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Research on the Spatial Disparities and Convergence of Guangdong’s Urban Economy Based on Industrial Agglomeration and Industrial Proximity

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  • Xiaojin Huang

    (Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
    State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, China
    Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China)

  • Renzhong Guo

    (Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
    State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, China
    Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China)

  • Weixi Wang

    (Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
    State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, China
    MNR Technology Innovation Centre of Territorial & Spatial Big Data, Shenzhen University, Shenzhen 518060, China)

  • Xiaoming Li

    (Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
    State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, China
    MNR Technology Innovation Centre of Territorial & Spatial Big Data, Shenzhen University, Shenzhen 518060, China)

  • Yong Fan

    (School of Artifcial Intelligence, Shenzhen Polytechnic, Shenzhen 518055, China)

Abstract

Understanding the spatial differences and evolutionary characteristics of urban economy and exploring the impact of industrial agglomeration and industrial proximity on urban economic convergence are the bases for scientifically formulating policies for coordinated regional economic development. This study used QGIS 3.10.10 software and the Theil index to analyze the spatial distribution characteristics and regional disparities of urban economy. Then, a spatial econometric model was constructed to analyze the convergence and influencing factors of Guangdong’s urban economy. The results indicate that from 2006 to 2020, Guangdong’s urban economy grew rapidly and the degree of economic agglomeration gradually weakened, but its economic pattern always maintained the “Core-Edge” structural feature. The interval disparities between the Pearl River Delta Urban Agglomeration (PRD) and the edge area have always been greater than the intra-regional disparities, so they are main source of disparities in Guangdong. In Guangdong’s urban economy, σ-convergence and β-convergence coexist. The conditional β-convergence rate is 0.96~1.53%, and the half-life cycle is 45.4~72.36 years. Compared to the PRD, the economic disparities in the edge area are smaller but the convergence speed is faster and the half-life cycle is shorter. Both industrial agglomeration and industrial proximity have a significant impact on the economic convergence of Guangdong’s cities. Among them, industrial agglomeration has a positive impact, while industrial proximity has a negative impact. There is spatial heterogeneity in the impact of industries on economic development. Industrial agglomeration has a positive impact on the overall economic development of Guangdong, but it is not significant within the regions. Industrial proximity has significant negative externalities in the PRD region, and its impact is not significant in the edge area.

Suggested Citation

  • Xiaojin Huang & Renzhong Guo & Weixi Wang & Xiaoming Li & Yong Fan, 2024. "Research on the Spatial Disparities and Convergence of Guangdong’s Urban Economy Based on Industrial Agglomeration and Industrial Proximity," Land, MDPI, vol. 13(1), pages 1-17, January.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:1:p:73-:d:1315159
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    References listed on IDEAS

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