IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i6p3416-d520428.html
   My bibliography  Save this article

Analyzing the Impact of High-Speed Rail on Tourism with Parametric and Non-Parametric Methods: The Case Study of China

Author

Listed:
  • Francesca Pagliara

    (Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, 80125 Napoli, Italy)

  • Filomena Mauriello

    (Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, 80125 Napoli, Italy)

  • Yin Ping

    (Department of Tourism Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

High-speed rail (HSR) and tourism are closely related activities since improved mobility is perceived to facilitate tourist behavioral changes. The interest in research is very high and this contribution tries to provide an insight into this topic by making a comparison between the estimation of the parametric Generalized Estimating Equation (GEE) approaches with the non-parametric Classification and Regression Tree (CART). A dataset containing information both on tourism and transport for thirty Chinese provinces, during the 2001–2017 period, has been collected. The finding of this paper shows that the presence of HSR has value in the explanation of tourist arrivals.

Suggested Citation

  • Francesca Pagliara & Filomena Mauriello & Yin Ping, 2021. "Analyzing the Impact of High-Speed Rail on Tourism with Parametric and Non-Parametric Methods: The Case Study of China," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3416-:d:520428
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/6/3416/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/6/3416/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    2. Pagliara, Francesca & Mauriello, Filomena & Garofalo, Antonio, 2017. "Exploring the interdependences between High Speed Rail systems and tourism: Some evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 300-308.
    3. Pagliara, Francesca & Mauriello, Filomena, 2020. "Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 780-790.
    4. Sophie Masson & Romain Petiot, 2009. "Can the high speed rail reinforce tourism attractiveness ? The case of the hagh speed rail between Perpignan (france) and Barcelona (Spain)," Post-Print hal-03062650, HAL.
    5. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    6. 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.
    7. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    8. Yin, Ping & Lin, Zhibin & Prideaux, Bruce, 2019. "The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin," Journal of Transport Geography, Elsevier, vol. 80(C).
    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. Li, Guangqin & Pu, Kangyun & Long, Minghui, 2023. "High-speed rail connectivity, space-time distance compression, and trans-regional tourism flows: Evidence from China's inbound tourism," Journal of Transport Geography, Elsevier, vol. 109(C).

    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. Mariano Gallo & Rosa Anna La Rocca, 2022. "The Impact of High-Speed Rail Systems on Tourist Attractiveness in Italy: Regression Models and Numerical Results," Sustainability, MDPI, vol. 14(21), pages 1-33, October.
    2. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    3. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    4. 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.
    5. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    6. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    7. Bingyu Wu & Weidong Li & Jingyu Chen, 2022. "Networked Transport and Economic Growth: Does High-Speed Rail Narrow the Gap between Cities in China?," Sustainability, MDPI, vol. 14(10), pages 1-20, May.
    8. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    9. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    10. Taotao Deng & Chen Gan & Yukun Hu, 2021. "Do hotel business benefit from increased tourist accessibility? Evidence from China’s high-speed railway program," Tourism Economics, , vol. 27(7), pages 1357-1374, November.
    11. Ren, Xiaohang & Zeng, Gudian & Dong, Kangyin & Wang, Kun, 2023. "How does high-speed rail affect tourism development? The case of the Sichuan-Chongqing Economic Circle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    12. Sun, Xinyu & Yan, Sen & Liu, Tao & Wang, Jiayin, 2023. "The impact of high-speed rail on urban economy: Synergy with urban agglomeration policy," Transport Policy, Elsevier, vol. 130(C), pages 141-154.
    13. Yuejiao Lv & Yajuan Chen, 2022. "Research on the Evolution Characteristics and Synergistic Relationship between HSR Network and Economic Network in Hubei Province," Sustainability, MDPI, vol. 14(15), pages 1-25, July.
    14. Henke, Ilaria & Moyano, Amparo & Pagliara, Francesca, 2023. "Influence of high-speed rail on the decentralisation of events from big metropolitan areas to smaller intermediate cities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    15. Yanyan Gao & Yongqing Nan & Shunfeng Song, 2022. "High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1012-1036, September.
    16. Bo Zhou & Zhihong Wen & Ian Sutherland & Seul Ki Lee, 2022. "The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China," Tourism Economics, , vol. 28(2), pages 300-324, March.
    17. Boto-García, David & Pérez, Levi, 2023. "The effect of high-speed rail connectivity and accessibility on tourism seasonality," Journal of Transport Geography, Elsevier, vol. 107(C).
    18. Xu, Wangtu (Ato) & Zhou, Jiangping & Qiu, Guo, 2018. "China's high-speed rail network construction and planning over time: a network analysis," Journal of Transport Geography, Elsevier, vol. 70(C), pages 40-54.
    19. Rong-Chang Jou & Ke-Hong Chen, 2020. "The Relationship between High Speed Rail and Tourism," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    20. Francesca Pagliara & Filomena Mauriello & Lucia Russo, 2020. "A Regression Tree Approach for Investigating the Impact of High Speed Rail on Tourists’ Choices," Sustainability, MDPI, vol. 12(3), pages 1-15, January.

    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:13:y:2021:i:6:p:3416-:d:520428. 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.