2007, Vol.31, No.2

Journal of Tourism Sciences 2023 KCI Impact Factor : 2.7

pISSN : 1226-0533 / eISSN : 2713-6388
https://journal.kci.go.kr/JTS

Authors examine the variables that have influence on golfers' demand among some variables which are choice attributes of golf course, demographic variables, golf related personal characteristics, kinds of golf courses, types of their leisure activities. In order to accomplish an aim of this research, the author analyses the effects of determinants on golfers' demand for golf courses using a class of maximum-likelihood regression estimators for count data from truncated samples by applying Poisson Model. Some significant variables were found out. Furthermore, the identification of weekend leisure types preferred by golf participants would be helpful to target for suppliers' promotion.핵심용어(Key words):선택속성(Selective attributes),주말여가행태(Weekend leisure types),골프수요(Golf demand),가산자료(Countable data),절단된 포아송(TP: Truncated poisson) 모형

This paper analyzes tourism demand volatility and its determinants for South Korea’s in-bound tourism using Engle(2002)’s dynamic conditional correlation multivariate generalized autoregressive conditional heteroskedasticity(GARCH) model. In contrast to recent previous studies which deal with classic GARCH specifications, author examines effects of explanatory variables to tourism volatility by including those variables in the conditional variance equations exogenously. Costs of living in competing destinations were found giving significant negative effects to the U.S. tourism demand volatility. On the other hand, income level was uncovered having significant impacts on Japanese tourism demand volatility. Both the U.S. and Japanese tourism demand are found to have leverage effects핵심용어(Key words):관광수요(Tourism demand), 변동성(Volatility),다변량 GARCH 모형(Multivariate GARCH model),변동조건부상관계수(Time-varying conditional correlation)

This paper is involved with the image factors of the destinations. A total of 600 questionnaires were distributed to Chinese, Japanese, American and European visitors, and 463 were used for the analysis. Besides the statistical analysis, a graphic analysis for the conceptual map of the Busan urban tourist destinations had been done on the basis of the singular matrix of the destination attribute evaluations with the biplot techniques. The findings showed that the foreign visitors recognized Kukje Market, Jagalchi Market, and Haeundas Beach as good representative urban destinations of Busan Metropolitan City. They specially perceived the attributes of kindness of people, facilities of the place, and their experiences of the events as the criteria for their preferences of the places.핵심용어(Key words):도시관광지이미지(Urban tourism destination image),포지셔닝전략(Positioning strategy), 바이플롯(Biplot),특이치분해기법(Singular value decomposition)