2017
DOI: 10.1002/pam.22016
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The Economic Impact of Smoke‐Free Policies on Restaurants, Cafés, and Bars: Panel Data Estimates From European Countries

Abstract: In this paper, we investigate the extent to which the economic outcomes of restaurants, bars, and cafés have been affected by the introduction of anti-smoking regulations in Europe. We use an unexploited panel database to collect a comprehensive set of information on financial indicators regarding the balance sheets of private and public companies in various economic sectors. The results show that smoke-free policies did not significantly affect the firms' economic performance, irrespective of the balance she… Show more

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Cited by 14 publications
(6 citation statements)
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“…Koksal and Wohlgenant find that smoking bans increase alcohol consumption in restaurants but decrease at-home drinking in the United States 30 . Finally, Pieroni and Salmasi find no significant effect on economic outcomes or employment following smoking bans in European countries 31 .…”
Section: Introductionmentioning
confidence: 88%
“…Koksal and Wohlgenant find that smoking bans increase alcohol consumption in restaurants but decrease at-home drinking in the United States 30 . Finally, Pieroni and Salmasi find no significant effect on economic outcomes or employment following smoking bans in European countries 31 .…”
Section: Introductionmentioning
confidence: 88%
“…Awalime et al (2017) reveal the increasing household costs due to cholera mitigation policy. Meanwhile, Pieroni and Salmasi (2017) reveal that government policy on smoke-free restaurants does not affect the restaurant's performance. Nevertheless, the empirical findings of the COVID-19 mitigation policy's effect on firm performance, especially under the exogenous growth and institutional theory frameworks, receive less attention.…”
Section: Literature Reviewmentioning
confidence: 99%
“…As this study employed a rich data set of information on inpatients across several years, we attempted to borrow the frame of quasi-experimental designs, such as difference-in-differences (DD). The model used was similar to the difference-in-difference-indifferences (DDD) approach used by Falck, Heblich, and Kipar [36] and Pieroni and Salmasi [37]. However, as the SPARCS database does not contain panel data, it is di cult to distinguish macroeconomic trends from the policy impact.…”
Section: Modelmentioning
confidence: 99%