Length of Stay and Frequency of Visits in Chiangkhan (in Thai)
AbstractThis paper presents the analysis of tourism demand in Chiangkhan, Loei province. Travel cost method (TCM) with Poisson regression was applied to analyze factors affecting the decision of tourists as to the number of nights they would stay in Chiangkhan. The analysis includes logistic regression to consider the variables that affect the decision to revisit. The respondents were Thai tourists visiting Chiangkhan subdistrict. The data from 856 respondents were collected in January-February and June-July 2011 using a structured interview form. The respondents were impressed and attracted most by the ambience, culture and traditional living style. Young tourists from Bangkok with medium level of income comprised the most number of visitors. Those who had visited Chiangkhan would likely decide to revisit. However, the decision to revisit had an inverse relation to their income level. The tourism strategy should encourage the demand for tourism of the target group and aim to preserve the culture and tradition of Chiangkhan.
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Bibliographic InfoArticle provided by Kasetsart University, Faculty of Economics, Center for Applied Economic Research in its journal Applied Economics Journal.
Volume (Year): 20 (2013)
Issue (Month): 2 (December)
Tourism demand; length of stay; revisiting; Chiangkhan;
Find related papers by JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
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