Residential College | false |
Status | 已發表Published |
Predicting hotel occupancies with public data: An application of OECD indices as leading indicators | |
Tang, Candy Mei Fung1; King, Brian2; Pratt, Stephen2 | |
2017-08 | |
Source Publication | TOURISM ECONOMICS |
ISSN | 1354-8166 |
Volume | 23Issue:5Pages:1096-1113 |
Abstract | This study demonstrates the value of using readily available Organisation for Economic Co-Operation and Development (OECD) indicators to estimate hotel occupancy trends in a particular territory (Hong Kong) drawing upon almost four decades of data (1972-2010). The indicators predict the economic climate at global, regional and national levels by providing comprehensive statistically based economic information. They should be of particular benefit for resource-constrained small and/or independent hotel operations for whom accurate occupancy predictions facilitate a more targeted approach to strategic investments. Using the OECD indicators offers hoteliers an alternative to acquiring expensive data and/or consultant inputs. The article shows the merit of OECD composite indicators generally and of the consumer confidence index in particular as publicly available and reliable data which can provide hoteliers with early signals about shifting demand. It contributes to tourism economics by demonstrating the merit of indices as a supplement to both established demand forecasts and as an input to hotel revenue management systems. |
Keyword | Oecd Hotel Occupancy Revenue Management |
DOI | 10.1177/1354816616666670 |
URL | View the original |
Indexed By | SSCI |
Language | 英語English |
WOS Research Area | Business & Economics ; Social Sciences - Other Topics |
WOS Subject | Economics ; Hospitality, Leisure, Sport & Tourism |
WOS ID | WOS:000405526200012 |
Publisher | SAGE PUBLICATIONS LTD |
The Source to Article | WOS |
Scopus ID | 2-s2.0-85049297499 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF INTEGRATED RESORT AND TOURISM MANAGEMENT Faculty of Business Administration |
Affiliation | 1.University of Macau, China 2.Hong Kong Polytechnic University, Hong Kong |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Tang, Candy Mei Fung,King, Brian,Pratt, Stephen. Predicting hotel occupancies with public data: An application of OECD indices as leading indicators[J]. TOURISM ECONOMICS, 2017, 23(5), 1096-1113. |
APA | Tang, Candy Mei Fung., King, Brian., & Pratt, Stephen (2017). Predicting hotel occupancies with public data: An application of OECD indices as leading indicators. TOURISM ECONOMICS, 23(5), 1096-1113. |
MLA | Tang, Candy Mei Fung,et al."Predicting hotel occupancies with public data: An application of OECD indices as leading indicators".TOURISM ECONOMICS 23.5(2017):1096-1113. |
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