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http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/21353
Nhan đề: | Modeling Airbnb demand to New York City while employing spatial panel data at the listing level |
Tác giả: | Gunter, Ulrich Onder, Irem Zekan, Bozana |
Từ khoá: | Airbnb demand modeling Customer preferences Demand elasticities Sharing economy Spatial Durbin model Traditional accommodation industry |
Năm xuất bản: | 2020 |
Nhà xuất bản: | Elsevier Ltd. |
Tóm tắt: | Using spatial panel data comprising a cross section of 1,461 continuously active Airbnb listings obtained from AirDNA, as well as time series data from NYC and Company and the OECD covering the time period September 2014 to June 2016, the present study quantifies own price, cross price, and income elasticities of Airbnb demand to New York City within an empirical tourism demand framework. The particular goal of the study is to establish whether the relationship between Airbnb and the traditional accommodation industry is of a substitutional or of a complementary nature. Employing a one-way fixed-effects spatial Durbin model, it can be concluded that demand is price-inelastic for Airbnb accommodation in New York City, which is a luxury good, and that the city’s traditional accommodation industry as well as neighboring Airbnb listings are substitutes for the investigated Airbnb listings. The estimation results are robust against several alternative specifications of the regression equation. |
Mô tả: | Tourism Management 77 (2020) 104000 |
Định danh: | http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/21353 |
ISSN: | 0261-5177 |
Bộ sưu tập: | Bài báo_lưu trữ |
Các tập tin trong tài liệu này:
Tập tin | Mô tả | Kích thước | Định dạng | |
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BBKH2003_Modeling Airbnb demand to New York City.pdf Giới hạn truy cập | Modeling Airbnb demand to New York City while employing spatial panel data at the listing level | 1.21 MB | Adobe PDF | Xem/Tải về Yêu cầu tài liệu |
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