Evidence map›Paper›PMID 41464951›Full record

ArticleFoods (Basel, Switzerland)2025

Explaining Food Waste Dissimilarities in the European Union: An Analysis of Economic, Demographic, and Educational Dimensions.

Claudiu George Bocean

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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

1 author.

Claudiu George BoceanDepartment of Management, Marketing and Business Administration, Faculty of Economics and Business Administration, University of Craiova, 13 AI Cuza Street, 200585 Craiova, Romania.ORCID 0000-0001-9714-1333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food waste remains a persistent sustainability challenge for the European Union, revealing how economic development, demographic structures, and educational attainment intersect to shape consumption behavior. Although rising prosperity can enhance efficiency, it often encourages overproduction and habits of abundance that increase food waste. This study investigates the structural drivers behind the variation in per capita food waste across EU member states by examining the combined influences of economic growth, human capital, and population density. Using a cross-country dataset, the analysis integrates factorial methods to identify latent relationships among socioeconomic indicators, a multilayer perceptron to capture nonlinear dependencies, and cluster analysis to classify countries according to shared development and education patterns. The results show that higher income and consumption levels tend to elevate food waste. Nevertheless, this effect is moderated when educational attainment and public awareness are stronger, highlighting the role of knowledge in shaping responsible consumption. The neural network further demonstrates that the relationship between prosperity and waste is not linear but mediated by the cognitive and social capacities of each society. Cluster patterns reveal regional models where sustainability policies and cultural norms contribute to more efficient food management. Overall, the study emphasizes that food waste arises from structural disparities rather than isolated behaviors, offering an evidence-based foundation for integrated EU policies that support more sustainable and equitable resource use.

Indexed as

cluster analysiseconomic developmenteducational attainmentEuropean Unionfactorial analysisfood wastemultilayer perceptronpopulation density

Identifiers

PMID41464951
PMCPMC12733072

What OpenQuestion holds

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LicenceCC BY
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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.