Spatial Differentiation and Influencing Factors of Tertiary Industry in the Pearl River Delta Urban Agglomeration

Xiaodie Yuan, Baoyu Chen, Xiong He, Guojun Zhang and Chunshan Zhou ()
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Xiaodie Yuan: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Baoyu Chen: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Xiong He: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Guojun Zhang: School of Finance, Guangdong University of Finance and Economics, Guangzhou 510320, China
Chunshan Zhou: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China

Land, 2024, vol. 13, issue 2, 1-23

Abstract: The tertiary industry has become the main driving force for China’s economic development, and the adjustment and optimization of its structure are important prerequisites for achieving high-quality economic development. Existing studies have mostly focused on the spatial layout and influencing factors of the tertiary industry, with insufficient exploration of its internal structure. In this study, the PRD urban agglomeration is selected as the study area. On the basis of classifying the tertiary industry, the Dagum Gini coefficient, kernel density estimation, and local spatial autocorrelation are used to explore the spatial differentiation of various tertiary industries. The influencing factors are analyzed using geographical detectors, and suggestions for future development strategies are proposed. The results show that in terms of regional differentiation, the agglomeration of various tertiary industries in Guangzhou and Shenzhen is the most significant, but there is insufficient spillover to surrounding cities. In terms of development structure, the level of agglomeration of the consumptive tertiary industry is higher, the public tertiary industry tends to be more evenly distributed, and the productive tertiary industry is relatively dispersed. In terms of influencing factors, the interaction between population and employment dominates the spatial differentiation and evolution of the tertiary industry in the PRD urban agglomeration. Therefore, in the future, the tertiary industry in PRD urban agglomeration should promote the optimization of industrial structure and regional coordinated development under the guidance of the government.

Keywords: tertiary industry; service industry; Dagum Gini coefficient; geodetector; multi-source data; PRD (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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