Heterogeneous Consumer Preferences for Nanotechnology and Genetic‐modification Technology in Food Products

Chengyan Yue, Shuoli Zhao, Jennifer Kuzma

Journal of Agricultural Economics · 2014 · 47 citations · 50 references

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Abstract

Abstract This study investigates heterogeneous consumer preferences for nanofood and genetically‐modified ( GM ) food and the associated benefits using the results of choice experiments with 1,117 US consumers. We employ a latent class logit model to capture the heterogeneity in consumer preferences by identifying consumer segments. Our results show that nano‐food evokes fewer negative reactions compared with GM food. We identify four consumer groups: ‘Price Oriented/Technology Adopters’, ‘Technology Averse’, ‘Benefit Oriented’, and ‘New Technology Rejecters’. Each consumer group has a distinctive demographic background, which generates deeper insights into the diversified public acceptance of nano‐food and GM food. Our results have policy implications for the adoption of new food technologies.

References

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