| Summary: | 碩士 === 明新科技大學 === 企業管理研究所 === 98 === Due to the thriving developments observed in tourism industry, it is natural to attract many related topic researches in regard to tourism expenditures by scholars. And most of the existing literatures tend to adopt the family incomes, characteristics of the head of the household as well as social and economical variables as the explanatory factors; in addition, only the annual family income and expenditure surveys for one specific year were found to be used in the empirical analysis. Whereas, this approach would not allow observations for the long-term change perspectives or the rises and declines emanating from factors that would affect the family travel expenditures. Meantime, estimated results from OLS (Ordinary Least Squares) are found in the previous literature to explore the variable impacts to corresponding variables. Nonetheless, this only can describe the averaging behaviors of the dependent variables, but not the asymmetric behaviors possibly existed at the tail of the distribution. However, the quantile regression (QR) proposed by Koenker and Bassett (1978) can assist us with the control of the conditional distribution behaviors for each quantile for the dependent variable. Hence, this paper uses the family income and expenditure survey data between 1996 and 2006 and adopts the QR to explore the long-term changes for factors that impact Taiwan family travel expenditures. Empirical results show that household disposable income, urbanization, the number of car ownership, household long age, education level of household, the proportion of young population variables could explain the family as an important domestic and foregin tourism spending factorAnd the findings from this research are expected to provide both the government and tourism industry with references in enacting tourism development strategies or planning for tourism related products.
|
|---|
