IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v30y2024i1p44-66.html
   My bibliography  Save this article

Determinant of the tourism economy in Chinese cities: from an urban centrality perspective

Author

Listed:
  • Jieping Chen
  • Chao Ma
  • Shijun Chen

Abstract

This paper aims to analyze and explain how urban centrality influences tourism development in a city. Based on the panel data of 295 prefecture-level cities in China from 2005 to 2018, the paper develops explanatory mechanisms and discusses the influence theoretically and empirically. To advance the analysis, this paper constructs a new index for urban centrality. Our empirical findings are as follows: (1) urban centrality promotes tourism income significantly. (2) Mechanism analysis illustrates that urban centrality fosters tourism through the agglomeration and industrial structure effects. (3) Heterogenous analysis suggests that the influence of urban centrality on tourism varies with city sizes and locations.

Suggested Citation

  • Jieping Chen & Chao Ma & Shijun Chen, 2024. "Determinant of the tourism economy in Chinese cities: from an urban centrality perspective," Tourism Economics, , vol. 30(1), pages 44-66, February.
    • Handle: RePEc:sae:toueco:v:30:y:2024:i:1:p:44-66
    DOI: 10.1177/13548166221132124
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/13548166221132124
    Download Restriction: no
    File URL: https://libkey.io/10.1177/13548166221132124?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. Sihong Chen & Jianchao Xi & Menghao Liu & Tao Li, 2020. "Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways," Complexity, Hindawi, vol. 2020, pages 1-22, July.
    2. Ibon Aranburu & Beatriz Plaza & Marisol Esteban, 2016. "Sustainable Cultural Tourism in Urban Destinations: Does Space Matter?," Sustainability, MDPI, vol. 8(8), pages 1-14, July.
    3. Koun Sugimoto & Kei Ota & Shohei Suzuki, 2019. "Visitor Mobility and Spatial Structure in a Local Urban Tourism Destination: GPS Tracking and Network analysis," Sustainability, MDPI, vol. 11(3), pages 1-17, February.
    4. Arturs Kalnins & Wilbur Chung, 2004. "Resource‐seeking agglomeration: a study of market entry in the lodging industry," Strategic Management Journal, Wiley Blackwell, vol. 25(7), pages 689-699, July.
    5. Denicolai, Stefano & Cioccarelli, Gabriele & Zucchella, Antonella, 2010. "Resource-based local development and networked core-competencies for tourism excellence," Tourism Management, Elsevier, vol. 31(2), pages 260-266.
    6. Xinhua Zhu & Qianli Wang & Peifeng Zhang & Yunjiang Yu & Lingling Xie, 2021. "Optimizing the spatial structure of urban agglomeration: based on social network analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 683-705, April.
    7. Liu, Bing & Huang, Songshan (Sam) & Fu, Hui, 2017. "An application of network analysis on tourist attractions: The case of Xinjiang, China," Tourism Management, Elsevier, vol. 58(C), pages 132-141.
    8. Ron Boschma & Anne L. J. ter Wal, 2007. "Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 177-199.
    9. Stienmetz, Jason L. & Fesenmaier, Daniel R., 2015. "Estimating value in Baltimore, Maryland: An attractions network analysis," Tourism Management, Elsevier, vol. 50(C), pages 238-252.
    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. Qian Yao & Yong Shi & Hai Li & Jiahong Wen & Jianchao Xi & Qingwei Wang, 2020. "Understanding the Tourists’ Spatio-Temporal Behavior Using Open GPS Trajectory Data: A Case Study of Yuanmingyuan Park (Beijing, China)," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    2. Huanhuan Hua & Amare Wondirad, 2020. "Tourism Network in Urban Agglomerated Destinations: Implications for Sustainable Tourism Destination Development through a Critical Literature Review," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    3. Monther M. Jamhawi & Roa’a J. Zidan & Mohammed Fareed Sherzad, 2023. "Tourist Movement Patterns and the Effects of Spatial Configuration in a Cultural Heritage and Urban Destination: The Case of Madaba, Jordan," Sustainability, MDPI, vol. 15(2), pages 1-25, January.
    4. Khalilzadeh, Jalayer, 2018. "Demonstration of exponential random graph models in tourism studies: Is tourism a means of global peace or the bottom line?," Annals of Tourism Research, Elsevier, vol. 69(C), pages 31-41.
    5. Kai Wang & Menghan Wang & Chang Gan & Qinchang Chen & Mihai Voda, 2021. "Tourism Economic Network Structural Characteristics of National Parks in the Central Region of China," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    6. Speldekamp, Daniël & Knoben, Joris & Saka-Helmhout, Ayse, 2020. "Clusters and firm-level innovation: A configurational analysis of agglomeration, network and institutional advantages in European aerospace," Research Policy, Elsevier, vol. 49(3).
    7. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    8. Ana Muñoz-Mazón & Laura Fuentes-Moraleda & Angela Chantre-Astaiza & Marlon-Felipe Burbano-Fernandez, 2019. "The Study of Tourist Movements in Tourist Historic Cities: A Comparative Analysis of the Applicability of Four Different Tools," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    9. Ding Ding & Yunhao Zheng & Yi Zhang & Yu Liu, 2024. "Understanding attractions’ connection patterns based on intra-destination tourist mobility: A network motif approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    10. Damiano Cortese & Elisa Giacosa & Valter Cantino, 2021. "Knowledge sharing for coopetition in tourist destinations: the difficult path to the network," Review of Managerial Science, Springer, vol. 15(2), pages 275-286, February.
    11. Frida Thomas Pacho, 2018. "Diversified Network Effects on Innovation Performance in Tanzania: Innovation Strategy in Service Firms," Journal of Entrepreneurship and Business Innovation, Macrothink Institute, Journal of Entrepreneurship and Business Innovation, vol. 5(1), pages 1-1, December.
    12. Mark J. O. Bagley, 2019. "Networks, geography and the survival of the firm," Journal of Evolutionary Economics, Springer, vol. 29(4), pages 1173-1209, September.
    13. Rodríguez-Pose, Andrés & Zhang, Min, 2020. "The cost of weak institutions for innovation in China," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    14. Sándor Juhász, 2021. "Spinoffs and tie formation in cluster knowledge networks," Small Business Economics, Springer, vol. 56(4), pages 1385-1404, April.
    15. Tom Broekel & Wladimir Mueller, 2018. "Critical links in knowledge networks – What about proximities and gatekeeper organisations?," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 919-939, November.
    16. Mário Franco & Lurdes Esteves & Margarida Rodrigues, 2024. "Clusters as a Mechanism of Sharing Knowledge and Innovation: Case Study from a Network Approach," Global Business Review, International Management Institute, vol. 25(2), pages 377-400, April.
    17. Ron Boschma & Ron Martin, 2010. "The Aims and Scope of Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 1, Edward Elgar Publishing.
    18. Park, Jinah & Qiu, Richard T.R. & Jiao, Xiaoying & Song, Haiyan, 2024. "Reference-dependence in multi-destination choice: A heterogeneous reference point perspective," Annals of Tourism Research, Elsevier, vol. 109(C).
    19. Stefano Usai & Emanuela Marrocu & Raffaele Paci, 2017. "Networks, Proximities, and Interfirm Knowledge Exchanges," International Regional Science Review, , vol. 40(4), pages 377-404, July.
    20. Hugo Padrón-Ávila & Raúl Hernández-Martín, 2019. "Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions," Sustainability, MDPI, vol. 11(19), pages 1-17, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:sae:toueco:v:30:y:2024:i:1:p:44-66. 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: SAGE Publications (email available below). General contact details of provider: .

    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.