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

被引：38
|
作者：
Tsionas, Efthymios G. [1 ]
Assaf, A. George [2 ]
机构：
[1] Athens Univ Econ & Business, Dept Econ, Athens 10434, Greece
[2] Univ Massachusetts, Isenberg Sch Management, Amherst, MA 01003 USA
来源：
TOURISM MANAGEMENT | 2014年 / 42卷
关键词：
Short-run technical efficiency; Long-run technical efficiency; Bayesian dynamic model; Tourism destinations; HOTEL MANAGERIAL EFFICIENCY; DESTINATION; ARRIVALS; INDUSTRY;
D O I：
10.1016/j.tourman.2013.08.003
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
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. (c) 2013 Elsevier Ltd. All rights reserved.
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页码：22 / 36
页数：15
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