| Literature DB >> 27649386 |
Selda Ulucanlar1, Gary J Fooks2, Anna B Gilmore1.
Abstract
BACKGROUND: Tobacco industry interference has been identified as the greatest obstacle to the implementation of evidence-based measures to reduce tobacco use. Understanding and addressing industry interference in public health policy-making is therefore crucial. Existing conceptualisations of corporate political activity (CPA) are embedded in a business perspective and do not attend to CPA's social and public health costs; most have not drawn on the unique resource represented by internal tobacco industry documents. Building on this literature, including systematic reviews, we develop a critically informed conceptual model of tobacco industry political activity. METHODS ANDEntities:
Mesh:
Year: 2016 PMID: 27649386 PMCID: PMC5029800 DOI: 10.1371/journal.pmed.1002125
Source DB: PubMed Journal: PLoS Med ISSN: 1549-1277 Impact factor: 11.069
The number of papers from the two systematic reviews included in the analysis by geographic location and topic.
| Geographic location | Taxation | Marketing |
|---|---|---|
| N America/ Europe/Australasia | 39 | 10 |
| S America | - | 3 |
| Asia | 5 | 4 |
| Africa | 1 | - |
| Transnational | - | 4 |
| Total | 45 | 20 |
| Marketing and taxation duplicate papers | 4 | |
| Total | 65 | |
* Time period covered in systematic review—taxation: 1985–2010; marketing: 2003–2013.
** Total number of papers reaches only 65 rather than 69 because 4 papers featured in both the taxation and marketing systematic reviews, although different sections were analysed for the two topics.
Tobacco industry preferred outcomes for tobacco control policies with examples.
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| In Uzbekistan, British American Tobacco (BAT) succeeded in replacing planned tobacco control legislation with a voluntary advertising code (1994) [ |
| A US state bill to raise cigarette tax, initially supported by the leadership of both the House and the Senate, was passed with a majority vote in the former but defeated in the latter after intense lobbying by the tobacco industry (1985) [ |
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| A proposed tax increase was blocked in a US state senate for almost a whole legislative session (1981) [ |
| TTCs delayed the introduction of large pack health warnings in Canada by 11 months by invoking international trade agreements (1993) [ |
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| Malaysia’s first comprehensive tobacco control legislation was watered down as a result of industry lobbying (1994) [ |
| In Arizona, US, tobacco use prevention programmes were limited to narrow groups (e.g., young people, pregnant women), reducing their reach and effectiveness (1995) [ |
| In Florida and Oregon, US, crippling amendments reduced the effectiveness of clean indoor air legislation and tobacco tax rises, respectively (1990; 1997) [ |
| The industry voluntarily adopted weak European Economic Community health warnings to avoid stronger ones in Australia (1992) [ |
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| Preemption: this was used in the US to restrict the legal authority of lower-level local jurisdictions to pass strong tobacco control laws once a bill was passed in the higher state legislature (1980s through 1990s) [ |
| Agreement: a South Carolina, US, policy organisation in alliance with the tobacco industry secured pledges from legislators and public health groups not to seek tax rises or tobacco control policies (1993–1994) [ |
| Infrastructural interference: Philip Morris sought to change state laws in Colorado, US, to make ballot initiation (for tobacco control bills) by the public more difficult (1994) [ |
| Self-regulation: the industry sought voluntary marketing codes and youth education programmes to thwart effective regulation in many countries (1992–2005) [ |
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| The tobacco industry worked for the passage of legislation to overturn previously enacted tobacco control legislation including tobacco-related Medicaid legislation in Florida 1999 [ |
| In Lebanon, a decree banning advertisement was suspended after Philip Morris lobbied ministers (1980) [ |
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| Noncompliance: when entering the Czechoslovakia market, Philip Morris ignored preexisting advertising bans and placed large advertisements in public spaces (1993) [ |
| Circumvention: when advertising was banned in Malaysia, TTCs set up companies for nontobacco products (e.g., fashion, music) in order to advertise indirectly using brand slogans and colours (1982) [ |
| In Colorado, US, the industry lobbied the legislature to divert earmarked tax funds away from effective tobacco control policies to education and nursing services (2003) [ |
Taxonomy of discursive strategies and arguments used to construct policy dystopia.
| Discursive strategy | Domain | Argument | Voice | Instance in dataset | |
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| The economy | Policy will lead to lost sales/jobs | Economist | [ | |
| Policy will lead to lost/unreliable tax revenue | Economist | [ | |||
| Law enforcement | Policy will increase illicit trade | Law enforcer | [ | ||
| Policy will criminalise the public | Criminologist | [ | |||
| The law | Breach of intellectual property laws | Corporate lawyer | [ | ||
| Breach of trade agreements | Trade lawyer | [ | |||
| Public body acting beyond jurisdiction | Administrative lawyer | [ | |||
| Politics/ Governance | Government is anti-free-enterprise | Concerned citizen/Business owner | [ | ||
| Nanny state/slippery slope | Concerned citizen | [ | |||
| Government is unreasonable/unaccountable | Concerned citizen/Public ethicist | [ | |||
| Social justice | Policy is unfair to smokers | Public ethicist | [ | ||
| Policy is regressive | Social reformer | [ | |||
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| Smugglers will profit | Concerned citizen/Public ethicist | [ | ||
| Big business will profit | Concerned citizen/Public ethicist | [ | |||
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| Policy will be counterproductive | Public health policy analyst | [ | ||
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| There is not (good) enough evidence | Scientist | [ | ||
| Policy will not work | Public health policy analyst | [ | |||
| Policy is not needed | Public health policy analyst | [ | |||
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| Policy will lead to reduced sales/jobs | Business owner | [ | ||
| Cost of compliance will be high | Business owner | [ | |||
Taxonomy of instrumental strategies and techniques used.
| Instrumental strategy | Technique | Instance in dataset | ||
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| Constituency recruitment | Internal (tobacco companies and their staff) | [ | |
| External | [ | |||
| Constituency fabrication | [ | |||
| Constituency fragmentation | [ | |||
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| Production | Producing a skewed evidence base as corroboration for projected policy failure | [ | |
| Intelligence gathering | [ | |||
| Amplification | Wide dissemination of industry-sponsored information/evidence | [ | ||
| Disseminating misleading/confounding information | [ | |||
| Suppression | Contesting/suppressing public health evidence | [ | ||
| Silencing public health opponents | [ | |||
| Credibility | Fronting: concealing industry links to information/evidence | [ | ||
| Reputation management | Rehabilitating industry reputation | [ | ||
| Discrediting public health advocates | [ | |||
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| Access | [ | ||
| Incentives and threats | [ | |||
| Actor in legislative processes | [ | |||
| Actor in government decision-making | [ | |||
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| Legal action to contest/obstruct legislation/regulation | [ | ||
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| Facilitating/conducting smuggling | [ | ||
Information management.
| Sources/Producers of information | Types/Formats of information produced | Topics covered | Audiences/Users targeted |
|---|---|---|---|
| • Tobacco companies/industry associations | • Fact sheets/leaflets/booklets | • Economic/market baseline information | • Tobacco company staff |
Fig 1Policy Dystopia Model.
Dystopian narratives (light blue box) are constructed and transmitted through instrumental strategies (purple boxes) to achieve preferred policy outcomes (dark blue box). The three key instrumental strategies, coalition management, information management, and direct involvement in decision-making, have recursive relations, reinforcing their effectiveness. Subsidiary strategies, illicit trade, and litigation feed into information management by increasing credibility of messages; litigation also directly impacts policy outcomes by stopping adoption or implementation of policies.