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A spatial analysis on the determinants of tourism performance in Japanese Prefectures

Author

Listed:
  • João Romão

    (University of Algarve)

  • Hisamitsu Saito

    (Hokkaido University)

Abstract

Assuming tourism as a place-oriented activity where tourist flows often cross regional borders, local and global indicators of spatial autocorrelation can be useful tools in order to identify and to explain different patterns of regional tourism dynamics and their determinants. These techniques recently became widely used in applied economic studies, as a result of their useful insights to understand spatial phenomena and benefiting from the existence of geo-referenced data and adequate software tools. This tendency is also observed in the tourism sector in the last few years. In this work, an exploratory spatial analysis and a spatial econometric model are applied to the case of Japanese Prefectures, leading to the identification of the specific spatial aspects prevailing in Japanese regional tourism dynamics. Spatial heterogeneity and agglomeration processes are identified, with a view on policy and managerial recommendations, offering a contribution to explore potential synergies arising from inter-regional cooperation in crucial aspects of tourism development. The results reveal the existence of such spatial effects, reflecting the importance for tourism of central areas of Japan, while revealing that competition effects among Japanese Prefectures prevail over positive regional spinoffs identified in other countries. It was also possible to observe that regions where tourism plays a more prominent role in terms of its importance within regional employment do not present a relatively high performance in terms of economic impact and benefits. The results suggest that a more balanced regional economic structure and higher levels of education of the work force contribute for improvements in tourism value added. Finally, the important role of foreign tourism boosting regional tourism performance is revealed.

Suggested Citation

  • João Romão & Hisamitsu Saito, 2017. "A spatial analysis on the determinants of tourism performance in Japanese Prefectures," Asia-Pacific Journal of Regional Science, Springer, vol. 1(1), pages 243-264, April.
    • Handle: RePEc:spr:apjors:v:1:y:2017:i:1:d:10.1007_s41685-017-0038-0
    DOI: 10.1007/s41685-017-0038-0
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    Cited by:

    1. Ogechi Adeola & Olaniyi Evans, 2020. "ICT, infrastructure, and tourism development in Africa," Tourism Economics, , vol. 26(1), pages 97-114, February.
    2. Dimitrios TSIOTAS & Thomas KRABOKOUKIS & Serafeim POLYZOS, 2020. "Detecting Interregional Patterns In Tourism Seasonality Of Greece: A Principal Components Analysis Approach," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 91-112, June.
    3. Chen, Liang & Guo, Yirong, 2023. "Revisiting resources extraction perspective in determining the tourism industry: Globalisation and human capital for next-11 economies," Resources Policy, Elsevier, vol. 85(PA).
    4. Dimitrios Tsiotas & Thomas Krabokoukis & Serafeim Polyzos, 2021. "Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-27, February.
    5. Martin Thomas Falk & Eva Hagsten & Xiang Lin, 2022. "Domestic tourism demand in the North and the South of Europe in the Covid-19 summer of 2020," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 537-553, October.
    6. João Romão & Peter Nijkamp, 2017. "Special issue on innovation and ecology: regional science perspectives on spatial systems," Asia-Pacific Journal of Regional Science, Springer, vol. 1(1), pages 49-52, April.
    7. Taotao Deng & Yukun Hu, 2019. "Modelling China’s outbound tourist flow to the ‘Silk Road’: A spatial econometric approach," Tourism Economics, , vol. 25(8), pages 1167-1181, December.
    8. Comerio, Niccolò & Pacicco, Fausto & Serati, Massimiliano, 2020. "An analysis of sub-national tourism in Japan: Tourist and economic spillovers and their determinants," Annals of Tourism Research, Elsevier, vol. 85(C).
    9. Marta Lisiak-Zielińska & Agnieszka Ziernicka-Wojtaszek, 2020. "Spatial Variation in Tourism and Investment Potential in the Context of Sustainable Development—A Case Study of Staszowski County," Sustainability, MDPI, vol. 13(1), pages 1-20, December.

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    More about this item

    Keywords

    Tourism performance; Spatial econometrics; Regional analysis; Specialization;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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