Evidence map›Paper›PMID 39200524›Full record

ArticleFoods (Basel, Switzerland)2024

Consumer Perception of Food Safety and Valuation of Statistical Life: A Contingent Valuation Study.

Bingjie Liu, Yinuo Na, Yi Li, Dan Wang, Xin Zhang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Bingjie LiuDepartment of Health Economics, Harbin Medical University, Harbin 150000, China.
Yinuo NaDepartment of Health Economics, Harbin Medical University, Harbin 150000, China.
Yi LiDepartment of Health Economics, Harbin Medical University, Harbin 150000, China.ORCID 0000-0001-8449-6522
Dan WangDepartment of Health Economics, Harbin Medical University, Harbin 150000, China.
Xin ZhangDepartment of Health Economics, Harbin Medical University, Harbin 150000, China.ORCID 0000-0003-1383-9617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The value of statistical life (VSL) reflects the trade-off between money and the risk of death. It is a key indicator for conducting regulatory impact assessments. The main purpose of this study was to estimate the VSL in the field of food safety. At the same time, it investigates respondents' willingness to pay (WTP) for reducing the risk of death from foodborne illnesses and explores the impact of factors such as the average household monthly income, health status, and education level on WTP. We conducted a survey using an open-ended contingent valuation method among 1307 respondents aged 18 and above to determine their WTP. Based on the WTP survey results, we calculated the VSL in the food safety sector. We used binary logit and Tobit models to analyze the influencing factors. The results of the study show that the median WTP for reducing the risk of foodborne illness is CNY 100 (USD 16), and the estimated VSL is approximately CNY 9.09 million (USD 141 million). Indicators such as the average household monthly income, health status, and education level are important factors affecting WTP. This study will help practitioners, researchers, and policymakers understand the current population's attitudes towards food safety regulations and determine the priorities for regulatory implementation. Future research can explore the effects of different elicitation methods, cultural differences, and regional variations on WTP and VSL.

Indexed as

contingent valuationfood safetyvalue of statistical lifewillingness to pay

Identifiers

PMID39200524
PMCPMC11353710

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.