Evidence map›Paper›PMID 36141047›Full record

ArticleFoods (Basel, Switzerland)2022

Effect of Consumption Value on Consumer Willingness to Consume GM Food: A Post-COVID-19 Analysis.

Muhammad Ghufran, Jawaria Ashraf, Sumran Ali, Peng Xiaobao, Luigi Aldieri

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Muhammad GhufranDepartment of Economic and Statistical Sciences, University of Salerno, 84084 Fisciano, Italy.
Jawaria AshrafSchool of Public Affairs, University of Science and Technology of China (USTC), Hefei 230026, China.
Sumran AliSchool of Management, University of Science and Technology of China (USTC), Hefei 230026, China.ORCID 0000-0003-3957-6114
Peng XiaobaoSchool of Public Affairs, University of Science and Technology of China (USTC), Hefei 230026, China.ORCID 0000-0003-2399-192X
Luigi AldieriDepartment of Economic and Statistical Sciences, University of Salerno, 84084 Fisciano, Italy.ORCID 0000-0001-9300-6804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this research, we debate the critical challenges posed by the COVID-19 pandemic such as food scarcity, by examining the influence of consumption values on consumers' willingness to consume genetically modified (GM) food in the presence of consumer food attitudes, animosity, and ethnocentrism, which could be the one possible option to deal with the food scarcity problem. The proposed relationship could help to understand the complex societal problem of food scarcity and import dependency in the food sector before and after the crisis. Therefore, based on the theory of consumption values, we investigated government actions, consumer attitudes, and their willingness to consume GM food through 1340 valid USA responses and 1065 Chinese responses. We observed that COVID-19 doubled the number of malnourished people in 2020 relative to 2019, while consumption values, to some extent, changed consumer food attitudes and were inclined toward other food alternatives such as GM food regardless of governmental support for GM food in both USA and China. Moreover, this research enables governments, policymakers, market practitioners, and other stakeholders to use the COVID-19 crisis as an opportunity to negotiate with other countries to share their food technology along with imports.

Indexed as

Chinaconsumer animosityconsumer ethnocentrismconsumption valuesfood attitudeUSA

Identifiers

PMID36141047
PMCPMC9498517

What OpenQuestion holds

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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.