ArticleFoods (Basel, Switzerland)2024
Consumer Preference and Willingness to Pay for Rice Attributes in China: Results of a Choice Experiment.
Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Review
- How does agricultural product quality and safety regulation drive agricultural economic growth: a quasi-natural experiment from China's agricultural product quality and safety county pilot policy.Scientific reports · 2026Article
- Year-independent prediction of rice grain protein content using machine learning with agronomy-aligned multi-year field data.Frontiers in plant science · 2026Article
- Development of Organic Sourdough Bread with Paste from Germinated Seeds.Foods (Basel, Switzerland) · 2025Article
- Implementing marker covariates and multi-trait genomic selection models to improve grain milling, appearance, cooking, and edible quality in rice (Oryza sativa L.).The plant genome · 2025Article
- Consumer Preferences for Low-Amylose Rice: A Sensory Evaluation and Best-Worst Scaling Approach.Foods (Basel, Switzerland) · 2025Article
- The Impact of Sensory Perceptions and Country-of-Origin Practices on Consumer Preferences for Rice: A Comparative Study of China and Thailand.Foods (Basel, Switzerland) · 2025Article
- Consumer Willingness to Pay for Food Products Enriched with Brewers' Spent Grain: A Discrete Choice Experiment.Foods (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Understanding urban consumers' preferences for rice attributes is crucial for rice breeders, producers, and retailers to meet diverse and evolving market demands. Based on the sample data of 629 rice consumers in Shanghai, China, obtained through the choice experiment (CE) approach, this study uses the mixed logit (ML) model to analyze consumers' preferences and willingness to pay (WTP) for food safety labels, brands, nutritional quality, and taste quality. Furthermore, the latent class (LC) model examines the heterogeneity in consumer group preferences. The research findings highlight that consumers prioritize taste quality as the most crucial attribute, followed by nutritional quality, food safety labels, and brand attributes. The premium rates for superior taste quality, organic certification labels, and green certification labels exceeded 100%. Interestingly, while combining organic certification with well-known international or domestic brands does not uniformly boost consumer preferences, incorporating green certification alongside well-known international or domestic brands significantly elevates those preference levels. Factors such as the external environment, consumption habits, and personal characteristics significantly influence individuals' preferences for rice attributes. Based on these insights, the study puts forth policy recommendations for rice breeders, producers, and retailers.
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