# How labeling of genetically modified foods affects consumers’ purchase intentions: a multi-contextual analysis

**Authors:** Zheng Yang, Yingdi Jiang, Yun Feng, Guoyan Wang

PMC · DOI: 10.1080/21645698.2025.2572191 · GM Crops & Food · 2025-10-08

## TL;DR

This study explores how genetically modified food labeling influences consumer purchase decisions in China, showing that cognitive factors like risk perception and metacognition play key roles.

## Contribution

The study introduces a novel multi-contextual analysis of GM labeling effects in non-Western settings, emphasizing cognitive biases and risk perception.

## Key findings

- Risk perception mediates the relationship between GM labeling and purchase intentions.
- Metacognitive ability significantly moderates the impact of GM labeling on consumer behavior.
- Cognitive typologies influence how consumers process GM labels differently.

## Abstract

As a critical carrier for ensuring consumer right-to-know and facilitating risk communication, the effectiveness of genetically modified (GM) labeling is influenced by cognitive biases, yet its behavioral impact remains underexplored, particularly in non-Western contexts. Through a dual-context online experiment (edible soybean oil vs. non-edible cotton, n = 800) conducted in China, this study examines how GM labeling affects purchase intentions, incorporating the roles of risk perception and moderating effect of metacognitive bias. The results reveal that risk perception mediates this relationship, while metacognitive ability significantly moderates it. More importantly, the results indicate that the audiences with different cognitive characteristics also have diverse cognitive effects and psychological pathways toward similar GM labels. These findings surpass traditional “knowledge-attitude” linear paradigms and further offer practical insights for policymakers: tailored GM labeling regulations and segmented communication strategies should be developed based on cognitive typologies to improve consumer understanding and decision-making.

## Full-text entities

- **Diseases:** Covid-19 (MESH:D000086382), anxiety (MESH:D001007), GM (OMIM:605429)
- **Chemicals:** Soybean oil (MESH:D013024), Edible oil (-)
- **Species:** Carica papaya (mamon, species) [taxon 3649], Solanum tuberosum (potatoes, species) [taxon 4113], Homo sapiens (human, species) [taxon 9606], Glycine max (soybean, species) [taxon 3847], Medicago sativa (alfalfa, species) [taxon 3879], Beta vulgaris subsp. vulgaris (field beet, subspecies) [taxon 3555]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12520122/full.md

## References

92 references — full list in the complete paper: https://tomesphere.com/paper/PMC12520122/full.md

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Source: https://tomesphere.com/paper/PMC12520122