Evidence map›Paper›PMID 42352798›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

The Impact of Anthropomorphic Eco-Friendly Logos on Consumers' Green Purchase Intention: A Moderated Mediation Model.

Yi An, Ji Xu, Dingbang Luh, Tiansheng Xia, Yibing Chen

Abstract read
In one paragraph

Article in Behavioral sciences (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

5 authors.

Yi AnSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.
Ji XuSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.
Dingbang LuhSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.
Tiansheng XiaSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-6943-2958
Yibing ChenSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China.

Funding

National Social Science Fund 24FJKB021
6 · The paper itself

Abstract

Anthropomorphism is a widely used marketing strategy, yet less is known about how baby-schema anthropomorphic cues embedded in eco-friendly logos function as compact visual identity cues to promote consumers' green purchase intention through positive emotional attribution. Drawing on baby-schema theory and mental-state attribution, we examine the impact of anthropomorphic eco-friendly logos on green purchase intention, the mediating roles of perceived love and perceived hope, their sequential pathway, and the moderating effect of environmental attitude. A within-subjects study was conducted with 299 valid participants in China, using established and adapted scale items for data collection. Our results demonstrated that anthropomorphic eco-friendly logos significantly enhanced green purchase intention. Perceived love and perceived hope each mediated this relationship, and the sequential pathway from perceived love to perceived hope was also significant. Moreover, environmental attitude positively moderated the link between anthropomorphic logos and perceived love, with a stronger effect among consumers with higher pro-environmental attitudes. These findings highlight a positive emotional attribution mechanism through which anthropomorphic eco-friendly logo cues promote green consumption and clarify the boundary role of environmental attitude.

Indexed as

anthropomorphismeco-friendly logosenvironmental attitudegreen purchase intentionperceived hopeperceived love

Identifiers

PMID42352798
PMCPMC13295740

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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.