Home > Research > Publications & Outputs > Incorporating destination quality into the meas...

Research

Associated organisational units

Links

Text available via DOI:

Keywords

View graph of relations

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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Incorporating destination quality into the measurement of tourism performance: a Bayesian approach . / Assaf, A. George; Tsionas, Efthymios.
In: Tourism Management, Vol. 49, 08.2015, p. 58-71.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Assaf, AG & Tsionas, E 2015, 'Incorporating destination quality into the measurement of tourism performance: a Bayesian approach ', Tourism Management, vol. 49, pp. 58-71. https://doi.org/10.1016/j.tourman.2015.02.003

APA

Assaf, A. G., & Tsionas, E. (2015). Incorporating destination quality into the measurement of tourism performance: a Bayesian approach . Tourism Management, 49, 58-71. https://doi.org/10.1016/j.tourman.2015.02.003

Vancouver

Assaf AG, Tsionas E. Incorporating destination quality into the measurement of tourism performance: a Bayesian approach . Tourism Management. 2015 Aug;49:58-71. Epub 2015 Mar 12. doi: 10.1016/j.tourman.2015.02.003

Author

Assaf, A. George ; Tsionas, Efthymios. / Incorporating destination quality into the measurement of tourism performance : a Bayesian approach . In: Tourism Management. 2015 ; Vol. 49. pp. 58-71.

Bibtex

@article{57de21577349446a9229be131447be00,
title = "Incorporating destination quality into the measurement of tourism performance: a Bayesian approach ",
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.",
keywords = "Destination quality, Technical efficiency, Dynamic framework, Bayesian",
author = "Assaf, {A. George} and Efthymios Tsionas",
year = "2015",
month = aug,
doi = "10.1016/j.tourman.2015.02.003",
language = "English",
volume = "49",
pages = "58--71",
journal = "Tourism Management",
issn = "0261-5177",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Incorporating destination quality into the measurement of tourism performance

T2 - a Bayesian approach

AU - Assaf, A. George

AU - Tsionas, Efthymios

PY - 2015/8

Y1 - 2015/8

N2 - 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.

AB - 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.

KW - Destination quality

KW - Technical efficiency

KW - Dynamic framework

KW - Bayesian

U2 - 10.1016/j.tourman.2015.02.003

DO - 10.1016/j.tourman.2015.02.003

M3 - Journal article

VL - 49

SP - 58

EP - 71

JO - Tourism Management

JF - Tourism Management

SN - 0261-5177

ER -