Evidence map›Paper›PMID 41897745›Full record

ArticleFoods (Basel, Switzerland)2026

Assessing the Impact of Social and Psychological Factors on Consumers' Willingness to Pay for Low-Carbon Beef: Evidence from Urban China.

Jiajie Li, Yingying Lin, Xinyu Bai

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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

3 authors.

Jiajie LiSchool of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China.ORCID 0000-0002-5738-3984
Yingying LinSchool of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China.
Xinyu BaiSchool of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing anthropogenic greenhouse gas (GHG) emissions across beef production raises critical questions about consumers' acceptance and willingness to pay (WTP) for low-carbon beef. As a purely environmental attribute, low-carbon choices are often driven by social and psychological motivations rather than direct personal benefit. This study aims to identify how the social and psychological factors of warm glow feelings, protest beliefs, and social norms influence Chinese urban consumers' WTP for low-carbon beef. Utilizing survey data from 760 consumers in Beijing, we employed both the double-bounded dichotomous choice contingent valuation method (CVM) and the inferred valuation method (IVM) to assess consumers' own WTP and inferred WTP for low-carbon beef. The results showed that urban Chinese consumers generally indicated a willingness to pay a premium for low-carbon beef with mean own and inferred WTP values at RMB 47 and RMB 45.29 per 500 g, representing premium rates of 17.49% and 13.23%, respectively. Consumers' warm glow feelings, protest beliefs, and social norms significantly influenced their own WTP for low-carbon beef, whereas their inferred WTP was mainly affected by social norms. Consumers' environmental concern had no statistically significant effect on either own WTP or inferred WTP. Policymakers should frame low-carbon beef consumption as a source of personal psychological benefit, mandate transparency regarding the allocation of premium payments of low-carbon beef and establish low-carbon consumption role models within communities.

Indexed as

Chinacontingent valuationinferred valuationlow-carbon beefprotest beliefssocial normswarm glow feelingswillingness to pay

Identifiers

PMID41897745
PMCPMC13025720

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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.