No abstract

This paper analyses the transitionary economic impact of the post-recession recovery on the tourism industry in Las Vegas. The signs of early recovery in this study are measured by the increasing household income in Southern California (SCA), the most important origin of visitors to Las Vegas. To estimate the multiplier effects of the Las Vegas tourism industry into its neighbouring regions, we employed a "social accounting matrix" within a multi-regional inputoutput model. Our test reveals that intra-industry diversification of the tourism industry in Las Vegas is driven by the changing visitor demand of middle-income classes from SCA. Through the multiplier effects of Las Vegas's tourism industry, Northern California gets the largest ripple effects, followed by Southern California. Findings from this study contribute to further develop effective strategies for ongoing diversification efforts of Las Vegas's tourism industry.Proposed approaches are also applicable to identify the major source of changing demand for tourism activities and to estimate the potential effects through interregional industry linkages. K E Y W O R D S diversification, MRIO, tourism industry, transitionary economic impact

This article estimates the economic impacts of wildfire damage on Korea's regional economies, developing an integrated disaster‐economic system for Korea. The system is composed of four modules: an interregional computable general equilibrium (ICGE) model for the eastern mountain area (EMA) and the rest of Korea, a Bayesian wildfire model, a transportation demand model, and a tourist expenditure model. The model has a hierarchical structure, with the ICGE model serving as a core module to link to three other modules. In the impact analysis of a wildfire, three external shocks are injected into the ICGE model: (1) the wildfire damaged area derived from the Bayesian wildfire model, (2) changes in travel times among cities and counties derived from the transportation demand model, and (3) variations in visitors’ expenditures derived from the tourist expenditure model. The simulation shows that the gross regional product (GRP) of the EMA would decrease by 0.25% to 0.55% without climate change and by 0.51%–1.23% with climate change. This article contributes to the development of quantitative linkages between macro and micro spatial models in a bottom‐up system for the impact analysis of disasters, integrating a regional economic model with a place‐based disaster model and the demands of tourism and transportation.

No abstract