Factors contributing to tourists' length of stay in Dalian northeastern China A survival model analysis

被引:47
作者
Wang, Erda [1 ]
Little, Bertis B. [2 ]
DelHomme-Little, Beverly Ann [3 ]
机构
[1] Dalian Univ Technol, Sch Business Management, Dept Human Resource & Tourism Management, Dalian, Peoples R China
[2] Tarleton State Univ, Comp Sci & Math, Stephenville, TX USA
[3] DelHomme & Associates, Dallas, TX 75219 USA
关键词
Survival analysis; Tourist's length of stay; Cox model; Regression analysis;
D O I
10.1016/j.tmp.2012.03.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
Length of stay is one of the most important determinants of the overall impact of tourism in a given economy. However, due to its statistical nature and complexity such as censoring and non negativity, it is rarely systematically analyzed in economic research literature. This article estimated an econometric parametric survival analysis model to learn the determinants of length of stay, in a novel way in the tourism demand literature. In the process, a number of tourist's socio-demographic characteristics were analyzed in order to disclose the most important factors that can contribute to the length of tourist stays. All findings' policy implications are addressed accordingly. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:67 / 72
页数:6
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