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Short-run and long-run performance of international tourism: Evidence from Bayesian dynamic models

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  • Tsionas, Efthymios G.
  • George Assaf, A.

Abstract

Measuring the technical efficiency of the tourism industry is essential for evaluating tourism sustainability and reshaping tourism activities. This paper introduces for the first time a new dynamic stochastic frontier model to 1-measure and compare the short-run and long-run technical efficiencies of leading tourism destinations, and 2-provide impulse response functions and persistence measures to trace out the dynamic effect of shocks in technical inefficiency. We develop our model in a Bayesian framework using carefully constructed Markov Chain Monte Carlo (MCMC) techniques. We report efficiency results and persistence scores for individual destinations and discuss how different destinations recover from shocks in tourism performance.

Suggested Citation

  • Tsionas, Efthymios G. & George Assaf, A., 2014. "Short-run and long-run performance of international tourism: Evidence from Bayesian dynamic models," Tourism Management, Elsevier, vol. 42(C), pages 22-36.
    • Handle: RePEc:eee:touman:v:42:y:2014:i:c:p:22-36
    DOI: 10.1016/j.tourman.2013.08.003
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    3. Kao, Ta-Wei (Daniel) & Simpson, N.C. & Shao, Benjamin B.M. & Lin, Winston T., 2017. "Relating supply network structure to productive efficiency: A multi-stage empirical investigation," European Journal of Operational Research, Elsevier, vol. 259(2), pages 469-485.
    4. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
    5. Qi Wang & Qunli Tang & Yingting Guo, 2024. "Spatial Interaction Spillover Effect of Tourism Eco-Efficiency and Economic Development," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
    6. Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2017. "UNESCO sites and performance trend of Italian regional tourism destinations," Tourism Economics, , vol. 23(2), pages 316-342, March.
    7. Corne, Aurélie & Peypoch, Nicolas, 2020. "On the determinants of tourism performance," Annals of Tourism Research, Elsevier, vol. 85(C).
    8. Yuan Zhao & Xinyang Wu, 2023. "The Spatiotemporal Relationship between Tourism Eco-Efficiency and Economic Resilience from Coupling Perspectives in China," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    9. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    10. David Alaminos & Ana León-Gómez & José Ramón Sánchez-Serrano, 2020. "A DSGE-VAR Analysis for Tourism Development and Sustainable Economic Growth," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
    11. Guccio, Calogero & Mazza, Isidoro & Mignosa, Anna & Rizzo, Ilde, 2018. "A round trip on decentralization in the tourism sector," Annals of Tourism Research, Elsevier, vol. 72(C), pages 140-155.
    12. Sainaghi, Ruggero & Phillips, Paul & Zavarrone, Emma, 2017. "Performance measurement in tourism firms: A content analytical meta-approach," Tourism Management, Elsevier, vol. 59(C), pages 36-56.
    13. Bing Xia & Suocheng Dong & Duoxun Ba & Yu Li & Fujia Li & Haimeng Liu & Zehong Li & Minyan Zhao, 2018. "Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises’ Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    14. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    15. Calogero Guccio & Domenico Lisi & Marco Martorana & Anna Mignosa, 2017. "On the role of cultural participation in tourism destination performance: an assessment using robust conditional efficiency approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 129-154, May.

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