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From global to national: The role of urban agglomerations in China’s new development paradigm

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  • Chang-chun Gao
  • Si-qi Chang
  • Ying-su Wang

Abstract

Urban agglomerations (UAs), which serve as pivotal hubs for economic and innovative convergence, play a crucial role in enhancing internal circulation and strengthening external linkages. This study utilizes the China city-level multi-regional input-output tables, incorporating the Dagum Gini coefficient and kernel density estimation methods, to perform a thorough quantitative analysis. Disparities within the national and global value chains ("dual value chains") of Chinese UAs from 2012 to 2017 were assessed. Additionally, the logarithmic mean Divisia index (LMDI) method was applied to disaggregate the drivers of both national and global intermediate inputs (NII and GII). The study’s key findings include the following: (1) The national value chain (NVC) within UAs exhibits robust growth, contrasting with the decline in the global value chain (GVC). (2) The inter-UA disparity contribution rate significantly surpasses the combined rates of intra-UA contribution and super-variation density. (3) Distinct evolutionary peak trends are discerned among various UAs within the "dual value chains", highlighting diverse spatial polarization characteristics and expansiveness. (4) The growth of the NVC has transitioned from a negative to a positive impact on NII, while the decline in GVC has substantially counteracted GII growth. Economic and demographic factors notably drive positive improvements in both NII and GII, whereas the efficiency of outflows presents a negative driving effect. Based on these findings, this study offers strategic recommendations to facilitate the effective integration of UAs into the new development paradigm, thereby providing a scientific basis for related decision-making processes.

Suggested Citation

  • Chang-chun Gao & Si-qi Chang & Ying-su Wang, 2024. "From global to national: The role of urban agglomerations in China’s new development paradigm," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-21, June.
    • Handle: RePEc:plo:pone00:0305594
    DOI: 10.1371/journal.pone.0305594
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    References listed on IDEAS

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    1. Genevieve Giuliano & Sanggyun Kang & Quan Yuan, 2019. "Agglomeration economies and evolving urban form," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(3), pages 377-398, December.
    2. Meng, Bo & Wang, Zhi & Koopman, Robert, 2013. "How are global value chains fragmented and extended in China's domestic production networks?," IDE Discussion Papers 424, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    3. Du, Xiaosen & Zhou, Jing & Xiao, Chengyou, 2024. "Spatial effects and influencing factors of urban sustainable development: An analysis of urban agglomerations in China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 556-575.
    4. Li, Lei & Ma, Shaojun & Zheng, Yilin & Xiao, Xinyue, 2022. "Integrated regional development: Comparison of urban agglomeration policies in China," Land Use Policy, Elsevier, vol. 114(C).
    5. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    6. Zhenjie Liao & Lijuan Zhang, 2023. "Spatio-temporal evolution and future simulation of urban agglomeration expansion in the Guangdong–Hongkong–Macau Greater Bay Area," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    7. Xie, Rui & Fu, Wei & Yao, Siling & Zhang, Qi, 2021. "Effects of financial agglomeration on green total factor productivity in Chinese cities: Insights from an empirical spatial Durbin model," Energy Economics, Elsevier, vol. 101(C).
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