我国智慧城市建设的空间关联效应及驱动因素研究

Spatial Correlation Effects and Driving Factors of Smart Cities in China

摘要:

该文从复杂网络视角基于修正的引力模型构建智慧城市的空间关联网络,并采用社会网络分析法和QAP技术,对我国智慧城市空间关联网络特征及影响因素进行深入探讨。研究发现:(1)智慧城市间呈现出复杂的多线程的空间网络关联关系。华东地区的智慧城市在网络中扮演“主角”,西北地区的智慧城市相对弱势,“桥梁型”智慧城市主要分布于中东部地区；(2)智慧城市可以划分为“双向溢出”、“净受益”、“净溢出”以及“经纪人”四个功能板块,板块内部的关联关系较稠密,板块间的关联关系较松散；(3)数字化发展力、网络化协同率、智能化渗透率、一体化创新力对智慧城市空间关联具有显著的正向影响,解释了智慧城市空间关联的92.8%。根据研究结论,该文强调提出在智慧城市建设过程中,要优化资源配置、升级智慧设施,强调互利合作、推进合作竞争,坚持创新驱动、推动跨境融合,利用各城市的网络结构功效,充分发挥智慧城市建设的发展效能。

Abstract:

In this paper, the spatial correlation network of smart city is constructed from the perspective of complex network based on the modified gravity model, and the characteristics and influencing factors of spatial correlation network of smart city are deeply discussed by using social network analysis and QAP technology. The findings are as follows: (1) Smart cities present a complex multi-threaded spatial network correlation. The smart cities in East China play the "leading role" in the network, while the smart cities in Northwest China are relatively weak, and the "bridge-type" smart cities are mainly distributed in the central and eastern regions. (2) Smart cities can be divided into four functional sectors: "two-way spillover", "net benefit", "net spillover" and "broker", with dense inter-sector correlation and loose inter-sector correlation. (3) Digital development power, network collaboration rate, intelligent penetration rate and integrated innovation power have significant positive effects on the spatial correlation of smart cities, accounting for 92.8% of the spatial correlation of smart cities. According to the research conclusions, this paper emphasizes that in the process of smart city construction, it is necessary to optimize resource allocation, upgrade smart facilities, emphasize mutually beneficial cooperation, promote cooperation and competition, adhere to innovation-driven, promote cross-border integration, make use of the network structure of various cities, and give full play to the development efficiency of smart city construction.