Literature DB >> 31376858

The effect of food price changes on consumer purchases: a randomised experiment.

Wilma E Waterlander1, Yannan Jiang2, Nhung Nghiem3, Helen Eyles2, Nick Wilson3, Christine Cleghorn3, Murat Genç4, Boyd Swinburn5, Cliona Ni Mhurchu2, Tony Blakely6.   

Abstract

BACKGROUND: Most evidence on health-related food taxes and subsidies relies on observational data and effects on single nutrients or foods instead of total diet. The aim of this study was to measure the effect of randomly assigned food price variations on consumer purchasing, where sets of prices emulated commonly discussed food tax and subsidy policies, including a subsidy on fruit and vegetables, a sweetened beverage tax, and taxes on foods according to sugar, sodium, and saturated fat content.
METHODS: In this study, adult participants (≥18 years) in New Zealand completed up to five weekly shops in a virtual supermarket. Each shopping occasion was randomly allocated to control (no change in prices) or one or more pricing options simulating the following: a fruit and vegetable subsidy (20%), a sweetened beverage tax (20% or 40%), a saturated fat tax (NZ$2 per 100 g or $4 per 100 g saturated fat), a salt tax ($0·02 per 100 mg or $0·04 per 100 mg sodium), or sugar tax ($0·40 per 100 g or $0·80 per 100 g sugar). The primary outcome was the healthiness of the total shopping basket for each weekly shop (% of total unit food items defined as healthy). Low and high price change options were combined in analyses (eg, results for a saturated fat tax are an average of $2 per 100 g or $4 per 100 g).
FINDINGS: Between Feb 1, and Dec 1, 2016, we randomly assigned 1132 shoppers, of whom 1038 (91·7%) completed at least one shop and 743 (71·6%) completed all five shops. Overall, data from 4258 shops were included in the analysis, including 645 control shops, 2545 shops where one policy was activated, and 1068 shops with two (or more) policies activated. In the control condition, 67·90% (SD 13·01) of food purchases were classified as healthy. Three of the five policies increased this proportion by a small, but significant amount (saturated fat tax mean absolute difference 1·77%, 95% CI 1·03 to 2·52, p<0·0001; sugar tax 1·09%, 0·26 to 1·91, p=0·0099; and salt tax 1·31%, 0·50 to 2·13, p=0·0016). The sweetened beverage tax and fruit and vegetable subsidy resulted in non-significant increases of 0·18% (95% CI -0·49 to 0·85, p=0·60) and 0·41% (-0·26 to 1·07, p=0·23), respectively. Both the saturated fat tax and salt tax resulted in the following important substitution effects: an increase in fruit and vegetable purchases as a percentage by weight of all food purchases (saturated fat tax 4·0%, 0·9 to 7·1; salt tax 4·3%, 0·9 to 7·7); but also an increase in sugar as a percentage of total energy (saturated fat tax 5·0%, 2·1 to 7·9; salt tax 3·2%, 0·0 to 6·5). Interaction terms for combined policies were mostly non-significant, consistent with additive effects of policy combinations.
INTERPRETATION: Price changes representing saturated fat, sugar, and salt taxes increased total healthy food purchases. As we observed important substitution effects, a combination of different tax and subsidy policies might be the most effective way to improve diets and decrease diet-related chronic diseases. FUNDING: Health Research Council of New Zealand.
Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Year:  2019        PMID: 31376858     DOI: 10.1016/S2468-2667(19)30105-7

Source DB:  PubMed          Journal:  Lancet Public Health


  8 in total

Review 1.  Do taxes on unhealthy foods and beverages influence food purchases?

Authors:  Gary Sacks; Janelle Kwon; Kathryn Backholer
Journal:  Curr Nutr Rep       Date:  2021-04-30

2.  Effectiveness and Feasibility of Taxing Salt and Foods High in Sodium: A Systematic Review of the Evidence.

Authors:  Rebecca Dodd; Joseph Alvin Santos; Monique Tan; Norm R C Campbell; Cliona Ni Mhurchu; Laura Cobb; Michael F Jacobson; Feng J He; Kathy Trieu; Sutayut Osornprasop; Jacqui Webster
Journal:  Adv Nutr       Date:  2020-11-16       Impact factor: 8.701

3.  A Standardized Guide to Developing an Online Grocery Store for Testing Nutrition-Related Policies and Interventions in an Online Setting.

Authors:  Pasquale E Rummo; Isabella Higgins; Christina Chauvenet; Annamaria Vesely; Lindsay M Jaacks; Lindsey Taillie
Journal:  Int J Environ Res Public Health       Date:  2021-04-24       Impact factor: 3.390

4.  Can counter-advertising diminish persuasive effects of conventional and pseudo-healthy unhealthy food product advertising on parents?: an experimental study.

Authors:  Helen Dixon; Maree Scully; Claudia Gascoyne; Melanie Wakefield
Journal:  BMC Public Health       Date:  2020-11-25       Impact factor: 3.295

5.  Food consumption in the Canary Islands: nutritional implications of food imports and local production.

Authors:  Dirk Godenau; Gloria Martin-Rodriguez; Jose Ignacio Gonzalez-Gomez; Jose Juan Caceres-Hernandez
Journal:  BMC Public Health       Date:  2022-02-27       Impact factor: 3.295

Review 6.  Sugar-sweetened beverages, effects on appetite and public health strategies to reduce the consumption among children: a review.

Authors:  Daniela Costa; Sarah Warkentin; Andreia Oliveira
Journal:  Porto Biomed J       Date:  2022-02-08

7.  Potential effect of real-world junk food and sugar-sweetened beverage taxes on population health, health system costs and greenhouse gas emissions in New Zealand: a modelling study.

Authors:  Leah Grout; Anja Mizdrak; Nhung Nghiem; Amanda C Jones; Tony Blakely; Cliona Ni Mhurchu; Christine Cleghorn
Journal:  BMJ Nutr Prev Health       Date:  2022-02-07

8.  Modelling the health impact of food taxes and subsidies with price elasticities: The case for additional scaling of food consumption using the total food expenditure elasticity.

Authors:  Tony Blakely; Nhung Nghiem; Murat Genc; Anja Mizdrak; Linda Cobiac; Cliona Ni Mhurchu; Boyd Swinburn; Peter Scarborough; Christine Cleghorn
Journal:  PLoS One       Date:  2020-03-26       Impact factor: 3.240

  8 in total

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