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Incorporating destination quality into the measurement of tourism performance: A Bayesian approach

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  • Assaf, A. George
  • Tsionas, Efthymios G.
Abstract
Studies on destination benchmarking have so far ignored destination quality in the measurement of tourism performance. Destination quality plays a critical role in attracting tourism outputs (e.g. arrivals, receipts), and hence ignoring it represents an important shortcoming that might bias the benchmarking outcomes. The present paper develops for the first time a Bayesian stochastic frontier model that incorporates destination quality into the estimation of tourism performance. The model we propose benchmarks tourism destinations based on both overall performance (i.e. technical efficiency) and quality performance. We impose a dynamic structure on both technical efficiency and destination quality, and differentiate between short-run and long-run estimates of these measures. We provide ranking of technical efficiency and destination quality for 101 tourism destinations and discuss the implications of our findings.

Suggested Citation

  • Assaf, A. George & Tsionas, Efthymios G., 2015. "Incorporating destination quality into the measurement of tourism performance: A Bayesian approach," Tourism Management, Elsevier, vol. 49(C), pages 58-71.
    • Handle: RePEc:eee:touman:v:49:y:2015:i:c:p:58-71
    DOI: 10.1016/j.tourman.2015.02.003
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    References listed on IDEAS

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    Cited by:

    1. Oscar Claveria, 2017. "“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps," IREA Working Papers 201713, University of Barcelona, Research Institute of Applied Economics, revised Jun 2017.
    2. Tomáš Dania & Kateřina Mlejnková & Ida Rašovská, 2019. "Quality Destination Management," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(4), pages 1027-1037.
    3. Berbekova, Adiyukh & Assaf, A. George & Uysal, Muzaffer, 2024. "Frontier measurement for quality of life performance," Annals of Tourism Research, Elsevier, vol. 106(C).
    4. Erda Wang & Jianhua Wei & Jiawei Zhu, 2017. "The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China," Tourism Economics, , vol. 23(1), pages 133-149, February.
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    6. Jack Daly & Gary Gereffi, 2017. "Tourism global value chains and Africa," WIDER Working Paper Series wp-2017-17, World Institute for Development Economic Research (UNU-WIDER).
    7. Hu, Fang & Tang, Thomas Li-Ping & Chen, Yuanpeng & Li, Yubo, 2024. "Sustainable tourism in China: Visualization of low-carbon transitions at three tourist attractions across three occasions," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    8. Yasuo Ohe & Nicolas Peypoch, 2016. "Efficiency analysis of Japanese Ryokans," Tourism Economics, , vol. 22(6), pages 1261-1273, December.
    9. Della Corte, Valentina & Aria, Massimo, 2016. "Coopetition and sustainable competitive advantage. The case of tourist destinations," Tourism Management, Elsevier, vol. 54(C), pages 524-540.
    10. 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.
    11. Jack Daly & Gary Gereffi, 2017. "Tourism global value chains and Africa," WIDER Working Paper Series 017, World Institute for Development Economic Research (UNU-WIDER).
    12. Laurent Botti & Sylvain Petit & Linjia Zhang, 2020. "Strategic decision concerning tourist origins portfolio: A decision process based on the ELECTRE method and applied to French Polynesia," Tourism Economics, , vol. 26(5), pages 830-843, August.
    13. Martina Kosikova & Petra Vasanicova & Eva Litavcova, 2019. "Analysis of aspects of the tourism development in Slovakia in the Context of the European Space," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(2), pages 127-137.
    14. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    15. 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.
    16. David Boto-García & José Francisco Baños Pino, 2024. "The economics of second-home tourism: Are there expenditure reallocation effects from accommodation savings?," Tourism Economics, , vol. 30(4), pages 969-995, June.
    17. Yasuo Ohe, 2022. "Investigating farmer’s identity and efficiency of tourism-oriented farm diversification," Tourism Economics, , vol. 28(2), pages 535-558, March.
    18. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.
    19. 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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