32
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Estimated Effects of Different Alcohol Taxation and Price Policies on Health Inequalities: A Mathematical Modelling Study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          While evidence that alcohol pricing policies reduce alcohol-related health harm is robust, and alcohol taxation increases are a WHO “best buy” intervention, there is a lack of research comparing the scale and distribution across society of health impacts arising from alternative tax and price policy options. The aim of this study is to test whether four common alcohol taxation and pricing strategies differ in their impact on health inequalities.

          Methods and Findings

          An econometric epidemiological model was built with England 2014/2015 as the setting. Four pricing strategies implemented on top of the current tax were equalised to give the same 4.3% population-wide reduction in total alcohol-related mortality: current tax increase, a 13.4% all-product duty increase under the current UK system; a value-based tax, a 4.0% ad valorem tax based on product price; a strength-based tax, a volumetric tax of £0.22 per UK alcohol unit (= 8 g of ethanol); and minimum unit pricing, a minimum price threshold of £0.50 per unit, below which alcohol cannot be sold. Model inputs were calculated by combining data from representative household surveys on alcohol purchasing and consumption, administrative and healthcare data on 43 alcohol-attributable diseases, and published price elasticities and relative risk functions. Outcomes were annual per capita consumption, consumer spending, and alcohol-related deaths. Uncertainty was assessed via partial probabilistic sensitivity analysis (PSA) and scenario analysis.

          The pricing strategies differ as to how effects are distributed across the population, and, from a public health perspective, heavy drinkers in routine/manual occupations are a key group as they are at greatest risk of health harm from their drinking. Strength-based taxation and minimum unit pricing would have greater effects on mortality among drinkers in routine/manual occupations (particularly for heavy drinkers, where the estimated policy effects on mortality rates are as follows: current tax increase, −3.2%; value-based tax, −2.9%; strength-based tax, −6.1%; minimum unit pricing, −7.8%) and lesser impacts among drinkers in professional/managerial occupations (for heavy drinkers: current tax increase, −1.3%; value-based tax, −1.4%; strength-based tax, +0.2%; minimum unit pricing, +0.8%). Results from the PSA give slightly greater mean effects for both the routine/manual (current tax increase, −3.6% [95% uncertainty interval (UI) −6.1%, −0.6%]; value-based tax, −3.3% [UI −5.1%, −1.7%]; strength-based tax, −7.5% [UI −13.7%, −3.9%]; minimum unit pricing, −10.3% [UI −10.3%, −7.0%]) and professional/managerial occupation groups (current tax increase, −1.8% [UI −4.7%, +1.6%]; value-based tax, −1.9% [UI −3.6%, +0.4%]; strength-based tax, −0.8% [UI −6.9%, +4.0%]; minimum unit pricing, −0.7% [UI −5.6%, +3.6%]). Impacts of price changes on moderate drinkers were small regardless of income or socioeconomic group. Analysis of uncertainty shows that the relative effectiveness of the four policies is fairly stable, although uncertainty in the absolute scale of effects exists. Volumetric taxation and minimum unit pricing consistently outperform increasing the current tax or adding an ad valorem tax in terms of reducing mortality among the heaviest drinkers and reducing alcohol-related health inequalities (e.g., in the routine/manual occupation group, volumetric taxation reduces deaths more than increasing the current tax in 26 out of 30 probabilistic runs, minimum unit pricing reduces deaths more than volumetric tax in 21 out of 30 runs, and minimum unit pricing reduces deaths more than increasing the current tax in 30 out of 30 runs). Study limitations include reducing model complexity by not considering a largely ineffective ban on below-tax alcohol sales, special duty rates covering only small shares of the market, and the impact of tax fraud or retailer non-compliance with minimum unit prices.

          Conclusions

          Our model estimates that, compared to tax increases under the current system or introducing taxation based on product value, alcohol-content-based taxation or minimum unit pricing would lead to larger reductions in health inequalities across income groups. We also estimate that alcohol-content-based taxation and minimum unit pricing would have the largest impact on harmful drinking, with minimal effects on those drinking in moderation.

          Abstract

          In this mathematical modelling study, Petra Meier and colleagues estimate the impact of different alcohol taxation and pricing structures on consumption, spending, and health inequalities.

          Editors' Summary

          Background

          People have drunk alcoholic beverages throughout history. However, harmful alcohol consumption is currently responsible for around 2.7 million deaths every year and is a leading risk factor worldwide for heart disease, liver disease, and many other health problems. It also affects the well-being and health of people around those who drink, both within the household and through alcohol-related crime and road traffic crashes. As with most products, the price of alcohol influences how much people buy and consume. Alcohol affordability is an important driver of alcohol consumption, and in many countries, including the UK and US, alcohol prices have not kept pace with inflation and rising incomes. Alcohol taxes have the dual function of raising revenues and regulating alcohol prices. Different countries employ different alcohol-specific taxation structures including taxation by beverage volume, by value, or by alcohol content. Some countries also have additional price control measures that prevent the sale of very cheap alcohol.

          Why Was This Study Done?

          Although research shows that increases in the price of alcohol brought about by taxation or other pricing policies reduce alcohol consumption and alcohol-related harm, little is known about how alternative tax and price policy options affect the scale and distribution of alcohol-related health impacts across society. This is important because people with lower social status and/or income are disproportionately affected by alcohol-related disease. An effective public health policy to reduce alcohol harm might, therefore, help to reduce social disparities in health (health inequality), a major goal of population health policies in affluent countries.

          What Did the Researchers Do and Find?

          Here, the researchers use the Sheffield Alcohol Policy Model (SAPM) to investigate the effects of four common alcohol taxation and price policies on health inequalities in England during 2014/2015. SAPM is a deterministic mathematical simulation model that estimates how price changes affect individual-level alcohol consumption and how consumption changes affect the illnesses (morbidity), deaths (mortality), and economic costs associated with 43 alcohol-attributable conditions. The researchers used SAPM to simulate the effect of increasing the existing UK duty on all alcohol products by 13.4% (current tax increase), introducing a 4% tax based on product price (value-based, or ad valorem, taxation), introducing a tax of £0.22 per alcohol unit (strength-based, or volumetric, taxation), or setting a minimum price threshold of £0.50 per alcohol unit (minimum unit pricing). The magnitudes of the different policy-induced price increases modeled were chosen to result in the same overall population-wide 4.3% decrease in alcohol-related mortality. Notably, the impacts of policy changes on moderate drinkers were small, regardless of income/socioeconomic group. However, among heavy drinkers, the effects of the four policies were differentially distributed across the population. Among heavy drinkers in the lowest socioeconomic group (the population group at greatest risk of harm from alcohol use), the estimated effects on mortality rates were −3.2% for the current tax increase (that is, it reduced alcohol-related deaths by 3.2%), −2.9% for value-based taxation, −6.1% for strength-based taxation, and −7.8% for minimum unit pricing. Among heavy drinkers in the highest socioeconomic group, the corresponding effects on mortality rates were −1.3%, −1.4%, +0.2%, and +0.8%.

          What Do These Findings Mean?

          As with any policy modelling, the accuracy of these findings depends on the evidence base, the quality of the data incorporated into the model, and the assumptions used. Limitations to the analysis here include that, due to an absence of evidence, the researchers have not examined the impact of any tax avoidance, which could potentially vary between the policies. The study findings suggest that in England (and probably in other countries) the introduction of strength-based taxation or minimum unit pricing would lead to larger reductions in health inequalities among heavy drinkers than an increase in the current tax rate or the introduction of value-based taxation. That is, the two policy options that target cheap, high-strength alcohol are likely to outperform value-based taxation and increasing the current UK tax in terms of reducing health inequalities. Thus, although these policies might be considered “regressive” (i.e., affecting the poor more than the rich) in terms of consumption and spending, they are at the same time “progressive” in that they reduce health inequalities. Finally, these findings suggest that minimum unit pricing and strength-based taxation, unlike the other two options tested, would target harmful drinking without unnecessarily penalizing people with low incomes who drink moderate amounts of alcohol.

          Additional Information

          This list of resources contains links that can be accessed when viewing the PDF on a device or via the online version of the article at http://dx.doi.org/10.1371/journal.pmed.1001963.

          Related collections

          Most cited references20

          • Record: found
          • Abstract: found
          • Article: not found

          A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

          The Lancet, 380(9859), 2224-2260
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Effects of alcohol tax and price policies on morbidity and mortality: a systematic review.

            We systematically reviewed the effects of alcohol taxes and prices on alcohol-related morbidity and mortality to assess their public health impact. We searched 12 databases, along with articles' reference lists, for studies providing estimates of the relationship between alcohol taxes and prices and measures of risky behavior or morbidity and mortality, then coded for effect sizes and numerous population and study characteristics. We combined independent estimates in random-effects models to obtain aggregate effect estimates. We identified 50 articles, containing 340 estimates. Meta-estimates were r = -0.347 for alcohol-related disease and injury outcomes, -0.022 for violence, -0.048 for suicide, -0.112 for traffic crash outcomes, -0.055 for sexually transmitted diseases, -0.022 for other drug use, and -0.014 for crime and other misbehavior measures. All except suicide were statistically significant. Public policies affecting the price of alcoholic beverages have significant effects on alcohol-related disease and injury rates. Our results suggest that doubling the alcohol tax would reduce alcohol-related mortality by an average of 35%, traffic crash deaths by 11%, sexually transmitted disease by 6%, violence by 2%, and crime by 1.4%.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Estimated effect of alcohol pricing policies on health and health economic outcomes in England: an epidemiological model.

              Although pricing policies for alcohol are known to be effective, little is known about how specific interventions affect health-care costs and health-related quality-of-life outcomes for different types of drinkers. We assessed effects of alcohol pricing and promotion policy options in various population subgroups. We built an epidemiological mathematical model to appraise 18 pricing policies, with English data from the Expenditure and Food Survey and the General Household Survey for average and peak alcohol consumption. We used results from econometric analyses (256 own-price and cross-price elasticity estimates) to estimate effects of policies on alcohol consumption. We applied risk functions from systemic reviews and meta-analyses, or derived from attributable fractions, to model the effect of consumption changes on mortality and disease prevalence for 47 illnesses. General price increases were effective for reduction of consumption, health-care costs, and health-related quality of life losses in all population subgroups. Minimum pricing policies can maintain this level of effectiveness for harmful drinkers while reducing effects on consumer spending for moderate drinkers. Total bans of supermarket and off-license discounting are effective but banning only large discounts has little effect. Young adult drinkers aged 18-24 years are especially affected by policies that raise prices in pubs and bars. Minimum pricing policies and discounting restrictions might warrant further consideration because both strategies are estimated to reduce alcohol consumption, and related health harms and costs, with drinker spending increases targeting those who incur most harm. Policy Research Programme, UK Department of Health. Copyright 2010 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                23 February 2016
                February 2016
                : 13
                : 2
                : e1001963
                Affiliations
                [1 ]Sheffield Alcohol Research Group, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
                [2 ]Bresmed Health Solutions, Sheffield, United Kingdom
                Stanford University, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist. The original data creators, depositors, copyright holders, or funders of the data collection, and the UK Data Archive, bear no responsibility for analyses or interpretation of the data described in this report. The UK Living Costs and Food Survey and Health Survey for England are Crown Copyright material.

                Conceived and designed the experiments: PSM AB. Performed the experiments: AKA JH CA YM. Analyzed the data: AKA CA YM. Wrote the first draft of the manuscript: PSM. Contributed to the writing of the manuscript: PSM JH CA AB. Agree with the manuscript’s results and conclusions: PSM JH CA AB AKA YM. Decision model development: AB YM CA. Principal investigator of the study, planned the policy appraisals and wrote the manuscript: PSM. Contributed to the planning of analyses and the write-up and interpretation of the findings: JH. Directed the modelling team: AB. Developed tax appraisal capabilities in the Sheffield Alcohol Policy Model (SAPM): YM. Had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis: CA AKA. All authors have read, and confirm that they meet, the ICMJE criteria for authorship.

                Article
                PMEDICINE-D-15-01313
                10.1371/journal.pmed.1001963
                4764336
                26905063
                ef77d37d-baa7-4467-8bc8-fd4cde9de692
                © 2016 Meier et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 April 2015
                : 15 January 2016
                Page count
                Figures: 6, Tables: 5, Pages: 27
                Funding
                The development of SAPM v3 was funded by Medical Research Council/Economic and Social Research Council joint grant G1000043 (PSM was chief investigator; AB co-investigator; and JH, YM, AKA, and CA are researchers whose salaries were part-funded from the grant). JH’s, AKA’s, and CA’s salaries were also supported by the National Institute of Health Research School of Public Health Research programme grant and Medical Research Council grant MR/K023195/1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Nutrition
                Diet
                Alcohol Consumption
                Medicine and Health Sciences
                Nutrition
                Diet
                Alcohol Consumption
                Social Sciences
                Political Science
                Public Policy
                Taxes
                Social Sciences
                Economics
                Finance
                Taxation
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                People and Places
                Demography
                Death Rates
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Biology and Life Sciences
                Nutrition
                Diet
                Beverages
                Medicine and Health Sciences
                Nutrition
                Diet
                Beverages
                Biology and Life Sciences
                Psychology
                Addiction
                Alcoholism
                Social Sciences
                Psychology
                Addiction
                Alcoholism
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Substance-Related Disorders
                Alcoholism
                Medicine and Health Sciences
                Public and Occupational Health
                Substance-Related Disorders
                Alcoholism
                Custom metadata
                S1 Data gives details on how other researchers can access each of the underlying data sources. The authors are not the owners of the data, therefore other researchers would need to also register with or approach the data owners.

                Medicine
                Medicine

                Comments

                Comment on this article