Examining the transition processes in the Pearl River Delta polycentric mega-city region through the lens of corporate networks

《Examining the transition processes in the Pearl River Delta polycentric mega-city region through the lens of corporate networks》

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关键字: Urban networks; Polycentricity; Mega-city regions; Pearl River Delta; Corporate networks; LAND-USE CHANGE; URBAN-DEVELOPMENT; CHINA; GOVERNANCE; PATTERNS; ECONOMY; CITIES; MODEL

作者单位: [Zhao, Miaoxi; Huang, Junhao] South China Univ Technol, Dept Urban Planning, Guangzhou 510640, Guangdong, Peoples R China. [Zhao, Miaoxi; Derudder, Ben] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium. Zhao, MX (reprint author), South China Univ Technol, Dept Urban Planning, Guangzhou 510640, Guangdong, Peoples R China. E-Mail: arzhao@scut.edu.cn; Ben.derudder@UGent.be

摘要: This paper presents an analysis of the shifting spatial organization of the Pearl River Delta (PRD), a large-scale urbanized region bordering Hong Kong that includes major cities, such as Guangzhou and Shenzhen, alongside a range of other fast-developing cities and towns. Our methodology measures and compares the different networking components of the PRD's spatial organization and uses data on the geography of firms' networks as observed in the links between locations of headquarters and subsidiaries in 2001, 2008 and 2013. We examine whether there has been a shift towards integrated polycentricity in the unfolding spatial organization of this 'workshop of the world' through functional polycentricity and a typology of the geographies of these links. The results suggest complex interaction processes in the PRD in which network interactions significantly increased in 2001-08 and slightly dedined in 2008-13 (with the exception of manufacturing links, which are increasingly managed from headquarters in Guannei, Shenzhen). We argue that the PRD is increasingly characterized by a functional polycentric and cross-regional interaction pattern for market-oriented sectors; although more regionalized, networks continue to dominate sectors that have higher proportions of state-owned enterprises. (C) 2016 Elsevier Ltd. All rights reserved.