ArticlePloS one2018
A study on Chinese consumer preferences for food traceability information using best-worst scaling.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Consumer willingness-to-pay for blockchain-based QR code traceability of leafy greens.PloS one · 2025Article
- Assessing patient information needs for new antidiabetic medications to inform shared decision-making: A best-worst scaling experiment in China.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Analyzing Strawberry Preferences: Best-Worst Scaling Methodology and Purchase Styles.Foods (Basel, Switzerland) · 2024Article
- Consumers' Preferences for Apple Production Attributes: Results of a Choice Experiment.Foods (Basel, Switzerland) · 2023Article
- The role of socio-demographic variables and buying habits in determining milk purchasers' preferences and choices.Frontiers in nutrition · 2023Article
- What Intentions and Interesting Information Can Attract Consumers to Scan QR Code While Buying Eggs?Foods (Basel, Switzerland) · 2022Article
- Civil society's perception of forest ecosystem services. A case study in the Western Alps.Frontiers in psychology · 2022Article
- To Buy or Not to Buy? A Research on the Relationship Between Traceable Food Extrinsic Cues and Consumers' Purchase Intention.Frontiers in psychology · 2022Article
- Consumer Trust in Food and the Food System: A Critical Review.Foods (Basel, Switzerland) · 2021Review
- Consumer Attitudes and Preference Exploration towards Fresh-Cut Salads Using Best-Worst Scaling and Latent Class Analysis.Foods (Basel, Switzerland) · 2019Article
- Consumer Preference Heterogeneity Evaluation in Fruit and Vegetable Purchasing Decisions Using the Best-Worst Approach.Foods (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food safety is a global public health issue, which often arises from asymmetric information between consumers and suppliers. With the development of information technology in human life, building a food traceability information sharing platform is viewed as one of the best ways to overcome the trust crisis and resolve the problem of information asymmetry in China. However, among the myriad information available from the food supply chain, there is a lack of knowledge on consumer preference. Based on the best-worst scaling approach, this paper investigated consumer preferences for vegetable, pork, and dairy product traceability information. Specifically, this paper measured the relative importance that consumers place on the traceable information. The results indicate that consumers have varying priorities for information in different cases. "Pesticide/veterinary use," "picking/slaughtering date," and "fertilizer/feed use" are the most preferred traceable information for Chinese consumers in the case of vegetables, while "picking/slaughtering date" and "history of illness and taking protective measures" are the most preferred information in the case of pork. In the case of dairy products, consumers prefer "processing information," "environmental information of the origin," and "traceable tag certification information" most. The results of this study call for the direct involvement of the Chinese government in the food safety information sharing system as following. First, given consumers' diverse preferences, different types of traceable information should be recorded into the information sharing platform depending on food types. Second, the government could promote the step-by-step construction of such a platform based on the priority of consumers' preferences. Third, new technology should be applied to guarantee the reliability of traceable information. Finally, local preferences in terms of the way consumers receive and understand information should be taken into consideration.
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Registered trials
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