2018
DOI: 10.1371/journal.pone.0206793
|View full text |Cite
|
Sign up to set email alerts
|

A study on Chinese consumer preferences for food traceability information using best-worst scaling

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-w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
25
0
7

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 38 publications
(38 citation statements)
references
References 32 publications
(54 reference statements)
0
25
0
7
Order By: Relevance
“…This method is also called “maximum difference scaling”, because the chosen attributes should maximize the difference in utility made by a respondent on a preference scale. Finally, the BWS rating scales create an orderly ranking of items, explaining the level of relative importance appointed by each respondent for the single attribute using the average BW raw score (A-RS) or standard score [30,71,72]. This is calculated by dividing the BW score (best minus worst) [32] by the number of observations and the frequency that each attribute appeared in the four questionnaire versions.…”
Section: Methodsmentioning
confidence: 99%
“…This method is also called “maximum difference scaling”, because the chosen attributes should maximize the difference in utility made by a respondent on a preference scale. Finally, the BWS rating scales create an orderly ranking of items, explaining the level of relative importance appointed by each respondent for the single attribute using the average BW raw score (A-RS) or standard score [30,71,72]. This is calculated by dividing the BW score (best minus worst) [32] by the number of observations and the frequency that each attribute appeared in the four questionnaire versions.…”
Section: Methodsmentioning
confidence: 99%
“…Producer and traceability information (Table , checklist clauses 2 and 3) and advertisement are safety devices for reverse tracing when microbial/chemical hazards occur to prevent further harm, deduce causes, and take rapid actions (Adams, ; Liu et al, ; Mao, Wang, Hao, & Li, ; Meyerding, ; Russo & Tufi, ; Tibola, da Silva, Dossa, & Patricio, ; Tinacci et al, ). Eco‐friendliness, agricultural quality control, and geographical information and certifications (Table , checklist clauses 3 and 6) secure the economic value of food and relate to consumers’ preferences (Liu et al, ; MAFRA & MOF, ; Park, Kim, You, You, Kim, et al, ). Various advertisements and marketing strategies may exist, but excessive wording or unscientifically proven facts (Table , checklist clause 7) threaten consumers’ health and rights (Hawkes, ; Smithers, Lynch, & Merlin, ).…”
Section: Methodsmentioning
confidence: 99%
“…Violations of the geographical indication of food products or ingredients (27.37%), false advertisements (e.g., inappropriate functionality of products; 25.26%), and national certification information (16.84%) were the highest (Table 2, Figure 3a). Geographical indication, advertisement, and identification of certification were directly related to the foods' economic value (Liu et al, 2018). Meanwhile, although onsite audits were conducted on three occasions, there was no particular pattern or regularity for nonconformities ( Figure 3a).…”
Section: Nonconformity In Fieldmentioning
confidence: 99%
See 2 more Smart Citations