Factors Affecting Consumer Willingness to Pay for Certified Traceable Food in Jiangsu Province of China
Bibliographic record
Abstract
Using data collected from a survey conducted in Jiangsu Province, China, we study consumer perceptions of and attitudes toward food traceability systems (FTS). Through econometric analysis, we examine the main factors that influence the willingness of consumers to pay a price premium for certified traceable food, as well as the actual premium these consumers are willing to bear. Our results indicate that an overwhelming majority of consumers in China are concerned about food safety, but consumers’ willingness to pay (WTP) a price premium for certified traceable food is limited. Income, education, perception of and attitudes toward FTS, as well as the degree of concern over food safety, have significant effects on the consumer's WTP a price premium for certified traceable food. However, the effects of these factors on the actual premium a consumer is willing to pay are quite different. Conditioned on the consumer being willing to pay a positive price premium, income level and the degree of concern over food safety are the only two factors that have significant effects on the actual premium consumers are willing to pay. À partir de données tirées d’un sondage mené dans la province du Jiangsu, en Chine, nous avons étudié la perception et l’attitude des consommateurs envers les systèmes de traçabilité des aliments. À l’aide d’analyses économétriques, nous avons examiné les principaux facteurs qui influencent le consentement des consommateurs à payer un prix supérieur pour des aliments dont la traçabilité est certifiée ainsi que le prix réel qu’ils sont prêts à payer. Les résultats de notre étude indiquent qu’une très grande majorité de consommateurs en Chine sont préoccupés par la sécurité alimentaire, mais que leur consentement à payer un prix supérieur pour des aliments dont la traçabilité est certifiée est limité. Le revenu, le niveau de scolarité, la perception et l’attitude envers les systèmes de traçabilité, de même que le degré de préoccupation concernant la sécurité alimentaire, ont des effets considérables sur le consentement des consommateurs à payer un prix supérieur pour des aliments dont la traçabilité est certifiée. Toutefois, les effets de ces facteurs sur le prix réel qu’un consommateur est prêt à payer sont très différents. Lorsque des consommateurs consentent à payer un prix supérieur, le niveau de revenu et le degré de préoccupation concernant la sécurité alimentaire sont les deux seuls facteurs qui influencent fortement le prix réel qu’ils sont prêts à payer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".