selected past examples

Some selected research reports below are examples of projects that our members either lead or contributed significantly to, in the past, for illustration. For more background technical information about the modelling techniques, for example CGE modelling and Tourism Satellite Accounts, please see here. 

 This report estimates the impacts of the games using actual costing data and assumed visitor revenue.  The analysis targeted tourism destination level, such as Gold Coast, Brisbane, Rest of Queensland and Rest of Australia. Net economic impacts were modelled over 9 years of three stages: 4 years for the construction of games infrastructure (pre-games), the year when the games occurred, and 4 years after the games (post-games). The pre-games period focused on the effects of all construction development related to the Games. The games-year investigates the effects of the predicted revenue generated by forecasts of different types of visitors to the Games, with specific expenditure patterns. The post-games period covered the legacy regarding business opportunities that the Games was predicted to bring to the domestic economy.  

This report was done after the Games completed.  The modelling tasks in Report 1 were revised using actual data of visitor numbers and business revenue collected during the Games. Data were provided by the Queensland Government.  

COVID-19 was an unprecedented pandemic, causing devastating economic impacts globally. Among affected industries, tourism was hit hardest.  This paper estimates the short-run economic impacts of the inbound tourism industry on the Australian economy during the pandemic. Direct impacts were estimated using the TSA technique. Economy-wide impacts were assessed using a tourism CGE model. Findings show that the pandemic effects are far and wide across all industries. Adverse impacts are on all occupations including skilled and unskilled labours.  

This paper highlights the impacts of tourism on poverty due to COVID-19, a pandemic that cuts across all countries, particularly in a developing country relying heavily on tourism like Indonesia. A comprehensive model structure was developed to capture 100 household groups for full poverty analysis on the Indonesian economy. Results show devastating effects of the pandemic that significantly retracts a decade of effort on poverty reduction for Bali. Adverse impacts permeate through other non-tourism destinations in the country via inter-regional trade flows.  Empirical evidence from this research is invaluable for government policies to understand the role of tourism in an economy and to combat the adverse impacts on poverty effectively.

Decarbonising tourism is an immeasurable challenge but increasingly recognised as inevitable. The lack of emission data has severely limited necessary policies.  This has prompted developments of theories and models in many different approaches, from production to consumption, from top-down to bottom-up. In any country, the development of tourism carbon emissions needs to be part of a larger comprehensive official statistical system, namely the System of National Accounts (SNA), Tourism Satellite Accounts (TSA) and the National Greenhouse Accounts (NGA), if available, to ensure the adding-up condition. Such requirement is even more important when the task comes down to the regional level. An individual aforementioned approach alone will not render a consistent emissions data set. This research develops a framework integrating the principles of SNA, TSA with the NGA. Tourism emissions are estimated and examined by producing industries, visitor types for tourism destinations in Queensland, a State of Australia. Data are very important for carbon mitigation policies, tailored to the specific context of each destination, when economic growth and environmental objectives are considered.