Evidence map›Paper›PMID 40646349›Full record

ArticleNature food2025

Food price elasticity estimates in Australia.

Tazman Davies, Akshar Saxena, Jason H Y Wu, Matti Marklund

Abstract read
In one paragraph

Article in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Tazman DaviesThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia. tdavies@georgeinstitute.org.au.ORCID http://orcid.org/0009-0005-8220-0376
Akshar SaxenaDivision of Economics, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0001-8518-0466
Jason H Y WuThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-2073-3562
Matti MarklundThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fiscal food policies can be used, among others, to minimize the burden of diet-related diseases. To inform the design of such policies in Australia, we used the large grocery-purchasing dataset NielsenIQ Homescan to estimate own-price elasticities and cross-price elasticities for 18 food categories. We found that households were most responsive to changes in price for non-sugar-sweetened beverages and sugar-sweetened beverages: a 10% increase in price was associated with reductions in demand of 15% and 12%, respectively. Additionally, an increase in the price of one category was associated with relatively small changes in the quantity demanded for other categories (that is, 92% of cross-price elasticities had an absolute value <0.2). There were small differences in own-price and cross-price elasticities across socioeconomic quintiles. These price elasticity estimates can be used to model the health and equity impacts of fiscal food policies in Australia.

Indexed as

CommerceFoodNutrition PolicyAustraliaBeveragesHumansSocioeconomic Factors

Identifiers

PMID40646349
PMCPMC12283402

What OpenQuestion holds

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LicenceCC BY
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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.