IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i23p6743-d291701.html
   My bibliography  Save this article

Spatial-Temporal Pattern and Its Influencing Factors on Urban Tourism Competitiveness in City Agglomerations Across the Guanzhong Plain

Author

Listed:
  • Jia Wan

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    National Demonstration Centre for Experimental Geography Education, Shaanxi Normal University, Xi’an 710119, China
    School of Economics, North Minzu University, Yinchuan 750021, China)

  • Junping Yan

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    National Demonstration Centre for Experimental Geography Education, Shaanxi Normal University, Xi’an 710119, China)

  • Xiaomeng Wang

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    National Demonstration Centre for Experimental Geography Education, Shaanxi Normal University, Xi’an 710119, China)

  • Ziqiang Liu

    (School of Economics, North Minzu University, Yinchuan 750021, China)

  • Hui Wang

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    National Demonstration Centre for Experimental Geography Education, Shaanxi Normal University, Xi’an 710119, China)

  • Ting Wang

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    National Demonstration Centre for Experimental Geography Education, Shaanxi Normal University, Xi’an 710119, China)

Abstract

Strengthening research on urban tourism competitiveness is vital in evaluating the current situation and potential of urban tourism, maintaining the sustainable development of the tourism economy and assisting in the regional macro decision making. In this study, an index system evaluation of urban tourism competitiveness in city agglomerations across the Guanzhong Plain is established by collecting cross-section data from the years 2017 and 2010. The entropy value method is adopted to determine the index weight. Cluster analysis is performed and the spatial-temporal pattern and evolution laws of urban tourism competitiveness among city agglomerations in the Guanzhong Plain are analyzed and the geographic detector utilized to discuss the influencing factors. Results show that the spatial gradient difference of urban tourism competitiveness of agglomerations in the Guanzhong Plain is significant. In 2010, it presented the characteristic of ‘the high and middle levels having a zonal distribution from east to west, and the low level was distributed along the north and south wings’. In 2017, the characteristic of ‘polarization’ became highly prominent, that is, the scope of high-level and low-level cities expanded and the scope of medium-level cities decreased. Urban tourism competitiveness in city agglomerations across the Guanzhong Plain exhibited a trend of ‘strengthening in the east, weakening in the west’. The competitiveness of resources and management shifted aggressively and supporting factors competitiveness underwent a slight change. The urban tourism competitiveness of city agglomerations in the Guanzhong Plain is generally low, while the urban tourism competitiveness of Xi’an had an absolute advantage in city agglomerations of the Guanzhong Plain. According to the cluster analysis results, resources and management competitiveness, supporting factors competitiveness, demand conditions competitiveness, situational conditions competitiveness and urban tourism competitiveness of Xi’an in 2010 and 2017 were all at an extremely high level, which was relatively higher than the index values of other cities in the city agglomerations of the Guanzhong Plain. Tourism resources, service support capacity, infrastructure support capacity, tourism income scale, tourism reception scale and economic development power are the core influencing factors of urban tourism competitiveness among city agglomerations in the Guanzhong Plain. The single factor explanatory power of destination management indicates a downward trend while the single factor explanatory power of the ecological environment condition shows an upward trend. Tourism resources are the leading interactive factor of urban tourism competitiveness, and destination management and ecological environment condition are the most significant indicators for the collaborative effect.

Suggested Citation

  • Jia Wan & Junping Yan & Xiaomeng Wang & Ziqiang Liu & Hui Wang & Ting Wang, 2019. "Spatial-Temporal Pattern and Its Influencing Factors on Urban Tourism Competitiveness in City Agglomerations Across the Guanzhong Plain," Sustainability, MDPI, vol. 11(23), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6743-:d:291701
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/23/6743/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/23/6743/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Josef A. Mazanec, 1995. "Competition among European Tourist Cities: A Comparative Analysis with Multidimensional Scaling and Self-Organizing Maps," Tourism Economics, , vol. 1(3), pages 283-302, September.
    2. Clem Tisdell, 2001. "Tourism Economics, the Environment and Development," Books, Edward Elgar Publishing, number 1972.
    3. Nishaal Gooroochurn & Guntur Sugiyarto, 2005. "Competitiveness Indicators in the Travel and Tourism Industry," Tourism Economics, , vol. 11(1), pages 25-43, March.
    4. Ping Yin & Francesca Pagliara & Alan Wilson, 2019. "How Does High-Speed Rail Affect Tourism? A Case Study of the Capital Region of China," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    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. 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.
    2. Xiaodong Zhang & Haoying Han & Yongjun Tang & Zhilu Chen, 2023. "Spatial Distribution Characteristics and Driving Factors of Tourism Resources in China," Land, MDPI, vol. 12(5), pages 1-16, May.

    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. José Alberto Martínez-González & Vidina Tais Díaz-Padilla & Eduardo Parra-López, 2021. "Study of the Tourism Competitiveness Model of the World Economic Forum Using Rasch’s Mathematical Model: The Case of Portugal," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    2. Marcelino Sánchez-Rivero & Mª Cristina Rodríguez-Rangel, 2021. "Competitive Benchmarking of Tourism Resources and Products in Extremadura as Factors of Competitiveness by Identifying Strengths and Convergences of Spanish Regions in the Period 2010–2018," Land, MDPI, vol. 11(1), pages 1-20, December.
    3. Zhang, Hong & Gu, Chao-lin & Gu, Lu-wen & Zhang, Yan, 2011. "The evaluation of tourism destination competitiveness by TOPSIS & information entropy – A case in the Yangtze River Delta of China," Tourism Management, Elsevier, vol. 32(2), pages 443-451.
    4. José María Martín Martín & José Antonio Rodriguez Martín & Karla Aída Zermeño Mejía & José Antonio Salinas Fernández, 2018. "Effects of Vacation Rental Websites on the Concentration of Tourists—Potential Environmental Impacts. An Application to the Balearic Islands in Spain," IJERPH, MDPI, vol. 15(2), pages 1-14, February.
    5. Ruiyi Zhao & Ling Li, 2024. "Does digitalization always benefit cultural, sports, and tourism enterprises quality? Unveiling the inverted U-shaped relationship from a resource and capability perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    6. Salinas Fernández, José Antonio & Guaita Martínez, José Manuel & Martín Martín, José María, 2022. "An analysis of the competitiveness of the tourism industry in a context of economic recovery following the COVID19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Paulo H A Feitosa & Amanda B A Silva, 2022. "Length of stay and satisfaction shaping the competitiveness of international business tourism in São Paulo city, Brazil," Tourism Economics, , vol. 28(3), pages 728-747, May.
    8. Juan Luis Campa & Francesca Pagliara & María Eugenia López-Lambas & Rosa Arce & Begoña Guirao, 2019. "Impact of High-Speed Rail on Cultural Tourism Development: The Experience of the Spanish Museums and Monuments," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    9. Áron Kovács & András Bozóti & Zsuzsanna Pótó & Márta Bakucz, 2014. "Medicinal and Thermal Spas in South and West Transdanubia - The Significance of Accessibility," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 5(5), pages 81-98, October.
    10. Tisdell, Clement A. & Wilson, Clevo, 2003. "Economics of Wildlife Tourism," Economics, Ecology and Environment Working Papers 48969, University of Queensland, School of Economics.
    11. Yi Lu, 2022. "The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    12. Henky Lesmana & Sugiarto Sugiarto & Christiana Yosevina & Handyanto Widjojo, 2022. "A Competitive Advantage Model for Indonesia’s Sustainable Tourism Destinations from Supply and Demand Side Perspectives," Sustainability, MDPI, vol. 14(24), pages 1-31, December.
    13. Ayana Yangutova & Suocheng Dong & Hao Cheng & Shuangjie Xu & Fujia Li & Zehong Li & Menghan Zhang & Jingwen Li & Tcogto Bazarzhapov & Tamir Boldanov, 2023. "Assessing the Competitiveness of the Ski Resources around Lake Baikal (Russia) and Measures for Their Further Development," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    14. Cernat, Lucian & Gourdon, Julien, 2005. "Is the concept of sustainable tourism sustainable? Developing the Sustainable Tourism Benchmarking Tool," MPRA Paper 4178, University Library of Munich, Germany.
    15. Antonio Rafael Peña-Sánchez & José Ruiz-Chico & Mercedes Jiménez-García & José Antonio López-Sánchez, 2020. "Tourism and the SDGs: An Analysis of Economic Growth, Decent Employment, and Gender Equality in the European Union (2009–2018)," Sustainability, MDPI, vol. 12(13), pages 1-24, July.
    16. David Perrain & Philippe Jean-Pierre, 2019. "The smart destination strategy, a key factor for changes in vulnerable tourist destinations? [La stratégie de destination intelligente, facteur clé des mutations des destinations touristiques vulné," Post-Print hal-02144769, HAL.
    17. Beata Gavurova & Martin Rigelsky & Martin Mikeska, 2023. "Relationships between road transport indicators and expenditure of visitors in the context of European countries’ tourism competitiveness," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(2), pages 393-418, June.
    18. Laura Grassini & Alessandro Magrini & Enrico Conti, 2023. "Formative-reflective scheme for the assessment of tourism destination competitiveness: an analysis of Italian municipalities," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3523-3548, August.
    19. Yung-Lun Liu & Pen-Fa Ko & Jui-Te Chiang, 2021. "Developing an Evaluation Model for Monitoring Country-Based Tourism Competitiveness," SAGE Open, , vol. 11(3), pages 21582440211, September.
    20. Helena Nemec Rudez & Stefan Bojnec, 2008. "Impacts of the Euro on the Slovenian Tourism Industry," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 6(4), pages 445-460.

    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:11:y:2019:i:23:p:6743-:d:291701. 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.