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Analyzing tourists' satisfaction: A multivariate ordered probit approach

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  • Hasegawa, Hikaru

Abstract

This article considers a Bayesian estimation of the multivariate ordered probit model using a Markov chain Monte Carlo (MCMC) method. The method is applied to unit record data on the satisfaction experienced by tourists. The data were obtained from the Annual Report on the Survey of Tourists' Satisfaction 2002, conducted by the Department of Economic Affairs of the Hokkaido government. Furthermore, using the posterior results of the Bayesian analysis, indices of the relationship between the overall satisfaction derived from the trip and the satisfaction derived from specific aspects of the trip are constructed. The results revealed that the satisfaction derived from the scenery and meals has the largest influence on the overall satisfaction.

Suggested Citation

  • Hasegawa, Hikaru, 2010. "Analyzing tourists' satisfaction: A multivariate ordered probit approach," Tourism Management, Elsevier, vol. 31(1), pages 86-97.
    • Handle: RePEc:eee:touman:v:31:y:2010:i:1:p:86-97
    DOI: 10.1016/j.tourman.2009.01.008
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    1. Sofronis Clerides & Nicoletta Pashourtidou, 2007. "Tourism in Cyprus: Recent Trends and Lessons from the Tourist Satisfaction Survey," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 1(2), pages 51-72, December.
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    3. Paulo Oliveira & Pedro Telhado Pereira, 2008. "Who Values What in a Tourism Destination? The Case of Madeira Island," Tourism Economics, , vol. 14(1), pages 155-168, March.
    4. António Luís Silvestre & Carlos M. Santos & Carla Ramalho, 2008. "Satisfaction and Behavioural Intentions of Cruise Passengers Visiting the Azores," Tourism Economics, , vol. 14(1), pages 169-184, March.
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    Cited by:

    1. Tan, Karen Pei-Sze & Yang, Yang & Li, Xiang (Robert), 2022. "Catching a ride in the peer-to-peer economy: Tourists’ acceptance and use of ridesharing services before and during the COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 151(C), pages 504-518.
    2. Hikaru Hasegawa & Kazuhiro Ueda, 2014. "Self-Assessed Social Position and Poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(3), pages 571-595, September.
    3. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    4. Torres-Sovero, Claudia & González, José A. & Martín-López, Berta & Kirkby, Christopher A., 2012. "Social–ecological factors influencing tourist satisfaction in three ecotourism lodges in the southeastern Peruvian Amazon," Tourism Management, Elsevier, vol. 33(3), pages 545-552.
    5. Rigall-I-Torrent, Ricard & Fluvià, Modest, 2011. "Managing tourism products and destinations embedding public good components: A hedonic approach," Tourism Management, Elsevier, vol. 32(2), pages 244-255.
    6. Hikaru Hasegawa & Kazuhiro Ueda, 2016. "Analysis of Job Satisfaction: The Case of Japanese Private Companies," LABOUR, CEIS, vol. 30(1), pages 109-134, March.
    7. Hong Jiang, 2013. "The Tourist Satisfaction Research of Service Quality of Cruise Ports-----A Case of Wusongkou Cruise Port in Shanghai, China," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(4), pages 12-18, December.
    8. Romão, João & Neuts, Bart & Nijkamp, Peter & Shikida, Asami, 2014. "Determinants of trip choice, satisfaction and loyalty in an eco-tourism destination: a modelling study on the Shiretoko Peninsula, Japan," Ecological Economics, Elsevier, vol. 107(C), pages 195-205.
    9. Xuemin Liu & Jiaoju Ge & Ting Ren, 2021. "Uncertainty and Tourism Consumption Preferences: Evidence from the Representative Chinese City of Shenzhen," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    10. Ante Mandić & Lidija Petrić, 2021. "The impacts of location and attributes of protected natural areas on hotel prices: implications for sustainable tourism development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 833-863, January.
    11. Pantas H. Silaban & Andri D.K. Silalahi & Edgar Octoyuda & Donita Panjaitan, 2020. "The Role of Authenticity and Satisfaction on Tourists' Revisit Intention at Air Soda Destination," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 365-376.
    12. Adriana Galant & Tea Golja & Iva Slivar, 2015. "Disclosure of Non-financial Information in Tourism: Does Tourism Demand Value Nonmandatory Disclosure?," MIC 2015: Managing Sustainable Growth; Proceedings of the Joint International Conference, Portorož, Slovenia, 28–30 May 2015,, University of Primorska, Faculty of Management Koper.

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    More about this item

    Keywords

    Bayesian analysis; Gibbs sampling; Markov chain Monte Carlo (MCMC); Metropolis–Hastings (M–H) algorithm;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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