, Volume 45, Issue 2, pp 677–701 | Cite as

Unequal regional impacts of high speed rail on the tourism industry: a simulation analysis of the effects of Kyushu Shinkansen

  • Tomoru HiramatsuEmail author


Many high speed rail (HSR) routes are under construction in various cities of the world. Although tourism is one of the industries affected by HSR, not much is known about its effects on the same. This paper studies the impact of Kyushu’s HSR (Shinkansen) on tourism using computable general equilibrium modeling in the context of regional economies and transportation. The results show that the HSR has unequal effects on tourism among prefectures. The presence of these inequalities depends on whether the prefecture is a served by HSR, whether it is a terminal or an intermediate HSR station, and its current popularity with the tourists. Despite these inequalities, the economies of all the prefectures are benefited by the HSR owing to general equilibrium effects.


High speed rail Tourism Regional inequality Computable general equilibrium 



This work was supported by JSPS KAKENHI Grant Number 26870793.


  1. Albalate, D., Fageda, X.: High speed rail and tourism: empirical evidence from Spain. Transp. Res. Part A 85, 174–285 (2016)Google Scholar
  2. Anas, A., Liu, Y.: A regional economy, land use and transportation model (RELU-TRAN©): formulation, algorithm design and testing. J. Reg. Sci. 47, 415–455 (2007)CrossRefGoogle Scholar
  3. Araki, S.: Jyakunensha syugyoritu ni okeru chingin danryokusei no suitei (The estimation of wage elasticity of employment rate in young generations). Japanese Tax Reforms, Labour Economics 18, 539–546 (2015). (in Japanese) Google Scholar
  4. Asada, Y., Takuma, F.: Shihon kosuto ga fudousan ryutu ni ataeru eikyou no jisshou bunseki (The empirical analysis about effect of capital cost on real estate circulation), Fudousan ryutu keiei kyoukai, 1–19 (2013). (in Japanese)Google Scholar
  5. Brocker, J., Mercenier, J.: General equilibrium model for transportation economics. In: de Palma, A., Lindsey, R., Quinet, E., Vickerman, R. (eds.) A Handbook of Transport Economics, Chapter 2, pp. 21–45. Edward Elger Publishing, Cheltenham (2011)Google Scholar
  6. Delaplace, M., Pagliara, F., Perrin, J., Mermet, S.: Can high speed rail foster the choice of destination for tourism purpose? Proc. Soc. Behav. Sci. 111, 166–175 (2014)CrossRefGoogle Scholar
  7. Dwyer, L.: Computable general equilibrium modeling: an important toll for tourism policy analysis. Tour. Hosp. Manag. 21(2), 111–126 (2015)CrossRefGoogle Scholar
  8. Dwyer, L.: Computable general equilibrium modeling for tourism policy: inputs and outputs, statistics and TSA issues paper series, pp. 1–30 (2015b)Google Scholar
  9. Eymann, A., Ronning, G.: Microeconometric models of tourists’ destination choice. Reg. Sci. Urban Econ. 27, 735–761 (1997)CrossRefGoogle Scholar
  10. Japan Tourism Agency, Ministry of Land, Infrastructure, Transport and Tourism. Ryokou kankou shouhi doukou chousa (An analysis of consumption trends in travel/sightseeing). (2010). Accessed 12 Feb 2015. (in Japanese)
  11. Kadiyali, V., Kosová, R.: Inter-industry employment spillovers from tourism inflows. Reg. Sci. Urban Econ. 43, 272–281 (2013)CrossRefGoogle Scholar
  12. Koike, A.: A policy analysis based on transport elasticities estimation by the AIDS model. Unyu seisaku kenkyu 14(31), 2–8 (2011). (in Japanese) Google Scholar
  13. Koike, A., Ishikura, T., Miyashita, M., Tsuchiya, K.: Spatial economic analysis for intercity transport policies. In: Hayashi, Yoshitsugu (ed.) Intercity Transport and Climate Change, Chapter 4, pp. 177–213. Springer, Berlin (2014)Google Scholar
  14. Li, H., Chen, J.L., Li, G., Goh, C.: Tourism and regional income inequality: evidence from China. Ann. Tour. Res. 58, 81–99 (2016)CrossRefGoogle Scholar
  15. Masson, S., Petiot, R.: Can the high speed rail reinforce tourism attractiveness? the case of the high speed rail between Perpignan (France) and Barcelona (Spain). Technovation 29, 611–617 (2009)CrossRefGoogle Scholar
  16. Ministry of Land Infrastructure, Transport and Tourism.: Zenkoku kansen ryokaku jun ryudo chousa 2010 (Exploration of arterious passenger net flow for Japan, 2010). (2010). Accessed 4 Feb 2014. (in Japanese)
  17. Moriizumi, Y.: Jyutaku kyokyu no jisshou bunseki (Empirical analysis of housing supply), Jyutaku tochi keizai, Fuyu, pp. 28–31 (1992). (in Japanese)Google Scholar
  18. Nakagawa, D., Hatoko, M.: Reevaluation of Japanese high-speed rail construction: recent situation of the north corridor Shinkansen and its way to completion. Transp. Policy 14, 150–164 (2007)CrossRefGoogle Scholar
  19. Nakamura, R.: Ofisu biru chintairyou heno hedonikku bunseki (Hedonic analysis of office building rent). Okayama daigaku keizai gakkai zasshi 25(3), 239–256 (1994a). (in Japanese) Google Scholar
  20. Nakamura, R.: Minkan manshion no hedonikku hiyou kansuu no suitei (The estimation of hedonic cost function of private condominium). Okayama daigaku keizai gakkai zasshi 25(4), 265–280 (1994b). (in Japanese) Google Scholar
  21. Ota, S., Okusa, Y.: Nihon ni okeru chiikikan roudou idou to chingin kabu (The labor migration between regions and wage curve in Japan). Nihon keizai kenkyu 32, 111–132 (1996). (in Japanese) Google Scholar
  22. Pagliara, F., La Pietra, A., Gomez, J., Vassallo, J.M.: High Speed Rail and the tourism market: evidence from the Madrid case study. Transp. Policy 37, 187–194 (2015)CrossRefGoogle Scholar
  23. Sánchez-Mateos, H.S.M., Givoni, M.: The accessibility impact of a new high-speed rail line in the UK—a preliminary analysis of winners and losers. J. Transp. Geogr. 25, 105–114 (2012)CrossRefGoogle Scholar
  24. Statistics Bureau, Ministory of Internal Affairs and Communications. Houjin tochi kihon chousa 2008 (Basic analysis of corporate land 2008). (2010). Accessed 24 August 2015. (in Japanese)
  25. Statistics Bureau, Ministry of Internal Affairs and Communications. Jutaku· tochi toukei chousa 2008 (Housing/land annual statistics 2008). (2010). Accessed 24 August 2015. (in Japanese)
  26. Statistics Bureau, Ministry of Internal Affairs and Communications. Kokusei chousa 2010 (Census 2010). (2010). Accessed 20 April 2015. (in Japanese)
  27. Statistics Bureau, Ministry of Internal Affairs and Communications. Nihon toukei nenkan (Japanese annual statistics). (2010). Accessed 12 Feb 2015. (in Japanese)
  28. Statistics Bureau, Ministry of Internal Affairs and Communications. Kakei chousa 2010 (Household account 2010). (2011). Accessed 17 April 2015. (in Japanese)
  29. Vickerman, R.: High-speed rail and regional development: the case of intermediate stations. J. Transp. Geogr. 42, 157–165 (2015)CrossRefGoogle Scholar
  30. Wang, X., Huang, S., Zou, T., Yan, H.: Effects of the high speed rail network on China’s regional tourism development. Tour. Manag. Perspect. 1, 34–38 (2012)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Kumamoto Gakuen UniversityKumamotoJapan

Personalised recommendations