Do smoke-free laws affect revenues in pubs and restaurants?

In the debate about laws regulating smoking in restaurants and pubs, there has been some controversy as to whether smoke-free laws would reduce revenues in the hospitality industry. Norway presents an interesting case for three reasons. First, it was among the first countries to implement smoke-free laws, so it is possible to assess the long-term effects. Second, it has a cold climate so if there is a negative effect on revenue one would expect to find it in Norway. Third, the data from Norway are detailed enough to distinguish between revenue from pubs and restaurants. Autoregressive integrated moving average (ARIMA) intervention analysis of bi-monthly observations of revenues in restaurants and pubs show that the law did not have a statistically significant long-term effect on revenue in restaurants or on restaurant revenue as a share of personal consumption. Similar analysis for pubs shows that there was no significant long-run effect on pub revenue

Barriers to Adopting and Implementing Local-Level Tobacco Control Policies

Although California communities have been relatively successful in adopting and implementing a wide range of local tobacco control policies, the process has not been without its setbacks and barriers. Little is known about local policy adoption, and this paper examines these processes related to adopting and implementing outdoor smoke-free policies, focusing on the major barriers faced by local-level tobacco control organizations in this process. Ninety-six projects funded by the California Tobacco Control Program submitted final evaluation reports pertaining to an outdoor smoking objective, and the reports from these projects were analyzed. The barriers were grouped in three primary areas: politically polarizing barriers, organizational barriers, and local political orientation. The barriers identified in this study underscore the need for an organized action plan in adopting local tobacco policy. The authors also suggest potential strategies to offset the barriers, including: (1) having a “champion” who helps to carry an objective forward; (2) tapping into a pool of youth volunteers; (3) collecting and using local data as a persuasive tool; (4) educating the community in smoke-free policy efforts; (5) working strategically within the local political climate; and (6) demonstrating to policymakers the constituent support for proposed policy

The Policy Dystopia Model:an interpretive analysis of tobacco industry political activity

BACKGROUND: Tobacco industry interference has been identified as the greatest obstacle to the implementation of evidence-based measures to reduce tobacco use. Understanding and addressing industry interference in public health policy-making is therefore crucial. Existing conceptualisations of corporate political activity (CPA) are embedded in a business perspective and do not attend to CPA's social and public health costs; most have not drawn on the unique resource represented by internal tobacco industry documents. Building on this literature, including systematic reviews, we develop a critically informed conceptual model of tobacco industry political activity. METHODS AND FINDINGS: We thematically analysed published papers included in two systematic reviews examining tobacco industry influence on taxation and marketing of tobacco; we included 45 of 46 papers in the former category and 20 of 48 papers in the latter (n = 65). We used a grounded theory approach to build taxonomies of "discursive" (argument-based) and "instrumental" (action-based) industry strategies and from these devised the Policy Dystopia Model, which shows that the industry, working through different constituencies, constructs a metanarrative to argue that proposed policies will lead to a dysfunctional future of policy failure and widely dispersed adverse social and economic consequences. Simultaneously, it uses diverse, interlocking insider and outsider instrumental strategies to disseminate this narrative and enhance its persuasiveness in order to secure its preferred policy outcomes. Limitations are that many papers were historical (some dating back to the 1970s) and focused on high-income regions. CONCLUSIONS: The model provides an evidence-based, accessible way of understanding diverse corporate political strategies. It should enable public health actors and officials to preempt these strategies and develop realistic assessments of the industry's claims

Renal replacement therapy in Europe : A summary of the 2013 ERA-EDTA Registry Annual Report with a focus on diabetes mellitus

Publisher Copyright: © The Author 2016. Published by Oxford University Press on behalf of ERA-EDTA.Background: This article provides a summary of the 2013 European Renal Association-European Dialysis and Transplant Association (ERA-EDTA) Registry Annual Report (available at http://www.era-edta-reg.org), with a focus on patients with diabetes mellitus (DM) as the cause of end-stage renal disease (ESRD). Methods: In 2015, the ERA-EDTA Registry received data on renal replacement therapy (RRT) for ESRD from 49 national or regional renal registries in 34 countries in Europe and bordering the Mediterranean Sea. Individual patient datawere provided by 31 registries, while 18 registries provided aggregated data. The total population covered by the participating registries comprised 650 million people. Results: In total, 72 933 patients started RRT for ESRD within the countries and regions reporting to the ERA-EDTA Registry, resulting in an overall incidence of 112 per million population (pmp). The overall prevalence on 31 December 2013was 738 pmp (n = 478 990). Patients with DM as the cause of ESRD comprised 24% of the incident RRT patients (26 pmp) and 17% of the prevalent RRT patients (122 pmp).Whencompared with the USA, the incidence of patients starting RRTpmpsecondary toDMin Europe was five times lower and the incidence of RRT due to other causes of ESRD was two times lower. Overall, 19 426 kidney transplants were performed (30 pmp). The 5-year adjusted survival for all RRT patients was 60.9% [95% confidence interval (CI) 60.5-61.3] and 50.6% (95% CI 49.9-51.2) for patients with DM as the cause of ESRD.publishersversionPeer reviewe

The tobacco industry's use of Wall Street analysts in shaping policy

Objective: To document how the tobacco industry has used Wall Street analysts to further its public policy objectives. Methods: Searching tobacco documents available on the internet, newspaper articles, and transcripts of public hearings. Results: The tobacco industry used nominally independent Wall Street analysts as third parties to support the tobacco industry's legislative agenda at both national and state levels in the USA. The tobacco industry has, for example, edited the testimony of at least one analyst before he testified to the US Senate Judiciary Committee, while representing himself as independent of the industry. Conclusion: The tobacco industry has used undisclosed collaboration with Wall Street analysts, as they have used undisclosed relationships with research scientists and academics, to advance the interests of the tobacco industry in public policy

Smoke-free law did not affect revenue from gaming in Delaware

Methods: Linear regression of gaming revenue and average revenue per machine on a public policy variable, time, while controlling for economic activity and seasonal effects. Results: The linear regression showed that the smoke-free law was associated with no effect on total revenue or average revenue per machine. Conclusion: Smoke-free laws are associated with no change in gaming revenue

The tobacco industry's use of Wall Street analysts in shaping policy

Objective: To document how the tobacco industry has used Wall Street analysts to further its public policy objectives. Methods: Searching tobacco documents available on the internet, newspaper articles, and transcripts of public hearings. Results: The tobacco industry used nominally independent Wall Street analysts as third parties to support the tobacco industry's legislative agenda at both national and state levels in the USA. The tobacco industry has, for example, edited the testimony of at least one analyst before he testified to the US Senate Judiciary Committee, while representing himself as independent of the industry. Conclusion: The tobacco industry has used undisclosed collaboration with Wall Street analysts, as they have used undisclosed relationships with research scientists and academics, to advance the interests of the tobacco industry in public policy

Smoke-free ordinances increase restaurant profit and value

This study estimates the value added to a restaurant by a smoke-free policy using regression analysis of the purchase price of restaurants as a function of the presence of a smoke-free law and other control variables. There was a median increase of 16% (interquartile range 11% to 25%) in the sale price of a restaurant in a jurisdiction with a smoke-free law compared to a comparable restaurant in a community without such a law. This result indicates that contrary to claims made by opponents of smoke-free laws, these laws are associated with an increase in restaurant profitability

The tobacco industry's use of Wall Street analysts in shaping policy

Objective: To document how the tobacco industry has used Wall Street analysts to further its public policy objectives. Methods: Searching tobacco documents available on the internet, newspaper articles, and transcripts of public hearings. Results: The tobacco industry used nominally independent Wall Street analysts as third parties to support the tobacco industry's legislative agenda at both national and state levels in the USA. The tobacco industry has, for example, edited the testimony of at least one analyst before he testified to the US Senate Judiciary Committee, while representing himself as independent of the industry. Conclusion: The tobacco industry has used undisclosed collaboration with Wall Street analysts, as they have used undisclosed relationships with research scientists and academics, to advance the interests of the tobacco industry in public policy