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Evaluating the spatial spillover effects of tourism demand in Shizuoka Prefecture, Japan: an inter-regional input–output model

Abstract

Shizuoka prefecture in Japan has many tourism destinations and a lot of international and domestic tourists visit it. There are regional cooperative destination marketing organizations (DMOs), which provide the lion’s share of promotion of tourism for Shizuoka prefecture. In this paper, a methodology to evaluate economic impacts on the sightseeing area is developed. The evaluation is based on the number of tourists who visited and the length of stay in the municipality. Then, an inter-regional input–output model (consisting of 35 municipalities and 37 industrial sectors) at the municipality level is estimated to evaluate the spillover effects between cities and towns. The non-survey method based on the gravity-RAS method is used on the inter-regional input–output table estimate. Economic hotspots with economic spillover effects were identified for Shizuoka prefecture. Moreover, the economic impacts of partnerships in sightseeing areas in the three regions of DMO, namely, Suruga DMO, Hamamatsu DMO, and Izu DMO, are also measured.

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(Source: Japan Tourism Agency website)

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(Source: Shizuoka Guide Website, 2018; updated by Author, 2018)

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(Source: Shizuoka Prefecture 2016a)

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References

  1. Aberg KG (2014) The importance of being local-prioritizing knowledge in recruitment for destination development. Tour Rev 69(3):229–243

    Article  Google Scholar 

  2. Archer BH (1995) Importance of tourism for the economy of Bermuda. Ann Tour Res 22(4):918–930

    Article  Google Scholar 

  3. Archer B, Fletcher J (1996) The economic impact of tourism in the Seychelles. Ann Tour Res 23(1):32–47

    Article  Google Scholar 

  4. Balli F, Tsui WHK (2016) Tourism demand spillovers between Australia and New Zealand: evidence from the partner countries. J Travel Res 55(6):804–812

    Article  Google Scholar 

  5. Balli F, Curry J, Balli HO (2015) Inter-regional spillover effects in New Zealand International Tourism Demand. Tour Geogr 17(2):262–278

    Article  Google Scholar 

  6. Baster J (1980) Input–output analysis of tourism benefits: lessons from Scotland. Int J Tour Manag 1(2):99–108

    Article  Google Scholar 

  7. Del Vecchio Pasquale, Mele Gioconda, Ndou Valentina, Secundo Giustina (2018) Creating value from social big data: implications for smart tourism destinations. Inf Process Manage 54:847–860

    Article  Google Scholar 

  8. Dwyer L, Gill A, Seetaram N (2012) Handbook of research methods in tourism—quantitative and qualitative approaches. Edward Elgar, Cheltenham

    Book  Google Scholar 

  9. Frechtling DC, Horvath E (1999) Estimating the multiplier effects of tourism expenditures on a local economy through a regional input–output model. J Travel Res 37(4):324–332

    Article  Google Scholar 

  10. Freemand D, Sultan E (1997) The economic impact of tourism in Israel: a multi-regional input–output analysis. Tour Econ 3(4):341–459

    Article  Google Scholar 

  11. Fretcher JE (1989) Input–output analysis and tourism impact studies. Ann Tour Res 16:514–529

    Article  Google Scholar 

  12. Hamanako Kankoken Promotion Council (2014) Masterplan for Hamanako Kankoken (in Japanese). http://www.mlit.go.jp/kankocho/shisaku/kankochi/pdf/seibi_pdf20.pdf. Accessed 27 July 2016

  13. Hoti S, McAleer M, Shareef R (2007) Modelling international tourism and country risk spillovers for Cyprus and Malta. Tour Manag 28(6):1472–1484

    Article  Google Scholar 

  14. Incera AC, Feranandez MF, Lopez XP (2015) Spillover effects of tourism consumption between Galicia and the rest of Spain. Int J Tour Res 17:185–195

    Article  Google Scholar 

  15. Japan DMO Alliances (2018) http://www.dmojapan.org. Accessed 17 Sept 2018

  16. Japan Tourism Agency (2008) Tourism zone development act. http://www.mlit.go.jp/kankocho/en/shisaku/kankochi/seibi.html. Accessed 15 Sept 2018

  17. Japan Tourism Agency (2015) Handbook on forming and establishing the Japanese DMO. http://www.mlit.go.jp/kankocho/page04_000049.html. Accessed 15 Sept 2018

  18. Japan Tourism Agency (2016) Tourism vision to support the future of Japan. http://www.mlit.go.jp/common/001126601.pdf. Accessed 15 Sept 2018

  19. Japan Tourism Agency (2017) List of registered DMO candidate organizations (as of 4 August 2017). http://www.mlit.go.jp/kankocho/page04_000075.html. Accessed 17 Sept 2018

  20. Kadiyali V, Kosova R (2013) Inter-industry employment spillovers from tourism inflows. Reg Sci Urb Econ 43:272–281

    Article  Google Scholar 

  21. Katayama K, Makishima R (2016) A study on the possibilities and challenges of fostering tourism destination and communities based on regional cooperation: case study of Sasebo-Ojika tourism area. Rep City Plan Inst Jpn 14:317–321 (in Japanese)

    Google Scholar 

  22. Kim S-H, Kim K-H (1998) Impact of tourism on local economies: an income multiplier analysis. Asia Pac J Tour Res 2(2):49–56

    Article  Google Scholar 

  23. Kumar J, Hussain K (2014) Evaluating tourism’s economic effects: comparison of different approaches. Proc Soc Behav Sci 144:360–365

    Article  Google Scholar 

  24. Li X, Pan B, Law R, Huang X (2017) Forecasting tourism demand with composite search index. Tour Manag 59:57–66

    Article  Google Scholar 

  25. Li Jingjing, Lizhi Xu, Tang Ling, Wang Shouyang, Li Ling (2018) Big data in tourism research: a literature review. Tour Manag 68:301–323

    Article  Google Scholar 

  26. Nagai H, Doering A, Yashima Y (2017) The early emergence of the Japanese DMO: preliminary insights from Miyazaki, Japan. In: CAUTHE 2017: time for big ideas? Re-thinking the field for tomorrow

  27. Nagai H, Makino E, Kashiwagi S, Doering A, Yashima Y (2018) The increased usage of the English term ‘DMO’ in a Japanese context: on analysis of five major national newspapers. In: The 28th Council for Australasian Tourism and Hospitality Education (CAUTHE) annual conference, pp 640–645

  28. Nomura J, Kinoshita M, Saito H, Asahi S (2011) Economic impacts of trans-regional touristsʼ expenditures utilizing multiregional I–O Table of Yamaguchi prefecture, Japan. Input–Output Anal 19(3):72–93 (in Japanese)

    Article  Google Scholar 

  29. Pearce DG, Schanzel HA (2013) Destination management: the tourists’ perspective. J Destin Market Manag 2(3):137–145

    Google Scholar 

  30. Pechlaner H, Herntrei M, Kofink L (2009) Growth strategies in mature destinations: linking spatial planning with product development. Tourism 57(3):285–307

    Google Scholar 

  31. Pike S, Page SJ (2014) Destination marketing organizations and destination marketing: a narrative analysis of the literature. Tour Manag 40:202–227

    Article  Google Scholar 

  32. Shibusawa H, Sakurai K, Sakaibara N, Yamaguchi M (2017) A study on the evaluation method for the spatial economic impacts of tourism consumption: using the inter-regional input–output table of Shizuoka prefecture. Stud Region Sci 47(2):159–173 (in Japanese)

    Article  Google Scholar 

  33. Shizuoka Guide Website (2018) Shizuoka map. https://shizuoka-guide.com/english/. Accessed 15 Sept 2018

  34. Shizuoka Prefecture (2013) A survey of sightseeing and the degree of satisfaction in Shizuoka 2012 (in Japanese)

  35. Shizuoka Prefecture (2016a) Trend of sightseeing in Shizuoka 2015 (in Japanese). ​https://toukei.pref.shizuoka.jp/chosa/21-010/index.html. Accessed 15 Sept 2018

  36. Shizuoka Prefecture (2016b) Input–output table 2011 (in Japanese). https://toukei.pref.shizuoka.jp/chosa/15-050/index.html. Accessed 15 Sept 2018

  37. Wagner JE (1997) Estimating the economic impacts of tourism. Ann Tour Res 24(3):592–608

    Article  Google Scholar 

  38. West G, Gamage A (2001) Macro-effects of tourism in Victoria, Australia: a nonlinear input–output approach. J Travel Res 40(1):101–109

    Article  Google Scholar 

  39. Yamada M, Oowaki Y (2012) Estimation of 4 regions inter-regional input–output table in Aichi. Chukyo University Institute of Economics. Discuss Pap Series 1205:1–53 (in Japanese)

    Google Scholar 

  40. Yang Y, Wong KKF (2012) A spatial econometric approach to model spillover effects in tourism flows. J Travel Res 51(6):768–778

    Article  Google Scholar 

  41. Yang X, Pan B, Evans JA, Lv B (2015) Forecasting Chinese tourist volume with search engine data. Tour Manag 46:386–397

    Article  Google Scholar 

  42. Zhang J, Madsen B, Jensen-Butler C (2007) Regional economic impacts of tourism: the case of Denmark. Reg Stud 41(6):839–853

    Article  Google Scholar 

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Correspondence to Marly Valenti Patandianan.

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Patandianan, M.V., Shibusawa, H. Evaluating the spatial spillover effects of tourism demand in Shizuoka Prefecture, Japan: an inter-regional input–output model. Asia-Pac J Reg Sci 4, 73–90 (2020). https://doi.org/10.1007/s41685-019-00111-0

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Keywords

  • Economic impacts
  • Tourism demand
  • Destination marketing organization
  • Inter-regional input–output table

JEL classifications

  • F5
  • R15
  • R41