Objective To examine the quality of tobacco industry-funded data on the illicit tobacco trade (ITT) through a systematic review of existing assessments of industry-funded data on ITT.
Data sources Papers and reports assessing tobacco industry-funded data on ITT were obtained via searches of 8 academic databases, Google searches and correspondence with ITT experts.
Study selection Inclusion criteria identified 35 English-language papers containing an original assessment of tobacco industry-funded data.
Data extraction Using a coding framework, information was extracted from the assessments regarding the quality of tobacco industry data. Documents were second-coded, achieving 94% intercoder reliability with all disagreements resolved.
Data synthesis Of the 35 assessments reviewed, 31 argued that tobacco industry estimates were higher than independent estimates. Criticisms identified problems with data collection (29), analytical methods (22) and presentation of results (21), which resulted in inflated ITT estimates or data on ITT that were presented in a misleading manner. Lack of transparency from data collection right through to presentation of findings was a key issue with insufficient information to allow replication of the findings frequently cited.
Conclusions Tobacco industry data on ITT are not reliable. At present, the tobacco industry continues to fund and disseminate ITT research through initiatives such as PMI IMPACT. If industry data on ITT cannot meet the standards of accuracy and transparency set by high-quality research publications, a solution may be to tax tobacco companies and administer the resulting funds to experts, independent of the tobacco industry, who use previously developed reliable models for measuring ITT.
- illegal tobacco products
- tobacco industry
- public policy
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The illicit tobacco trade (ITT) is difficult to measure due to its illegality,1–3 its global4 and changing nature2 5 and data collection and analysis complexities.2 3 6 7 While methods such as Empty Pack Surveys (EPS), consumer surveys, econometric modelling and tax gap approaches have been used effectively by multiple non-industry sources;3 8–15globally, there is no agreed ‘gold-standard’ methodology for estimating ITT16 and estimates vary greatly in rigour and approach.17
In recent years, transnational tobacco companies (TTCs) (box 1) have been a major funding source of data on ITT.18–28 They heavily publicise these data, especially when a tobacco control policy is being debated.1 The tobacco industry has commissioned reports on ITT,19 25–27 29–35 often produced by global accountancy firms such as KPMG, Deloitte and PricewaterhouseCoopers.25 28 32 At least one of these firms has expressed concern that the TTCs have used their research findings in a misleading manner.36 TTCs use such self-funded data and the threat of the ITT in efforts to oppose tobacco control policies,1 37 38 arguing that tobacco control measures will increase ITT and its associated criminality.1 37–44
Transnational tobacco company/companies
Products bearing a trademark of a cigarette manufacturer that are manufactured by a third party without the cigarette manufacturer’s consent.46
Tobacco industry illicit
Tobacco company product that was en route to, imported into, distributed in or sold in a jurisdiction in violation of the applicable fiscal laws of that jurisdiction,46 for example, tobacco industry product present in the illicit market. The fact that this product was manufactured by the TTCs does not imply they are always responsible when that product ends up on the illicit market.
Any tobacco product (including counterfeit and tobacco industry) imported in a jurisdiction in violation of the applicable fiscal laws of that jurisdiction.55
Tobacco products brought in from an overseas market. This can include overseas purchases that were then transported legally (legal non-domestic), as well as contraband products (illicit/illegal non-domestic).109
As a consequence of TTCs' use of self-funded data, a growing number of independent studies have scrutinised the quality of these data in Australia,45 Europe,46 Asia47 and South Africa,48 levelling a number of criticisms against them.31 46 To date, there has been no attempt to systematically summarise this literature. Undertaking these assessments is expensive, time consuming and difficult to achieve quickly enough to be useful within the rapidly moving policy cycle.
This paper therefore aims to systematically review existing studies, which assess tobacco industry data on ITT (hereafter ‘assessments’) to provide a substantive overview of the characteristics of such data and to identify the nature of critiques of tobacco industry data/reports on ITT. By compiling this information, this review will aid public health responses to any future data on this topic.
Growing tobacco industry funding of research on ITT underlines the importance of such work. Philip Morris International’s (PMI) latest initiative, PMI IMPACT, has pledged US$100 million to fund research on illegal trade and related crimes and, as of early 2017, had committed US$28 million to 32 projects across the European Union (EU).49 50 Outlining the findings of existing assessments of past data funded by the tobacco industry is a useful and necessary step towards better understanding future data and how to respond to it.
To identify existing independent assessments of TTC-funded data or reports on the ITT, the following search string was applied to eight databases (Business Source Complete, Embase, the International Bibliography of Social Sciences, Ovid, PubMed and PubMed Central, ScienceDirect and Web of Science):
(("Philip Morris" OR "PMI" OR "British American Tobacco" OR "BAT" OR "Imperial Tobacco" OR "Imperial Brands" OR "Imperial" OR "ITG" OR "Japan Tobacco" OR "JTI" OR "Tobacco company" OR ‘"transnational tobacco company" OR "TTC" OR "TTCs") AND ("research" OR "evidence" OR data* OR "study" OR "studies" OR report*) AND (illicit* OR illegal* OR smuggl* OR "contraband" OR counterfeit*) AND ("tobacco" OR cigar*)).
Minor variations were made in order to identify the most effective search for each database. Additional searches were conducted in the specialist peer-reviewed journals Addiction, Health Economics and Tobacco Control to ensure that potentially relevant assessments had not been overlooked within the main database searches.
Google searches were performed to identify grey literature using ‘illicit tobacco’ and the names of the aforementioned TTCs. Searches for ‘illicit tobacco’ were also performed on websites of organisations involved in tobacco industry monitoring and research on ITT. All searches were conducted between February and March 2017. In order to capture as many potentially relevant assessments as possible, results were not restricted by year of publication (see online supplementary appendix 1 for full protocol).
Supplementary file 1
A total of 3815 potential assessments were identified; 3720 from database searches and 95 from non-database sources. Records were stored in a reference management system (Endnote) where duplicates were removed, leaving 2690 documents. Inclusion and exclusion criteria (box 2), developed in conjunction with all authors and piloted, were then applied, leaving 56 potential assessments after title and abstract screening. The bibliographies of these 56 were then hand-searched to identify any additional literature, bringing the total of potential assessments to 60.
Inclusion and exclusion criteria and key definitions.
This review aimed to identify documents that assess tobacco industry-funded data on illicit tobacco trade (ITT) (assessments) and was conducted in two stages:
Document must be written in English.
Document must include data on ITT (a key term search of the document was conducted when this could not be determined from the title or abstract).
Document must not have received funding from the tobacco industry.
Document must assess data on ITT that has received funding from the tobacco industry.
Document must clearly identify the data that are being assessed, eg, the source of the data has to be identifiable from the contents of the document.
‘Assess’=to provide an evaluation of tobacco industry data on illicit trade. This could be a positive or negative statement regarding any element of the data such as how it was collected, analysed, presented, etc referring to or citing data without providing any critical comment on it was not considered an assessment of that data. Solely referring to pre-existing critiques of data was also not considered an assessment.
‘Industry-funded data on illicit trade’=any data on illicit tobacco that has been funded fully, or in part, by tobacco companies including industry-commissioned research and research conducted by those that receive industry funding. This includes data that transnational tobacco companies claim as their own or have commissioned, as well as data featured in a newspaper, website, public event or advertising campaign that comes from an industry source.
‘Source’=where the assessed data were taken from. Sources may include industry-commissioned reports, internal industry documents, industry press releases and media reports containing statements made by tobacco companies or their representatives.
These 60 were then read in full for relevance, defined as ‘providing an original assessment of industry data on ITT and clearly identifying the source of the data’ (box 2). Tobacco control experts with an interest in ITT were then asked to review a list of assessments that had been deemed eligible after full-text review, and asked for any additional literature to include in the review and any other experts to contact. Experts identified two additional articles. A total of 35 assessments were included in the review (figure 1, online supplementary appendix 2).
Data extraction and coding
Critical appraisal of the assessments themselves was conducted, considering if they underwent a peer-review process, disclosed funding sources and outlined their methodological approach (see online supplementary appendix 3). Second, using a framework developed by all authors (see online supplementary appendix 4), we coded five key aspects of the industry data (covering characteristics and criticisms/praise of them (table 1)) as detailed in the 35 assessments. This framework, refined after being piloted on a sample of three assessments, was based on existing literature on methods for measuring ITT3 51–53 and Ross’ criteria54 for assessing the quality of estimates on tobacco tax avoidance and evasion.
The critical appraisal and coding processes were recorded in an excel spreadsheet and 100% double-coded, resulting in a mean level of 94% intercoder reliability. All disagreements were documented and fully resolved. As lack of transparency emerged as an over-arching theme within criticisms of industry data, a qualitative overview of transparency-related statements made in assessments (captured using NVivo, a computer software supporting qualitative analyses) was also conducted.
Characteristics of the assessments
Our sample of 35 assessments were all published post-2000. Twenty-five (71%)37 41 44 45 48 55–74 assessed tobacco industry-funded country-level estimates, five (14%)46 47 75–77 assessed region-wide (eg, EU, Asia) estimates and five (14%)1 54 78–80 featured assessments at both regional and country-level. Twenty-one (60%)1 37 41 44–48 54 56 58 59 61 62 64 65 72 73 76 77 80 outlined their methodological approach, 18 (51%)37 41 44–48 56 59 61 64 65 67 72–74 76 77 featured in a peer-reviewed publication and 18 (51%)1 37 41 44–48 54 56 61 62 64 73 74 76 77 79 disclosed their funding source/s.
Characteristics of industry data: geography, data type and analytical method
The most commonly featured countries in the literature were Australia (37)1 41 45 54–60 63 65 68–71 78–80 and the UK (9),1 37 41 74 with region-wide data most often relating to the EU (6)1 46 54 76 77 79 and Asia (5)47 54 75 78 80 (table 2). The data type identified most by assessments was survey (consumer) (21), followed by EPS (8) and sales data (10). Data anlaysis was most often identified as quantitative (unspecified) (31) or unclear (7) (tables 3 and 4, figure 2A and B, online supplementary appendix 5).
Criticisms of industry data
Criticisms of industry data within assessments were classified in nine categories (figure 2C, table 5) and covered all aspects of the data from collection, through to analysis and presentation, as outlined in the following sections: ’Industry-funded estimates of ITT differ substantially from independent data', ’Criticisms of methodological approaches: data collection and analysis' and ’Poor presentation of results'. Only one piece of industry-funded data featured in assessments underwent a peer-review process.81
Industry-funded estimates of ITT differ substantially from independent data
TTC-funded estimates on ITT were identified as being higher than comparable independent data in 31/351 37 41 44–47 54–63 65–67 69–75 77–80 assessments, although one of these found that industry estimates, while higher in 11 countries than comparable independent estimates, were lower in five other countries.77 Only one assessment identified industry estimates as consistent with independent data.64 TTC-funded ITT estimates varied from 17%80 to 133%–337%75 higher than comparable independent estimates.
From assessments that identified discrepancies between industry and independent data, 27 (of 31)1 41 44–47 54–62 65 66 69 70 72–75 77–80 provided explanations for these. These explanations, outlined in sections ’Criticisms of methodological approaches: data collection and analysis', ’Poor presentation of results' and ’Transparency and replicability', were also mentioned in assessments that did not compare industry and independent estimates.
Criticisms of methodological approaches: data collection and analysis
The majority of assessments (29/35) criticised industry-funded data collection.1 37 41 44–48 54–58 60–63 65 66 68–71 75–80 The issues identified primarily focused on the data collection method’s (un)suitability for measuring illicit and failure to provide representative samples (table 5). In particular, assessments criticised the use of EPS, which cannot reliably distinguish between illegal (illicit) and legal forms of non-domestic product (table 3), to measure illicit41 45 46 54 60 80 and consumer surveys, due to both potential under-reporting (table 3) and over-reporting of particular types of illicit trade.
Empty Pack Surveys
EPS were also criticised for focusing on urban areas, where illicit consumption is likely to be higher,54 69 75 78 80 and over-representing litter in public places41 68 and thus packs smoked by those most likely to litter, such as tourists, students41 60 and users of illicit tobacco product.41 Other assessments stated that information required to determine the representativeness of EPS was not provided37 47 61 65 77 and unexplained changes were made during the sampling process.61
Consumer and retailer surveys
Industry-commissioned consumer surveys were criticised for their sampling approach,26 27 48 54 66 69 78 80 82 including relying on non-random samples where participants, already on a market research email database, opt in to conduct an online survey69–71 78 80 and for having low response rates with no attempt to correct for this or to establish the representativeness of the sample.54 55
Assessments identified overlap around terms used in surveys, which may have led to responses being double-counted, for example, counterfeit and contraband.55 56 80 As counterfeit products are a form of contraband (box 1), a survey that asks separately about counterfeit and contraband is likely to lead to the counterfeit product being reported more than once (as both counterfeit and contraband), incorrectly inflating levels of illicit.80 Similarly, because it can be difficult for consumers to differentiate between legal and illicit products (eg, survey respondents may not know the tax-paid status of tobacco products they have purchased and have assumed that cheap cigarettes they had tried were counterfeit or contraband despite this not being the case), consumer surveys may lead to legal consumption being falsely reported as illicit.45 55 57 79
A retailer survey was criticised for how it presented a question regarding illicit tobacco, simply asking if participants had ‘seen, read or heard about’ illicit tobacco products. Given frequent media interest in illicit tobacco, it is likely that respondents would answer yes to this question. Even if this question had been presented differently, surveys of retailer’s perspectives on illicit tobacco availability are not indicators of illicit tobacco trade as perceived availability of illicit products is not evidence of illicit consumption.63
Problems with data analysis
Problems with the analytical process were identified in 22/351 44 46–48 54 55 57 59–61 65 66 68–71 74 75 78–80 of assessments. These included errors in how averages were calculated which would overestimate ITT,68 70 71 not including sensitivity analyses in the modelling to illustrate how estimates might differ if assumptions made in a modelling process changed,65 66 and relying solely on industry data to produce model-estimates44 47 61 79 and cross-validate findings46 54 when other data were available. In one case, it was argued that an industry-funded study, based on econometric modelling (see table 4 for definition), applied assumptions that were unlikely to be accurate.59 In another, a BAT-sponsored website extrapolated illicit estimates from a five-city survey to the whole of Australia, failing to account for likely differences in availability of illicit tobacco between remote Australian towns and major cities thus undermining accuracy.60
One assessment identified a methodological change between KPMG’s 2011 and 2012 Project Star reports, where a pack-based measure was replaced with a cigarette-based measure, leading to an artificially higher estimate compared with previous years.1 In particular, this methodological change was difficult to identify and appears to have been applied just in some countries where novel tobacco control policies were being discussed (eg, standardised packaging in the UK).1
Poor presentation of results
Issues with how findings were presented were identified in 21 (60%) assessments.1 37 44 46 48 54 55 57 58 60 66 67 70 71 73–76 78–80 Some identified TTC-funded reports that lacked confidence intervals or margins of error required to interpret the accuracy and significance of estimates.54 70 71 75 78 Others reported that TTC-funded reports failed to highlight potentially embarrassing findings for TTCs. These include tobacco industry illicit (box 1) comprising the majority of the illicit market in studied regions80 and the identification of substantial reductions in consumption that contradict industry narratives that increased taxation increases ITT.79
Misrepresentation of findings
Assessments identified several examples of data seemingly being deliberately misrepresented in TTC-funded reports or by TTCs directly, whereby data on illicit tobacco were presented as a proportion of total tobacco consumption. This gives the false impression that the illicit market has increased when in absolute terms, both are falling with consumption declining at a faster rate.54 67 This is increasingly problematic, with global consumption expected to continue declining.83 Additional examples include downwards-adjustment of previous estimates to create the impression that illicit trade is growing37 48 and TTCs potentially overclassifying illicit cigarettes as counterfeit.76
Misrepresentation of pre-existing data
Assessments suggested that independent data were misrepresented in tobacco industry reports, with selective presentation of available estimates; with lower estimates not featuring in industry data and reports46 74 84; presented estimates being inconsistent over time73; government estimates being represented through the highest estimates offered rather than the most likely1 and claims citing independent data being indeterminable from the cited data.58
Transparency and replicability
Bringing together the criticisms overall, industry-funded data were criticised for a fundamental lack of transparency at every stage of the research process, from sampling and data collection through analysis to publication of findings. Descriptions of EPS lacked information on sample frames, where and when data were collected, how legal and illegal packs were distinguished or any methodological details at all.1 37 46–48 56 69 75 77 78
Consumer surveys were criticised for not providing response rates,65 68 71 75 important details of the sample population such as smoking characteristics70 and on the wording and sequencing of the questions asked.57 Industry-funded analytical methods were criticised for lacking transparency,46 54 66 75 with the IT flows model, used by International Tax & Investment Center and Oxford Economics,33–35 relying on other models created by Oxford Economics that are not clearly outlined.75 80
As demonstrated in the ’Poor presentation of results' section, assessments also identified a lack of transparency with how their findings and the findings of others were presented. For example, some industry-funded reports highlighted increasing illicit consumption in certain countries within a region while omitting contrary examples from within the same region being researched (table 6).75 80
Findings from this review demonstrate that concerns raised with industry-commissioned reports produced by such organisations are widespread.1 41 44–47 54 60 61 68–71 75–80 Our findings suggest that TTC-funded data routinely overestimate illicit, feature substantial methodological problems and fail to meet the standards of accuracy and transparency that are set by high-quality research publications. The consistency with which these issues have been identified in TTC-funded reports, and a failure for industry-funded reports to make their research more transparent for the purpose of replicability, may indicate that the tobacco industry is deliberately producing misleading data on ITT. Even in cases where suitable independent data were publicly available,54 industry-sourced data such as sales and prevalence figures were used both to produce estimates in industry-commissioned reports and to attempt to cross-validate them.44 46 75
The main strength of this research is that it is the first attempt to systematically identify and review literature that assesses the quality of industry data on ITT. It has made extensive efforts to identify academic research and grey literature, critically appraised this literature before double-coding it in depth, presented findings and relevant contextual information in an accessible manner and provided an overview of ongoing concerns with TTC-funded data on ITT.
However, as only assessments written in English were featured, it is possible that relevant literature in other languages was excluded. Furthermore, the findings of this work are determined by the underlying literature used and may be limited by its accuracy, quality and any potential publication bias. In relation to this last point, while we included all independent assessments (positive or negative), of TTC-funded data it is possible that such assessments focus almost exclusively on data/reports that are problematic.
It is widely recognised that no currently available method for assessing ITT is flawless. It should also be noted that the appropriateness of a method and the usefulness of data resulting from it is dependent on the research question/s being considered by a study. However, the methodologies identified by the assessments can and have been used effectively by multiple non-industry sources. For example, EPS have been the focus of several well-executed measurements of tax avoidance and evasion by independent researchers8–10; much of what is known about adult users of illicit tobacco is based on self-reported information collected through both large population and localised surveys3; econometric modelling has been used extensively to measure ITT, primarily in the USA, for decades3 and a tax gap approach is currently used by the UK government to estimate levels of ITT.11–15
Concerns regarding the representativeness and objectivity of data collection methodologies, errors and mistakes in the data analysis, and poor presentation of results, suggest that the quality of industry data on ITT as a whole is below the expected standard to be considered reliable. Together, all of these problems may help explain the disparity between industry-funded and independent estimates of ITT.
Taken together, this indicates that it is how methods are employed and who employs them that dictates the quality of their output. Improving the reliability of estimates on ITT does not therefore mean rejecting available methodologies but ensuring they are used appropriately and transparently. Our findings suggest that industry-funded research has routinely failed to meet these standards.
Our findings correspond with the tobacco industry’s long history of manipulating research, including its extensive efforts to undermine and cause confusion on science showing the negative health impacts of smoking85 86 and second-hand smoke,87 and suggest that similar strategies are now being used by TTCs in relation to ITT. Despite overwhelming evidence of the TTCs’ historical complicity in tobacco smuggling,43 88–94 the tobacco industry now portrays itself as key to solving the ITT91 and presents its funding of research on ITT as its attempt to reduce the societal burden of illicit trade and organised crime.49 However, this review’s findings demonstrate that the contribution of tobacco industry-funded data on ITT thus far in aiding understanding of ITT is extremely limited, if not counterproductive.
The primary purpose of tobacco industry-funded data on ITT seems to be to serve as a platform for the industry’s lobbying and public relations strategies. With the recent growth in TTC-funded reports on ITT,95–97 their widespread coverage in the media98–100 and the establishment of PMI IMPACT50—putting US$100 million for research on ITT—this situation will only worsen. A similar campaign may now be under way in the field of harm reduction with PMI pledging US$80 million annually for the next 12 years to fund the Foundation for a Smoke-Free World, which claims to ‘advance smoking cessation and harm-reduction science and technology’.101 102
Our findings suggest that a more effective approach to obtaining accurate research on illicit tobacco would be to tax tobacco companies and independently administer the funding thus raised based on previously developed models103 that have been successfully used in Thailand and California.104
In the meanwhile, existing independent assessments make it clear that TTC-funded data on ITT cannot be trusted. By identifying all of the most common criticisms levelled against industry-funded data on ITT, our findings compliment Ross’ criteria for assessing the quality of estimates on tobacco tax avoidance and evasion54 on ITT and can therefore be used as a framework to assess the quality of future TTC-funded studies on the ITT. It is hoped that this will aid others in determining the quality of future TTC estimates in a sufficiently timely manner to contribute to policy debates.
What this paper adds
Transnational tobacco companies (TTCs) produce and publicise data on the illicit tobacco trade (ITT), which is then used to influence policymakers.37–44
This is the first paper to systematically review assessments of TTC-funded data on the ITT.
It finds that TTC-funded data covering multiple world regions routinely exaggerate/overestimate levels of illicit when compared with independent sources and that this is a result of problems at all stages in the research process, with inappropriate usage of methods of data collection and data analysis, misleading presentation of results and a lack of transparency throughout, with information necessary for replication often being excluded.
The review concludes that TTC-funded data on ITT cannot be trusted and argues that if the global scale of the ITT is to be better understood, more high-quality and transparent ITT research is needed, and a potential means for providing this would be a tax on tobacco companies, with a portion of raised funds going towards independent development of established methodologies.
Contributors ABG conceived the idea for the study and all authors participated in its design (eg, inclusion criteria, coding framework). AWAG collected data; AWAG, KAE-R and JLH coded data, and all authors contributed to data analysis. AWAG and KAE-R produced first draft and all authors edited.
Funding This work is supported by CRUK grant no. C50816/A25745. KAE-R and ABG (grant number C27260/A20488) and JLH (grant number C58487/A22731) are supported by Cancer Research UK ww.cancerresearchuk.org. AWAG, KAE-R, JLH and ABG are part of the UK Centre for Tobacco and Alcohol Studies (grant no. MR/K023195/1), a UKCRC Public Health Research Centre of Excellence.
Disclaimer The opinions expressed are those of the authors alone.
Competing interests None declared.
Patient consent Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
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