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Service Sector Agglomeration and Industrial Structure Optimization: Evidence from China’s Resource-Based Cities

Author

Listed:
  • Lei Nie

    (Cooperative Innovation Center for Transition of Resource-based Economies and Research Institute of Resource-based Economic Transformation and Development, Shanxi University of Finance and Economics, Taiyuan, China)

  • Yuanyuan Wang

    (Research Institute of Resource-based Economic Transformation and Development, Shanxi University of Finance and Economics, Taiyuan, China)

  • Yanrui Wu

    (Department of Economics, University of Western Australia, Perth, Australia)

Abstract

This paper employs the system generalized method of moments approach and panel data of Chinese resource-based cities at the prefecture level for the period of 2003-2019 to investigate the effects of two types of service sector agglomeration on industrial structure dynamics. The results show that an increase in “specialized agglomeration” of services would inhibit industrial structure rationalization and upgrading. However, an increase in “diversified” agglomeration of services promotes industrial structure upgrading though it also inhibits industrial structure rationalization. Furthermore, it is also found that an increase in diversified agglomeration would inhibit industrial structure rationalization in eastern cities and industrial structure upgrading in western cities but promote industrial structure rationalization and upgrading in central cities. These insights suggest the importance of fostering the appropriate form of service sector agglomeration within resource-based cities. Leveraging the synergistic linkages between the service sector and other industries could enhance the industrial structure optimization of resource-based urban economies.

Suggested Citation

  • Lei Nie & Yuanyuan Wang & Yanrui Wu, 2024. "Service Sector Agglomeration and Industrial Structure Optimization: Evidence from China’s Resource-Based Cities," Economics Discussion / Working Papers 24-04, The University of Western Australia, Department of Economics.
    • Handle: RePEc:uwa:wpaper:24-04
    Note: MD5 = ce75e8abb32b2f3d65cb725a9bd7f9bb
    as

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    References listed on IDEAS

    as
    1. Ron Boschma & Asier Minondo & Mikel Navarro, 2013. "The Emergence of New Industries at the Regional Level in S pain: A Proximity Approach Based on Product Relatedness," Economic Geography, Taylor & Francis Journals, vol. 89(1), pages 29-51, January.
    2. Joshua Drucker, 2011. "Regional Industrial Structure Concentration in the United States: Trends and Implications," Economic Geography, Clark University, vol. 87(4), pages 421-452, October.
    3. Joshua Drucker, 2011. "Regional Industrial Structure Concentration in the United States: Trends and Implications," Economic Geography, Taylor & Francis Journals, vol. 87(4), pages 421-452, October.
    4. Roberto Ezcurra & Pedro Pascual & Manuel Rapun, 2006. "Regional Specialization in the European Union," Regional Studies, Taylor & Francis Journals, vol. 40(6), pages 601-616.
    5. Dai, Xiaoyong & Cheng, Liwei, 2016. "Market distortions and aggregate productivity: Evidence from Chinese energy enterprises," Energy Policy, Elsevier, vol. 95(C), pages 304-313.
    6. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    7. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    8. Wang, Xipan & Song, Junnian & Duan, Haiyan & Wang, Xian'en, 2021. "Coupling between energy efficiency and industrial structure: An urban agglomeration case," Energy, Elsevier, vol. 234(C).
    9. Shen, Neng & Peng, Hui, 2021. "Can industrial agglomeration achieve the emission-reduction effect?," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    10. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    11. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    12. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).
    13. Bas, Maria, 2014. "Does services liberalization affect manufacturing firms’ export performance? Evidence from India," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 569-589.
    14. Wang, Xuliang & Xu, Lulu & Ye, Qin & He, Shi & Liu, Yi, 2022. "How does services agglomeration affect the energy efficiency of the service sector? Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    15. Liu, Zhao & Zhang, Huan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2020. "How does industrial policy affect the eco-efficiency of industrial sector? Evidence from China," Applied Energy, Elsevier, vol. 272(C).
    16. Wang, Rui & Qi, Zhongying & Shu, Yumin, 2020. "Multiple relationships between fixed-asset investment and industrial structure evolution in China–Based on Directed Acyclic Graph (DAG) analysis and VAR model," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 222-231.
    17. Liu, Yazhou & Bian, Jiacong & Li, Xiangmei & Liu, Shuyi & Lageson, David & Yin, Yingkai, 2020. "The optimization of regional industrial structure under the water-energy constraint: A case study on Hebei Province in China," Energy Policy, Elsevier, vol. 143(C).
    18. Ge, Tao & Cai, Xuesen & Song, Xiaowei, 2022. "How does renewable energy technology innovation affect the upgrading of industrial structure? The moderating effect of green finance," Renewable Energy, Elsevier, vol. 197(C), pages 1106-1114.
    19. Wang, Di & Ren, Cairu & Zhou, Tao, 2021. "Understanding the impact of land finance on industrial structure change in China: Insights from a spatial econometric analysis," Land Use Policy, Elsevier, vol. 103(C).
    20. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    21. Zhao, Xin & Shang, Yuping & Song, Malin, 2020. "Industrial structure distortion and urban ecological efficiency from the perspective of green entrepreneurial ecosystems," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    22. Pardo Martínez, Clara Inés & Silveira, Semida, 2012. "Analysis of energy use and CO2 emission in service industries: Evidence from Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5285-5294.
    23. Xiongfeng Pan & Mengna Li & Chenxi Pu & Haitao Xu, 2021. "Study on the industrial structure optimization under constraint of energy intensity," Energy & Environment, , vol. 32(1), pages 134-151, February.
    24. Liu, Jingming & Hou, Xianhui & Wang, Zhanqi & Shen, Yue, 2021. "Study the effect of industrial structure optimization on urban land-use efficiency in China," Land Use Policy, Elsevier, vol. 105(C).
    25. Paul Joskow, 2005. "Regulation and Deregulation after 25 Years: Lessons Learned for Research in Industrial Organization," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 26(2), pages 169-193, December.
    26. Han, Feng & Xie, Rui & Fang, Jiayu, 2018. "Urban agglomeration economies and industrial energy efficiency," Energy, Elsevier, vol. 162(C), pages 45-59.
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    More about this item

    Keywords

    service sector agglomeration; industrial structure rationalization; industrial structure upgrading; resource-based city; China;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy

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