Skip to main content

Effectiveness of implemented global dietary interventions: a scoping review of fiscal policies

Abstract

Background

Although the World Health Organisation (WHO) has proposed the use of fiscal policies to mitigate consumption externalities such as overweight and obesity-related diseases, very little is known about the impacts of the different types and framing of national and/or regional fiscal policies that have been implemented over the years. There is the need to provide up-to-date evidence on the impact of fiscal policies that have been enacted and implemented across the globe.

Methods

We conducted a scoping review of all implemented government fiscal policies in the food and drinks sector to identify the different types of fiscal policies that exist and the scope of their impact on consumers as well as the food environment. Electronic databases such as the Web of Science and Google Scholar were used to search for appropriate literature on the topic. A total of 4,191 articles were retrieved and 127 were synthesized and charted for emerging themes.

Results

The results from this review were synthesized in MS Excel following Arksey & O’Malley (2005). Emerging themes were identified across different countries/settings for synthesis. The results confirms that fiscal policies improve consumers’ health; increase the prices of foods that are high in fats, sugar, and salt; increase government revenue; and shift consumption and purchases towards healthier and untaxed foods.

Conclusion

Governments already have the optimum tool required to effect changes in consumer behaviour and the food environment.

Peer Review reports

Introduction

Scotland is known for eating too much of the wrong things [1]. The food environment is populated with inexpensive salt, fat, and sugary foods. Poor dietary choices have resulted in an increased risk of obesity-related diseases such as hypertension, cardiovascular diseases, type 2 diabetes and certain types of cancers [2,3,4]. Statistically, in 2021, a total of 3.1 million people in the UK were registered to have diabetes, 700,000 more than in 2010 [5]. A switch from the consumption of discretionary foodsFootnote 1—high fat, salt, and sugar foods—to healthy diets high in fruit and vegetables, oil-rich, fibre and whole grains—is required to reduce the burden of diseases in Scotland. However, poor dietary choices are known to persist among people living in the most deprived areas [1].

Food Standard Scotland (FSS) data show that currently, the average person in Scotland consumes 15.1% of energy from saturated fat, which is 4% higher than the recommended percentage. In addition, 14.4% of the energy is derived from sugar, which is 9.4% above the recommended level. The average salt intake is 7.8 g, which is 1.8 g greater than the recommended intake [1].

A 2018 FSS report suggested that 65% of Scotland’s population is either overweight or obese [1]. In 2019, approximately 29% of Scottish adults were classified as obese, ranging from 23% in the least deprived areas to 36% in the most deprived areas. The prevalence of obesity-related NCD has slowly increased since 2014. Estimates show that the rate of obesity-related noncommunicable diseases (NCD) deaths could increase by 10%, from 56 per 100,000 to 62 per 100,000 [6]. In addition, 10% and 20% of five-year-olds and 11-year-olds, respectively, are obese [5], indicating a gloomy health outlook for Scotland.

In addition, a total of 6,697 and 2,181 deaths due to coronary heart disease (CHD) and stroke, respectively, were recorded in 2016. Sadly, 31% of children experience dental decay, while 29% of the population has high blood pressure [1]. NCD such as heart disease, cancer, diabetes, stroke, and liver and lung diseases were the leading causes of death in Scotland, accounting for almost 2/3 of all deaths in 2020. However, studies have shown that 1 in 5 of these deaths could be prevented through public health actions involving unhealthy food and drinks as well as tobacco and alcohol. Estimates suggest that poor health and disability caused by tobacco, alcohol and unhealthy food and drink costs the Scottish economy between £5.6 and £9.3 billion every year [7,8,9]. These statistics demand that policymakers engage with the food system to address these problems.

A recent survey by FSS suggested that more than half of Scottish adults want to see the Scottish Government do more to improve health. The first step is to nudge consumers to reduce the number of discretionary foods consumed by at least half [1]. Suggestions for the government to improve healthy choices include influencing marketing, price and promotion and the availability of unhealthy foods to the populace [10]. Price and promotions are the two dominant tools used by the food industry to drive the consumption of unhealthy products. According to The Food Foundation (2021), 46% of food and drink advertisements involve confectionery, sweet and savoury snacks and soft drinks, while only 2.5% involve fruits and vegetables.

Internationally, many countries and jurisdictions have introduced policies, programs, and guidelines to nudge consumers towards healthy eating. In the UK, the soft drink industry levy, five-a-day campaign, and the Eatwell Guide are the most prominent. Despite the implementation of these policies, the National Health Service is still overburdened by the cost of treating diet-related NCD. As a result, there is a high political interest in taxes and subsidies to improve diets and prevent the economic burden of diseases. Fiscal policies such as taxes come in different forms and sizes, including ad valorem taxes, value-added taxes (VATs), excise taxes, and import tariffs and taxesFootnote 2. Theoretically, taxes (subsidies) create fiscal incentives for buyers to buy less (more) of affected foods, recalibrating overall diet quality [11]. Subsidising nutrient-rich foodsFootnote 3 is relevant because the poorest households in the UK would need to spend more than 70% of their disposable income on food to meet the UK’s Eatwell Guide [5]. Moreover, 10% of children live in households facing severe food insecurity, while 16% of UK adults skip meals due to a lack of money [5]. Ironically, unhealthy foods are three times cheaper than healthy foods.

The World Health Organisation strongly supports the use of fiscal measures to reduce the consumption of nutrient-poor, energy-dense foods [11, 12]. As a result, many countries and jurisdictions such as USA, Mexico, United Kingdom, Chile, Portugal, South Africa, Samoa, Bermuda, Ecuador, Ireland, Mauritius, Mexico, Norway, etc. have implemented fiscal policies to nudge consumers towards eating healthily. However, to our knowledge, there is no synthesis of worldwide studies assessing the impact of existing fiscal policies and drawing lessons that could help shape the food arena in Scotland and the UK. Previous literature reviews are based on simulation studies, including experimental and modelling studies. This scooping review goes beyond previous works by (1) presenting a comprehensive summary of all the fiscal policies implemented globally, (2) focusing on empirical studies based on implemented fiscal policies (excluding simulation studies), and (3) grouping the identified impact under broad themes relevant to policymakers. This review collates diverse research work from different jurisdictions under specific themes to help policy makers make informed decisions about the direction of impact.

The results from the current scoping review show that fiscal policies have significant impacts irrespective of the goal of the government. The positive aspects of fiscal policies include reducing the consumption of targeted foods, increasing the consumption of healthy untargeted foods, and increasing revenue to support government and health goals, i.e., reducing overweight and NCD. On the negative side, taxes increase the cost of consumption, especially for low-income households.

Methods

Literature search strategy

The following electronic databases were used to search for appropriate literature on the topic: PubMed, Academic Search Premier, Web of Science and Google Scholar. A keyword search strategy was developed and based on three main concepts using the search function “AND” to identify relevant articles: “tax/subsidy/fiscal”, “food/nutrition/diet/sugar-sweetened/energy-dense” and “policy/program”. The “OR” function was used to vary the keywords or concepts to expand the results. The search was implemented using (“tax” OR “subsidy” OR “fiscal”) AND (“food” OR “nutrition” OR “diet” OR “sugar-sweetened” OR “energy-dense”) AND (“policy”).

The inclusion criteria were restricted to studies related to fiscal policies that have been implemented and evaluated across various jurisdictions across the world irrespective of methodology or depth of analysis. The period during which the policy or program was implemented and whether it was ongoing or abolished were irrelevantFootnote 4. However, since most fiscal policies on nutrition started in the 1980s, the search period started from 1980 to 2022. The goal is to identify fiscal policies that have been implemented to improve nutrition and/or health.

Studies that were not based on existing government policies were excluded from the analysis. Additionally, studies based on fiscal policies directed towards agriculture, inputs/fertiliser, trade, and farming were excluded from the final analysis. Studies that were not directed towards health or nutrition were excluded. Finally, simulation studies that were not based on existing government policies or programs were also excluded.

We followed the criteria suggested by Arksey & O’Malley [13] to refine the literature for inclusion and exclusion. Before the review, the primary author ensured that duplicate studies were excluded based on the titles of the studies. Examination of the remaining articles was based on their titles, followed by their abstracts and then the full paper. The references of the articles were screened to increase the number of articles included. All articles were independently reviewed by WD, FA, and where there is disagreement VR and CRG were consulted. The final articles included in the final review were charted by WD and refined by the remaining authors (FA, VR, CRG).

Data from the articles were charted using MS Excel following Arksey & O’Malley [13]. The information collected for further analysis included author(s), study country/location, setting intervention, measurable outcomes, effect on outcomes, year, data and method. Emerging themes were identified across different countries/settings for synthesis.

Data abstraction and synthesis

We followed the work of [13, 14] by charting through the literature to synthesise studies relevant to the topic. The data from the studies were analysed using Microsoft Excel, and the characteristics of the studies considered included the name of the authors, the description of the intervention, the country and year the intervention was implemented, and the outcome of the study assessing the impact of the intervention. Outcomes from the various studies were coded, and emerging themes were identified for the results and discussion.

Fig. 1
figure 1

Flowchart of search results Source: Own computation based on literature search

Results

Search outcome

A total of 4,191 articles were retrieved from the three databases shown in Fig. 1. Approximately 2,587 duplicate articles were excluded from the total. Through manual searching, 5 articles were included in the review (mainly from Google Scholar). Table 1 shows the countries and the number/percentage of studies found; the USA had the highest number of studies (44), followed by Mexico (18), the United Kingdom (13), South Africa (5), Portugal (5) and Chile (5). Additionally, there were studies from Australia, Barbados, Bermuda, Canada, Denmark, Ecuador, France, French Polynesia, Hungary, Ireland, Mauritius, Navajo, Norway, the Philippines, Samoa, Saudi Arabia, Spain, Thailand, and Tonga. Tax policies had an impact on household purchases/retail sales, consumer welfare, government revenue, health, diet, and nutrition across 24 different jurisdictions.

Table 1 Countries and the number of studies considered for synthesis

Theme 1: Tax policies may affect household purchases/consumption/sales

This theme considers the impact of taxes on household purchases or consumption and sales across different jurisdictions and policy scenarios. Table 2 shows that tax policies are effective in reducing household purchases and sales.

Table 2 Summary of results on the implications of taxes on consumption, purchases, sales or volume sold

The United Kingdom: United Kingdom Soft Drinks Industry Levy (SDIL) was announced in March 2016 and implemented in April 2018; it charges manufacturers and importers at £0.24 per litre for drinks with over 8 g of sugar per 100 mL (high levy category), £0.18 per litre for drinks with 5 to 8 g of sugar per 100 mL (low levy category), and no charge for drinks with less than 5 g of sugar per 100 mL (no levy category). Scarborough et al. [32] studied the impact of the announcement of the SDIL and found that the number of drinks in the high levy category fell by 3% when the SDIL was announced. Rogers et al. [33] found that the volume of all soft drinks purchased combined increased by 2.6% per household per week a year after the implementation of the tax. On the positive side, the amount of sugar consumed from soft drinks decreased by 2.7% per household per week over the same period. Dickson et al. [34] reported that the reformulation of the SDIL led to a 6,600 calories per year per capita reduction in soft drinks. Bandy et al. [35] reported that the volume of sugar sold per capita per day from soft drinks declined by 30% or 4.6 g per capita per day. In addition, the weight means sugar content of soft drinks decreased from 4.4 g/100 in 2015 to 2.9 g/100 in 2018. Sales of soft drinks subjected to the levy fell by 50%, while those exempted from the levy rose by 40%. Rogers et al. [36] found evidence of a small increase in sugar purchased from all drinks compared to before the announcement of the levy. Pell et al. [37] reported that one year after implementation, the volume of drinks purchased did not change, but sugar purchases declined by 9.8%. Dogbe and Revoredo-Giha [38], considering a tax pass-through of 50%, found that levies reduced annual volume purchases and sugar by 1.4% and 3.9%, respectively. Law et al. [39] found that the announcement of SDIL had a significant negative impact on the turnover of manufacturers; however, this was not carried out postimplementation.

Barbados: In 2015, the government of Barbados implemented a 10% ad valorem tax on SSBs. Alvarado et al. [15] estimated the impact of the policy on SSB purchases using electronic point-of-sale data. The authors applied an interrupted time series (ITS) design to assess grocery store SSB and non-SSB sales from January 2013 to October 2016. The authors found that sales for taxed SSBs decreased by 4.3%, while non-SSB sales increased by 5.2%.

Bermuda: Bermuda implemented a discretionary food tax based on import tariff changes on retail prices and sales of SSBs and tariff reductions for selected fruits and vegetables. The first country to implement both tax and subsidy policies concurrently. Assessing the implications of both policies, Segal et al. [40] found that the market share of SSBs decreased by 8% due to the tax; however, the subsidy policy had no significant effect on sales.

Chile: The Chilean government revised (increased) its SSB tax from 13 to 18% for SSBs with sugar greater than 6.25 g/100 mL and revised (decreased) the SSB tax from 13 to 10% for SSBs with sugar less than 6.25 g/100 mL in 2014. Caro et al. [16] assessed the implications of these changes in Chile using the Chilean Household Budget Survey. The authors found evidence of substitution for cheaper SSBs and a reduction in the average household’s sweetened beverage purchases of 0.9 L per month. Caro et al. [17] also assessed the implications of tax revisions for SSB purchases in Chile and reported that households decreased their monthly per capita purchases of SSBs with a sugar content greater than 6.25 g/100 mL by 3.4% by volume (4% by calories). However, the purchase of SSBs with less than 6.25 g of sugar/100 mL increased by 10.7%. Nakamura et al. [18] also used a fixed effect model to assess the implications of the Chilean SSB tax increase from 13 to 18% for SSBs with a sugar content greater than 6.25 g. The authors found a highly significant decrease in the monthly purchased volume of the taxed drinks by 21.6%.

Denmark: In 2011, the Danish government imposed a tax of 16 DKK/kg (2.14 €/kg) on foods with saturated fat above 2.3 g/100 g. Smed et al. [19] assessed the effect of this tax on food and nutrient intake in Denmark. According to the study, the tax resulted in a 4% decrease in saturated fat purchases. Bødker et al. [20] assessed the implications of the policy for health and consumption and concluded that the total sale of foodstuffs decreased by 0.9%. Another study by Jensen et al. [21] investigated the effects of the tax on meat and dairy demand. The authors found that the tax induced a total decrease of 4–6% in saturated fat intake from minced beef and regular cream but had no effect on the intake of sour cream. Finally, Jensen and Smed [41] assessed the short-term effects of the Danish fat tax on consumption, substitution patterns and consumer prices of fat and found that the level of consumption of fat decreased by 10–15%. In addition, they found that the purchase of butter, margarine, blends and oil decreased by approximately 10%.

Ecuador: Ecuador implemented a volumetric tax of 18 cents per Liter on sugary drinks with more than 25 g of sugar per Liter in 2016. Comparing the tax to a 20% ad-valorem tax, Segovia et al. [42] concluded that the tax imposed by the Ecuadorian government was less effective than the simulated ad-valorem tax.

France: In January 2012, the French soda tax was introduced and set to €0.0716 per liter on the producer price of SSBs. It is applied to all sweetened drinks, including sugar substitutes used in diet drinks, and is paid for by manufacturers, processors and importers [23]. The authors estimated the impact of the French soda tax on both purchases and prices using a difference-in-differences approach. The results indicate that a small reduction in soft drink purchases (approximately half a liter per capita per year) could be due to the low tax rate. Assessing the effect of the same policy, Kurz and König [22] found a slight decrease in SSB sales but an overall increase in soft drink sales. The two studies suggest that the French soda tax had a marginal impact on both purchases and sales.

Hungary: Hungary imposed a 4-cent tax public health product (PHPT) on foods high in salt, sugar, or caffeine in 2011. The objective was to promote healthier eating habits through reformulation and to increase revenues for public health. Assessing the effectiveness of the tax, Zámbó et al. [26] found that the consumption of taxed products increased in all categories (except for salty condiments) between 2013 and 2018. Bíró [25] assessed the effectiveness of the tax on the consumption of processed and unprocessed foods before and after the tax came into effect. The results from the study suggest that the consumption (in terms of quantities) of processed foods decreased by 3.4% due to the tax. Martos et al. [43] also found that the policy reduced the consumption of targeted taxed foods both in the short and long run. Kurz and König [22] assessed and compared the impact of the soda tax implemented in France and Hungary. The authors found a slight decrease in SSB sales after tax implementation, but overall soft drink sales increased in France. For Hungary, there was only a short-term decrease in SSB sales, which disappeared after 2 years, leading to an overall increase in SSB sales. The authors concluded that the tax had a short-term impact in Hungary but had no effect on soft drinks in France.

Ireland: Briggs et al. [44] assessed the potential health impact of a proposed 10% tax on SSBs in Ireland. The authors found that the proposed tax could reduce average energy intake by 2.1 kcal per person per day and reduce the percentage of the obese population by 1.3%.

Mauritius: In January 2013, the government of Mauritius imposed a tax on SSBs based on their sugar content. The tax applied to both locally manufactured and imported drinks was equivalent to 8 US cents per 100 g of sugar content. Cawley et al. [27] assessed the implications of the policy on youth consumption and body mass index using a difference-in-differences model. There was no evidence of an effect of the tax on SSB consumption for the full sample of youth, but subgroup analyses indicated that the tax reduced the probability that boys would consume SSBs by 9.1% points (11%).

Mexico: In 2014, the Mexican government implemented an excise tax of one peso ($0.008) per litre (equivalent to a 10% price increase) on SSBs except for medical beverage products. The tax was implemented by the Mexican Congress as an initiative to limit Mexico’s obesity epidemic. Colchero et al. [45] assessed the impact of the tax on SSB and water purchases across different locations, household types and income levels. Their results suggest that purchases of SSBs decreased by 6.3% in 2014 compared with the trend from 2008 to 2012. Additionally, water purchases increased by 16.2% during the same period. Colchero et al. [31] again estimated how consumers responded to the Mexican beverage tax two years after it was implemented. The results from the study revealed that purchases of taxed beverages decreased by 5.5% in 2014 and 9.7% in 2015 compared to purchases in 2012-13. Colchero et al. [28] assessed the impact of the tax on beverage sales before and after the implementation of the policy. The authors found a decrease of 7.3% in per capita sales of SSB and an increase of 5.2% in per capita sales of plain water in 2014–2015 compared to the pretax period (2007–2013). Ng et al. [30] assessed how highly SSB purchasers responded to the excise tax. The authors found that SSB purchasers had the largest absolute and relative reductions in taxed beverages and increased their purchases of untaxed beverages. Colchero et al. [46] estimated the impact of the tax on purchases of SSBs from retail stores one year after implementation. The results from the study suggest that beverage purchases decreased by 6% in 2014 compared with 2012 at a decreasing rate of up to 12%. Sánchez-Romero et al. [29] assessed the association between SSB tax and soft drink consumption among adults in Mexico using an open cohort longitudinal analysis of health workers. The authors compared four categories of consumers: non, high-, low- and medium-level consumers. The results from the study showed that the proportion of medium and high consumers of soft drinks decreased by 7% after the tax came into effect. In addition, the percentage of non-consumers of soft drinks increased by 4% (from 10 to 14%). Finally, Pedraza et al. [47] studied the effect of the SSB tax on the caloric and sugar content of beverages bought in different stores in Mexico. They found that the volume of SSBs purchased declined by 49 ml and 30 ml in 2014 and 2015, respectively.

The Mexican government also imposed an 8% tax on nonessential energy-dense foods with an energy density of 275 kcal/100 g or more in the same year the SSB tax was implemented. Batis et al. [48] assessed the effect of the tax on both taxed and untaxed packaged foods through an observational study. The results showed that purchases of taxed packaged foods were reduced by 5.1% per person per month. However, purchases of untaxed packaged foods remained the same. Taillie et al. [49] also assessed the impact of the nonessential energy-dense tax two years after its implementation by comparing the impact on high and low purchasers before and after the implementation of the tax. The tax was sustainable; decreases in purchases for taxed foods increased from 4.8% in the first year to 7.4% in the second year. Hernández-F et al. [50] also assessed the effect of the energy-dense tax on the purchases of energy-dense nutrient-poor foods a year after the policy was implemented. The results from the study showed that the purchases of energy-dense nutrient-poor foods decreased by an average of 5.3% in 2014–2016 compared with purchases made in 2008–2012. Focusing on snacks, Aguilera Aburto et al. [51] showed that the Mexican energy-dense tax resulted in a moderate reduction in the consumption of snacks.

Navajo Nation: In 2014, the Navajo Nation passed the Healthy Diné Nation Act (HDNA), which combined a 2% tax on foods of ‘minimal-to-no-nutritional value’ and a waiver of a 5% sales tax on healthy foods. George et al. [52] assessed the implications of the tax on the pricing and availability of unhealthy foods. The authors found that compared to border town stores, in 2019, the availability of fresh vegetables and fruits was greater in convenience stores in Navejo. Trujillo Lalla et al. [53] also assessed the impact of the tax on purchasing trends using a multiyear cross-sectional survey. They found trends towards reduced purchasing of SSBs due to the tax.

Norway: In January 2018, the Norwegian government increased taxes on chocolate and sugar products from 2.09 EUR per kg to 3.82 EUR per kg and taxes on non-alcoholic beverages from 0.35 EUR per litre to 0.49 EUR per litre. Assessing the implications of taxes on retail sales, Øvrebø et al. [54] did not detect any significant reductions in sales that coincided with the increase in taxes.

Pacific: Thow et al. [24] assessed the impact of the soda tax in the Pacific Empire, which consists of Fiji, Samoa, Nauru, and French Polynesia. In Samoa, survey data analysed by Keighley et al., [55] suggest that the number of servings of soda consumed by the Samoan population decreased slightly between 1991 and 2003, from approximately 2.5 to just over two servings per week.

Philippines: Additionally, in January 2018, the Philippines implemented a tax of 0.185 US dollars per litre on beverages containing locally sourced sweeteners and 0.37 US dollars per litre on beverages containing imported sweeteners. Assessments by Onagan et al. [56] showed that sales of sweetened beverages decreased significantly; the greatest decrease was 8.7% in convenience stores just a month after implementation.

Portugal: In February 2017, the Portuguese government implemented a tiered sugar-sweetened beverage tax on producers based on the amount of sugar contained in drinks. The rates are as follows: 1 euro cent per litre for drinks with less than 25 g of sugar per litre; 6 cents for drinks with 25–49.99 g of sugar per litre; 8 cents for drinks with 50–79.99 g of sugar per litre; and 20 cents for drinks with 80 g or more of sugar per litre. The goal was to incentivise firms to reformulate towards lower sugar content. Goncalves et al. [57] reported a significant decrease in the domestic sales of SSBs following the implementation of the policy. Goiana-da-Silva, Nunes, et al. [58] also found a 15% decline in the total volume of sugar consumed from all ranges of beverages covered by the tax. In addition, they estimate a decrease of 4.3% in sales. Goiana-da-Silva, Cruz-e-Silva, et al. [59] estimated a 7% reduction in sales and an 11% reduction in total energy intake from sweetened beverage consumption as a result of reformulation. Goiana-da-Silva et al. [60] reported a reduction of 6.6 million litres of SSBs sold per year due to the tax. In addition, the average energy density of the SSBs decreased by 3.1 kcal/100 ml as a result of product reformulation. In contrast, Gonçalves and Pereira dos Santos [61] found no impact of the consumption tax, except for low-sugar drinks.

Saudi Arabia: Saudi Arabia imposed a 50% excise on soft drinks and a 120% excise on energy drinks, which came into effect in 2017. Alhareky et al. [62] assessed the impact of the tax on SSB consumption among Saudi school children. The authors found that energy drink consumption declined by 8%, but soft drink consumption increased by 2% after tax implementation. However, Alsukait et al. [63] estimated a 35% reduction in the volume sales of soft drinks relative to other Araba Gulf states. Furthermore, Megally and Al-Jawaldeh [64] estimated a 57.64% decrease in the sales volume of soft drinks from 2010 to 2017 following the implementation of the policy.

South Africa: Last, in April 2018, the South African government implemented a health promotion levy (HPL) payable by producers and importers of sugary beverages at a rate of 2.1 cents per gram of total sugar over 4 g per 100 mL. Bercholz et al. [65] estimated a 4.9 gram per capita per day reduction in sugar purchases from SSBs following the announcement of the tax. Another study by Koen et al. [66] revealed that self-reported consumption of SSBs decreased by 7.7% after the HPL was enacted. Finally, Essman et al. [67] assessed the implications of the tax and showed that sugar intake decreased significantly from 28.8 g/capita/day pretax to 19.8 g/capita/day post-tax implementation. In addition, the volume intake decreased from 315 ml/capita/day pretax to 198 ml/capita/day post-tax.

Spain - Catalonia: In May 2017, Catalonia, a state in Spain, implemented a tax of 0.08€ per Liter on beverages containing between 5 and 8 g per 100 ml and 0.12€ per Liter on beverages containing more than 8 g per 100 ml. Assessing the implications of the tax, Fichera et al. [68] found a 2.2% reduction in purchases from beverages. Royo-Bordonada et al. [69] assessed the impact of the tax on young people living in poorer neighbourhoods in Catalonia using Madrid as a control group. The authors found a 39% reduction in the prevalence of regular consumers of taxed beverages. However, the prevalence of consumers of nontaxed beverages remained the same after the tax. Assessing the impact of the tax on SSB sales, Vall Castelló and Lopez Casasnovas [70] estimated a reduction of 7.7%. Focusing on the impact of the tax on Coca-Cola, Puig-Codina et al. [71] found that the policy significantly reduced the volume of purchases (12.1%) and penetration rates (1.27%) of regular cola. However, the volume of purchases and penetration of diet cola increased by 17% and 1.65%, respectively.

Tonga, Oceania: In August 2013, Tonga’s 15% import tariff on SBs was replaced with an excise tax of T$0.50/L (US$0.28/L, 42% of import value) and subsequently doubled to T$1.00/L in July 2016 (63% of import value). The excise is applied to full sugar and artificially sweetened soft drinks, energy drinks, and other SBs. Water (sparkling or flat), juice (sweetened or unsweetened), powdered juice drinks, tea, coffee or hot chocolate were exempted from the tax. Teng et al. [72] assessed the implications of the tax and found significant decreases in all soft drink purchases. Teng et al. [73] also reported that the imports of sweetened beverages decreased by 10.4%, 30.3% and − 62.5% in 2013, 2016 and 2017, respectively, after tax imposition.

Thailand: In September 2017, Thailand also imposed a tax on SSBs according to their sugar content. The SSB products that contain less than 6 g of sugar per 100 mL are exempt from the tax, while those products containing 6 g or more of sugar per 100 mL are taxed at a higher rate. This is expected to increase every two years based on inflation rates. By assessing the impact of the tax policy on both taxed and nontaxed SSBs, Phulkerd et al. [74] found a significant reduction in taxed SSBs compared with nontaxed ones.

Berkeley, USA: In November 2014, the city of Berkeley passed a penny-per-ounce levy on SSBs, which included soda, energy, sports and fruit-flavoured drinks; sweetened water, coffee, and tea; and syrups used in the production of SSBs. Falbe et al. [75] assessed the impact of the tax on sugar-sweetened beverage consumption. The results from the study showed that the consumption of SSBs declined by 21% in Berkley but increased by 4% in Oakland and San Francisco. However, water consumption increased more in Berkley than in Oakland and San Francisco. Silver et al. [76] assessed the implications of the tax on sales and found that sales of SSBs in Berkley declined by 9.6% but increased in controlled cities by 6.9%. The authors did not find a significant difference in self-reported SSB intake before and after tax imposition. The study by Lee et al. [77] was conducted 3 years after the implementation of the Berkley SSB tax. The authors found that SSB consumption was reduced by 0.55 times per day, while water consumption increased by 1.02 times per day. In addition, the changes in SSB and water consumption in Berkley were significantly different from those in the neighbouring city, San Francisco, and Oakland comparison groups.

Cook County, USA: Cook County, Illinois, implemented an SSB tax of a 1.00-cent-per-ounce tax on the retail sale of sweetened beverages on August 2, 2017, and later repealed, effective November 30, 2017. Assessing the changes in beverage prices and volume following the implementation and repeal of the tax, Powell and Leider [78] found that in the 4 months that the Sweetened Beverage Tax was in place, the volume sold decreased while the tax was in place, but the sales volume returned to their pretax levels 8 months after the tax was repealed. Similarly, Powell, Leider, and Léger [79] assessed the impact of the Cook County SSB tax on the volume of SSB sold in the city and its border area. They estimate a 27% reduction in the volume of SSB sold. However, the impact differed between soda and energy drinks, between artificially sweetened beverages and SSBs, and between family-size and individual-size beverages.

Oakland, USA: Cawley et al. (2020) assessed the impact of the Oakland 1 cent per ounce SSB tax on prices, purchases and consumption by adults and children. Although not statistically significant, the tax decreased purchases by 11.33 ounces per shopping trip. However, the tax did not reduce the consumption of SSBs or added sugars for either adults or children. In contrast, Léger and Powell [80] reported that the volume of taxed beverages sold decreased by 14%, but 46% of this decrease was offset by an increase in cross-border purchases.

Seattle, USA: In January 2018, Seattle implemented a 1.75 cent per ounce Sweetened Beverage Tax (SBT) on SSBs with at least 40 calories per 12 ounces; milk, including flavoured/sweetened milk, as well as 100% juice, was exempted from the tax. Powell, Leider, and Oddo [81] evaluated changes in the grams of sugar sold after the implementation of the tax policy using a difference-in-differences analysis. The authors found a 23% (28%) decrease in sugar sold from taxed beverages (soda) from the pretax period to year 1 and year 2 post-tax implementation. Powell and Leider [82] assessed the impact of the tax on prices, volume sold and cross-border shopping. They found that the average volume of taxed beverages sold fell by 22%, 29% for larger families versus 10% for individual families. Oddo, Leider, and Powell [83] compared the sales of sweets and salty snacks in Seattle and Portland and reported that Seattle SBT increased the sales of sweets by 4% and 6%, respectively, a year and two years after implementation. However, there was no impact on the sales of salty snacks. Powell and Leider [84] reported a reduction of 22% in the volume of sugary drinks sold in Seattle following the implementation of the tax.

Philadelphia, USA: In 2017, Philadelphia imposed a beverage tax of $0.015/ounce on sugar (regular) and sugar substitute (diet) beverages. This was an excise tax paid by distributors. However, products containing more than 50% milk and 100% fruit drinks were exempted from the tax. Zhong et al. [85] assessed the immediate impact of the tax on the consumption of soda, fruit drinks, energy drinks, and bottled water. The authors found that the consumption of soda declined by 40% 2 months after the tax came into effect. Similarly, purchases of energy drinks were reduced by 64%, while bottled water purchases increased by 58%. Roberto et al. [86] further assessed the impact of taxes on beverage prices and sales at chain retailers in a large urban setting. They compared beverage prices and sales in Philadelphia with those in Baltimore, Maryland (a control city with a tax). The results showed that the total volume of sales of taxed beverages decreased by 1.3 billion dollars in Philadelphia; however, sales in Pennsylvania borders increased by 308.2 million ounces. A study by Bleich et al. [87] revealed that the purchase of taxed beverages declined by 6.1 fl. oz, corresponding to a 42% decline in Philadelphia compared with Baltimore (a controlled city). Edmondson et al. [88] also assessed the implications of tax SSBs among high school students. They found a reduction of 0.81 servings of soda per week 2 years after tax implementation. Longitudinal studies by Lawman et al. [89] did not find statistically significant changes in SSB purchases one year after the implementation of the Philadelphia beverage tax. However, an analysis excluding holiday purchasing or aggregating post-tax time revealed a reduction of between 4.9 and 12.5 ounces per day. Zhong et al. [90] assessed the effect of the tax on sugar-sweetened and diet beverage consumption and concluded that there was no overall impact on population-level consumption of sugar-sweetened or diet beverages or bottled water a year after the tax was implemented. Petimar et al. [91] found that the volume of sales of taxed beverages decreased by 35% (after adjusting for cross-border shopping) two years after the implementation of the tax. Bleich et al. [92] found larger declines in the volume of taxed beverages sold (5.76 ounces, or 38.9%) after tax implementation. After accounting for cross-border shopping to shops outside of Philadelphia, Seiler, Tuchman, and Yao [93] concluded that the tax led to a 22% reduction in sales. Additionally, Seiler, Tuchman, and Yao [93], analysed the impact of the Philadelphia SSB tax on calories and found that calories from beverages decreased by 16% after the implementation of the tax. According to Cawley et al. [94], the Philadelphia tax reduced the frequency of adults’ soda consumption by 31%, but no detectable impacts on children’s soda consumption were found. Grummon et al. [95] found a reduction in the purchases of taxed beverages following the implementation of the tax.

Theme 2: Impact of taxes on prices/pass-through effect

A summary of the impact of tax policies on the prices of taxed beverages and pass-through effects is shown in Table 3. In summary, tax polices result in higher prices paid for by consumers at retail shops. However, the proportion of the tax paid for by consumers differs by jurisdiction, type of product, type of retail shop, etc.

Table 3 Summary of the effect of tax policies on price changes and the tax pass-through rate

United Kingdom: Scarborough et al. [32] estimated a price increase of £0.075 per litre for high-level drinks, corresponding to a 31% pass-through rate. The price of low-intensity drinks decreased marginally, while that of no-intensity drinks increased marginally. Dickson et al. [34] found that the SDIL was over shifted to soft drink brands that maintained their recipes, leading to a significant increase in their retail prices.

Barbados: Alvarado et al. [96] assessed price changes in SSBs following the implementation of the government’s 10% ad valorem tax. The SSB prices from a major supermarket in Barbados were used for the case study. The authors found that before the tax, both SSBs and non-SSBs had similar year-on-year price growth. However, the growth in SSB prices reached 5.9%, while non-SSB prices grew below 1% after the tax came into effect.

Bermuda: Segal et al. [40] estimated a price increase of 26% for taxed SSB but no impact on the prices of untaxed beverages. In addition, the subsidy policy had no significant impact on the prices of fruits and vegetables sold in the country.

Chile: In Chile, Caro et al. [17] reported that the price of SSBs with a high sugar content increased by 2.0%, while the price of SSBs with a sugar content less than 6.25 g/100 mL decreased by 6.7%. Nakamura et al. [18] found that the purchase prices of soft drinks decreased for items for which the tax rate was reduced from 13 to 10%, but they remained unchanged for sugary items for which the tax was increased. However, they suggest that the purchase prices of SSBs increased when the tax revision was announced. Cuadrado et al. [97] assessed the impact of the tax revision on the affordability of soft drinks and concluded that the policy was effective in increasing prices.

Denmark: Jensen et al. [21] concluded that the Danish fat tax had an insignificant or small negative effect on low- and medium-fat varieties but led to a 13–16% price increase for high-fat varieties of minced beef and cream products. Jensen and Smed [41] assessed the impact of the same policy on butter (8.17–11.38 DKK/kg higher) and margarine (4.57–6.18 DKK/kg higher) and concluded that prices were higher than in the pretax period.

France: Berardi et al. [103] assessed the impact of the French soda tax on prices using French microdata. The authors concluded that the SSB tax was fully shifted to soda and almost fully shifted to the price of fruit drinks six months after implementation. However, the authors found that the pass-through for flavoured water was incomplete. Etilé, Lecocq, and Boizot-Szantai [98] also assessed the impact of French soda taxes on consumer prices and welfare. They showed that the pass-through effect of the policy was approximately 39%, less than that estimated by Berardi et al. [103]. As a result, the prices of SSBs and NCSBs increased by 4% after the tax came into effect. Capacci et al. [23] assessed the impact of the French soda tax and confirmed the findings of Berardi et al. [103], showing that the tax was transmitted to the prices of taxed drinks, with full transmission for soft drinks.

Mexico: Arantxa Colchero et al. [104] assessed the impact of the Mexican excise tax on the prices of SSBs in urban areas. A fixed effect model was applied to data obtained from the National Institute of Statistics and Geography from 2011 to 2014. They found that the tax was passed through to all SSBs and was over shifted for carbonated SSBs. However, the increase in the price of SSBs with small package sizes was greater and differed by region.

Assessing the association between the Mexican tax on nonessential high-calorie foods and consumer prices, Gračner, Kapinos, and Gertler [102] found that the average price of energy-dense food in Mexico increased by 4.8% immediately after the tax came into effect. In addition, price increases were greater in supermarkets than in mini-markets and convenience stores. Grogger [99] also found similar evidence indicating that the price of soda rose by more than the amount of the tax. Aguilera Aburto et al. [51] studied how the prices of snacks changed after the Mexico food and beverage tax by estimating the potential impact of the price increase on the consumption of snacks. Their results indicated that the snack industry transferred all the tax to the prices of snacks. Salgado and Ng [101] found evidence that suggested that price changes might be the result of an increasing price trend rather than tax implementation. In addition, their firm-level analyses mostly showed that price increases by leading firms were greater than the overall increase at the food market level.

Navajo: George et al. [52] reported that the average cost per item of fresh fruit decreased by 13% in Navajo stores but increased by 16% in border stores.

Pacific: Thow et al. [24] reviewed the effectiveness of taxing soft drinks in the Pacific, specifically Fiji, Samoa, Nauru, and French Polynesia. The authors found that, in Fiji, casual monitoring of prices by the Ministry of Health staff suggested that the price of a 2-liter bottle of branded soft drink increased by 10 cents over the first half of 2006 (consistent with a 5-cents/Liter tax increase) from FJ$1.70 to 1.80.

Philippines: Onagan et al. [56] found that the implementation of the sugar-sweetened beverage tax led to a 20.6% and 16.6% increase in the price of sweetened beverages in convenience stores and supermarkets, respectively, a month after the tax came into effect.

Portugal: Gonçalves and Pereira dos Santos [61] reported a full-price pass-through for taxed beverages containing more than 80 g per Liter of sugar and more than a 100% price pass-through for beverages containing less than 80 g per Liter of sugar.

Saudi Arabia and South Africa: Alsukait et al. [63] estimated a pass-through rate of 110% for carbonated drinks after the implementation of the Saudi Arabia SSB tax. Stacey et al. [105] estimated that the price of carbonated drinks increased by 1.006 ZAR/litre following the introduction of the South African SSB tax.

Berkley, USA: Silver et al. [76] assessed the implications of the Berkley beverage tax one year after it came into effect. The results of the study suggested that supermarkets (both large and small) and gas stations had a 100% tax pass-through; pharmacies had a partial tax pass-through, while corner stores and independent gas stations had a negative tax pass-through. Falbe et al. [106] assessed the short-term (3 months after the tax) ability of the Berkely SSB tax to increase retail prices. They found that for smaller beverages (≤ 33.8 oz), the price increases in Berkeley relative to those in comparison cities were 0.47–0.68 cents/oz. For 2-L bottles and multipacks of soda, the relative price increases were 0.46 and 0.49, respectively. However, the prices of nontaxed drinks remained the same. Cawley and Frisvold [107] also assessed the pass-through of the Berkley SSB tax using a difference-in-differences model. They found that across all brands and sizes of products examined, 43.1% of the tax was passed on to consumers.

Boulder, USA: In July 2017, Boulder, Colorado, implemented a two-cents per ounce excise tax on the distribution of beverages with added sugar and other sweeteners. Cawley et al. [108] assessed the pass-through rate of the tax and found that consumers bear most but not all the tax; in both the hand-collected store data and restaurant data, the pass-through was slightly less than 75%, whereas the pass-through was just over 50% using scanner data.

Cook County, USA: Powell and Leider [78] found that prices increased by 1.13 cents per fluid ounce during the 4 months that the Cook County sugar-sweetened beverage tax was implemented. Another study by Powell, Leider, and Léger [109] showed that the tax had a pass-through of 119%, increasing the average price of SSBs by 34%. However, the price increase ranged from a 52% increase for family-size soda to a 10% increase for family-size energy drinks.

Oakland, USA: Marinello, Pipito, et al. [110] used a difference-in-differences analysis to evaluate the effect of the Oakland 1-cent/ounce sugar-sweetened beverage tax on the prices of beverages sold in fast-food restaurants two years after the tax was implemented. The authors found that the price of bottled regular soda increased by 1·44 cents/oz (tax pass-through rate of 144%), and the price of bottled diet soda increased by 1·17 cents/oz. Cawley et al. [111] assessed the impact of the Oakland SSB tax on prices, purchases and consumption by adults and children. They concluded that approximately 60% of the tax was passed on to consumers. Assessing the pass-through effect of the tax two years after its implementation, Leider, Li, and Powell [112] found that taxed beverage prices increased by 0.73 cents/ounce on average in supermarkets and grocery stores in Oakland relative to comparison sites and 0.74 cents/ounce in pharmacies but did not change in convenience stores. Marinello et al. [113] found that the Oakland SSB tax had an 82% pass-through a year after its implementation. They also showed that both diet and regular soda had similar price changes, even though they were not significant.

Seattle, USA: Powell and Leider [82] assessing the impact of the Seattle SBT showed that the prices of taxed beverages increased by 1.04 cents per ounce (59% tax pass-through rate). However, Jones-Smith et al. [114] reported an average increase of 1.58 cents per ounce among Seattle retailers, a pass-through rate of 58–104%. The price increases were greatest for smaller grocery stores and drug stores. Another study by Powell and Leider [84] found a much lower price increase of 1.03 cents per ounce corresponding to a 59% pass-through rate.

Philadelphia, USA: Roberto et al. [86] assessed the impact of the Philadelphia beverage tax on beverage prices and sales in Philadelphia and Baltimore, Maryland (a control city without a tax). The authors found a significant increase in prices: 0.65 cents per ounce at supermarkets, 0.87 cents per ounce at mass merchandise stores, and 1.56 cents per ounce at pharmacies. Bleich et al. [87] found that the Philadelphia beverage tax increased taxed beverage prices by 2.06 cents per ounce, corresponding to a 137% pass-through rate two years after implementation. Cawley, Willage, and Frisvold [115] assessed the pass-through of the tax at the airport and found that prices had increased by 0.83 cents per ounce more in tax than untaxed stores, corresponding to a pass-through of 55.3%. A study by Petimar et al. [91] revealed that taxed beverage prices increased by 1.02 cents per ounce two years after the policy came into effect. Bleich et al. [92] found a much greater impact of the tax, with a 1.81 cents per ounce or a 120.4% increase in prices after the tax was implemented. However, Seiler et al. [93] found that the tax led to only a 34% price increase, corresponding to a 97% pass-through. Cawley et al. [116] found that, on average, distributors and retailers fully passed the Philadelphia SSB tax to consumers. However, the pass-through rate varied by store type, neighbourhood, and proximity to untaxed stores.

Theme 3: Implication of taxes for health

Table 4 shows a summary of the results discussed in this section. Most of the studies are based on simulating the health implications of implemented government policies. The results conclusively revealed a significant impact of tax policies on improving population health, reducing obesity and related diseases, increasing the number of lives saved, and reducing NCD such as diabetes, ischaemic heart disease and stroke.

Table 4 Summary of studies analysing the impact of tax policies on population health

Rogers et al. [122] assessed the impact of the SDIL on obesity in the United Kingdom and reported that there was a reduction in obesity among 6-year-old girls, with the greatest differences in those living in deprived areas. No significant changes were found for boys. Rogers et al. [123] estimated a relative reduction of 12.1% in hospital admissions for carious tooth extractions in all children (0–18 years) following the implementation of the levy.

Denmark: Smed et al. [19] found that the fat tax imposed on saturated fat saved 123 lives annually, 76 of which were less than 75 years old, equivalent to 0.4% of all deaths from NCD. In general, the tax had a more positive impact on men than women. Bødker et al. [20] also examined the effects of fat tax on the risk of ischemic heart disease (IHD) using retail outlet data on 12 foodstuffs targeted by the tax. The results from the study were inconclusive, suggesting an increase in the population risk of IHD of 0.2%, and the other estimate suggested that the risk of IHD decreased by 0.3%.

Mauritius: Cawley et al. [27] found that the Mauritius SSB tax had no effect on BMI for the full sample of youth considered in their data. However, BMI among male youth was reduced by 11% after the tax was implemented.

Mexico: Using published data on the reductions in beverage purchases due to the Mexican SSB tax, Barrientos-Gutierrez et al. [124] modelled the expected long-term impacts on body mass index (BMI), obesity, and diabetes. Their results showed an average BMI reduction of 0.15 kg/m2 per person, which translates to a 2.54% reduction in obesity incidence. People with the lowest socioeconomic status and those between 20 and 35 years of age had the greatest reductions in BMI and in the prevalence of overweight and obesity. Basto-Abreu et al. [118] assessed the cost-effectiveness of the SSB excise tax in Mexico. The results from their study suggest that the current tax is projected to prevent 239,900 cases of obesity, 39% of which are among children. It could also prevent 61,340 cases of diabetes, lead to gains of 55,300 quality-adjusted life-years, and avert 5,840 disability-adjusted life-years. Grogger [99] concluded that soda price increases could lead to a 2- to 3-point reduction in mean weight, which amounts to approximately 1–2% of the mean body mass. Hernández-F, Cantoral, and Colchero [119] studied the effect of the Mexican food and beverage tax on dental health in Mexico. The authors showed that taxes were associated with a lower probability of having dental caries and with a lower number of teeth with caries experience in the samples studied.

Philippines: Saxena, Koon, et al. [120] modelled the impact of the Philippine’s sweetened beverage tax and reported that the tax could avert an estimated 5,913 deaths related to diabetes, 10,339 deaths from ischaemic heart disease and 7,950 deaths from stroke over 20 years.

Thailand: Urwannachotima et al. [121] assessed the impact of the sugar-sweetened beverage tax on dental caries and concluded that the policy could reduce dental caries in the country by only 1% by 2040.

South Africa: Assessing the impact of the South African HPL on health, Saxena, Stacey, et al. [125] estimated a reduction of 8,000 Type 2 Diabetes Mellitus (T2DM)-related premature deaths over 20 years, with most deaths averted among the third and fourth income quintiles.

Portugal: Goiana-da-Silva et al. [60] estimated that the sugar-sweetened beverage tax prevented 40–78 obese patients per year between 2016 and 2018. Goiana-da-Silva, Cruz-e-Silva, et al. [59] concluded that the decline in sales and SSB consumption due to the tax could translate into 1,600 fewer obese people or delay 27 deaths directly related to excessive sugar consumption in Portugal every year.

Theme 4: Implications for nontargeted foods

Eleven studies across nine jurisdictions were found to address the impact of taxation on nontargeted foods (See Table 5). The authors found that increasing taxes on unhealthy foods could drive up the consumption of vegetables and water, increase the sales of untaxed food products, and increase the prices of untaxed beverages, juices, etc. It is evident that tax policies have the potential to redistribute consumption towards healthier food options while reducing purchases of unhealthy foods.

Table 5 Summary of studies on the impact of taxes on nontargeted foods

United Kingdom: Chu et al. [126] reported that children’s and lunchbox beverages, though exempted from the SDIL, had higher sugar contents than recommended after the levy implementation.

Denmark: According to Smed et al. [19], the Danish fat tax increased the consumption/purchases of vegetables as well as salt.

France: According to Capacci et al. [23], the 2012 French soda tax did not have any significant impact on the demand for nontargeted foods such as fruit juices and water.

Navajo, USA: Trujillo Lalla et al. [53] reported that the Navajo tax on unhealthy foods and beverages resulted in increased demand for water. Specifically, shoppers in 2019 were 1.5 times more likely to purchase water than were those in 2017.

Berkley, USA: Silver et al. [76] assessed the implications of the Berkley beverage tax one year after it came into effect. They found that the sales of untaxed beverages in Berkley increased. Falbe et al. [75] found that water consumption increased more in Berkley than in the neighbouring untaxed cities of Oakland and San Francisco. A study by Lee et al. [77] concluded that water consumption increased by 1.02 times per day 3 years after implementation.

Cook County, USA: Powell et al. [79] found that the Cook County SSB tax had no significant effect on the volume of untaxed beverages sold in the city or its border area. Marinello et al. [110] reported similar price increases for both taxed and untaxed bottled soda in fast-food restaurants. Leider et al. [112] reported that the price of untaxed beverages increased by 0.40 cents/ounce in pharmacies following the implementation of the tax. However, the price remained unchanged for the other store types.

Seattle, USA: Powell et al. [127] found no change in the sales of untaxed beverages two years after the Seatle SSB tax was implemented. Assessing the implications of the Seattle tax for alcoholic beverages, Powell and Leider [128] reported that the overall volume of alcohol (both beer and wine) sold increased by 4% a year after the tax came into effect and by 5% two years after the tax was implemented. Powell and Leider [84] reported that Seattle SBT had a moderate impact on untaxed beverages, resulting in a 4% increase in volume sold.

Philadelphia, USA: Zhong et al. [85] found a positive impact of the tax on the consumption of bottled water; purchases increased by 58%. However, Bleich et al. (2021b) did not find significant changes in the purchases of nontaxed beverages in Philadelphia. Among high school students, Edmondson et al. [88] found that the tax shifted purchases towards more juice than those in nontaxed cities. Gibson [129] found no evidence of an increase in snacks or spirits following the Philadelphia tax, but there was evidence of substitution for beverage concentrates in supermarkets. Petimar et al. [91] reported that the Philadelphia SSB tax resulted in a 34% increase in the volume of nontaxed beverage concentrates sold; however, there was no evidence of substitution for high-calorie foods. Seiler et al. [93] did not find any significant substitution for bottled water, but there was a modest substitution for untaxed natural juices. Cawley et al. [116], on the other hand, reported that the Philadelphia tax increased the availability of untaxed beverages, particularly bottled water, in Philadelphia stores. Cawley et al. [94] compared the impact of the tax on beverage consumption by children and adults and found that there was no impact on the consumption of other untaxed beverages. Lozano-Rojas and Carlin [130] found that the imposition of the Philadelphia SSB tax increased sugar purchases by 4.3% and 3.7% in neighbouring cities, indicating substitution for other sugary foods. Grummon [95] found that the Philadelphia tax had no impact on other high-calorie/high-sugar nontaxed foods, beverages, or alcohol.

Tonga: Teng et al. [72] and Teng et al. [73] reported a significant increase in bottled water purchases following the implementation of the Tonga sweetened beverage tax.

Spain: Fichera et al. [68] found a very small impact of the Catalonia SSB tax on nontaxed beverages.

South Africa: Stacey et al. [105] showed that the SSB tax had no impact on the prices of nontaxed beverages in South Africa.

Theme 5: Implications for economic welfare

Seven studies across six jurisdictions were found to assess the impact of taxes on the economic welfare of consumers (see Table 6).

Table 6 Summary of studies on the impact of tax policies on economic welfare/distributional effects

United Kingdom: A study by Fage [131] concluded that SDIL resulted in nontrivial economic welfare loss, especially among low-income households.

France: Etilé et al. [98]assessing the economic welfare of the French soda taxon, found that the impact of the tax was greater for low-income and high-consuming households.

Hungary: Bíró [25] also assessed the implications of the junk food tax on consumer welfare and found that lower-income households were more affected by the tax.

Mexico: Colcheroet al. [45] found that the Mexican SSB tax had differential impacts on different demographic factors, with greater reductions in SSB purchases for lower-income households, households living in urban areas and households with children. Rivera-Dommarco et al. [31] also confirmed that the Mexican SSB tax affected lower-income households more than all other income groups. In addition, Colchero et al. [46] estimated the impact of the SSB excise tax on purchases of SSBs from stores one year after its implementation and found that lower-income households reduced their purchases more than middle- and higher-income households. Batis et al. [48] also found that the Mexican nonessential energy-dense tax had a greater impact on lower-income households than on higher-income households. Similarly, Hernández et al. [50] found that urban and lower-income households and households with children were more financially affected by the tax on nonessential energy-dense foods. In contrast, Sánchez-Romero et al. [29] did not find any significant variation in the impact of the SSB tax across income levels and consumers based on their educational backgrounds.

Tonga: Teng et al. [72] found that the sweetened-beverage tax had a greater financial impact on low-income than on high-income households in terms of purchase prevalence.

Thailand: Phulkerd et al. [74] showed that the SSB tax in Thailand had a greater impact on males, lower-income populations, older persons and unemployed individuals. Finally, in South Africa, Bercholz et al. [65] showed that the South African SSB tax was more regressive in lower socioeconomic status households.

Theme 6: Implications for marketing

Table 7 shows the implications of the tax policies for marketing. One study in one jurisdiction analysed the implications of food and beverage taxes for retail marketing. The authors concluded that taxes have a negative impact on retail marketing practices. Oakland: Zenk et al. [132] examined the impact of the Oakland tax on in-store marketing practices—advertising and price promotions. They found that the odds of SSB price promotions fell by 50% in Oakland but only 22% in Sacramento. In addition, price promotions for regular soda declined by 47% at 6 months and 39% at 12 months in Oakland (versus no change in Sacramento). Similarly, the price of artificially sweetened beverages decreased by 55% after 6 months and 53% after 12 months. However, the tax did not affect the advertising of sugar-sweetened or artificially sweetened beverages. Surprisingly, Zenk et al. [133] did not find any long-term (2 years) pre-post impact of the tax on in-store marketing practices—price promotions, exterior or interior advertising, or sale depth—for SSBs and untaxed beverages.

Table 7 Summary of studies on other impacts of implemented tax policies

Theme 7: Other impacts

The final scope of the review includes strands of studies that do not fall under themes 1–6. Table 8 shows that these strands of studies assessed the impact of employment in the SSB industry on Supplemental Nutrition Assistance Program Users, stockpiling behaviour, cross-border shopping, government savings and expenditures as well as store type.

Table 8 Summary of studies assessing the effectiveness of existing subsidy policies

Pedraza et al. [144] found that taxes may have differential effects on different store types; consumers choose different stores to purchase beverages than to purchase foods.

Léger and Powell [80] found cross-border shopping following the implementation of the Oakland SSB tax. However, Powell and Leider [84] found no cross-border shopping associated with Seattle’s sweetened beverage tax.

Marinello et al. [134] assessed the implications of the San Francisco tax on employment and concluded that the tax had no negative impact on net employment, employment in the private sector, or employment in specific SSB-related industries. Marinello et al. [136] also assessed the impact of the Philadelphia beverage tax on employment using synthetic control analysis. The authors found that the city’s employment count was not lower than its synthetic control, indicating that the tax had no impact on employment.

Assessing the Philadelphia SSB tax on the Supplemental Nutrition Assistance Program (SNAP) run by the government, Chrisinger [135] found that the tax contributed to increased SNAP shopping in Philadelphia’s neighbouring counties but decreased spending in Philadelphia.

Gonçalves and Pereira dos Santos [61] found stockpiling by consumers before the implementation of the Portuguese soda tax in 2017. A similar situation occurred in the UK before the implementation of soft drink industry levy. In addition, producers reduce the sugar content of several drinks to pay a lower tax [145].

Saxena et al. [120] found that the Philippine sugar tax could generate total healthcare savings of 627 million United States dollars over 20 years and increase revenue by US$ 813 million annually. Another study by Saxena et al. [125] estimated that the South African government would save US$140 million in subsidised healthcare over 20 years and would raise US$450 million in tax revenues per annum. In Nauru, Thow et al. [24] showed that the government was able to raise approximately US$200,000 because of the tax. In French Polynesia, the total annual revenue increase was US$10 million from domestic production and US$4.2 million from import taxes [24].

Food subsidy programs

The USA

Baronberg et al. [141] assessed the impact of New York City’s Health Bucks Program on EBS at farmers’ markets. In an attempt to increase the accessibility and reduce the cost of fresh produce, health bucks were introduced in 2005 by the New York City Department of Health and Mental Hygiene (DOGHMH). This was a coupon distribution program providing financial incentives for low-income New Yorkers to buy at farmers’ markets in the city’s highest poverty areas. The health bucks were distributed to residents by community-based organisations and could be used at any of the participating markets during the annual growing season (i.e., July 1–November 15). The recipients were SNAP participants who received 2 dollars for every 5 dollars spent using SNAP benefits in participating farmers’ markets. The authors found that farmers’ markets that offered health buck coupons to SNAP recipients had higher average daily EBT sales than markets without incentives. They concluded that implementing the program in other urban areas among low-income shoppers could increase healthful food access and affordability in low-income neighbourhoods.

Young et al. [140] assessed the impact of the Philly Food Bucks program on increasing fruit and vegetable consumption in Philadelphia, USA. From 2010 to 2011, the Food Trust, in collaboration with the Philadelphia Department of Public Health, funded Get Philly to give 2 dollars bonus incentives for every 5 dollars in SNAP that could be redeemed from farmers’ markets only for fresh fruits and vegetables. The goals of the initiative were (1) to increase fruit and vegetable consumption among low-income communities, (2) to increase purchasing power for fruits and vegetables, and (3) to increase the use of SNAP at farmers’ markets. Similar to the program in New York, the coupons were distributed by community-based organisations that served SNAP-eligible populations to promote farmers’ market access among low-income residents. Additionally, the coupons could be redeemed by making a SNAP purchase. The study relied on a convenience sample of 662 customers at 22 farmers’ markets in low-income neighbourhoods in Philadelphia using face-to-face interviews. Their results showed that compared with nonusers, individuals who use food bucks were significantly more likely to report increasing fruit and vegetable consumption. In addition, SNAP sales increased for participating farmers’ markets in low-income communities.

Gleason et al. [139] assessed the impact of the revised WIC Food Package on Small WIC Vendors in four US states. In an attempt to promote healthy diets and reduce childhood obesity epidemics among children and their families in the USA, the Federal Government implemented nutrition programs such as the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). Participation in the WIC program is limited to low-income pregnant, postpartum, and breastfeeding women and infants and children under the age of 5 years. The impact assessment was based on data collected from WIC-authorised vendors gathered from agencies before and after the package changes were introduced. The authors analysed store inventory data to assess the overall availability of the new WIC foods following the implementation of the new food packages, changes in food availability over time, and how the availability of foods and food categories differed over time by store size and by state. The study revealed that the majority of WIC stores were able to maintain their authorisation status. Additionally, small WIC stores added healthy foods to their inventory in response to the changes in the WIC food package. In addition, the majority of the stores made changes to their registers to meet the new WIC food package requirements. The authors concluded that the implementation of the WIC food package program was generally successful.

In 2016, Lu et al. [138] built on the work of [139] by evaluating the influence of the Revised Special Supplemental Nutrition Program for Women, Infants and Children (WIC) on food allocation packages on healthy food availability, accessibility, and affordability in WIC authorised grocery stores in Texas (a state not included in the Gleason et al. study). They went further to show how the impact of the policy differs among different stores and locations (urban vs. rural). As explained previously, the Special Nutrition Program for Women, Infants, and Children (WIC) was implemented to improve the health of pregnant women and children with low socioeconomic status. The study sampled 105 stores across Texas, and data were collected before and after the implementation of the program. The authors used paired sample t tests to assess the differences before and after the policy implementation. The results from the evaluation study suggest that the availability of most healthy food options (i.e., fruits, vegetables, cereals, and a variety of vegetables) increased in terms of shelf space. The visibility of WIC program labelling increased for fruits, cereals and whole-grain or whole-wheat bread. In general, healthy food availability and visibility increased for stores of different types and in different locations. However, the affordability of healthy foods did not improve in WIC-authorised stores in Texas.

Canada

Galloway et al. [146] evaluated the performance of the Nutrition North Canada retail subsidy to ascertain whether it was meeting its goal of making nutritious and perishable food more accessible and affordable in northern counties. Nutrition North Canada was launched by the Aboriginal Affairs and Northern Development Canada (AANDC) in 2011 to offset the cost of transporting perishable foods to northern counties that do not have road access all year round. The program replaced the older Food Mail program, which has offered flight subsidies through Canada Post Corporation since the 1960s. The current program is a federal retail subsidy designed to make nutritious, perishable food more widely available and affordable in northern communities. The author found that there is little evidence to show that the program met its goal of improving the availability of nutritious food. Specifically, the fiscal reporting and food costing tools used by the program were insufficiently detailed to evaluate the accuracy of community subsidy rates and the degree to which retailers are passing on the subsidy to consumers.

In 2017, Galloway [137] performed another comprehensive assessment of the Nutrition North Canada retail subsidy. The assessment was based on program documents, including fiscal and food cost reports for the period 2011 to 2015, retailer compliance reports, audits of the program, and the program performance measurement strategy. The author found that the program lacked a price cap to ensure that food is affordable and equitably priced in communities. In addition, it was difficult to account for the program due to gaps in food cost reporting. The author concluded that the existing structure and regulations of the NNC are not sufficient to ensure that the program meets its goal.

The Mexican government has implemented a subsidy scheme since the mid-1960s. The government has implemented subsidy programs for staple foods usually consumed by poor households. These include maize, wheat, beans, cooking oil, oilseed, rice, sorghum, soybeans and sugar. In principle, the government purchases these foods at the domestic or international market at the prevailing price and then sells them to the processor or packager or directly at a lower price, excluding the distribution and storage cost to consumers. The price consumers pay is set by the Ministry of Commerce. In addition, the government also intervenes in the wholesale and retail of basic foodstuffs. The government’s distribution network reduces the wholesale cost of participating government retail stores and small private shops. Most participating shops are located in low-income urban neighbourhoods. The prices consumers pay in government-run retail shops are estimated to be 10–12% lower than those in nonparticipating stores.

UK

The Healthy Start program was introduced in 2006, providing vouchers to pregnant women and families with children younger than 4 years of age who receive certain benefits. Beneficiaries are allowed to exchange vouchers for fruit and vegetables, milk or infant milk. Eligible persons are sent a Healthy Start card containing money for use in retail shops. The card can be used to purchase plain liquid cow’s milk; fresh, frozen, and tinned fruit and vegetables; fresh, dried, and tinned pulses; and infant formula milk. Scantlebury et al. [147] assessed the impact of the Healthy Start program on fruit and vegetable intake among beneficiaries. The authors relied on repeated cross-sectional data from the Healthy Survey for England. Outcomes were compared across the four groups over four time periods: 2001–2003, 2004–2006, 2007–2009 and 2010–2014. This study revealed that during the period from 2001 to 2003 to 2010–2014, fruit and vegetable consumption among adults and children in households deemed eligible for HS changed similarly to that of other adults and children. The authors explained that vouchers might have been spent on other foodstuffs, i.e., milk or infant formula, instead of fruit and vegetables.

Mexico

The Mexican tortilla program started in the mid-1960s. The government purchases maize at a given price and sells it to mills at a lower price. The government also absorbs all the distribution and storage costs. The final price of the product, i.e., tortillas, maize flour and maize dough, is set by the government. Assessing the nutritional and economic impact of the tortilla subsidy program, Shamah Levy et al. [143] found that tortilla consumption represented 45% of total household food expenditure and that the subsidy program reduced it to 9%. In addition, the authors found that communities engaged in the program had a lower malnutrition index than those outside of the program.

Australia

A fruit and vegetable subsidy program was instituted by the Bulgarr Ngaru Medical Aboriginal Corporation for the Aboriginal Communities in Rural Towns in the Clarence Valley in New South Wales, Australia, in 2005. The beneficiaries paid approximately 5 dollars for a box containing 40 dollars of fruits and vegetables. Low-income households with one or more young children were invited to participate in the program. Black et al. [142] assessed the nutritional impact of the subsidy program and revealed that fruit and vegetable intake increased; β-cryptoxanthin, vitamin C, and lutein–zeaxanthin levels increased significantly after 12 months of participation in the program.

Discussion

The present study reviewed 127 papers assessing the impact of existing fiscal policies (taxes and subsidies) across the globe on consumer behaviour and the food environment. The studies included in this review were from Europe, Africa, Asia, and South and North America. The results from the various studies were grouped into 7 themes for taxes and 1 theme for subsidies. The themes include the impact of fiscal policies on consumption, purchases, and sales; targeted and nontargeted foods; consumer economic welfare; prices of nontargeted foods; and retail marketing strategies. The studies considered for this review consider different types of taxes and subsidies applied to different types of foods high in fat, sugar and salt. The focus of most fiscal policies is on SSBs or sweetened beverages, foods that are energy-dense and fruits and vegetables. Approximately 39% of the studies are from the United States (comprising states such as Philadelphia, New York, Oakland, San Francisco, Seattle, Navajo, Cook County and Boulder), 16% are from Mexico, 13 are from the United Kingdom, and 4% are from each of the following countries: Chile, Portugal, South Africa, Denmark, France, Hungary, and Spain. Fewer than 4% of the remaining countries evaluated the impact of fiscal measures implemented.

The degree to which fiscal policies can achieve their desired impact is a function of the tax rate and the tax pass-through rate [70]. Most studies suggest a tax rate of 20% and above to achieve significant changes in consumer behaviour. The present review shows two findings: government taxes on SSBs and energy-dense foods are usually less than a 20% price increase, and not all taxes are transmitted to consumers. A lower pass-through rate is usually due to reformulation by firms and the absorption of a significant amount of taxes by manufacturers and retailers to maintain their market shares. Price increases and pass-through rates are different for different countries and even different studies within the same country. For instance, in Philadelphia, Bleich et al. [92] reported a 120% price increase due to the beverage tax; however, Seiler et al. reported a 34% price increase, approximately four times lower than the former. Similarly, in France, Capacci et al. [23]found a full-price pass-through, while Etilé et al. [98] found a 34% price pass-through of the same policy. Silver et al. [76] also showed that a tax policy in one country could have different pass-through rates for different types of stores or shops. This indicates that tax policies are asymmetrically transmitted from point of application to consumers. Despite the profound variations in the results across different jurisdictions, the impact of the policies on prices was positive and significant.

The majority of the studies in this review were centred on Theme 1, the implications of tax policies for consumption, purchases, and sales. A total of 72 studies out of the 126 studies were grouped under this theme. Five out of the 72 studies did not find any impact of the policy on sales, purchases or consumption. However, the majority of the studies found a significant impact of tax policies on the consumption, sales, and purchases of consumers. For instance, studies assessing the implications of the Danish fat tax found that saturated fat purchases fell. A similar result was obtained for Mexico following the implementation of the one peso per Liter excise tax on sweetened beverages. In Chile, although the impact of the policy was found to be small, observable reductions in purchases were confirmed.

The results for the implications of taxes on sales are mixed. Øvrebø et al. [54] and Gibson et al. [129], assessing the implications of government policies for Norway and Philadelphia, found no significant impact on the targeted foods. However, studies from France, Mexico, Hungary, Portugal, Spain, Saudi Arabia, and Berkley (USA) found significant reductions in sales. For instance, Colchero et al. [148] found that SSB sales in Mexico declined by 7.3% per capita sales. In the Philippines, Claire et al. [56] estimated an 8.7% decrease in convenience stores. Castelló and Casasnovas [70] estimated a 7.7% decrease in SSB sales due to the tax. The largest decrease in sales volume was for Saudi Arabia, at 57% from 2010 to 2017. Finally, Goiana-da-Silva, Cruz-e-Silva, et al. [58] estimated a 7% reduction in sales due to the Portuguese sweetened beverage tax. These results show that SSB taxes have a significant impact on retail sales. Studies finding that the positive impact of the tax outweighs those that did not find any impact of taxes and cuts across different jurisdictions.

Various studies have shown that households with lower incomes rely on less nutritious and energy-dense foods for their daily caloric intake [149, 150]. This is evident not only in Scotland but also across different countries and continents. As a result, lower socioeconomic groups suffer financially when fiscal policies are implemented by governments. The results from studies by Etilé F et al. [98], Bíró [25], Colchero MA et al. [31], Batis et al. [151], Teng et al. [72], and Phulkerd et al. [74] confirmed that socioeconomically disadvantaged groups were highly negatively impacted by the tax policies implemented by governments in France, Hungary, Mexico, Tonga and Thailand. In addition, residents, in urban areas, households with children, underemployed individuals, males and older persons or populations are likely to suffer more from tax policies than all other demographic groups. The reason is that these groups derive most of their energy intake from food products imposed with the tax.

Eleven studies assessed the impact of government policies on consumers’ health and nutrition. The evaluation studies were from Denmark (2), Mauritius (1), Mexico (4), the Philippines (1), Portugal (1), Thailand (1) and South Africa (1), which span Europe, Africa, Asia and North America, respectively. Bødker et al. [20] were inconclusive about the implications of the policy in Denmark for health, while Cawley et al. found no effect of the Mauritius policy on the BMI of the average population but a significant effect on the BMI of men. Aside from these two studies, the remaining 9 studies found a significant impact of the policies on population health. Barrientos-Gutierrez et al. [117] and Grogger [99] reported that the average BMI and prevalence of obesity decreased following the implementation of the Mexican sugar-sweetened beverage tax. Saxena et al. [120] estimated a reduction in deaths related to diabetes, ischaemic heart disease and stroke in the Philippines. Urwannachotima et al. [121] and Basto-Abreu, Ana, et al. [118] reported significant reductions in dental caries in Thailand and Mexico, respectively. In Denmark, Smed et al. [19] estimated that 123 lives could be saved annually due to the fat tax. These results confirm the conclusion made by Blakely et al. [152] regarding proposed food taxes and subsidies in New Zealand. In addition, the results of this review support the use of fiscal policies such as all forms of food and nutrition taxes to nudge consumers towards healthy living.

Approximately 24 studies explored the implications of implemented tax policies on nontargeted foods. Seven out of the 24 studies concluded that tax policies had no significant impact on the consumption [94, 129], purchase [23, 79, 95], price [105] or sales [81] of nontargeted food products. The majority of the studies found a significant impact of the policy on nontargeted foods resulting from the substitution effect. For instance, in Tonga, Teng et al. [72] and Teng et al. [73] found a significant increase in bottled water purchases following the imposition and revision of the tax on SSBs. A similar result was found by Lee et al. [77] in Berkley, Lalla et al. [53] in Navajo, and Zhong et al. [85] in Philadelphia. Additionally, in Philadelphia, Edmondson et al. [88] and [93] reported a significant shift in the demand for fruit juice. In Denmark, Smed et al. [19] found that the tax led to a significant increase in the consumption of vegetables. Other authors have found significant increases in the sales [76, 91], purchases [92] and prices [113] of untaxed foods. These results clearly show that fiscal policies tend to have unintended effects on inter-category and intra-category purchases, prices and sales. Therefore, a prior assessment of the tax, as in the case of New Zealand, is relevant before implementation.

The last part of the review on taxes did not fit into any of the proposed themes for this review. However, the results were captured considering their relevance to the topic (see Table). Both [110, 136] found no impact of taxes on employment in the counties (San Francisco and Philadelphia) and the SSB sector. The results from this theme also confirm that the government could raise revenues from taxes. Saxena et al. [120] and Saxena et al. [125] estimated 813 million dollars and 450 million dollars per annum increase in revenue for governments in the Philippines and South Africa, respectively. In addition, both governments could save on healthcare expenditures because of the tax policy. Gonçalves and dos Santos [61] found that the prior announcement of the tax in Portugal resulted in stockpiling. A strategy adopted by consumers to reduce cost or evade price increases due to the tax. Although Léger and Powell [80] found evidence of cross-border shopping in Oakland, Powell and Leider (2020) [84] found no evidence of cross-border shopping in Seattle. As a result, the impact of the policy on cross-border shopping is conclusive. More impact assessments are required to ascertain how consumers along borders react to taxes. Interestingly, the Philadelphia SSB tax had a negative impact on consumers of the Supplemental Nutrition Assistance Program (SNAP).

The final section of the review considered the impact of subsidy policies on sales, purchases and consumption. Four subsidy policies were identified in the US: 1 in Canada, 1 in Australia, and 1 in Mexico. Gleason et al. [139] and [140] reported an increase in the consumption of fruits and vegetables or healthy food options in response to the policy. Baronberg et al. [141] found that subsidising consumers increased the sales of participating farmers’ markets. On the negative side, Galloway (2017) found that the NIP did not have a positive impact on the prices paid by consumers. However, in Mexico, it was found that consumers saved on expenditures on Tortillas.

The current review has the following strengths. First, this is the first study to review studies on existing fiscal policies across the globe. Second, we explored all areas impacted by government fiscal policies irrespective of the jurisdiction and period of implementation. As a result, the review presents governments and policymakers with adequate knowledge on the topic and the types of fiscal policies that have been implemented elsewhere.

A major limitation of the present review is the exclusion of impact studies that are based on simulations and controlled experiments. However, the results from these types of studies may be relevant to the policy they are excluded because they are not based on actual government policies. Another limitation is that we could not ascertain the quality of the papers included in this review, which could impact the conclusions drawn from them. Moreover, the impact of fiscal policies on health is not based on observed changes but rather on expected changes. Future research could compare the results from implemented tax policies with simulation or controlled experimental studies. Finally, a restriction of scoping reviews is that the broad nature tend to ignore quality assessment as a result the quality of the evidence reviewed cannot be confirmed in this study [14].

Conclusion

Fiscal policies are necessary to make significant changes within the food market environment. This scooping review provides considerable evidence to suggest that existing fiscal policies have improved consumers’ health, increased the prices of targeted food products, increased government revenue, and shifted consumption and purchases towards healthier food options. The impact of fiscal policies is positive for most continents, countries, jurisdictions, consumer groups and store types. Governments could take advantage of fiscal policies to increase revenues, shape consumer attitudes and reduce the burden of diseases and their propounding effects on healthcare costs. There is limited research on the impact of SSB fiscal policies on cross-border shopping and environmental goals.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Notes

  1. Discretionary foods are foods that are not essential for our health. They are a subset of foods high in saturated fat, sugar and salt comprising confectionery, sweet biscuits, crisps, savoury snacks, cakes, sweet pastries, puddings and sugar containing soft drinks.

  2. Ad valorem tax is a tax based on the value of the product; Value-added tax (VAT) is a consumption tax on goods and services that is levied at each stage of the supply chain where value is added; Excise tax is a legislated tax on a product at the time of purchase; and import tariffs are taxes imposed on products imported from other countries.

  3. These are foods low in calories, sugar, unhealthy fats, salts, but high in minerals and vitamins.

  4. For instance, the Danish fat tax was abolished for financial reasons despite it being effective in the 15 months it was implemented [153, 154].

References

  1. Scotland FS. Situation Report: The Scottish Diet: It needs to change. pp. 1–36, 2018. Available: https://www.foodstandards.gov.scot/downloads/Situation_report_-_the_Scottish_diet_-_it_needs_to_change_-_2018_update_FINAL.pdf

  2. Mente A, de Koning L, Shannon HS, Anand SS. A systematic review of the evidence supporting a causal link between dietary factors and coronary heart disease. Arch Intern Med. 2009;169(7):659–69.

    Article  CAS  PubMed  Google Scholar 

  3. Bidlack WR. Interrelationships of food, nutrition, diet and health: the National Association of State Universities and Land Grant Colleges White Paper. J Am Coll Nutr. 1996;15(5):422–33.

    Article  CAS  PubMed  Google Scholar 

  4. Anand SS, et al. Food consumption and its impact on cardiovascular disease: importance of solutions focused on the globalized food system: a report from the workshop convened by the World Heart Federation. J Am Coll Cardiol. 2015;66(14):1590–614.

    Article  PubMed  PubMed Central  Google Scholar 

  5. The Food Foundation. The Broken Plate, Edinburgh, 2021. Available: https://foodfoundation.org.uk/sites/default/files/2021-10/The-Broken-Plate.pdf.

  6. Foundation BH. Trend projection of preventable risk factors in Scotland, Edinburgh, 2022. Available: https://www.bhf.org.uk/-/media/files/in-your-area-scotland-pages/ncd/scotland-trend-projections.pdf?rev=bf18fb8533f04e419a0e104f642e01bb&hash=D725F9E7B5C70B8EFBA8DEB4CA11892D.

  7. National Records of Scotland. Vital Events - Deaths, Edinburgh, 2020. Available: https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/deaths.

  8. Castle A. Obesity in Scotland, Edinburgh, 2015. Available: https://archive2021.parliament.scot/ResearchBriefingsAndFactsheets/S4/SB_15-01_Obesity_in_Scotland.pdf.

  9. Scotland ASH. Up in Smoke: Tobacco economic cost of tobacco in Scotland, Edinburgh, 2010. Available: https://www.ashscotland.org.uk/media/4634/Up_in_smoke_Nov2010_web.pdf.

  10. Scottish Health Action on Alcohol Problems (SHAAP). Non-Communicable Disease Prevention: Mapping Future Harm, Edinburgh, 2022. Available: https://www.shaap.org.uk/media/attachments/2022/07/04/2022-ncd-trends-report.pdf.

  11. Thow AM, Downs S, Jan S. A systematic review of the effectiveness of food taxes and subsidies to improve diets: understanding the recent evidence. Nutr Rev. vol. 72, no. 9, pp. 551–565, 2014. Available: https://academic.oup.com/nutritionreviews/article-abstract/72/9/551/1859025. Accessed 04 Jan 2021.

  12. World Health Organization (WHO). Fiscal policies for diet and prevention of noncommunicable diseases: technical meeting report, 5–6 May 2015. Geneva, Switzerland: World Health Organization; 2016.

    Google Scholar 

  13. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

    Article  Google Scholar 

  14. McIsaac J-LD, Spencer R, Chiasson K, Kontak J, Kirk SFL. Factors influencing the implementation of nutrition policies in schools: a scoping review. Heal Educ \& Behav. 2019;46(2):224–50.

    Article  Google Scholar 

  15. Alvarado M, et al. Assessing the impact of the Barbados sugar-sweetened beverage tax on beverage sales: an observational study. Int J Behav Nutr Phys Act. 2019;16(1):13. https://doi.org/10.1186/s12966-019-0776-7.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Caro JC, Valizadeh P, Correa A, Silva A, Ng SW. Combined fiscal policies to promote healthier diets: effects on purchases and consumer welfare. PLoS ONE. 2020;15(1):e0226731.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Caro JC, Corvalán C, Reyes M, Silva A, Popkin B, Taillie LS. Chile’s 2014 sugar-sweetened beverage tax and changes in prices and purchases of sugar-sweetened beverages: an observational study in an urban environment. PLoS Med. 2018;15(7):e1002597.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Nakamura R, Mirelman AJ, Cuadrado C, Silva-Illanes N, Dunstan J, Suhrcke M. Evaluating the 2014 sugar-sweetened beverage tax in Chile: an observational study in urban areas. PLoS Med. 2018;15(7):e1002596.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Smed S, Scarborough P, Rayner M, Jensen JD. The effects of the Danish saturated fat tax on food and nutrient intake and modelled health outcomes: an econometric and comparative risk assessment evaluation. Eur J Clin Nutr. 2016;70(6):681–6. https://doi.org/10.1038/ejcn.2016.6.

    Article  CAS  PubMed  Google Scholar 

  20. Bødker M, Pisinger C, Toft U, Jørgensen T. The Danish fat tax—Effects on consumption patterns and risk of ischaemic heart disease, Prev Med (Baltim). vol. 77, pp. 200–203, Aug. 2015, https://doi.org/10.1016/J.YPMED.2015.03.031.

  21. Jensen JD, Smed S, Aarup L, Nielsen E. Effects of the Danish saturated fat tax on the demand for meat and dairy products. Public Health Nutr. 2016;19(17):3085–94. https://doi.org/10.1017/S1368980015002360.

  22. Kurz CF, König AN. The causal impact of sugar taxes on soft drink sales: evidence from France and Hungary. Eur J Heal Econ. 2021;22(6):905–15. https://doi.org/10.1007/s10198-021-01297-x.

    Article  Google Scholar 

  23. Capacci S, Allais O, Bonnet C, Mazzocchi M. The impact of the French soda tax on prices and purchases. An ex post evaluation. PLoS ONE. Oct. 2019;14(10):e0223196. https://doi.org/10.1371/JOURNAL.PONE.0223196.

  24. Thow AM, Quested C, Juventin L, Kun R, Khan AN, Swinburn B. Taxing soft drinks in the Pacific: implementation lessons for improving health. Health Promot Int. 2011;26(1):55–64.

    Article  PubMed  Google Scholar 

  25. Bíró A. Did the junk food tax make the hungarians eat healthier? Food Policy. 2015;54:107–15. https://doi.org/10.1016/J.FOODPOL.2015.05.003.

    Article  Google Scholar 

  26. Zámbó L, et al. Impact assessment of the public health product tax in Hungary. Eur J Public Health. 2020;30. https://doi.org/10.1093/EURPUB/CKAA166.1231. Supplement_5, Sep.

  27. Cawley J, Daly M, Thornton R. The effect of beverage taxes on youth consumption and body mass index: evidence from Mauritius. Health Econ. 2022;31(6):1033–45.

    Article  PubMed  Google Scholar 

  28. Colchero MA, Guerrero-López CM, Molina M, Rivera JA. Beverages sales in Mexico before and after implementation of a sugar sweetened beverage tax. PLoS ONE. 2016;11(9):e0163463.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Sánchez-Romero LM, et al. Association between tax on sugar sweetened beverages and soft drink consumption in adults in Mexico: open cohort longitudinal analysis of Health workers Cohort Study. BMJ. May 2020;369. https://doi.org/10.1136/BMJ.M1311.

  30. Ng SW, Rivera JA, Popkin BM, Colchero MA. Did high sugar-sweetened beverage purchasers respond differently to the excise tax on sugar-sweetened beverages in Mexico? Public Health Nutr. vol. 22, no. 4, pp. 750–756, Mar. 2019, https://doi.org/10.1017/S136898001800321X.

  31. Colchero MA, Rivera-Dommarco J, Popkin BM, Ng SW. In Mexico, evidence of sustained consumer response two years after implementing a sugar-sweetened beverage tax. Health Aff. 2017;36(3):564–71.

    Article  Google Scholar 

  32. Scarborough P, et al. Impact of the announcement and implementation of the UK Soft drinks Industry Levy on sugar content, price, product size and number of available soft drinks in the UK, 2015-19: a controlled interrupted time series analysis. PLoS Med. 2020;17(2):e1003025.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Rogers NT, et al. Anticipatory changes in British household purchases of soft drinks associated with the announcement of the Soft Drinks Industry Levy: A controlled interrupted time series analysis. PLoS Med. 2020;17(11):e1003269. https://doi.org/10.1101/2023.11.27.23299070.

  34. Dickson A, Gehrsitz M, Kemp J. Does a spoonful of sugar levy help the calories go down? An analysis of the UK soft drinks industry levy. Rev Econ Stat. 2023:1–29. https://doi.org/10.1162/rest_a_01345.

  35. Bandy LK, Scarborough P, Harrington RA, Rayner M, Jebb SA. Reductions in sugar sales from soft drinks in the UK from 2015 to 2018. BMC Med. 2020;18(1):20. https://doi.org/10.1186/s12916-019-1477-4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Rogers NT, et al. Anticipatory changes in British household purchases of soft drinks associated with the announcement of the Soft drinks Industry Levy: A controlled interrupted time series analysis. PLoS Med. 2020;17(11):e1003269.

    Article  PubMed Central  Google Scholar 

  37. Pell D, et al. Changes in British household purchases of soft drinks associated with implementation of the soft drinks industry levy. a controlled interrupted time series analysis. BMJ [Internet]. 2021. https://doi.org/10.1136/bmj.n254.

  38. Dogbe W, Revoredo-Giha C. Industry levy versus banning promotion on soft drinks in Scotland: a distributional analysis. Food Policy. 2022;106:102191. https://doi.org/10.1016/J.FOODPOL.2021.102191.

    Article  Google Scholar 

  39. Law C, Cornelsen L, Adams J, Penney T, Rutter H, White M, Smith R. An analysis of the stock market reaction to the announcements of the UK Soft Drinks Industry Levy. Econ Hum Bio. 2020;38:100834.

  40. Segal AB, Olney J, Case KK, Sassi F. The benefits and challenges of taxing sugar in a small island state: an interrupted time series analysis. Int J Behav Nutr Phys Act. 2022;19(1):69. https://doi.org/10.1186/s12966-022-01308-x.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Jensen JD, Smed S. The Danish tax on saturated fat – short run effects on consumption, substitution patterns and consumer prices of fats. Food Policy. Oct. 2013;42:18–31. https://doi.org/10.1016/J.FOODPOL.2013.06.004.

  42. Segovia J, Orellana M, Sarmiento JP, Carchi D. The effects of taxing sugar-sweetened beverages in Ecuador: An analysis across different income and consumption groups. PLoS One. vol. 15, no. 10, p. e0240546, Oct. 2020, https://doi.org/10.1371/journal.pone.0240546.

  43. Martos E et al. Assessment of the impact of a public health product tax. World Heal Organ Reg off Eur Budapest Hung. 2015. Retrieved from http://www.euro.who.int/en/health-topics/diseaseprevention/nutrition/publications/2017/assessment-of-the-impact-of-a-public-health-product-tax-hungary-2016.

  44. Briggs ADM, Mytton OT, Madden D, O’Shea D, Rayner M, Scarborough P. The potential impact on obesity of a 10% tax on sugar-sweetened beverages in Ireland, an effect assessment modelling study. BMC Public Health. 2013;13(1):860. https://doi.org/10.1186/1471-2458-13-860.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Colchero MA, Molina M, Guerrero-López CM. After Mexico implemented a tax, purchases of Sugar-Sweetened beverages decreased and water increased: difference by Place of Residence, Household Composition, and Income Level. J Nutr. 2017;147(8):1552. https://doi.org/10.3945/JN.117.251892.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Colchero MA, Popkin BM, Rivera JA, Ng SW. Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: observational study, BMJ, vol. 352, Jan. 2016, https://doi.org/10.1136/BMJ.H6704.

  47. Pedraza LS, et al. The caloric and sugar content of beverages purchased at different store-types changed after the sugary drinks taxation in Mexico. Int J Behav Nutr Phys Act. 2019;16(1):103. https://doi.org/10.1186/s12966-019-0872-8.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Batis C, Rivera JA, Popkin BM, Taillie LS. First-year evaluation of Mexico’s tax on nonessential energy-dense foods: an observational study. PLOS Med. 2016;13(7):e1002057. https://doi.org/10.1371/JOURNAL.PMED.1002057.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Taillie LS, Rivera JA, Popkin BM, Batis C. Do high vs. low purchasers respond differently to a nonessential energy-dense food tax? Two-year evaluation of Mexico’s 8% nonessential food tax. Prev Med (Baltim). vol. 105, pp. S37–S42, Dec. 2017, https://doi.org/10.1016/J.YPMED.2017.07.009.

  50. Hernández-F M, Batis C, Rivera JA, Colchero MA. Reduction in purchases of energy-dense nutrient-poor foods in Mexico associated with the introduction of a tax in 2014, Prev Med (Baltim). vol. 118, pp. 16–22, Jan. 2019, https://doi.org/10.1016/J.YPMED.2018.09.019.

  51. Aguilera Aburto N, Rodríguez Aguilar R, Sansores DN-H, Martínez, Gutiérrez Delgado C. Impuestos en botanas. Su impacto en precio y consumo en México. Trimest Econ. 2017;84(336):773. https://doi.org/10.20430/ete.v84i336.606.

    Article  Google Scholar 

  52. George C et al. Sep., Changes in food pricing and availability on the Navajo Nation following a 2% tax on unhealthy foods: The Healthy Diné Nation Act of 2014. PLoS One. vol. 16, no. 9, p. e0256683, 2021, https://doi.org/10.1371/journal.pone.0256683.

  53. Trujillo Lalla A, et al. Shopper Purchasing trends at Small Stores on the Navajo Nation since the passage of the healthy Diné Nation Act Tax: a multi-year cross-sectional survey. Curr Dev Nutr. 2022;6(5):6005009. https://doi.org/10.1093/cdn/nzac040.

    Article  Google Scholar 

  54. Øvrebø B, Halkjelsvik TB, Meisfjord JR, Bere E, Hart RK. The effects of an abrupt increase in taxes on candy and soda in Norway: an observational study of retail sales. Int J Behav Nutr Phys Act. 2020;17(1):115. https://doi.org/10.1186/s12966-020-01017-3.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Keighley ED, McGarvey ST, Quested C, McCuddin C, Viali S, Maga UA. Nutrition and health in modernizing samoans: temporal trends and adaptive perspectives. Camb Stud Biol Evol Anthropol. 2007;52:147.

    Google Scholar 

  56. Onagan FCC, Ho BLC, Chua KKT. Development of a sweetened beverage tax, Philippines., Bull. World Health Organ., vol. 97, no. 2, pp. 154–159, Feb. 2019, https://doi.org/10.2471/BLT.18.220459.

  57. Goncalves J, Merenda R, dos Santos JP. Not so sweet: the impact of the Portuguese soda tax on producers. Essen: RWI - Leibniz-Institut für Wirtschaftsforschung; 2022. https://doi.org/10.4419/96973099.

    Book  Google Scholar 

  58. Goiana-da-Silva F, Nunes AM, Miraldo M, Bento A, Breda J, Araújo FF. Fiscalidade ao Serviço da Saúde Pública: A Experiência na Tributação das Bebidas Açucaradas em Portugal. Acta Med Port. vol. 31, no. 4, pp. 191–195, Apr. 2018, https://doi.org/10.20344/amp.10222.

  59. Goiana-da-Silva F, Cruz-e-Silva D, Gregório MJ, Miraldo M, Darzi A, Araújo F. The future of the sweetened beverages tax in Portugal. Lancet Public Heal. Dec. 2018;3(12):e562. https://doi.org/10.1016/S2468-2667(18)30240-8.

  60. Goiana-da-Silva F, et al. Projected impact of the Portuguese sugar-sweetened beverage tax on obesity incidence across different age groups: a modelling study. PLOS Med. Mar. 2020;17(3):e1003036. https://doi.org/10.1371/journal.pmed.1003036.

  61. Gonçalves J, Pereira dos Santos J. Brown sugar, how come you taste so good? The impact of a soda tax on prices and consumption. Soc Sci Med. 2020;264:113332. https://doi.org/10.1016/j.socscimed.2020.113332.

    Article  PubMed  Google Scholar 

  62. Alhareky M, Bedi S, AlMulhim A, El Tantawi M, Farooqi FA, AlHumaid J. Impact of Sugar Tax on Sugar-sweetened Beverage Consumption among Saudi Schoolchildren. Oral Health Prev Dent. vol. 19, no. 1, pp. 189–194, Jan. 2021, https://doi.org/10.3290/j.ohpd.b1075081.

  63. Alsukait R, Wilde P, Bleich SN, Singh G, Folta SC. Evaluating Saudi Arabia’s 50% carbonated drink excise tax: changes in prices and volume sales. Econ Hum Biol. 2020;38:100868. https://doi.org/10.1016/j.ehb.2020.100868.

    Article  PubMed  Google Scholar 

  64. Megally R, Al-Jawaldeh A. Impact of sin taxes on consumption volumes of sweetened beverages and soft drinks in Saudi Arabia. F1000Research. 2020;9:1117. https://doi.org/10.12688/f1000research.25853.2.

    Article  PubMed  Google Scholar 

  65. Bercholz M, Ng SW, Stacey N, Swart EC. Decomposing consumer and producer effects on sugar from beverage purchases after a sugar-based tax on beverages in South Africa. Econ Hum Biol. 2022;46:101136. https://doi.org/10.1016/j.ehb.2022.101136.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Koen N, Ebrahim Z, Louisa Marais M, Nel D, Smit Y. Taxation of sugar-sweetened beverages in South Africa: perspectives of consumers in Cape Town. J Public Health Res. 2022;11(4):22799036221129370.

    Google Scholar 

  67. Essman M, Taillie LS, Frank T, Ng SW, Popkin BM, Swart EC. Taxed and untaxed beverage intake by South African young adults after a national sugar-sweetened beverage tax: A before-and-after study. PLOS Med. 2021;18(5):e1003574. https://doi.org/10.1371/journal.pmed.1003574.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Fichera E, Mora T, Lopez-Valcarcel BG, Roche D. How do consumers respond to ‘sin taxes’? New evidence from a tax on sugary drinks. Soc Sci Med. 2021;274:113799. https://doi.org/10.1016/j.socscimed.2021.113799.

    Article  PubMed  Google Scholar 

  69. Royo-Bordonada MÁ, Fernández-Escobar C, Simón L, Sanz-Barbero B, Padilla J. Impact of an excise tax on the consumption of sugar-sweetened beverages in young people living in poorer neighbourhoods of Catalonia, Spain: a difference in differences study. BMC Public Health. 2019;19(1):1553. https://doi.org/10.1186/s12889-019-7908-5.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Vall Castelló J, Lopez Casasnovas G. Impact of SSB taxes on sales. Econ Hum Biol. 2020;36:100821. https://doi.org/10.1016/j.ehb.2019.100821.

    Article  PubMed  Google Scholar 

  71. Puig-Codina L, Pinilla J, Puig-Junoy J. The impact of taxing sugar-sweetened beverages on cola purchasing in Catalonia: an approach to causal inference with time series cross-sectional data. Eur J Heal Econ. 2021;22(1):155–68. https://doi.org/10.1007/s10198-020-01246-0.

    Article  Google Scholar 

  72. Teng A, et al. Equity of expenditure changes associated with a sweetened-beverage tax in Tonga: repeated cross-sectional household surveys. BMC Public Health. 2021;21(1):149. https://doi.org/10.1186/s12889-020-10139-z.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Teng A, et al. Sweetened beverage taxes and changes in beverage price, imports and manufacturing: interrupted time series analysis in a middle-income country. Int J Behav Nutr Phys Act. 2020;17(1):90. https://doi.org/10.1186/s12966-020-00980-1.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Phulkerd S, Thongcharoenchupong N, Chamratrithirong A, Soottipong Gray R, Prasertsom P. Changes in Population-Level Consumption of Taxed and Non-taxed Sugar-Sweetened beverages (SSB) after implementation of SSB excise tax in Thailand: a prospective cohort study. Nutrients. 2020;12(11). https://doi.org/10.3390/nu12113294.

  75. Falbe J, Thompson HR, Becker CM, Rojas N, Mcculloch CE, Madsen KA. Impact of the Berkeley excise tax on Sugar-Sweetened Beverage Consumption. Public Health. 2016;106:1865–71. https://doi.org/10.2105/AJPH.2016.303362.

    Article  Google Scholar 

  76. Silver LD, et al. Changes in prices, sales, consumer spending, and beverage consumption one year after a tax on sugar-sweetened beverages in Berkeley, California, US: a before-and-after study. PLOS Med. 2017;14(4):e1002283. https://doi.org/10.1371/JOURNAL.PMED.1002283.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Lee MM, Falbe J, Schillinger D, Basu S, McCulloch CE, Madsen KA. Sugar-sweetened beverage consumption 3 years after the Berkeley, California, sugar-sweetened beverage tax. Am J Public Health. vol. 109, no. 4, pp. 637–639, Apr. 2019, https://doi.org/10.2105/AJPH.2019.304971.

  78. Powell LM, Leider J. Evaluation of changes in beverage prices and volume sold following the implementation and repeal of a sweetened beverage tax in Cook County, Illinois. JAMA Netw open. 2020;3(12):e2031083–2031083.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Powell LM, Leider J, Léger PT. The impact of a sweetened beverage tax on beverage volume sold in Cook County, Illinois, and its border area. Ann Intern Med. 2020;172(6):390–7.

    Article  PubMed  Google Scholar 

  80. Léger PT, Powell LM. The impact of the Oakland SSB tax on prices and volume sold: a study of intended and unintended consequences. Health Econ. 2021;30(8):1745–71.

    Article  PubMed  Google Scholar 

  81. Powell LM, Leider J, Oddo VM. Evaluation of Changes in Grams of Sugar Sold After the Implementation of the Seattle Sweetened Beverage Tax. Obstet Gynecol Surv. vol. 77, no. 5, 2022. Available: https://journals.lww.com/obgynsurvey/Fulltext/2022/05000/Evaluation_of_Changes_in_Grams_of_Sugar_Sold_After.4.aspx.

  82. Powell LM, Leider J. Impact of a sugar-sweetened beverage tax two-year post-tax implementation in Seattle, Washington, United States. J Public Health Policy. 2021;42(4):574–88. https://doi.org/10.1057/s41271-021-00308-8.

    Article  PubMed  Google Scholar 

  83. Oddo VM, Leider J, Powell LM. The Impact of Seattle’s Sugar-Sweetened Beverage Tax on Substitution to Sweets and Salty Snacks. J Nutr. vol. 151, no. 10, pp. 3232–3239, Oct. 2021, https://doi.org/10.1093/jn/nxab194.

  84. Powell LM, Leider J. The impact of Seattle’s Sweetened Beverage Tax on beverage prices and volume sold. Econ Hum Biol. 2020;37:100856. https://doi.org/10.1016/j.ehb.2020.100856.

    Article  PubMed  Google Scholar 

  85. Zhong Y, Auchincloss AH, Lee BK, Kanter GP. The short-term impacts of the Philadelphia Beverage Tax on Beverage Consumption. Am J Prev Med. Jul. 2018;55(1):26–34. https://doi.org/10.1016/J.AMEPRE.2018.02.017.

  86. Roberto CA, et al. Association of a Beverage Tax on Sugar-Sweetened and artificially sweetened beverages with changes in Beverage prices and sales at Chain Retailers in a large Urban setting. JAMA. May 2019;321(18):1799–810. https://doi.org/10.1001/JAMA.2019.4249.

  87. Bleich SN, et al. Association of a Sweetened Beverage Tax with purchases of beverages and High-Sugar Foods at Independent Stores in Philadelphia. JAMA Netw Open. Jun. 2021;4(6):e2113527. https://doi.org/10.1001/jamanetworkopen.2021.13527.

  88. Edmondson EK, Roberto CA, Gregory EF, Mitra N, Virudachalam S. Association of a Sweetened Beverage Tax with Soda Consumption in High School Students. JAMA Pediatr. 2021;175(12):1261–8. https://doi.org/10.1001/jamapediatrics.2021.3991.

    Article  PubMed  Google Scholar 

  89. Lawman HG et al. Sep., One-year changes in sugar-sweetened beverage consumers’ purchases following implementation of a beverage tax: a longitudinal quasi-experiment. Am J Clin Nutr. vol. 112, no. 3, pp. 644–651, 2020, https://doi.org/10.1093/ajcn/nqaa158.

  90. Zhong Y, Auchincloss AH, Lee BK, McKenna RM, Langellier BA. Sugar-Sweetened and Diet Beverage Consumption in Philadelphia One Year after the Beverage Tax. Int J Environ Res Public Health. 2020;17(4). https://doi.org/10.3390/ijerph17041336.

  91. Petimar J, et al. Sustained impact of the Philadelphia Beverage Tax on Beverage prices and sales over 2 years. Am J Prev Med. 2022;62(6):921–9. https://doi.org/10.1016/j.amepre.2021.12.012.

    Article  PubMed  PubMed Central  Google Scholar 

  92. Bleich SN et al. Jul., The Association Of A Sweetened Beverage Tax With Changes In Beverage Prices And Purchases At Independent Stores. Health Aff. vol. 39, no. 7, pp. 1130–1139, 2020, https://doi.org/10.1377/hlthaff.2019.01058.

  93. Seiler S, Tuchman A, Yao S. The Impact of Soda Taxes: Pass-Through, Tax Avoidance, and Nutritional Effects. J Mark Res. vol. 58, no. 1, pp. 22–49, Feb. 2021, https://doi.org/10.1177/0022243720969401.

  94. Cawley J, Frisvold D, Hill A, Jones D. The impact of the Philadelphia beverage tax on purchases and consumption by adults and children. J Health Econ. 2019;67:102225. https://doi.org/10.1016/j.jhealeco.2019.102225.

    Article  PubMed  Google Scholar 

  95. Grummon AH, et al. Purchases of Nontaxed Foods, beverages, and Alcohol in a longitudinal cohort after implementation of the Philadelphia Beverage Tax. J Nutr. 2021;152(3):880–8. https://doi.org/10.1093/jn/nxab421.

    Article  CAS  Google Scholar 

  96. Alvarado M, et al. Trends in beverage prices following the introduction of a tax on sugar-sweetened beverages in Barbados. Prev Med (Baltim). 2017;105:S23–5. https://doi.org/10.1016/j.ypmed.2017.07.013.

    Article  Google Scholar 

  97. Cuadrado C, Dunstan J, Silva-Illanes N, Mirelman AJ, Nakamura R, Suhrcke M. Effects of a sugar-sweetened beverage tax on prices and affordability of soft drinks in Chile: a time series analysis. Soc Sci Med. 2020;245:112708. https://doi.org/10.1016/j.socscimed.2019.112708.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Etilé F, Lecocq S, Boizot-Szantai C. The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare: Evidence from the French ‘ Soda Tax,’ Paris, Jun. 2018. Accessed: May 20, 2022. Available: https://halshs.archives-ouvertes.fr/halshs-01808198.

  99. Grogger J. Soda taxes and the prices of sodas and other drinks: evidence from Mexico. Wiley Online Library; 2017.

    Google Scholar 

  100. Colchero MA,  Salgado JC, Unar-Munguía M, Hernández-Ávila M, Rivera-Dommarco JA. Price elasticity of the demand for sugar sweetened beverages and soft drinks in Mexico. Econ Hum Biol. 2015;19:129–37.

  101. Salgado JC, Ng SW. Understanding heterogeneity in price changes and firm responses to a national unhealthy food tax in Mexico. Food Policy. 2019;89:101783. https://doi.org/10.1016/j.foodpol.2019.101783.

    Article  PubMed  PubMed Central  Google Scholar 

  102. Gračner T, Kapinos KA, Gertler PJ. Associations of a national tax on non-essential high calorie foods with changes in consumer prices. Food Policy. 2022;106:102193. https://doi.org/10.1016/j.foodpol.2021.102193.

    Article  PubMed  Google Scholar 

  103. Berardi N, Sevestre P, Tepaut M, Vigneron A. The impact of a ‘soda tax’on prices: evidence from French micro data. Appl Econ. 2016;48(41):3976–94.

    Article  Google Scholar 

  104. Arantxa Colchero M, Salgado JC, Unar-Munguía M, Molina M, Ng S, Rivera-Dommarco JA. Changes in Prices After an Excise Tax to Sweetened Sugar Beverages Was Implemented in Mexico: Evidence from Urban Areas. PLoS ONE. 2015;10(12):e0144408. https://doi.org/10.1371/JOURNAL.PONE.0144408.

    Article  PubMed  PubMed Central  Google Scholar 

  105. Stacey N, Mudara C, Ng SW, van Walbeek C, Hofman K, Edoka I. Sugar-based beverage taxes and beverage prices: evidence from South Africa’s Health Promotion Levy. Soc Sci Med. 2019;238:112465. https://doi.org/10.1016/j.socscimed.2019.112465.

    Article  PubMed  Google Scholar 

  106. Falbe J, Rojas N, Grummon AH, Madsen KA. Higher Retail prices of Sugar-Sweetened beverages 3 months after implementation of an excise tax in Berkeley, California. Am J Public Health. 2015;105(11):2194–201. https://doi.org/10.2105/AJPH.2015.302881.

    Article  PubMed  PubMed Central  Google Scholar 

  107. Cawley J, Frisvold DE. The Pass-Through of Taxes on Sugar-Sweetened Beverages to Retail Prices: The Case of Berkeley, California. J Policy Anal Manag. vol. 36, no. 2, pp. 303–326, Mar. 2017, https://doi.org/10.1002/pam.21960.

  108. Cawley J, Frisvold D, Jones D, Lensing C. The pass-through of a tax on sugar-sweetened beverages in Boulder, Colorado. Am J Agric Econ. 2021;103(3):987–1005.

    Article  Google Scholar 

  109. Powell LM, Leider J, Léger PT. The impact of the Cook County, IL, Sweetened Beverage Tax on beverage prices. Econ Hum Biol. 2020;37:100855. https://doi.org/10.1016/j.ehb.2020.100855.

    Article  PubMed  Google Scholar 

  110. Marinello S, Pipito AA, Leider J, Pugach O, Powell LM. Longer-term impacts of sugar-sweetened beverage taxes on fast-food beverage prices: evidence from Oakland, California, 2-year post-tax. Public Health Nutr. 2021;24(11):3571–5. https://doi.org/10.1017/S1368980020005212.

    Article  PubMed  Google Scholar 

  111. Cawley J, Frisvold D, Hill A, Jones D. Oakland’s sugar-sweetened beverage tax: impacts on prices, purchases and consumption by adults and children. Econ Hum Biol. 2020;37:100865. https://doi.org/10.1016/j.ehb.2020.100865.

    Article  PubMed  Google Scholar 

  112. Leider J, Li Y, Powell LM. Pass-through of the Oakland, California, sugar-sweetened beverage tax in food stores two years post-implementation: a difference-in-differences study. PLoS ONE. 2021;16(1):e0244884.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  113. Marinello S, Pipito AA, Leider J, Pugach O, Powell LM. The impact of the Oakland sugar-sweetened beverage tax on bottled soda and fountain drink prices in fast-food restaurants. Prev Med Rep. 2020;17:101034. https://doi.org/10.1016/j.pmedr.2019.101034.

    Article  PubMed  Google Scholar 

  114. Jones-Smith JC, et al. Impact of a sweetened beverage tax on beverage prices in Seattle, WA. Econ Hum Biol. 2020;39:100917. https://doi.org/10.1016/j.ehb.2020.100917.

    Article  PubMed  PubMed Central  Google Scholar 

  115. Cawley J, Willage B, Frisvold D. Pass-through of a tax on Sugar-Sweetened beverages at the Philadelphia International Airport. JAMA. 2018;319(3):305–6. https://doi.org/10.1001/jama.2017.16903.

    Article  PubMed  Google Scholar 

  116. Cawley J, Frisvold D, Hill A, Jones D. The Impact of the Philadelphia Beverage Tax on Prices and Product Availability. J. Policy Anal Manag. vol. 39, no. 3, pp. 605–628, Jun. 2020, https://doi.org/10.1002/pam.22201.

  117. Barrientos-Gutiérrez T, Colchero MA, Sánchez-Romero LM, Batis C, Rivera-Dommarco J. Position paper on taxes to nonessential energy-dense foods and sugar-sweetened beverages. Salud Publica Mex. 2018;60(5):b586–91.

    Article  Google Scholar 

  118. Basto-Abreu A, et al. Cost-effectiveness of the sugar-sweetened beverage excise tax in Mexico. Health Aff. 2019;38(11):1824–31.

    Article  Google Scholar 

  119. Hernández-F M, Cantoral A, Colchero MA. Taxes to unhealthy food and beverages and oral health in Mexico: an observational study. Caries Res. 2021;55(3):183–92.

    Article  PubMed  Google Scholar 

  120. Saxena A, Koon AD, Lagrada-Rombaua L, Angeles-Agdeppa I, Johns B, Capanzana M. Modelling the impact of a tax on sweetened beverages in the Philippines: an extended cost-effectiveness analysis. Bull World Health Organ. vol. 97, no. 2, pp. 97–107, Feb. 2019, https://doi.org/10.2471/BLT.18.219980.

  121. Urwannachotima N, Hanvoravongchai P, Ansah JP, Prasertsom P, Koh VRY. Impact of sugar-sweetened beverage tax on dental caries: a simulation analysis. BMC Oral Health. 2020;20(1):76. https://doi.org/10.1186/s12903-020-1061-5.

    Article  PubMed  PubMed Central  Google Scholar 

  122. Rogers NT, et al. Associations between trajectories of obesity prevalence in English primary school children and the UK soft drinks industry levy: an interrupted time series analysis of surveillance data. PLoS Med. 2023;20(1):e1004160.

    Article  PubMed  PubMed Central  Google Scholar 

  123. Rogers NT, et al. Estimated impact of the UK soft drinks industry levy on childhood hospital admissions for carious tooth extractions: interrupted time series analysis. BMJ Nutr Prev Heal. 2023;6(2):243–52.

    Article  Google Scholar 

  124. Barrientos-Gutierrez T, et al. Expected population weight and diabetes impact of the 1-peso-per-litre tax to sugar sweetened beverages in Mexico. PLoS ONE. 2017;12(5):e0176336.

    Article  PubMed  PubMed Central  Google Scholar 

  125. Saxena A, Stacey N, Puech PDR, Mudara C, Hofman K, Verguet S. The distributional impact of taxing sugar-sweetened beverages: findings from an extended cost-effectiveness analysis in South Africa. BMJ Glob Heal. 2019;4(4). https://doi.org/10.1136/bmjgh-2018-001317.

  126. Chu BTY, Irigaray CP, Hillier SE, Clegg ME. The sugar content of children’s and lunchbox beverages sold in the UK before and after the soft drink industry levy. Eur J Clin Nutr. 2020;74(4):598–603.

    Article  CAS  PubMed  Google Scholar 

  127. Powell LM, Leider J, Oddo VM. Evaluation of changes in Grams of Sugar sold after the implementation of the Seattle Sweetened Beverage Tax. Obstet Gynecol Surv, 77, 5, 2022.

  128. Powell LM, Leider J. Impact of the Seattle Sweetened Beverage Tax on substitution to alcoholic beverages PLoS One. vol. 17, no. 1, p. e0262578, Jan. 2022, https://doi.org/10.1371/journal.pone.0262578.

  129. Gibson LA, et al. No evidence of Food or Alcohol Substitution in response to a Sweetened Beverage Tax. Am J Prev Med. 2021;60(2):e49–57. https://doi.org/10.1016/j.amepre.2020.08.021.

    Article  PubMed  Google Scholar 

  130. Lozano-Rojas F, Carlin P. The effect of soda taxes beyond beverages in Philadelphia, Health Econ., vol. 31, no. 11, pp. 2381–2410, Nov. 2022, https://doi.org/10.1002/hec.4586.

  131. Fage B, Vasilev A. Understanding the effect of a soft drinks industry levy on consumer well-being in the UK: first estimates. Economics. 2021;9(1):25–42.

    Article  Google Scholar 

  132. Zenk SN, Leider J, Pugach O, Pipito AA, Powell LM. Changes in Beverage Marketing at stores following the Oakland Sugar-Sweetened Beverage Tax. Am J Prev Med. 2020;58(5):648–56. https://doi.org/10.1016/j.amepre.2019.12.014.

    Article  PubMed  Google Scholar 

  133. Zenk SN, Li Y, Leider J, Pipito AA, Powell LM. No long-term store marketing changes following sugar-sweetened beverage tax implementation: Oakland, California. Health Place. 2021;68:102512. https://doi.org/10.1016/j.healthplace.2021.102512.

    Article  PubMed  Google Scholar 

  134. Marinello S, Leider J, Powell LM. Employment impacts of the San Francisco sugar-sweetened beverage tax 2 years after implementation. PLoS ONE. 2021;16(6):e0252094.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  135. Chrisinger BW. Philadelphia’s excise tax on Sugar-Sweetened and artificially sweetened beverages and Supplemental Nutrition Assistance Program Benefit Redemption. Am J Public Health. 2021;111(11):1986–96. https://doi.org/10.2105/AJPH.2021.306464.

    Article  PubMed  PubMed Central  Google Scholar 

  136. Marinello S, Leider J, Pugach O, Powell LM. The impact of the Philadelphia beverage tax on employment: a synthetic control analysis. Econ Hum Biol. 2021;40:100939. https://doi.org/10.1016/j.ehb.2020.100939.

    Article  PubMed  Google Scholar 

  137. Galloway T. Canada’s northern food subsidy Nutrition North Canada: a comprehensive program evaluation. Int J Circumpolar Health. 2017;76. https://doi.org/10.1080/22423982.2017.1279451.

  138. Lu W et al. Feb., Evaluating the Influence of the Revised Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Food Allocation Package on Healthy Food Availability, Accessibility, and Affordability in Texas. J Acad Nutr Diet. vol. 116, no. 2, pp. 292–301, 2016, https://doi.org/10.1016/J.JAND.2015.10.021.

  139. Gleason S, Morgan R, Bell L, Pooler J. Impact of the revised WIC food package on small WIC vendors: insight from a four-state evaluation. Alexandria: Altarum Institute; 2011. https://calwic.org/storage/FourStateWICFoodPackageEvaluation-Full_Report-20May11.pdf.

  140. Young CR, et al. Improving Fruit and Vegetable Consumption Among Low-Income Customers at Farmers Markets: Philly Food Bucks, Philadelphia, Pennsylvania, 2011. Prev Chronic Dis. 2013;10(10). https://doi.org/10.5888/PCD10.120356.

  141. Baronberg S, Dunn L, Nonas C, Dannefer R, Sacks R. The impact of New York City’s Health Bucks Program on electronic benefit transfer spending at farmers markets, 2006–2009. Prev Chronic Dis. 2013;10(9):E163. https://doi.org/10.5888/PCD10.130113.

    Article  PubMed  PubMed Central  Google Scholar 

  142. Black AP et al. Dec., Nutritional impacts of a fruit and vegetable subsidy programme for disadvantaged Australian Aboriginal children. Br J Nutr. vol. 110, no. 12, pp. 2309–2317, 2013, https://doi.org/10.1017/S0007114513001700.

  143. Shamah Levy T, Avila Curiel A, Cuevas Nasu L, Chávez Villasana A, Avila Arcos MA, Fernández Mendoza C. The tortilla subsidy in Mexico: a nutritional or economic program? Arch Latinoam Nutr. 2003;53(1):5–13.

    PubMed  Google Scholar 

  144. Pedraza LS, Popkin BM, Salgado JC, Taillie LS. Mexican households’ purchases of foods and beverages vary by store-type, taxation status, and SES. Nutrients. 2018;10(8):1044.

    Article  PubMed  PubMed Central  Google Scholar 

  145. News BBC. Irn Bru panic as fans stockpile before recipe change, British Broadcasting Corporation, Glasgow, Jan. 04, 2018. Available: https://www.bbc.co.uk/news/uk-scotland-glasgow-west-42565363.

  146. Galloway T. Is the Nutrition North Canada retail subsidy program meeting the goal of making nutritious and perishable food more accessible and affordable in the North? Can J Public Health. Sep. 2014;105(5):e395–7. https://doi.org/10.17269/CJPH.105.4624.

  147. Scantlebury RJ, Moody A, Oyebode O, Mindell JS. Has the UK Healthy Start Voucher scheme been associated with an increased fruit and vegetable intake among target families? Analysis of Health Survey for England data, 2001–2014. J Epidemiol Community Heal. 2018;72(7):623–9.

    Article  Google Scholar 

  148. Colchero AM, Popkin BM, Rivera JA, Ng SW. Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: observational study. BMJ. 2016;352:h6704. https://doi.org/10.1136/bmj.h6704.

    Article  PubMed  PubMed Central  Google Scholar 

  149. Darmon N, Drewnowski A. Does social class predict diet quality? Am J Clin Nutr. 2008;87(5):1107–17.

    Article  CAS  PubMed  Google Scholar 

  150. Marmot M. Review of social determinants and the health divide in the WHO European Region. World Health Organization. Regional Office for Europe; 2014.

  151. Batis C, Rivera JA, Popkin BM, Taillie LS. First-year evaluation of Mexico’s tax on nonessential energy-dense foods: an observational study. PLoS Med. 2016;13(7):e1002057.

    Article  PubMed  PubMed Central  Google Scholar 

  152. Blakely T, et al. The effect of food taxes and subsidies on population health and health costs: a modelling study. Lancet Public Heal. 2020;5(7):e404–13. https://doi.org/10.1016/S2468-2667(20)30116-X.

    Article  Google Scholar 

  153. Bødker M, Pisinger C, Toft U, Jørgensen T. The Danish fat tax—effects on consumption patterns and risk of ischaemic heart disease. Prev Med (Baltim). 2015;77:200–3. https://doi.org/10.1016/j.ypmed.2015.03.031.

    Article  Google Scholar 

  154. Bødker M, Pisinger C, Toft U, Jørgensen T. The rise and fall of the world’s first fat tax, Health Policy (New. York)., vol. 119, no. 6, pp. 737–742, Jun. 2015, https://doi.org/10.1016/J.HEALTHPOL.2015.03.003.

Download references

Acknowledgements

This work was supported by the Rural and Environment Science and Analytical Services Division of the Scottish Government SRUC B4-5 (Food supply and security) and SRUC B5 (Food and Drink Improvement).

Funding

This work was supported by the Rural and Environment Science and Analytical Services

Division of the Scottish Government SRUC B4-5 (Food supply and security) and SRUC B5 (Food and Drink Improvement).

Author information

Authors and Affiliations

Authors

Contributions

WD: Literature search, Conceptualization, Methodology Writing – original draft preparation. FA: Conceptualisation, Reviewing and Editing. VR: Validation, Draft preparation, Editing. CRG: Validation, Reviewing and Editing.

Corresponding author

Correspondence to Wisdom Dogbe.

Ethics declarations

Ethics approval and consent to participate

This study did not require ethics approval.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dogbe, W., Akaichi, F., Rungapamestry, V. et al. Effectiveness of implemented global dietary interventions: a scoping review of fiscal policies. BMC Public Health 24, 2552 (2024). https://doi.org/10.1186/s12889-024-19988-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-024-19988-4

Keywords