Evidence map›Paper›PMID 32224445›Full record

ArticleEconomics and human biology2020

The impact of UK soft drinks industry levy on manufacturers' domestic turnover.

Cherry Law, Laura Cornelsen, Jean Adams, David Pell, Harry Rutter, Martin White, Richard Smith

Abstract read
In one paragraph

Article in Economics and human biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Cherry LawFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, United Kingdom. Electronic address: cherry.law@lshtm.ac.uk.
Laura CornelsenFaculty of Public Health & Policy, London School of Hygiene & Tropical Medicine, United Kingdom.
Jean AdamsCentre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, United Kingdom.
David PellCentre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, United Kingdom.
Harry RutterDepartment of Social & Policy Sciences, University of Bath, United Kingdom.
Martin WhiteCentre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge, United Kingdom.
Richard SmithCollege of Medicine & Health, University of Exeter, United Kingdom.

Funding

Department of Health 16/130/01Department of Health 16/49/01Department of Health PHR/16/130/01Medical Research Council MR/K023187/1Medical Research Council MR/P021999/1
6 · The paper itself

Abstract

In March 2016, the UK government announced the Soft Drinks Industry Levy (SDIL) which came into effect in April 2018. In common with the reaction to sugar-sweetened beverage (SSB) taxes in other countries, the SDIL announcement was met with strong industry opposition, with claims that it would harm their profits. The SDIL was designed to incentivise reformulation of SSBs by providing a 2-year delay between the announcement and the enforcement of the levy, and adopting a two-tiered rate based on the sugar content of the drinks. Using interrupted time series analysis, this paper examines how the domestic turnover of UK soft drinks manufacturers changed after the announcement and the implementation of the SDIL. Our results show some evidence of a short-term negative impact of the SDIL announcement on the domestic turnover of the UK soft drinks manufacturers. This effect, however, did not continue post-implementation. These findings suggest that manufacturers were, to a large extent, able to mitigate the effects of levy before it came into effect.

Indexed as

Carbonated BeveragesFood IndustryHumansInterrupted Time Series AnalysisTaxesUnited KingdomSoda taxSoft drinks industry levySugarTax impact

Identifiers

PMID32224445
PMCPMC7615081

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.