Abstract
Genetic engineering techniques are emerging as crucial tools for addressing global food challenges. Consumer resistance however remains a major barrier to their adoption. This study explores whether framing genetical engineered foods around specific food values can increase consumers’ acceptance and willingness to pay. Using a random effects interval regression model to analyze data from 1,000 Italian consumers across five staple foods, we find that food value-based messaging significantly influences attitudes and willingness to pay. This study presents an innovative approach to reducing resistance to genetic engineering techniques, highlighting the strategic role of food values in science communication and policy-making.
Data availability
The dataset analysed during the current study is available from the corresponding author on reasonable request.
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Funding
This study was carried out within the Agritech National Research Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)—MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4—D.D. 1032 17/06/2022, CN00000022). This manuscript reflects only the authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for them.
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R.S. and G.P. wrote the main manuscript text. K.Y. performed statistical analysis. R.N. validated the experimental design and the entire study. All authors reviewed the manuscript.
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All procedures were performed in accordance with relevant guidelines and regulations (e.g., Italian GDPR 2016/679 and Declaration of Helsinki). Approval to conduct this study was granted by the departmental Ethical Committee of the Catania University. They confirmed that for economic stated-preference research formal ethical approval was not required, as the study involved no risks or monetary transactions. Written informed consent was obtained from all participants prior to their inclusion in the study.
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Selvaggi, R., Yagi, K., Pappalardo, G. et al. Public acceptance for genetic engineering techniques: the role of food values-based information. Sci Rep (2026). https://doi.org/10.1038/s41598-026-37892-2
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DOI: https://doi.org/10.1038/s41598-026-37892-2