IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8518-d860877.html
   My bibliography  Save this article

Mismatch and Coupling: A Study on the Synergistic Development of Tourism-Economy-Ecology Systems in the Pearl River Delta

Author

Listed:
  • Bo Tang

    (School of Resources and Planning, Guangzhou Xinhua University, Guangzhou 510520, China)

  • Hao Luo

    (School of Resources and Planning, Guangzhou Xinhua University, Guangzhou 510520, China)

Abstract

The integrated study of the tourism-economy-ecosystem plays a significant role in regional high-quality development. In this study, methods including the Spatial Mismatch Hypothesis (SMH), coupling coordination degree and a gravity model are adopted in combination to explore the evolution characteristics of the Tourism-Economy-Ecology (TEE) systems in the Pearl River Delta (PRD) from 2009 to 2019 from four perspectives: development level, spatial mismatch, coupling coordination and spatial mismatch-coupling coordination. The research results are presented as follows. Firstly, the overall development level of the three subsystems shows improvement, the overall pattern of tourism and economic development levels shows similarity, the polarization of tourism development reaches a relatively significant level, and the changes in the ecological subsystem are more significant than those in other subsystems. Secondly, the spatial mismatch direction and level of cities are relatively stable, and the mismatch index of high-grade cities varies considerably, while the tourism subsystem contributes significantly to the occurrence of spatial mismatch in the regional system. Thirdly, the coupling and coordination level of the system in the east is higher than in the west, with a vast majority of them in the state of near-mismatch, while the coupling and coordination state is more stable in most cities and tends to be coordinated. Guangzhou, Shenzhen and Foshan represent the crucial nodes of regional system coupling and coordination. The opening of high-speed railway lines enhances the connection between cities, and it remains necessary to enhance the coupling and coordination across various economic circles. Lastly, according to the comparison of spatial mismatch-coupling coordination linkage, these cities can be classified into three categories: prominent core cities, coordinating sub-cities, and potential peripheral cities. To be specific, Guangzhou and Shenzhen represent prominent core cities, Dongguan, Foshan and Huizhou represent coordinated secondary cities, and Zhuhai, Zhongshan, Jiangmen and Zhaoqing represent potential peripheral cities.

Suggested Citation

  • Bo Tang & Hao Luo, 2022. "Mismatch and Coupling: A Study on the Synergistic Development of Tourism-Economy-Ecology Systems in the Pearl River Delta," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8518-:d:860877
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8518/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/14/8518/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bojan Krstic & Sonja Jovanovic & Vesna Jankovic-Milic & Tanja Stanisic, 2016. "Examination of travel and tourism competitiveness contribution to national economy competitiveness of sub-Saharan Africa countries," Development Southern Africa, Taylor & Francis Journals, vol. 33(4), pages 470-485, July.
    2. Fredrik Andersson & John C. Haltiwanger & Mark J. Kutzbach & Henry O. Pollakowski & Daniel H. Weinberg, 2018. "Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 203-218, May.
    3. Valerie Preston & Sara McLafferty, 1999. "articles: Spatial mismatch research in the 1990s: progress and potential," Papers in Regional Science, Springer;Regional Science Association International, vol. 78(4), pages 387-402.
    4. Donald S. Houston, 2005. "Methods to Test the Spatial Mismatch Hypothesis," Economic Geography, Taylor & Francis Journals, vol. 81(4), pages 407-434, October.
    5. Xia Wang & Danli Liu, 2020. "The Coupling Coordination Relationship between Tourism Competitiveness and Economic Growth of Developing Countries," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    6. Zhen Su & Joshua R. Aaron & William C. McDowell & Dan Dan Lu, 2019. "Sustainable Synergies between the Cultural and Tourism Industries: An Efficiency Evaluation Perspective," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    7. Josef A. Mazanec & Amata Ring, 2011. "Tourism Destination Competitiveness: Second Thoughts on the World Economic Forum Reports," Tourism Economics, , vol. 17(4), pages 725-751, August.
    8. John F. Kain, 1968. "Housing Segregation, Negro Employment, and Metropolitan Decentralization," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(2), pages 175-197.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhijun Chen & Suting Zhao & Meiju Wu, 2023. "Coupling Coordination and Spatial Evolution of Sustainable Tourism-Innovation-Environment System: Evidence in China," SAGE Open, , vol. 13(4), pages 21582440231, October.

    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. Maré, David C. & Fabling, Richard & Hyslop, Dean, 2023. "Job Displacement and Local Employment Density," IZA Discussion Papers 16685, Institute of Labor Economics (IZA).
    2. Janeria Easley, 2018. "Spatial mismatch beyond black and white: Levels and determinants of job access among Asian and Hispanic subpopulations," Urban Studies, Urban Studies Journal Limited, vol. 55(8), pages 1800-1820, June.
    3. Gary Painter & Cathy Yang Liu & Duan Zhuang, 2007. "Immigrants and the Spatial Mismatch Hypothesis: Employment Outcomes among Immigrant Youth in Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 44(13), pages 2627-2649, December.
    4. Laurent Gobillon & Harris Selod & Yves Zenou, 2007. "The Mechanisms of Spatial Mismatch," Urban Studies, Urban Studies Journal Limited, vol. 44(12), pages 2401-2427, November.
    5. Bonomi Barufi, Ana Maria & Amaral Haddad, Eduardo, 2016. "Spatial Mismatch, Wages and Unemployment in Brazilian Metropolitan Areas," TD NEREUS 9-2016, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    6. Liping Wang & Cifang Wu & Songnian Zhao, 2022. "A Review of Spatial Mismatch Research: Empirical Debate, Theoretical Evolution and Connotation Expansion," Land, MDPI, vol. 11(7), pages 1-16, July.
    7. Jangik Jin & Kurt Paulsen, 2018. "Does accessibility matter? Understanding the effect of job accessibility on labour market outcomes," Urban Studies, Urban Studies Journal Limited, vol. 55(1), pages 91-115, January.
    8. Abu-Qarn, Aamer & Lichtman-Sadot, Shirlee, 2019. "Connecting Disadvantaged Communities to Work and Higher Education Opportunities: Evidence from Public Transportation Penetration to Arab Towns in Israel," IZA Discussion Papers 12824, Institute of Labor Economics (IZA).
    9. Justin Tyndall, 2017. "Waiting for the R train: Public transportation and employment," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 520-537, February.
    10. Cathy Yang Liu, 2009. "Ethnic enclave residence, employment, and commuting of Latino workers," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 600-625.
    11. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Meina Zheng & Feng Liu & Xiucheng Guo & Xinyue Lei, 2019. "Assessing the Distribution of Commuting Trips and Jobs-Housing Balance Using Smart Card Data: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    13. Fredrik Andersson & John C. Haltiwanger & Mark J. Kutzbach & Henry O. Pollakowski & Daniel H. Weinberg, 2018. "Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 203-218, May.
    14. Kawata, Keisuke & Sato, Yasuhiro, 2012. "On-the-job search in urban areas," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 715-726.
    15. Bartik, Timothy J., 2024. "Long-run effects on county employment rates of demand shocks to county and commuting zone employment," Regional Science and Urban Economics, Elsevier, vol. 105(C).
    16. Cathy Yang Liu, 2008. "Ethnic Enclave Residence & Employment Accessibility of Latino Workers in Chicago, Los Angeles, Washington DC," Working Paper 8536, USC Lusk Center for Real Estate.
    17. Jieun Lee & Igor Vojnovic & Sue C Grady, 2018. "The ‘transportation disadvantaged’: Urban form, gender and automobile versus non-automobile travel in the Detroit region," Urban Studies, Urban Studies Journal Limited, vol. 55(11), pages 2470-2498, August.
    18. Maarten Van Ham & Felix Buchel, 2006. "Unwilling or unable? spatial and socio-economic restrictions on females' labour market access," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 345-357.
    19. Anzhelika Antipova, 2020. "Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    20. Maite Blázquez & Carlos Llano & Julian Moral, 2010. "Commuting Times: Is There Any Penalty for Immigrants?," Urban Studies, Urban Studies Journal Limited, vol. 47(8), pages 1663-1686, July.

    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:gam:jsusta:v:14:y:2022:i:14:p:8518-:d:860877. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.