IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v13y2021i10p63.html
   My bibliography  Save this article

A Study on Economic Spatial Structure of Urban Agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area

Author

Listed:
  • Jincheng Yang
  • Xinqu Xia
  • Mu Zhang

Abstract

Based on the multi-index data of 11 cities in Guangdong-Hong Kong-Macao Greater Bay in 2016, the urban economic quality was calculated by TOPSIS method. Applying the modified gravitational model, the economy spatial linkage characteristics of core city-to-periphery city and periphery city-to-periphery city were analyzed. In addition, based on the method of network density analysis, centrality measures, core-periphery structure analysis to make a further verification about facts carried out from spatial connection analysis. This study shows that the Guangdong-Hong Kong-Macao Bay has an obvious core-periphery structure, and the overall economic network connection of Greater Bay is not strong. Guangdong-Shenzhen-Hong Kong is the core urban agglomeration in the Greater Bay Area. Dongguan and Foshan are transforming from marginal cities to semi-marginal cities. The marginal cities are limited by geographical distance or the economic environment, which leads to their development far behind the overall development of the Greater Bay Area. Finally, combined with the new wooden barrel theory and location advantage analysis method, advices were carried out to build a higher-level of the Greater Bay Area in future by dividing the Greater Bay Area into three major urban agglomerations. Urban agglomerations were proposed to meet the resources and industrial demands of the core urban imperfections and drive the economic development of the marginal cities at the same time.

Suggested Citation

  • Jincheng Yang & Xinqu Xia & Mu Zhang, 2021. "A Study on Economic Spatial Structure of Urban Agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(10), pages 1-63, July.
    • Handle: RePEc:ibn:ijbmjn:v:13:y:2021:i:10:p:63
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/download/0/0/36764/36795
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/view/0/36764
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Frank Bruinsma & Piet Rietveld, 1993. "Urban Agglomerations in European Infrastructure Networks," Urban Studies, Urban Studies Journal Limited, vol. 30(6), pages 919-934, June.
    2. Peter Taylor & Michael Hoyler, 2000. "The spatial order of European cities under conditions of contemporary globalisation," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 91(2), pages 176-189, May.
    3. Kathy Pain, 2008. "Examining 'Core-Periphery' Relationships in a Global City-Region: The Case of London and South East England," Regional Studies, Taylor & Francis Journals, vol. 42(8), pages 1161-1172.
    4. Youngmi Lee, 2011. "Economic Development Networks Among Local Governments," International Review of Public Administration, Taylor & Francis Journals, vol. 16(1), pages 113-134, April.
    5. Jane Rongerude & Mônica Haddad, 2016. "Cores and Peripheries: Spatial Analysis of Housing Choice Voucher Distribution in the San Francisco Bay Area Region, 2000--2010," Housing Policy Debate, Taylor & Francis Journals, vol. 26(3), pages 417-436, May.
    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. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    2. Chen, Shaopei & Claramunt, Christophe & Ray, Cyril, 2014. "A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network," Journal of Transport Geography, Elsevier, vol. 36(C), pages 12-23.
    3. Andrés Rodríguez-Pose & Riccardo Crescenzi, 2008. "Mountains in a flat world: why proximity still matters for the location of economic activity," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(3), pages 371-388.
    4. Bo Liu & Desheng Xue & Yiming Tan, 2019. "Deciphering the Manufacturing Production Space in Global City-Regions of Developing Countries—a Case of Pearl River Delta, China," Sustainability, MDPI, vol. 11(23), pages 1-26, December.
    5. Alain Thierstein & Stefan Lüthi, 2012. "Interlocking Firm Networks in the German Knowledge Economy: The Case of the Emerging Mega-city Region of Munich," Chapters, in: Marina van Geenhuizen & Peter Nijkamp (ed.), Creative Knowledge Cities, chapter 13, Edward Elgar Publishing.
    6. Mohíno, Inmaculada & Ureña, José M. & Solís, Eloy, 2016. "Transport infrastructure and territorial cohesion in rural metro-adjacent regions: A multimodal accessibility approach. The case of Castilla-La Mancha in the context of Madrid (Spain)," Journal of Transport Geography, Elsevier, vol. 57(C), pages 115-133.
    7. Maria Teresa Borzacchiello & Peter Nijkamp & Eric Koomen, 2010. "Accessibility and Urban Development: A Grid-Based Comparative Statistical Analysis of Dutch Cities," Environment and Planning B, , vol. 37(1), pages 148-169, February.
    8. Moyano, Amparo & Martínez, Héctor S. & Coronado, José M., 2018. "From network to services: A comparative accessibility analysis of the Spanish high-speed rail system," Transport Policy, Elsevier, vol. 63(C), pages 51-60.
    9. Cecilia Wong, 2002. "Developing Indicators to Inform Local Economic Development in England," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1833-1863, September.
    10. Pokharel, Ramesh & Bertolini, Luca & te Brömmelstroet, Marco & Acharya, Surya Raj, 2021. "Spatio-temporal evolution of cities and regional economic development in Nepal: Does transport infrastructure matter?," Journal of Transport Geography, Elsevier, vol. 90(C).
    11. Xia, Jianhong(Cecilia) & Nesbitt, Joshua & Daley, Rebekah & Najnin, Arfanara & Litman, Todd & Tiwari, Surya Prasad, 2016. "A multi-dimensional view of transport-related social exclusion: A comparative study of Greater Perth and Sydney," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 205-221.
    12. Peter J. Taylor & D.R.F. Walker, 2001. "World Cities: A First Multivariate Analysis of their Service Complexes," Urban Studies, Urban Studies Journal Limited, vol. 38(1), pages 23-47, January.
    13. Cao, Jing & Liu, Xiaoyue Cathy & Wang, Yinhai & Li, Qingquan, 2013. "Accessibility impacts of China’s high-speed rail network," Journal of Transport Geography, Elsevier, vol. 28(C), pages 12-21.
    14. J Gutiérrez & A Monzón & J M Piñero, 1998. "Accessibility, Network Efficiency, and Transport Infrastructure Planning," Environment and Planning A, , vol. 30(8), pages 1337-1350, August.
    15. Jonathan Rutherford, 2005. "Networks in Cities, Cities in Networks: Territory and Globalisation Intertwined in Telecommunications Infrastructure Development in Europe," Urban Studies, Urban Studies Journal Limited, vol. 42(13), pages 2389-2406, December.
    16. Gilles Van Hamme & Mathieu Strale, 2012. "Port gateways in globalization: the case of Antwerp," Regional Science Policy & Practice, Wiley Blackwell, vol. 4(1), pages 83-96, March.
    17. M Coombes & C Wong, 1994. "Methodological Steps in the Development of Multivariate Indexes for Urban and Regional Policy Analysis," Environment and Planning A, , vol. 26(8), pages 1297-1316, August.
    18. Tanaka, Koichi, 2023. "Impacts of the opening of the maglev railway on daily accessibility in Japan: A comparative analysis with that of the Shinkansen," Journal of Transport Geography, Elsevier, vol. 106(C).
    19. Zhang Weiyang & Derudder Ben, 2016. "Approximating actual flows in physical infrastructure networks: the case of the Yangtze River Delta high-speed railway network," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 31(31), pages 145-160, March.
    20. Zhongfan JING & Guang ZHANG, 2016. "On the Structural Features of Scientific and Technological Innovation Network in China’s Urban System: Based on the Analysis of Cooperation Network of High-Level Papers," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-22, December.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijbmjn:v:13:y:2021:i:10:p:63. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.