Modeling the Impact of Australia’s Mining Boom on Tourism

Abstract

The Australia tourism industry faces challenges associated with a boom in minerals exports. The erosion of the price competitiveness of destination Australia associated with exchange rate appreciation has adversely affected inbound and domestic tourism while generating increased outbound tourism flows. The mining boom has also driven up labor costs, making it difficult for tourism stakeholders in mining areas to recruit and retain staff. This article highlights the importance of both tourism and mining to Australia, and the changes that are taking place in each sector. It employs a computable general equilibrium model to estimate the economic effects of the boom on Australia's tourism industry and tourism market segments. A micro-level analysis, supplemented by input from key tourism organizations, then highlights the extent and range of tourism impacts associated with the boom, and the strategy implications for different groups of tourism stakeholders.

The determinants of Chinese visitors to Australia: A dynamic demand analysis

“…Chinese migration is expected to have positive effects on tourism via visiting friends and relatives (Dwyer, Pham, Jago, Bailey, & Marshall, 2016). Other mechanisms through which migration can affect tourism include: making the destination country more tourism attractive with diverse culture; business networks that connect the destination and an origin country, stimulating business travel (Seetaram & Dwyer, 2009).…”

Elaboration of Holistic Tourist Satisfaction Index Model for Lithuania

“…As it can be found in the scientific literature (e.g. Dwyer et al, 2016;Huang, Weiler, 2010;etc. ), tourism can be classified into inbound, outbound, and domestic or local.…”

Regional economic development and tourism: A literature review to highlight future directions for regional tourism research

“…These techniques can be classified as either structural or time-series analysis. The most widely used include the input–output model (Lamonica and Mattioli, 2015; Polenske and Hewings, 2004; Pratt, 2015; Smeral, 2015; vanWyk et al, 2015; Watson et al, 2008; Williams, 2016) or computable general equilibrium (CGE) (Allan et al, 2017; Cao et al, 2017; Dong et al, 2018; Dwyer et al, 2016; Inchausti-Sintes, 2015; Li et al, 2017; Mahadevan et al, 2017a, 2017b; Sun and Pratt, 2014). The problem with using the static CGE (or the input–output approach) is that it is an inter-industry model generally used to analyse the economic impact of specific events (a downturn in the economy or an industry, e.g.…”