Dr Eden Jiao
Academic and research departments
Surrey Hospitality and Tourism Management, Centre for Competitiveness of the Visitor Economy.About
Biography
Dr Eden Jiao is a Lecturer in Hospitality Analytics in the School of Hospitality and Tourism Management at the University of Surrey. Eden received her PhD degree in Tourism forecasting at the University of Surrey and completed her BSc degree in Mathematical Science at Carnegie Mellon University in the United States. Her main research interests include tourism demand modelling and forecasting, spatial econometric methods in tourism studies and destination competitiveness and resilience.
My qualifications
ResearchResearch interests
- Tourism demand modelling and forecasting
- Spatial econometric methods in tourism research
- Destination competitiveness and resilience
- Tourism economics
Research projects
This project aims to develop a state-of-the-art spatial econometric method which pools all destinations in Asia to measure direct, indirect and total spillover effects across destinations. As a methodological advancement, the global vector autoregressive model will be integrated into the spatial model to further generate direct and indirect effects in response to shocks to certain destinations through impulse response analysis. Impulse response analysis will be conducted for policy simulations in the post-Covid era specifically to examine how potential economic shocks in the post-Covid era will affect the whole system and Hong Kong in particular.
This project is funded by The General Research Fund of Hong Kong Research Grants Council with an amount of £30,700.
Research interests
- Tourism demand modelling and forecasting
- Spatial econometric methods in tourism research
- Destination competitiveness and resilience
- Tourism economics
Research projects
This project aims to develop a state-of-the-art spatial econometric method which pools all destinations in Asia to measure direct, indirect and total spillover effects across destinations. As a methodological advancement, the global vector autoregressive model will be integrated into the spatial model to further generate direct and indirect effects in response to shocks to certain destinations through impulse response analysis. Impulse response analysis will be conducted for policy simulations in the post-Covid era specifically to examine how potential economic shocks in the post-Covid era will affect the whole system and Hong Kong in particular.
This project is funded by The General Research Fund of Hong Kong Research Grants Council with an amount of £30,700.
Teaching
MAN1110 Financial Accounting in Service Industry
MAN2154 Applied Financial Management
MAN490 Accounting and Finance for the Service Industry
MAN3161 Undergraduate Dissertation
Publications
Park, J., Qiu, R. T., Jiao, X., & Song, H. (2024). Reference-dependence in multi-destination choice: A heterogeneous reference point perspective. Annals of Tourism Research, 109, 103845
Jiao, X., Li, G., Qiu, R. T., & Chen, J. L. (2024). Analyzing Destination Resilience From A Spatiotemporal Perspective. Journal of Travel Research, 00472875241245048.
Liu, X., Liu, A., Jiao, X., & Liu, Z. (2024). The impact of policy intervention on international wine demand. International Journal of Contemporary Hospitality Management, (ahead-of-print).
Song, H., Jiao, E., & Park, S. (2023). Sectoral productivity and destination competitiveness. Annals of Tourism Research, 103, 103645.
Chen, J. J., Qiu, R. T., Jiao, X., Song, H., & Li, Y. (2023). Tax deduction or financial subsidy during crisis?: Effectiveness of fiscal policies as pandemic mitigation and recovery measures. Annals of Tourism Research Empirical Insights, 4(2), 100106.
Jiao, X., Chen, J. L., & Li, G. (2021). Forecasting tourism demand: Developing a general nesting spatiotemporal model. Annals of Tourism Research, 90, 103277.
Jiao, X. (2021). Developing Spatiotemporal Econometric Methods for Tourism Demand Forecasting (Doctoral dissertation, University of Surrey).
Jiao, X., Li, G., & Chen, J. L. (2020). Forecasting international tourism demand: a local spatiotemporal model. Annals of Tourism Research, 83, 102937.
Li, G., & Jiao, X. (2020). Tourism forecasting research: a perspective article. Tourism Review, 75(1), 263-266.
Jiao, E. X., & Chen, J. L. (2019). Tourism forecasting: A review of methodological developments over the last decade. Tourism Economics, 25(3), 469-492.