Evidence map›Paper›PMID 38941301›Full record

ArticlePloS one2024

The influence of traceability label trust on consumers' traceability pork purchasing behavior: Based on the moderating effect of food safety identification.

Zengjin Liu, Zhuo Yu, Jing Zhao, Xibing Han, Caixia Li, Ning Geng, Meilian Yu

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zengjin LiuShanghai Academy of Agricultural Sciences, Shanghai, China.ORCID 0000-0002-5871-0086
Zhuo YuSchool of Management, Ocean University of China, Qingdao, Shandong, China.
Jing ZhaoSchool of Management, Ocean University of China, Qingdao, Shandong, China.
Xibing HanCollege of Public Administration, Shandong Normal University, Jinan, China.
Caixia LiFaculty of Environmental Science, Nagasaki University, Nagasaki, Japan.
Ning GengCollege of Public Administration, Shandong Normal University, Jinan, China.
Meilian YuShanghai Academy of Agricultural Sciences, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on 908 consumer questionnaire data from 15 urban areas in Shanghai, we use the binary logit model to empirically analyze the impact of traceability label trust on consumers' traceable pork purchase behavior and the moderating effect of food safety identification. After constructing the theoretical analysis framework, this paper verifies it from the two aspects of statistical analysis and econometric analysis and tests the robustness of the final results. The results show that: first, traceability label trust has a significant positive impact on consumers' traceability pork behavior. Second, food safety identification can significantly strengthen and promote this process. Third, consumers' purchasing behavior is significantly positively affected by traceable pork consumption scenarios and price labels, but the permanent elderly in the composition of family members significantly negative impact on it. Therefore, we put forward relevant policy suggestions, such as strengthening the knowledge popularization and publicity based on the advantageous commodity attributes of traceable pork, carrying out food safety knowledge popularization education, and enhancing consumers' risk perception and food safety identification ability.

Indexed as

Consumer BehaviorFood LabelingFood SafetyTrustAdultAgedAnimalsChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesSwineYoung Adult

Identifiers

PMID38941301
PMCPMC11213355

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.