TY - JOUR
T1 - Factors contributing to tourists' length of stay in Dalian northeastern China - A survival model analysis
AU - Wang, Erda
AU - Little, Bertis B.
AU - DelHomme-Little, Beverly Ann
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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U2 - 10.1016/j.tmp.2012.03.005
DO - 10.1016/j.tmp.2012.03.005
M3 - Article
AN - SCOPUS:84868292273
SN - 2211-9736
VL - 4
SP - 67
EP - 72
JO - Tourism Management Perspectives
JF - Tourism Management Perspectives
ER -