Price-based measures to reduce alcohol consumption

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Price-based measures to reduce alcohol consumption Andrew Leicester (with Rachel Griffith and Martin O Connell) Health Economics Research Unit, University of Aberdeen 12 th March 2013

Introduction Governments long been concerned about excess alcohol intake Excise taxes have been main price-based intervention to date annual real-terms increases since 2008, planned to 2014 Recent consideration of alternative policies: 1. Minimum unit price (MUP) floor price based on alcohol content 1 unit = 10ml alcohol 2. Banning quantity-based alcohol promotions prohibit multi-buy deals, discounts on multi-packs

Current analysis: preliminary findings We compare the effectiveness of different price-based policies: MUP of 45p quantity discount ban reformed excise tax system targeting alcohol strength We use detailed longitudinal household off-trade purchase data Make simple assumptions about behavioural responses and ask: are policies well-targeted on problem drinkers? what are the implications for spending, tax revenue, firm revenue? Our results so far suggest that: tax reform would be better-targeted than MUP tax reform also raises revenue for government, not industry quantity discount bans are very poorly-targeted

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive figures for off-trade alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

1970 1974 1978 1982 1986 1990 1994 1998 2002 2006 2010 Annual alcohol intake (litres p.c.) Intake trend differs in UK from near-neighbours Average intake of alcohol (litres per adult), 1970 to 2010 25 20 15 10 5 0 UK France Germany Italy Spain Source: OECD Health Statistics 2012

1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 Real index (Jan 1990=100) Real alcohol price flat, but on/off differential Relative alcohol price indices,1990 to 2012 140 130 120 110 100 90 80 70 60 Beer (on) Beer (off) Wine & spirits (on) Wine & spirits (off) All alcohol Source: Calculated from ONS Retail Prices Index data

1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 Real index (Jan 1990=100) Alcohol affordability has recently fallen back Real alcohol prices and real incomes, 1990 to 2012 130 125 120 115 110 105 100 95 90 85 80 Earnings Price Affordability Source: Calculated from ONS Retail Prices Index data and average earnings data. Note: average earnings and affordability indices are 12-month moving averages.

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Rationale for price-based intervention Excess alcohol intake generates external costs crime, anti-social behaviour, family problems public costs of treating health harms, productivity spillovers time inconsistency could generate externalities for future self Effective interventions depend on: targeting problem drinking: price according to marginal externality varies across drinkers and drinks may not be able to target high cost consumption directly response to price changes does demand for high cost units fall as price rises? how do firms respond to intervention? Optimal policy needs to trade-off benefits from reducing problem consumption against costs of reducing low-cost consumption

Our analysis We explore whether policies effectively target heavy drinkers average weekly intake above recommended levels drinking small amounts unlikely to generate external costs Other drinking habits may also be of policy concern binge drinking, under-age drinking we do not have data on this specifically but interesting to explore Different reforms effectively targeted if heavy drinkers tend to: buy cheap alcohol (minimum pricing) buy strong alcohol (tax reform) assess with data buy in bulk (quantity discount ban) We do not directly estimate price responsiveness to policy assume values drawing on literature

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Data Market research in home scanner data from Kantar Worldpanel GB household-level panel, sample size c. 25,000 households can drop out at any time, mean duration c. 2 years demographics recorded at sign up, update approx. every 9 months Records each item purchased on each trip at barcode level price matched in from till receipts, includes deal information calculate ABV % from data, online sources and ONS use HMRC data to match in excise tax levied on each purchase Use 52 weeks from Nov 2009 to Oct 2010 select sample of households who report spending consistently 21,542 hhs (median: 301 day duration), 522,125 alcohol purchases Calculate units purchased per adult per week for each household

Data Data weighted so that observed spending in sample matches total off-trade spending from ONS National Accounts lines up well with tax and quantity data from HMRC by alcohol type Key strengths long observation period: purchases should approximate intake large sample size detailed purchase and price information Key weaknesses no on-trade purchases household-level not individual-level data purchase not consumption (cannot measure e.g. bingeing)

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Alcohol purchase behaviour by intake level Grouped by average off-trade units per adult per week Units N % Litres of drink per adult/week Avg. strength (ABV) NHS guidelines for hazardous drinking: 14+ units per week (6+ in one session) for women 21+ units per week (8+ in one session) for men Avg. pence per unit % units on quantity discount 7 16,427 76% 0.2 10.5% 45.4 17.0% >7, 14 2,586 12% 1.1 11.0% 42.5 16.1% >14, 21 1,103 5% 1.8 12.3% 41.4 14.5% >21, 35 898 4% 2.7 12.9% 39.5 13.7% >35 528 2% 4.9 14.3% 37.5 11.5% Our figures suggest 6 to 11% of households hazardous on basis of average off-trade consumption

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Minimum unit price Home Office has recommended a 45p MUP for England & Wales policy currently under consultation Scottish government has legislated for a 50p MUP implementation delayed pending a legal challenge We assess the impact of a 45p MUP across Britain assume the 45p rate was applicable in April 2012 assume rate uprated each year in line with excise duties thus we actually simulate rates of 38p and 40p change applies on 29 March 2010 when excise taxes rose

% of units below MUP MUP affects majority of off-trade units Proportion of units below simulated MUP by alcohol type, 2010 90 80 70 60 50 40 30 20 10 0 Avg. pence per unit Cider Spirits Beer Wine Alcopops All 28.1 40.6 38.7 45.5 81.2 51.4 Source: Calculated from Kantar Worldpanel 2010 data. MUP applied is 38p, rising to 40p from 29/3/10.

Reforms to alcohol excise taxes Excise taxes are specific, vary by alcohol type and strength raise around 10 billion, just under 2% of receipts Broad structure governed by EU Directive (92/83/EEC) beer, spirits taxed by alcohol content wine, cider taxed by volume of product (within strength bands)

Excise duty per unit of alcohol (pence) Baseline alcohol excise tax structure, 2009/10 Excise duty rate per alcohol unit, by type and strength 60 50 40 30 Wine Sparkling wine Spirits and alcopops Beer Cider 20 10 0 0 4 8 12 16 20 24 28 32 36 40 % ABV strength Source: Calculated from HMRC data.

Reforms to alcohol excise taxes Taxes do not look well-targeted on strong alcohol We consider more radical reform in which tax is levied on alcohol content directly for all alcohol types Examine three possibilities: tax all units of alcohol equally vary rate by type but not strength vary rate by type, rate increases with strength Note: These rates applied before April 2010. We assume rates then rise in line with actual duties.

Excise duty/unit (pence) Excise duty/unit (pence) Excise duty/unit (pence) Excise duty/unit (pence) Reformed alcohol tax structures, 2009/10 Simulated excise duty rates per alcohol unit, by type and strength 60 50 40 30 Wine Sparkling wine Spirits and alcopops Beer Cider 60 50 40 30 20 20 10 10 0 0 4 8 12 16 20 24 28 32 36 40 % ABV strength 0 0 4 8 12 16 20 24 28 32 36 40 % ABV strength 60 50 40 Wines and spirits Beers, ciders and alcopops 60 50 40 Wines and spirits Beers, ciders and alcopops 30 30 20 20 10 10 0 0 4 8 12 16 20 24 28 32 36 40 % ABV strength 0 0 4 8 12 16 20 24 28 32 36 40 % ABV strength

Reforms to alcohol excise taxes Taxes do not look well-targeted on strong alcohol We consider more radical reform in which tax is levied on alcohol content directly for all alcohol types Examine three possibilities: tax all units of alcohol equally vary rate by type but not strength vary rate by type, rate increases with strength The particular rates we choose are designed to achieve same aggregate reduction in units as the MUP simulation impact across households and on revenues will differ Aim is not to suggest these particular reforms are optimal want to compare to MUP on basis they achieve a common outcome

Quantity discount ban Implemented in Scotland (off-trade) in October 2011 Under consultation in England and Wales Policy applies to: quantity-based special offers (BOGOF, 3F2, 5% off 6 bottles, etc.) bulk discount of given container size/brand combination (single 500ml can = 1, 24-pack 24) if smaller pack available in-store Policy does not apply to: price-based special offers (50% off), extra free offers bulk discount across container sizes (2-litre bottle costs less than 2 1-litre bottle) We describe importance of quantity discounts and large multipacks in alcohol purchases of each household

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Assumed responses to policy interventions Demand-side assume all consumers have alcohol price elasticity of -0.5 central figure in Wagenaar et al. (2009) meta-analysis of 112 studies calculate policy-induced change in avg. price for each household apply elasticity at the household level no wider demand-side responses Supply side e.g. cross price effects between alcohol and other consumption assume firms are essentially passive changes in excise tax are fully passed into final prices prices below MUP are raised to threshold, no other price changes no impact on product range, advertising and promotion etc.

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Multibuy deals in off-trade alcohol (% units) By purchase level and alcohol type, 2010 data Beer Cider Wine Fabs Spirits All 7 units 25.9 22.8 16.1 23.8 4.5 17.0 14 units 24.6 18.7 17.1 23.6 4.4 16.1 21 units 23.4 17.9 16.2 18.7 3.5 14.5 35 units 21.9 17.5 16.3 19.1 3.3 13.7 > 35 units 17.7 22.1 14.4 14.5 2.3 11.5 All 23.4 20.2 16.0 22.0 3.5 14.6 Source: Calculated from Kantar Worldpanel

Multipacks in off-trade alcohol Average items per pack, by purchase level and alcohol type, 2010 data Beer Cider Wine Fabs Spirits 7 units 6.1 2.5 1.0 1.9 1.0 14 units 6.8 2.8 1.0 1.7 1.0 21 units 6.9 2.9 1.0 1.8 1.0 35 units 7.2 2.8 1.0 1.7 1.0 > 35 units 6.2 2.5 1.0 1.6 1.0 All 6.5 2.7 1.0 1.8 1.0 Source: Calculated from Kantar Worldpanel

Typical item size in off-trade alcohol Avg. bottle/can size (mls), by purchase level and alcohol type, 2010 data Beer Cider Wine Fabs Spirits 7 units 437 831 746 458 719 14 units 443 1,077 788 495 762 21 units 452 1,171 825 427 768 35 units 449 1,409 874 457 795 > 35 units 455 1,513 1,000 457 853 All 445 1,126 828 460 778 Source: Calculated from Kantar Worldpanel

Quantity discount ban: key points Policy seems badly-targeted: heavy drinkers do not rely more heavily use of multibuys have not yet looked at variation in type or size of offers used heavy drinkers do not buy larger multi-packs heavy drinkers buy larger containers, but not affected by policy Supply-side response means policy need not raise prices: increase use of price discounts ( 3.33 per bottle, not 3 for 10) reduce price of small packages both allow people to obtain lower unit price at lower quantity could be beneficial remove small packages from sale limit ability to obtain small quantities could be harmful

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Avg. consumption change (%) Consumption response to reforms Average of household-level responses, by intake group Units per adult per week 0-1 -2-3 -4-5 -6-7 -8-9 -10 7 14 21 35 >35 MUP Type-varying tax Single tax rate Type- and strength-varying tax Source: Calculated from Kantar Worldpanel. Note: excludes abstainers.

% increase in grocery budget Distributional issues Effect on household grocery budgets, by income and intake group 0.5 0.4 MUP Type-strength tax 0.3 0.2 0.1 0 < 10k < 20k < 30k < 40k < 50k < 60k 60k Gross annual household income group Source: Calculated from Kantar Worldpanel. Note: excludes abstainers.

Aggregate effects Off-trade units (bn) Alcohol spending ( bn) Tax revenue duty+vat ( bn) Firm revenue ( bn) Baseline 37.04 15.33 8.95 6.39 Change due to policy reform: MUP -2.40 +0.55-0.29 +0.84 (-6.5%) (+3.6%) (-3.3%) (+13.2%) Single tax rate Type-varying tax Type-strength tax -2.39 +0.65 +1.04-0.39 (-6.5%) (+4.3%) (+11.6%) (-6.0%) -2.41 +0.75 +1.15-0.40 (-6.5%) (+4.9%) (+12.9%) (-6.3%) -2.40 +0.64 +0.98-0.34 (-6.5%) (+4.2%) (+11.0%) (-5.4%) Source: Calculated from Kantar Worldpanel.

Summary of policy impacts MUP equivalent to 45p in 2012 prices average impact roughly 2 bigger for heavy drinkers than light mildly regressive generates windfall of around 840m for industry loss of around 290m in tax receipts (duty - 370m, VAT + 80m) Excise tax reform targeting stronger alcohol average impact roughly 3 bigger for heavy drinkers than light mildly regressive reduces industry revenue by around 340 million generates around 980m in tax receipts (duty + 890m, VAT + 90m)

Outline structure Background data on alcohol intake, prices and affordability brief recap on economic rationale for different reforms Methods dataset for analysis descriptive evidence on alcohol purchasing behaviour description of policy reforms analysed assumptions about demand- and supply-side responses Results descriptive analysis of quantity discount ban comparative analysis of effect of MUP and excise tax reform Conclusions, limitations and future plans

Conclusions Quantity discount ban poorly targeted and may well have limited price effect does not seem like a good policy MUP often seen as more targeted than increase in excise duty But reform of duty targeting strong alcohol even better-targeted and would raise tax revenue rather than give industry a windfall European dimension important EU Directive prohibits reform of alcohol taxes as we suggest government should lobby for necessary reform to allow tax change MUP legality under EU Directives?

Further analysis Allow elasticity to vary across alcohol types and intake level draw on literature and meta-analysis relatively consistent variation by type (e.g. beer more elastic) less clear how elasticities vary across intake group estimate off-trade demand model using Worldpanel data Relax assumption of passive firm responses allow firms to re-optimise wider price responses, product choices, advertising and promotion strategies make particular assumptions or try to model explicitly