Assistant Professor of Integrated Resort and Tourism Management

Richard is an assistant professor in the Department of Integrated Resort and Tourism Management, Faculty of Business Administration at University of Macau. He is a PhD graduate of the Hong Kong Polytechnic University. His research interests include tourism economics, tourist choice analysis, and tourism demand modelling and forecasting.

  • Ph.D. in Tourism Management, The Hong Kong Polytechnic University, Hong Kong (2019)
  • M.A. in Economics, Vanderbilt University, USA (2014)
  • M.A. in Economics, University of Toronto, Canada (2008)
  • B.A. in Economics, University of Western Ontario, Canada (2007)
  • Assistant Professor, Department of Integrated Resort and Tourism Management, University of Macau (Aug. 2019 – date)
  • Postdoctoral Fellow, School of Hospitality and Tourism Management, The Hong Kong Polytechnic University, (Feb. 2019 – Aug. 2019)
  • Research Associate, School of Hospitality and Tourism Management, The Hong Kong Polytechnic University, (Jun. 2018 – Feb. 2019)
  • Thea Sinclair Award for Journal Article Excellence – 2020, for the paper “Revisiting the relationship between host attitudes and tourism development: A utility maximization approach” in Tourism Economics (75:2, 171-188), Editorial Board of Tourism Economics and SAGE (November, 2020)
  • Best Ph.D. Thesis Award by School of Hotel and Tourism Management, The Hong Kong Polytechnic University (November, 2019)
  • Undergraduate Courses
    • Special Topics in Hotel and Resort Management (IRTM4009)
    • Questionnaire Design and Survey Data Analysis (IRTM4008)
  • Graduate Courses
    • International Integrated Resort Management (IRTM7010)
    • Special Topics in Integrated Resort (IRTM7040)
    • Research Writing (BAGC8000)
  • Tourism Economics
  • Tourist Choice Analysis
  • Tourism Demand Modeling
  • Tourism Demand Forecasting
  • Construction and application of tourist city attractiveness index, funded by University of Macau (File No.: MYRG2020-00047-FBA), MOP 125,000, 2022-2023, PI
  • How far can tourism reach in our economy? An investigation of Macau’s tourism satellite account, funded by the Higher Education Bureau (FES) of Macao (Ref. No.: TET-UMAC-2020-03), MOP 330,600, 2020-2022, PI
  • Are Search Queries Useful in Tourism Demand Forecasting – A Time Varying Parameter Mixed-Data Sampling Approach, funded by the RGC General Research Fund, HKD 450,000, 2021-2022, CI
  • Hierarchical Pattern Recognition in Tourism Demand Modeling and Forecasting, funded by University of Macau (File No.: SRG2019-00182-FBA), MOP 150,000, 2019-2021, PI
  • Modeling and Forecasting Tourism Demand in Hong Kong SAR Using the Mixed Frequency Approach – Theoretical Exposition and Empirical Evidence, funded by National Natural Science Foundation of China (Grant No.: 71673233), 2017-2018, CI
  • General-to-Specific Modeling with Bootstrap Aggregation in Tourism Demand Forecasting, funded by the RGC General Research Fund (Grant No.: PolyU5969/13H), 2014-2015, RA
  1. Qiu, R. T. R., Wu, D. C., Dropsy, V., Petit, S., Pratt, S., & Ohe, Y., Visitor arrival forecast amid COVID19: Asia-Pacific team, Annals of Tourism Research, Forthcoming (ABS4)
  2. Hu, M., Qiu, R. T. R., Wu, D. C., and Song, H. (2021), Hierarchical pattern recognition for tourism demand forecasting, Tourism Management84, 104263 (ABS4)
  3. Liu, A., Fan, D. X. F., and Qiu, R. T. R. (2021), Does Culture Affect Tourism Demand? A Global Perspective, Journal of Hospitality & Tourism Research45(1), 192-214 (ABS2)
  4. Qiu, R. T. R. , Park, J., Li, SN., and Song, H. (2020), Social costs of tourism during the COVID-19 pandemic, Annals of Tourism Research84, 102994 (ABS4)
  5. Masiero, L., Qiu, R. T. R., and Zoltan, J. (2020), Long-haul tourist preferences for stopover destination visits, Journal of Travel Research59(5), 811-827 (ABS4)
  6. Yao, B., Qiu, R. T. R., Fan, D. X. F., Liu, A., & Buhalis, D. (2019), Standing out from the crowd –An investigation of the signal attributes of Airbnb listings, International Journal of Contemporary Hospitality Management31(12), 4520-4542 (ABS3)
  7. Song, H., Qiu, R. T. R. & Park, J. (2019), A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting, Annals of Tourism Research75, 338–362 (ABS4)
  8. Masiero, L., Yang, Y., & Qiu, R. T. R. (2019), Understanding hotel location preference of customers:Comparing random utility and random regret decision rules, Tourism Management73, 83–93 (ABS4)
  9. Fan, D. X. F., Liu, A., & Qiu, R. T. R. (2019), Revisiting the relationship between host attitudes and tourism development: A utility maximization approach, Tourism Economics75(2), 171–188 (ABS2)
  10. Masiero, L. & Qiu, R. T. R. (2018), Modeling reference experience in destination choice, Annals of Tourism Research72, 58–74 (ABS4)
  11. Qiu, R. T. R., Masiero, L., & Li, G. (2018), The psychological process of travel destination choice, , Journalof Travel & Tourism Marketing35(6), 691–705 (ABS2)
  1. Qiu, R. T. R. ,Fan, D. X. F., & Liu, A. (2018) Exploring the Booking Determinants of the Airbnb Properties: An Example of the Listings of London. In: Stangl, B., Pesonen, J. (eds) Information and Communication Technologies in Tourism 2018, 44-51. Springer, Cham
  2. Song, H., Witt, S. F., Qiu, R. T. R. (2017) Can Bagging Improve the Forecasting Performance of Tourism Demand Models?. In: Kreinovich, V., Sriboonchitta, S., Huynh, VN. (eds) Robustness in Econometrics. Studies in Computational Intelligence, vol 692, 419-433. Springer, Cham
  • Master Students
    • HUO, Yanbang (Amanda), Online purchase of Macao tourism merchandise – The perspectives from Mainland Chinese visitors. (December, 2020)
    • CHEN, Bohan (Bob), The importance of Macanese cuisine on the (re)visit intention to Macao from the perspective of mainland Chinese visitors. (July, 2020)
  • Member of editorial board for Tourism Economics since 2020
  • Certified Hospitality Educator (CHE) by the American Hotel & Lodging Educational Institute (AHLEI) since 2017
  • Member of International Association for Tourism Economics (IATE) since 2017