Evidence map›Paper›PMID 42079466›Full record

SynthesisF1000Research2024

Consumer responses and determinants in geographical indications agricultural product consumption: A ten-year systematic review.

Ailin Tan, Sharizal Bin Hashim, Jiaqi Zuo, Jianyu Cheng

Abstract readSystematic Review
In one paragraph

Synthesis in F1000Research, 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

4 authors.

Ailin TanFaculty of Economics and Management, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.ORCID https://orcid.org/0009-0002-7190-7163
Sharizal Bin HashimFaculty of Economics and Management, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.ORCID https://orcid.org/0000-0003-1287-2490
Jiaqi ZuoFaculty of Economics and Management, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
Jianyu ChengStudents affairs office, Chongqing Zhongyi Vocational and Technical School, Wanzhou, Chongqing, 404020, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article analyzes the determinants of consumers' purchase and consumption of geographical indication (GI) agricultural products through a ten-year systematic review. There exist growing concerns about food safety, quality, and health, increasing consumer attention to origin labelled foods. GI agricultural products have gained a stable position in global food markets. This study pursues two objectives. First, it identifies and classifies the key determinants of GI agricultural product consumption reported in the literature. Second, it compares insights from five existing review studies on closely related themes to clarify what is already established and what remains contested. Following the PRISMA guidelines, we conducted a transparent and reproducible systematic literature review, including structured searching, screening, and data extraction procedures. The results summarize how consumers respond to GI cues and identify factors associated with heterogeneous responses across contexts. By integrating fragmented evidence, this review clarifies consumption relevant mechanisms and offers implications for GI governance and marketing, helping firms better understand consumer decision making and supporting value capture for farmers, producers, and regional stakeholders.

Indexed as

AgricultureConsumer BehaviorHumansAgricultural ProductsConsumptionDeterminantsGeographical IndicationSystematic Review.

Identifiers

PMID42079466
PMCPMC13129523

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.