Hedonic price analysis for high-end rural homestay room rates

被引：17

作者：

Qiao, Hao-Hao ^{[1
]}

Wang, Chao-Hui ^{[1
]}

Chen, Ming-Hsiang ^{[2
,3
]}

Su, Ching-Hui ^{[4
]}

Tsai, Chin-Hsun ^{[4
]}

Liu, Juan ^{[1
]}

机构：

[1] Anhui Normal Univ, Sch Geog & Tourism, Wuhu 241000, Peoples R China

[2] Washington State Univ, Carson Coll Business, Sch Hospitality Business Management, Pullman, WA 99164 USA

[3] Beijing Sport Univ, Sch Recreat Sports & Tourism, Beijing 100084, Peoples R China

[4] Iowa State Univ, Dept Apparel Events & Hospitality Management, Coll Human Sci, Ames, IA 50011 USA

来源：

JOURNAL OF HOSPITALITY AND TOURISM MANAGEMENT | 2021年 / 49卷

基金：

中国国家自然科学基金;

关键词：

High-end rural homestay; Room pricing; Hedonic price model; Geographic weighted regression; GEOGRAPHICALLY WEIGHTED REGRESSION; HOTEL PRICE; TOURISM; STRATEGIES; DETERMINANTS; INDUSTRY; EQUITY; GROWTH; MODEL;

D O I：

10.1016/j.jhtm.2021.08.008

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study analyzes the impact of internal features and external environmental attributes on room prices by using geographic weighted regression (GWR) in high-end rural homestays in China. The results show that (1) distance from the scenic spots (Sdistance) and the number of employees have the most significant effects on room prices; (2) the physical geography factors (slope and aspect) of the homestay have a positive impact on its room price; (3) the GWR coefficient clearly reflects the heterogeneity of the space and the verified GWR is more suited to homestay room pricing. The study expands the hedonic potential for market analysis in the homestay sector and provides operators of high-end rural homestays with the managerial implications of establishing an effective strategy for room pricing and has a certain guiding significance for the layout of homestay industry.

引用

页码：1 / 11

页数：11