本文旨在以日本冲绳为重点,展示旅游业发展初期的住宿特征,并确定这些特征与价格之间的关系,然后再将其发展成为一个完善的旅游目的地。冲绳回归日本之前,由于政治原因,旅游市场受到限制,但冲绳回归后,旅游业得到发展,成为热门旅游地。首先,本文进行了主成分分析(PCA),以确定旅游住宿设施的特征。得出了两个特征:一个是西式酒店的特征,另一个是以传统日式房间为特征的日式住宿。然后建立回归模型,估算住宿价格与 PCA 所获特征之间的关系。估计模型显示,与日式住宿的特征相比,西式酒店的特征对价格的影响更大。此外,模型中还加入了地区虚拟变量,显示了城市与周边地区之间的住宿价格差异。根据上述结果,西式设施在旅游开发兴起之前价格较高,而且仅局限于冲绳的部分地区。
This paper aims at demonstrating the characteristics of the accommodations in the early period of the tourism development and determining the relationships between these characteristics and the price before it became a well-developed tourism destination focusing on Okinawa, Japan. Before Okinawa was returned to Japan, tourism markets were limited due to political reasons, though, tourism industries were developed and became a popular tourism site after the return of Okinawa. First, this paper conducted a principal component analysis (PCA) to identify the characteristics of the tourism accommodations. Two characteristics were obtained: one is for the characteristics of Western style hotels, the other is for Japanese-style accommodations which feature in traditional Japanese style rooms. Then a regression model was carried out to estimate the relationships between the price of accommodations and the characteristics obtained from the PCA. The estimation model showed that the characteristics of the Western style hotels more strongly influenced to the price, compared with those of the Japanese-style accommodations. Further, regional dummy variables were added to the model, which showed the price differences of accommodations between the cities and peripheral areas. Based on these results, Western style facilities were found to be more expensive before tourism development took off, and they were limited only in the part of areas in Okinawa.
Island Development Early prtiod of toruism destination Regression Model Principal Component Analysis Okinawa History of Japanese Economy
Primary Language | English |
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Subjects | Tourism (Other) |
Journal Section | Contents |
Authors | |
Early Pub Date | August 3, 2023 |
Publication Date | April 30, 2024 |
Published in Issue | Year 2024 Volume: 9 Issue: 1 |
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