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

Chengyan Yue, Shuoli Zhao, Jennifer Kuzma

Research output: Contribution to journalArticle

26 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)308-328
Number of pages21
JournalJournal of Agricultural Economics
Volume66
Issue number2
DOIs
StatePublished - Jun 1 2015

Keywords

  • Choice experiment
  • Genetic-modification
  • Latent class models
  • Nanotechnology

Fingerprint Dive into the research topics of 'Heterogeneous Consumer Preferences for Nanotechnology and Genetic-modification Technology in Food Products'. Together they form a unique fingerprint.

  • Cite this