Understanding the structure and determinants of city network through intra-firm service relationships: The case of Guangdong-Hong Kong-Macao Greater Bay Area. (August 2020)

• Record Type: Journal Article
• Authors: Chong, Zhaohui; Pan, Su
• Is Part Of: Cities. Volume 103(2020)
• Publication Date: 2020-08
• Subjects: City network -- Guangdong-Hong Kong-Macao Greater Bay Area -- Exponential random graph model (ERGM) -- Interlocking networks model; City planning -- Periodicals; Urban policy -- Periodicals; 711.4
• DOI: 10.1016/j.cities.2020.102738
• Languages: English
• ISSNs: 0264-2751

Abstract

Abstract: As one of the fast-developing mega-city regions in the world, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) is in the process of construction. Drawing on the idea of "cities as strategic places", our analysis describes the city network in the GBA and contributes to the quantitative analysis of the formation of city network, as we: (1) identify the network structure through the lens of APS firms' locational strategies within the GBA; (2) take a step further in exploring the influential factors affecting the formation of the city network using the exponential random graph model (ERGM), compared with the previous studies only focusing on the description of the city networks. Major findings include: (1) the connectivity among cities has enhanced in the GBA since 2014, indicating that there are closer relationships among the cities; (2) from the perspective of the node cities, polycentric structure has emerged, whereby the status of Guangzhou and Shenzhen in the city network has improved and they are gradually becoming the core cities in the GBA; (3) a hierarchical structure is detected in the city network in the GBA, including the core cities (Hong Kong, Guangzhou and Shenzhen), the semi-peripheral cities (Macao, Foshan, Dongguan and Zhongshan), and the peripheral cities (Zhuhai, Jiangmen, Huizhou and Zhaoqing); (4) according to the results of ERGM, the city network in the GBA has significant "path dependence" characteristics, the existing city network, city's per capita GDP, innovative environment and international reputation are the main factors affecting the formation of the city network. Highlights: As the national strategic plan, the GBA is getting more and more attention in the worldwide. The city network has been more intensive with the emerged polycentric pattern in the GBA since 2014. Examine network structural characteristics by analyzing top 1, top 2 network and the sub-networks for different industries. Identifying the determinant factors of the city network using ERGM.