IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0297755.html
   My bibliography  Save this article

Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle

Author

Listed:
  • Zhixia Wu
  • Xiazhong Zheng
  • Yijun Chen
  • Shan Huang
  • Chenfei Duan
  • Wenli Hu

Abstract

The high-quality development of service industry has become an important engine for promoting sustainable economic development. This paper first constructed the evaluation index system of high-quality development of service industry, based on panel data from 2005 to 2020. Second, Kernel density, Markov chain and Dagum Gini coefficient were used to represent the regional differences and dynamic evolution of service industry, and the Koo method was used to explore the characteristics of spatial agglomeration. Finally, social network analysis was used to identify core indicators. The study found that: (1) From 2005 to 2020, the overall level of service industry first decreases and then increases, with Chengdu and Chongqing leading other cities. (2) The development of service industry in the CCEC has large spatial differences, mainly due to inter-regional differences. (3) The level of spatial agglomeration is less variable, with high agglomeration mainly in Chengdu. (4) Indicators such as the level of human capital are the core factors of its high-quality development. This study is of great theoretical and practical significance for the optimization and upgrading of service industry in the CCEC and the synergetic development of the region.

Suggested Citation

  • Zhixia Wu & Xiazhong Zheng & Yijun Chen & Shan Huang & Chenfei Duan & Wenli Hu, 2024. "Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-22, March.
  • Handle: RePEc:plo:pone00:0297755
    DOI: 10.1371/journal.pone.0297755
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297755
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0297755&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0297755?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sun, Shaoqin & Li, Xing, 2022. "Productive services agglomeration, financial development and regional innovation efficiency in the Yangtze River Economic Zone," Finance Research Letters, Elsevier, vol. 50(C).
    2. Ning Qi & Xuemei Tan & Tengfei Wu & Qing Tang & Fengshou Ning & Debin Jiang & Tengtun Xu & Hong Wu & Lingxiao Ren & Wei Deng, 2022. "Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle," IJERPH, MDPI, vol. 19(7), pages 1-16, April.
    3. Jianguo Liu & Mingyu Zhao, 2020. "Study on Evolution and Interaction of Service Industry Agglomeration and Efficiency of Hebei Province China," Complexity, Hindawi, vol. 2020, pages 1-12, July.
    4. Wouter Jacobs & Hans R. A. Koster & Frank van Oort, 2014. "Co-agglomeration of knowledge-intensive business services and multinational enterprises," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 443-475.
    5. John Humphrey & Hubert Schmitz, 2002. "How does insertion in global value chains affect upgrading in industrial clusters?," Regional Studies, Taylor & Francis Journals, vol. 36(9), pages 1017-1027.
    6. Chaohui Zhang & Xin Dong & Ze Zhang, 2023. "Spatiotemporal Dynamic Distribution, Regional Differences and Spatial Convergence Mechanisms of Carbon Emission Intensity: Evidence from the Urban Agglomerations in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-28, February.
    7. Andrés Vallone & Coro Chasco, 2020. "Spatiotemporal methods for analysis of urban system dynamics: an application to Chile," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 421-454, April.
    8. Joseph Francois & Julia Woerz, 2008. "Producer Services, Manufacturing Linkages, and Trade," Journal of Industry, Competition and Trade, Springer, vol. 8(3), pages 199-229, December.
    9. Mei Yang & Mengyun Jiao & Jinyu Zhang, 2022. "Research on Urban Resilience and Influencing Factors of Chengdu-Chongqing Economic Circle," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    10. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    11. Lanaspa, Luis & Sanz-Gracia, Fernando & Vera-Cabello, María, 2016. "The (strong) interdependence between intermediate producer services' attributes and manufacturing location," Economic Modelling, Elsevier, vol. 57(C), pages 1-12.
    12. Kun Chen & Yinrong Chen & Min Liu & Yi Chen, 2023. "Research on the Spatio-Temporal Characteristics and Influence Path of High-Quality Economic Development from the Perspective of Urban Land Transfer," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    13. Jun Koo, 2007. "Determinants of Localized Technology Spillovers: Role of Regional and Industrial Attributes," Regional Studies, Taylor & Francis Journals, vol. 41(7), pages 995-1011.
    14. Han, Feng & Xie, Rui & Fang, Jiayu, 2018. "Urban agglomeration economies and industrial energy efficiency," Energy, Elsevier, vol. 162(C), pages 45-59.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jan Ženka & Josef Novotný & Ondřej Slach & Igor Ivan, 2017. "Spatial Distribution of Knowledge-Intensive Business Services in a Small Post-Communist Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(2), pages 385-406, June.
    2. MARSCHINSKI Robert & DE AMORES HERNANDEZ Antonio & AMOROSO Sara & BAUER Peter & CARDANI Roberta & CSEFALVAY Zoltan & GENTY Aurelien & GKOTSIS Petros & GREGORI Wildmer & GRASSANO Nicola & HERNANDEZ GUE, 2021. "EU competitiveness: recent trends, drivers, and links to economic policy: A Synthesis Report," JRC Research Reports JRC123232, Joint Research Centre.
    3. 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).
    4. Tuochen Li & Dongri Han & Shaosong Feng & Lei Liang, 2019. "Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?," Sustainability, MDPI, vol. 11(15), pages 1-15, July.
    5. Ping Lu & Jianhui Liu & Yunxuan Wang & Lei Ruan, 2021. "Can industrial agglomeration improve regional green total factor productivity in China? An empirical analysis based on spatial econometrics," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1011-1039, June.
    6. Zhimin Peng & Miao Li, 2025. "Carbon Emissions Intensity of the Transportation Sector in China: Spatiotemporal Differentiation, Trends Forecasting and Convergence Characteristics," Sustainability, MDPI, vol. 17(3), pages 1-30, January.
    7. Jovanović, Miroslav N., 2019. "The Supply Chain Economy: How Far does it Spread in Space and Time?," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(4), pages 393-452.
    8. Epede, Mesumbe Bianca & Wang, Daoping, 2022. "Global value chain linkages: An integrative review of the opportunities and challenges for SMEs in developing countries," International Business Review, Elsevier, vol. 31(5).
    9. Lorenzo Ciapetti, 2011. "Technological Change, Knowledge Integration and Adaptive Processes: The Mechatronic Evolution of the Reggio Emilia District," Chapters, in: Paul L. Robertson & David Jacobson (ed.), Knowledge Transfer and Technology Diffusion, chapter 5, Edward Elgar Publishing.
    10. Jan Fagerberg & Bengt-Åke Lundvall & Martin Srholec, 2018. "Global Value Chains, National Innovation Systems and Economic Development," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 533-556, July.
    11. Joseph Francois & Bernard Hoekman, 2010. "Services Trade and Policy," Journal of Economic Literature, American Economic Association, vol. 48(3), pages 642-692, September.
    12. Ellis Scharfenaker, Markus P.A. Schneider, 2019. "Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data," Working Paper Series, Department of Economics, University of Utah 2019_08, University of Utah, Department of Economics.
    13. Sjauw-Koen-Fa, August R. & Blok, Vincent & Omta, S.W.F. (Onno), 2016. "Critical Success Factors for Smallholder Inclusion in High Value-Adding Supply Chains by Food & Agribusiness Multinational Enterprise," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(01), pages 1-30, February.
    14. Stefano Micelli, 2012. "The metropolitan area of Venice in the changing economy of the North East," Chapters, in: Peter Karl Kresl & Daniele Ietri (ed.), European Cities and Global Competitiveness, chapter 8, pages 130-150, Edward Elgar Publishing.
    15. Stéphane Mussard & Kuan Xu, 2006. "Multidimensional Decomposition of the Sen Index: Some Further Thoughts," Cahiers de recherche 06-08, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    16. Gideon Ndubuisi & Solomon Owusu, 2021. "How important is GVC participation to export upgrading?," The World Economy, Wiley Blackwell, vol. 44(10), pages 2887-2908, October.
    17. Charles Condevaux & Stéphane Mussard & Téa Ouraga & Guillaume Zambrano, 2020. "Generalized Gini linear and quadratic discriminant analyses," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 219-236, August.
    18. Alex Hughes & Cheryl McEwan & David Bek, 2015. "Postcolonial Perspectives on Global Production Networks: Insights from Flower Valley in South Africa," Environment and Planning A, , vol. 47(2), pages 249-266, February.
    19. Luc Savard & Stéphane Mussard, 2005. "Micro-simulation and Multi-decomposition: A Case Study: Philippines," Cahiers de recherche 05-02, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    20. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0297755. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.