Evidence map›Paper›PMID 36010460›Full record

ArticleFoods (Basel, Switzerland)2022

Paying for the Greater Good?-What Information Matters for Beijing Consumers' Willingness to Pay for Plant-Based Meat?

Hongsha Wang, Qihui Chen, Chen Zhu, Jiale Bao

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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.

Hongsha WangCollege of Economics and Management, China Agricultural University, Beijing 100083, China.
Qihui ChenBeijing Food Safety Policy & Strategy Research Base, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-0944-0470
Chen ZhuCollege of Economics and Management, China Agricultural University, Beijing 100083, China.
Jiale BaoCollege of Economics and Management, China Agricultural University, Beijing 100083, China.

Funding

National Natural Science Foundation of China 71973134Social Science Foundation of Beijing Municipality 19JDYJB029
6 · The paper itself

Abstract

Promoting the transition from animal meat to plant-based food consumption has significant benefits for public health and environmental sustainability. This study, involving 526 consumers from Beijing, China, explores how food attributes and information may affect consumers' food choices concerning plant-based meat products. A discrete choice experiment was conducted using burgers with five attributes (meat patties, flavor, sodium content, energy, and price) as the focal product. Separate messages on nutrition, food safety, and the environmental issues related to plant-based meat consumption were also randomly provided to consumers to help examine the role of information. Our findings suggest that Beijing consumers' awareness of plant-based meat is relatively low at present, and they show a negative preference toward plant-based meat consumption relative to that of conventional meat. However, consumers' willingness to pay for plant-based meat significantly increased after nutrition information was provided, but it was not responsive to the provision of food safety or environmental information. These findings suggest that to promote plant-based meat consumption, information closely related to consumers' personal interests rather the "greater good" should be provided, at least in the context of Beijing, China.

Indexed as

choice experimentfood attributesinformation shockplant-based meatsustainable food consumptionwillingness to pay

Identifiers

PMID36010460
PMCPMC9407303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.