IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i12p5103-d375108.html
   My bibliography  Save this article

The Relationship between High Speed Rail and Tourism

Author

Listed:
  • Rong-Chang Jou

    (Department of Civil Engineering, National Chi Nan University, Nantou 54561, Taiwan)

  • Ke-Hong Chen

    (Department of Civil Engineering, National Chi Nan University, Nantou 54561, Taiwan)

Abstract

Much research has verified that the active development of the High Speed Rail (HSR) can create business activities and promote tourism growth. However, based on the related research review, there is currently a lack of profound discussion on the development of the overall transportation system and tourism growth in Taiwan, thus, this study intends to discuss this issue and hopes to provide an important reference for future regional development. This study conducts an in-depth investigation of the relationship between HSR and tourism volume. The Difference in Difference (DID) model is used to verify the impact of HSR services on the tourism volume in Taiwan. In addition, the aggregate data of socio-economic variables and the constituent factors of the transportation mode are incorporated. Finally, the possible consequences are described through elastic analysis. The results of this study can be an important reference for the future development of counties and cities.

Suggested Citation

  • Rong-Chang Jou & Ke-Hong Chen, 2020. "The Relationship between High Speed Rail and Tourism," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:5103-:d:375108
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/12/5103/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/12/5103/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    2. Cascetta, Ennio & Papola, Andrea & Pagliara, Francesca & Marzano, Vittorio, 2011. "Analysis of mobility impacts of the high speed Rome–Naples rail link using withinday dynamic mode service choice models," Journal of Transport Geography, Elsevier, vol. 19(4), pages 635-643.
    3. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    4. Zhenhua Chen & Kingsley E. Haynes, 2015. "Impact of high-speed rail on international tourism demand in China," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 57-60, January.
    5. 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.
    6. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    7. Card, David & Sullivan, Daniel G, 1988. "Measuring the Effect of Subsidized Training Programs on Movements in and out of Employment," Econometrica, Econometric Society, vol. 56(3), pages 497-530, May.
    8. 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.
    9. 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.
    10. Campa, Juan Luis & López-Lambas, María Eugenia & Guirao, Begoña, 2016. "High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience," Journal of Transport Geography, Elsevier, vol. 57(C), pages 44-54.
    11. Winnie Yip & Karen Eggleston, 2001. "Provider payment reform in China: the case of hospital reimbursement in Hainan province," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 325-339, June.
    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. Yanan Li & Sid Terason, 2023. "Configuring the Pattern of Sustainable Tourism Development as Affected by the Construction of a High-Speed Railway System," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Mengdi Liu & Yanan Li & María de los Ángeles Pérez-Sánchez & Jianji Luo & Naipeng Bu & Yu Chen & Jiangshan Bao, 2022. "Empirical Study on the Sustainable Development of Mountain Tourism in the Early Stage of High-Speed Railways—Taking the Southwest Mountainous Region of China as an Example," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    3. Weiwei Zhang & Lingling Jiang, 2021. "Effects of High-Speed Rail on Sustainable Development of Urban Tourism: Evidence from Discrete Choice Model of Chinese Tourists’ Preference for City Destinations," Sustainability, MDPI, vol. 13(19), pages 1-19, September.

    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. 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.
    2. Zhou Bo & Li Ningqiao, 2018. "The impact of high-speed trains on regional tourism economies," Tourism Economics, , vol. 24(2), pages 187-203, March.
    3. 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).
    4. 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.
    5. Campa, Juan Luis & Arce, Rosa & López-Lambas, María Eugenia & Guirao, Begoña, 2018. "Can HSR improve the mobility of international tourists visiting Spain? Territorial evidence derived from the Spanish experience," Journal of Transport Geography, Elsevier, vol. 73(C), pages 94-107.
    6. Aaron Gutiérrez & Daniel Miravet & Òscar Saladié & Salvador Anton Clavé, 2020. "High-speed rail, tourists’ destination choice and length of stay: A survival model analysis," Tourism Economics, , vol. 26(4), pages 578-597, June.
    7. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    8. 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.
    9. 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.
    10. Zhiqiang Hou & Lena Jingen Liang & Bo Meng & HwanSuk Chris Choi, 2021. "The Role of Perceived Quality on High-Speed Railway Tourists’ Behavioral Intention: An Application of the Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    11. Deng, Taotao & Gan, Chen & Du, Huiping & Hu, Yukun & Wang, Dandan, 2021. "Do high speed rail configurations matter to tourist arrivals? Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 90(C).
    12. 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.
    13. 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.
    14. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    15. Daniel Albalate del sol, 2015. "Evaluating HSR availability on Tourism: Evidence from Spanish Provinces and Cities," ERSA conference papers ersa15p288, European Regional Science Association.
    16. 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.
    17. Daniel Albalate & Javier Campos & Juan Luis Jiménez, 2015. "“Tourism and high speed rail in Spain: Does the AVE increase local visitors?”," IREA Working Papers 201527, University of Barcelona, Research Institute of Applied Economics, revised Dec 2015.
    18. 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.
    19. 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).
    20. 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.

    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:12:y:2020:i:12:p:5103-:d:375108. 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.