, Nan Yongqing3   

  1. 1. School of Economics & Management, Yancheng Institute of Technology, Yancheng 224051, Jiangsu, China
    2. Yancheng Institute of Industrial Economics, Yancheng 224051, Jiangsu, China
    3. School of Government Audit, Nanjing Audit University, Nanjing 211815, Jiangsu, China
  • Received:2020-02-16 Revised:2020-04-02 Online:2021-06-10 Published:2021-08-13
  • Supported by:
    National Social Science Foundation of China(20BGL014);National Social Science Foundation of China(20CJL034);National Natural Science Foundation of China(41871108);National Natural Science Foundation of China(71773063);Jiangsu Social Science Fund Project(20GLC018);Jiangsu Philosophy and Social Sciences Fund Project(2020SJA1899);Funding for School-level Research Projects of Yancheng Institute of Technology(xjr2020037)

摘要:

借助社会网络分析方法研究“互联网+”发展的空间关联网络特征,并利用QAP方法探究中国“互联网+”空间关联网络的影响因素。研究发现,“互联网+”发展的空间关联呈现显著网络特征,可划分为“净溢出”“经纪人”“主受益”以及“双向溢出”四大类型板块,并且板块内部具有较明显的“等级”属性。技术创新、基础设施、人力资本、市场发展、对外开放对“互联网+”发展的空间关联网络存在正向影响。地理距离对“互联网+”空间关联网络存在抑制作用,随着地理距离的不断增大,“互联网+”的知识溢出和流动效应逐步衰减。

关键词: “互联网+”, 空间关联网络, 社会网络分析

Abstract:

This study measures the spatial correlation network matrix of ‘Internet plus’ based on the revised gravity model, and explores the structural characteristics of spatial correlation network of China’s (excluding Tibet, Hong Kong, Macao and Taiwan) ‘Internet plus’ development through social network analysis methods. We also examine the status, role, type and role of each province (region) in the network, and reveal the influencing factors of spatial correlation network by utilizing the QAP method. The conclusions are as follows: 1) In terms of the overall network characteristics, the degree of interprovincial ‘Internet plus’ connectivity has increased considerably, and the network density has shown a certain degree of expansion. Although the network density presents the increasing trends, the interprovincial ‘Internet plus’ spatial correlation network is not high enough, which needs to be further improved. 2) As far as the network centrality, Beijing and Shanghai are located in the core of the ‘Internet plus’ spatial correlation network, these cities are two major engines promoting the development of ‘Internet plus’. Meanwhile, the role of Guangdong and Jiangsu in the ‘Internet plus’ spatial correlation network has begun to highlight, and gradually moving towards the core area, which is expected to play the central actor role in the ‘Internet plus’ spatial correlation network. And accelerating its internal connections with surrounding areas by virtue of its high efficiency of resource flow and resource acquisition. 3) China’s ‘Internet plus’ development can be divided into four sectors. There exist little changes among these four sectors, only Jiangsu, Fujian, Inner Mongolia, Liaoning and Guangxi have changed during the sample period. In 2016, the first plate includes Beijing, Tianjin, Shanghai, Guangdong and Jiangsu, which belongs to typical ‘net spillover’ type; the second plate covers Zhejiang, Shandong and Fujian, which belonged to a typical ‘broker’ type; The third plate includes Hebei, Hainan, Shanxi, Jilin, Heilongjiang, Anhui and other 16 regions, which belonged to a typical ‘main benefit’, and the fourth plate involves Inner Mongolia, Liaoning, Jiangxi, Henan, Hubei and Guangxi, which belong to the typical ‘two-way spillover’ plate. 4) A complete closed circuit is formed among these four plates. The first plate takes the role of the first radiation center in the network, and presents strong spillover effect on the provinces belong to other three plates. The second plate acts the role of second radiation centers and intermediary bridges, which not only exhibits spillover effects on the third and fourth plates, but also transfers the spillover effects of the first plate to the third and fourth plates. The third plate plays the role of receiver, which receives the spillover effect from the first and second plates. The fourth plate plays a pivotal role in the network, which presents the two-way feedback relationship with the first and second plates. 5) Technological innovation, infrastructure, human capital, market development and opening-up all present positive effects on the spatial correlation network of ‘Internet plus’ development. Especially, China’s ‘Internet plus’ spatial correlation network is inhibited by spatial geographical distance, and the knowledge overflow and flow effect of the ‘Internet plus’ would gradually decrease with the increasing geographic distance.

Key words: ‘Internet plus’, spatial association network, social network analysis

中图分类号: 

  • F49