Impact of smoke-free laws on hospitality businesses in the European perspective
| Author: | Bc. Josef Simpartl |
|---|---|
| Year: | 2020 - summer |
| Leaders: | doc. Petr Janský Ph.D. |
| Consultants: | |
| Work type: | Bachelors |
| Language: | English |
| Pages: | 62 |
| Awards and prizes: | |
| Link: | https://is.cuni.cz/webapps/zzp/detail/202228/ |
| Abstract: | Ever since smoke-free laws regarding the hospitality business were proposed, there was an argument that these policies were going to harm their revenues and employment. This bachelor thesis examines this argument in the European context. The examination is divided into three parts. First, it aims to distinguish between effects of two distinctive forms of smoke-free laws. Second, it analyzes the impact of smoke-free policies over time. Third, it attempts to assess differences of their impact based on regional or socio-economic differences. Using difference-in-differences analysis of administrative annual data from Eurostat database, this thesis does not find any permanent effect of smoke-free laws on revenues or employment of hospitality businesses. The results of the analysis also show, that if there was any significant impact throughout the first years of the smoke-free law’s validity, it was always short-lasting. Still, the over time impacts of the individual forms of smoke-free laws differ. In case of a partial smoke-free law, there is a statistically significant negative impact on turnover immediately after its implementation and a positive impact on employment in the third and fourth year after its implementation. The complete smoking ban does not exhibit any statistically significant impact at all. In case of differences in impacts based on regions, no significant result can be concluded due to a high risk of including other factors that could influence turnovers and employment. The differences based on socio-economic factors appear to be more useful to observe, even though they display no statistically significant result in the short-term. Differences based on the long-term are generally at high risk of being biased. |
