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Analyses of determinants of hiking tourism demands on the Jeju Olle hiking trail using zero-truncated negative binomial regression analysis

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  • Munhyang (Moon) Oh

    (26680The Hong Kong Polytechnic University, Hong Kong)

  • Seongseop (Sam) Kim

    (26680The Hong Kong Polytechnic University, Hong Kong)

  • Youngjoon Choi

    (26680The Hong Kong Polytechnic University, Hong Kong)

Abstract

This study identified the determinants of hiking tourism demands to bridge the gap resulting from the absence of evidence in the tourism literature. The main survey was administered through personal interviews with hikers on the Jeju Olle hiking trail in South Korea. The study adopted zero-truncated negative binomial regression analysis to estimate accurately the demands of hikers who have visited the trail at least once. The results indicated that the frequency of visits to the trail decreases by 49% when hikers set a premium on their tour experience of one unit. The visit frequency of tourists who value recreation on the trail was 1.8 times higher than that of tourists who do not. The results will assist trail authorities in allocating budgets, prioritizing the improvement and maintenance of facilities and services, and providing tailored services and facilities to hikers.

Suggested Citation

  • Munhyang (Moon) Oh & Seongseop (Sam) Kim & Youngjoon Choi, 2020. "Analyses of determinants of hiking tourism demands on the Jeju Olle hiking trail using zero-truncated negative binomial regression analysis," Tourism Economics, , vol. 26(8), pages 1327-1343, December.
    • Handle: RePEc:sae:toueco:v:26:y:2020:i:8:p:1327-1343
    DOI: 10.1177/1354816619888337
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    References listed on IDEAS

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    1. Juan Gabriel Brida & Marta Meleddu & Manuela Pulina, 2013. "Factors Influencing Length of Stay of Cultural Tourists," Tourism Economics, , vol. 19(6), pages 1273-1292, December.
    2. Collins-Kreiner, Noga & Kliot, Nurit, 2016. "Particularism vs. Universalism in Hiking Tourism," Annals of Tourism Research, Elsevier, vol. 56(C), pages 132-137.
    3. Tangeland, Torvald & Aas, Øystein, 2011. "Household composition and the importance of experience attributes of nature based tourism activity products – A Norwegian case study of outdoor recreationists," Tourism Management, Elsevier, vol. 32(4), pages 822-832.
    4. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    5. Anna Nerg & Jussi Uusivuori & Jarmo Mikkola & Marjo Neuvonen & Tuija Sievänen, 2012. "Visits to National Parks and Hiking Areas: A Panel Data Analysis of Their Socio-Demographic, Economic and Site Quality Determinants," Tourism Economics, , vol. 18(1), pages 77-93, February.
    6. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    7. Donovan, Geoffrey H. & Cerveny, Lee K. & Gatziolis, Demetrios, 2016. "If you build it, will they come?," Forest Policy and Economics, Elsevier, vol. 62(C), pages 135-140.
    8. Andrea Abraham & Kathrin Sommerhalder & Thomas Abel, 2010. "Landscape and well-being: a scoping study on the health-promoting impact of outdoor environments," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(1), pages 59-69, February.
    9. Deborah E. Lee & Mario du Preez, 2015. "The Economic Value of Mountain Biking in the Baviaanskloof Mega Reserve, Eastern Cape, South Africa: A Travel Cost Analysis Using Count Data Models," Working Papers 546, Economic Research Southern Africa.
    10. Gro Ween & Simone Abram, 2012. "The Norwegian Trekking Association: Trekking as Constituting the Nation," Landscape Research, Taylor & Francis Journals, vol. 37(2), pages 155-171.
    11. Kelley, Hugh & van Rensburg, Thomas M. & Jeserich, Nadine, 2016. "Determinants of demand for recreational walking trails in Ireland," Tourism Management, Elsevier, vol. 52(C), pages 173-186.
    12. Carter Betz & John Bergstrom & J. M. Bowker, 2003. "A Contingent Trip Model for Estimating Rail-trail Demand," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 46(1), pages 79-96.
    13. Artti Juutinen & Anna-Kaisa Kosenius & Ville Ovaskainen & Anne Tolvanen & Liisa Tyrväinen, 2017. "Heterogeneous preferences for recreation-oriented management in commercial forests: the role of citizens’ socioeconomic characteristics and recreational profiles," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(3), pages 399-418, March.
    14. Kim, Bona & Kim, Seongseop Sam & King, Brian, 2016. "The sacred and the profane: Identifying pilgrim traveler value orientations using means-end theory," Tourism Management, Elsevier, vol. 56(C), pages 142-155.
    15. María Palma & Luis Palma & Luis Aguado, 2013. "Determinants of cultural and popular celebration attendance: the case study of Seville Spring Fiestas," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 87-107, February.
    16. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-238, July-Sept.
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