Redai dili (Mar 2024)
Research on the Digital Economy Correlation Pattern of the Pearl River Delta Urban Agglomeration Based on Enterprise Organization Relationship
Abstract
Using the Pearl River Delta urban agglomeration as the research area, this study comprehensively uses an interlocking network model and social network analysis to construct a network based on the headquarters branch data of digital economy listed enterprises in 2005, 2010, 2015, and 2020 to analyze the digital economy correlation pattern of the Pearl River Delta urban agglomeration. The results show that from 2005 to 2020, the number of digital economy listed companies' headquarters and branches in the Pearl River Delta urban agglomeration has grown rapidly. The radiating influence of headquarters has gradually expanded, and cross-city connections among digital economy companies have strengthened. Shenzhen and Guangzhou have become the engines of digital economy development and the control centers of the correlation network. The overall correlation structure of the urban agglomeration transformed from a single triangle consisting of Guangzhou-Zhuhai-Shenzhen and the connecting cities in 2005 to a double triangle structure consisting of Guangzhou-Foshan-Shenzhen and Guangzhou-Zhuhai-Shenzhen and the connecting cities in 2020. The network density increased, the asymmetry weakened, and the agglomeration subgroups shifted from a single regional center to multiple regional centers. From an industrial perspective, there are significant disparities among the different sectors of the digital economy. Network connections were strongest in the information transmission, software, and information technology service industries, weakest in finance, and moderate in manufacturing. The dual-core status of Shenzhen and Guangzhou is prominent, whereas Zhaoqing and Jiangmen are on the network periphery. This study examines the formation and evolution of the digital economy network of the Pearl River Delta urban agglomeration from the perspective of corporate organizational connections, identifies the positions and roles of each city in the correlation network, analyzes the correlation pattern and evolution path of the digital economy, and expands the study of digital economy correlation from an industry perspective, revealing industry differences in the digital economy correlation of urban agglomerations. The characteristics of the regional digital economy correlation can be summarized based on the results of this study and the existing research. First, the degree of regional digital economy correlation continuously increases during the development of the digital economy, and the overall network connection is strengthened. Second, differentiation emerges in the digital economy correlation network, forming core and peripheral cities and displaying spatial distribution imbalances. This study also found that policy guidance may promote the formation of multiple centers in the region and contribute to the balanced development of the correlation network. Finally, the regional digital economy correlation exhibits industry differences due to industry foundations and development characteristics. To promote sustained and healthy development of the digital economy in the Pearl River Delta urban agglomeration, it is necessary to further enhance inter-city digital economy cooperation, better leverage the radiating driving effects of core cities, such as Shenzhen and Guangzhou, improve digital economy development policies and infrastructure in peripheral cities, and promote coordinated development of the overall digital economy in the urban agglomeration. Comprehensive planning of the industry layout is necessary in subdivided industries to promote balanced development across all sectors and form a concerted effort in digital economy development. These measures can also serve as a reference for other areas in developing digital economies.
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