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The impact of high-speed trains on regional tourism economies

Author

Listed:
  • Zhou Bo

    (Xiamen University, China)

  • Li Ningqiao

    (Xiamen University, China)

Abstract

This article uses city-level panel data and difference-in-differences (DID) models to evaluate how China Railway High-speed (CRH) train accessibility impacts regional tourism economies in China. On average, CRH accessibility positively affects regional tourism economies, reflected in a 12% net increase in tourism revenue for a region. By dividing the database into different subsets, this study demonstrates that the significantly positive impacts only occur for regions where the overall level of accessibility is low. Moreover, this study reveals that among regions connected by CRH networks, the regions of which the levels of tourism development are comparatively low will experience a bigger jump in tourism economy than the regions of which the levels of tourism development are already high, and hence the dispersion effect of CRH networks is demonstrated. This study also concludes the lagged effects of CRH accessibility are much greater than its immediate effects. By virtue of these conclusions, this study suggests the ways for governments and tourism organizations to take advantage of the development of high-speed trains in China.

Suggested Citation

  • Zhou Bo & Li Ningqiao, 2018. "The impact of high-speed trains on regional tourism economies," Tourism Economics, , vol. 24(2), pages 187-203, March.
    • Handle: RePEc:sae:toueco:v:24:y:2018:i:2:p:187-203
    DOI: 10.1177/1354816617749346
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    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. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. 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.
    4. 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.
    5. York Qi Yan & Hanqin Qiu Zhang & Ben Haobin Ye, 2014. "Assessing the Impacts of the High-Speed Train on Tourism Demand in China," Tourism Economics, , vol. 20(1), pages 157-169, February.
    6. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    7. 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.
    8. 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.
    9. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    10. Sebastian Galiani & Paul Gertler & Ernesto Schargrodsky, 2005. "Water for Life: The Impact of the Privatization of Water Services on Child Mortality," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 83-120, February.
    11. David Card & Alan Krueger, 1993. "Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania," Working Papers 694, Princeton University, Department of Economics, Industrial Relations Section..
    12. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    13. Sourafel Girma & Avid Greenaway & Richard Kneller, 2004. "Does Exporting Increase Productivity? A Microeconometric Analysis of Matched Firms," Review of International Economics, Wiley Blackwell, vol. 12(5), pages 855-866, November.
    14. Huang, Chia-Hui & Tsaur, Jen-Ruey & Yang, Chih-Hai, 2012. "Does world heritage list really induce more tourists? Evidence from Macau," Tourism Management, Elsevier, vol. 33(6), pages 1450-1457.
    15. 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.
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