Tourism and hotel revenues before and after passage of smoke-free restaurant ordinances.
BACKGROUND
Claims that ordinances requiring smoke-free restaurants will adversely affect tourism have been used to argue against passing such ordinances. Data exist regarding the validity of these claims.


OBJECTIVE
To determine the changes in hotel revenues and international tourism after passage of smoke-free restaurant ordinances in locales where the effect has been debated.


METHODS
Comparison of hotel revenues and tourism rates before and after passage of 100% smoke-free restaurant ordinances and comparison with US hotel revenue overall.


METHODS
Three states (California, Utah, and Vermont) and 6 cities (Boulder, Colo; Flagstaff, Ariz; Los Angeles, Calif; Mesa, Ariz; New York, NY; and San Francisco, Calif) in which the effect on tourism of smoke-free restaurant ordinances had been debated.


METHODS
Hotel room revenues and hotel revenues as a fraction of total retail sales compared with preordinance revenues and overall US revenues.


RESULTS
In constant 1997 dollars, passage of the smoke-free restaurant ordinance was associated with a statistically significant increase in the rate of change of hotel revenues in 4 localities, no significant change in 4 localities, and a significant slowing in the rate of increase (but not a decrease) in 1 locality. There was no significant change in the rate of change of hotel revenues as a fraction of total retail sales (P=.16) or total US hotel revenues associated with the ordinances when pooled across all localities (P = .93). International tourism was either unaffected or increased following implementation of the smoke-free ordinances.


CONCLUSIONS
Smoke-free ordinances do not appear to adversely affect, and may increase, tourist business.
Glantz
S A
SA
Institute for Health Policy Studies, Department of Medicine, University of California, San Francisco 94143-0124, USA. glantz@medicine.ucsf.edu
Charlesworth
A
A
D003132:Commerce / Q000191:economics / Q000706:statistics & numerical data*; D006798:Housing / Q000191:economics / Q000706:statistics & numerical data*; D006801:Humans; D016014:Linear Models; D011050:Policy Making; D011634:Public Health; D012147:Restaurants / Q000191:economics / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data; D012907:Smoking / Q000331:legislation & jurisprudence*; D000074606:Smoking Prevention; D014028:Tobacco Smoke Pollution / Q000331:legislation & jurisprudence* / Q000517:prevention & control; D014195:Travel / Q000191:economics / Q000706:statistics & numerical data*; D014481:United States
D014028:Tobacco Smoke Pollution