2019
DOI: 10.1016/j.tmp.2019.05.003
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Tourist tax elasticity in Florida: Spatial effects of county-level room tax rate variation

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Cited by 9 publications
(8 citation statements)
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“…On the other hand, Hudson et al (2019), in a study of eight destinations, did not detect significant evidence to suggest that increases in tax rates beyond that of nearby competing cities may be economically disruptive for cities. Mills, Rosentraub, and Jakar (2019), using county-level data from the state of Florida, similarly argue that tourists are rather price insensitive in their demand for hotel rooms.…”
Section: An Overview Of the Lodging Tax Researchmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, Hudson et al (2019), in a study of eight destinations, did not detect significant evidence to suggest that increases in tax rates beyond that of nearby competing cities may be economically disruptive for cities. Mills, Rosentraub, and Jakar (2019), using county-level data from the state of Florida, similarly argue that tourists are rather price insensitive in their demand for hotel rooms.…”
Section: An Overview Of the Lodging Tax Researchmentioning
confidence: 99%
“…Third, even when this type of data has been available, it has only been used for either a single destination or for relatively few destinations (for instance, Mak and Nishimura 1979;Bonham and Gangnes 1996;do Valle et al 2012;Mills, Rosentraub, and Jakar 2019). Although these studies undoubtedly offer an in-depth understanding of lodging taxrelated implications for the destinations under study, it is somewhat uncertain whether the conclusions made in these studies would also apply across other destinations.…”
Section: An Overview Of the Lodging Tax Researchmentioning
confidence: 99%
“…Mills et al (2019) examined the spatial, county-level incidence of changes to tourist tax rates in Florida from 2003 to 2014. They found that direct and indirect effects of room tax-rate changes on taxable hotel room expenditures were relatively small and largely exported to visitors.…”
Section: Prior Researchmentioning
confidence: 99%
“…For example, in several studies (e.g., Ferrante et al, 2018;Koenig-Lewis and Bischoff, 2005;Lim and McAleer, 2001;Yang and Zhang, 2019) seasonal changes in the number of tourist arrivals and aggregate demand for tourism are measured through moving average techniques. Although some research (e.g., Cetin et al, 2017;Gudkov et al, 2017;Mills et al,2019;Sheng, 2017) evaluated the effectiveness of different types of tax system in the development of the tourism industry, no studies appear to have applied a moving average method to modelling seasonal tax in peer-to-peer accommodations (i.e., Airbnb).…”
Section: Introductionmentioning
confidence: 99%
“…Although some research (e.g. Cetin et al, 2017; Gudkov et al, 2017; Mills et al, 2019; Sheng, 2017) evaluated the effectiveness of different types of tax system in the development of the tourism industry, no studies appear to have applied a moving average method to modelling seasonal tax in peer-to-peer accommodations (i.e. Airbnb).…”
Section: Introductionmentioning
confidence: 99%