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An integrated model of tourists’ time use and expenditure behaviour with self-selection based on a fully nested Archimedean copula function

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  • Zhang, Hui
  • Zhang, Junyi
  • Kuwano, Masashi

Abstract

This study presents an integrated model of tourists’ time use, expenditure by explicitly incorporating the influence of destination visit behaviour based on the concept of self-selection. Inter-destination interactions (between time-use decisions, between expenditure decisions, and between decisions on both time use and expenditure) are incorporated by using a multilinear utility function. The study uses a Type-II Tobit model with a Frank-type fully nested Archimedean copula to deal with issues caused by correlation between these variables. The Archimedean copula is used to combine marginal distributions to obtain a joint distribution of error terms of utility functions with the help of dependency parameters. The effectiveness of the model is confirmed empirically by using data collected in the Tottori Prefecture of Japan in 2007. Dependence structures across destinations, inter-destination interactions and the relative importance of each destination in decisions are examined.

Suggested Citation

  • Zhang, Hui & Zhang, Junyi & Kuwano, Masashi, 2012. "An integrated model of tourists’ time use and expenditure behaviour with self-selection based on a fully nested Archimedean copula function," Tourism Management, Elsevier, vol. 33(6), pages 1562-1573.
    • Handle: RePEc:eee:touman:v:33:y:2012:i:6:p:1562-1573
    DOI: 10.1016/j.tourman.2012.03.004
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    References listed on IDEAS

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    1. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    2. Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.
    3. Trivedi, Pravin K. & Zimmer, David M., 2007. "Copula Modeling: An Introduction for Practitioners," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(1), pages 1-111, April.
    4. Kjersti Aas & Daniel Berg, 2009. "Models for construction of multivariate dependence - a comparison study," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 639-659.
    5. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    7. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    8. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    9. DeSerpa, A C, 1971. "A Theory of the Economics of Time," Economic Journal, Royal Economic Society, vol. 81(324), pages 828-846, December.
    10. Zhang, Junyi & Timmermans, Harry J. P. & Borgers, Aloys, 2005. "A model of household task allocation and time use," Transportation Research Part B: Methodological, Elsevier, vol. 39(1), pages 81-95, January.
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    2. Abbruzzo, Antonino & Brida, Juan Gabriel & Scuderi, Raffaele, 2014. "Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay," Tourism Management, Elsevier, vol. 43(C), pages 36-45.
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    4. Marta Disegna & Fabrizio Durante & Enrico Foscolo, 2013. "A multivariate nonlinear analysis of tourism expenditures," BEMPS - Bozen Economics & Management Paper Series BEMPS10, Faculty of Economics and Management at the Free University of Bozen.
    5. Anton Ovcharov, 2015. "Methodological Problems Of Statistical Study Of Regional Tourism And Tourist Expenditure," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 281-287.
    6. Juan Gabriel Brida & Marta Disegna & Raffaele Scuderi, 2013. "Visitors to Two Types of Museums: Do Expenditure Patterns Differ?," Tourism Economics, , vol. 19(5), pages 1027-1047, October.
    7. Andrea Pellegrini & Stefano Scagnolari, 2021. "The relationship between length of stay and land transportation mode in the tourism sector: A discrete–continuous framework applied to Swiss data," Tourism Economics, , vol. 27(1), pages 243-259, February.
    8. Li, Xinming & Hossein Rashidi, Taha & Koo, Tay T.R., 2023. "Tourists’ travel mode and length of stay: Application of a fully nested Archimedean copula structure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    9. Juan Brida & Pablo Daniel Monterubbianesi & Sandra Zapata-Aguirre, 2013. "Análisis de los factores que influencian el gasto de los turistas culturales: el caso de los visitantes de museos de Medellín," Revista de Economía del Rosario, Universidad del Rosario, June.
    10. Deenihan, Gerard & Caulfield, Brian, 2015. "Do tourists value different levels of cycling infrastructure?," Tourism Management, Elsevier, vol. 46(C), pages 92-101.
    11. Rashidi, Taha H. & Koo, Tay T.R., 2016. "An analysis on travel party composition and expenditure: a discrete-continuous model," Annals of Tourism Research, Elsevier, vol. 56(C), pages 48-64.
    12. Barreal, Jesús & Mercadé-Melé, Pere & Vena-Oya, Julio, 2023. "Efecto del gasto y la estancia en la composición del mercado de turistas internacionales en las denominaciones de origen de AOVE en Andalucía," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 57, pages 87-109.
    13. Jianxu Liu & Vicente Ramos & Bing Yang & Mengjiao Wang & Songsak Sriboonchitta, 2024. "Analysing the dynamic co-movement between tourism and expected economic growth considering extreme events," Tourism Economics, , vol. 30(1), pages 3-26, February.
    14. McKercher, Bob & Filep, Sebastian & Moyle, Brent, 2021. "Movement in tourism: Time to re-integrate the tourist?," Annals of Tourism Research, Elsevier, vol. 91(C).
    15. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    16. Jorge Moll-de-Alba & Lluís Prats & Lluís Coromina, 2016. "The need to adapt to travel expenditure patterns. A study comparing business and leisure tourists in Barcelona," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 253-267, August.
    17. Chih-Wen Yang & Cheng-Lung (Richard) Wu & Jin-Long Lu, 2021. "Exploring the interdependency and determinants of tourism participation, expenditure, and duration: An analysis of Taiwanese citizens traveling abroad," Tourism Economics, , vol. 27(4), pages 649-669, June.

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