Interdependency and spatial spillovers of tourism demand in Asia: a Hong Kong economic policy perspective
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.
The findings will provide important policy implications for relevant policymakers and the tourism industry in Hong Kong to respond effectively to possible fluctuations in economic situations in neighbouring destinations. This will allow Hong Kong’s tourism industry to recover from the pandemic more efficiently, maintain its regional competitive advantage and sustain its long-term healthy development and continuous contributions to Hong Kong’s economy.
Eden Xiaoying Jiao
Dr Jason Chen
Associate Professor in Tourism and Events Management, Director of Postgraduate Research
Jason is an Associate Professor in Tourism and Events Management. Before joining the University of Surrey in 2011, Jason received his BA in Economics in 2004 and MSc in Economics and Statistics in 2007. He then worked as a research assistant at The Hong Kong Polytechnic University, where he obtained his PhD in Tourism Management. Jason has worked with various organisations on research and consultancy projects about tourism demand modelling and forecasting, tourism impact evaluation, and tourist satisfaction assessment.