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Article

Using Dimensionality Reduction Methods to Explore the Social, Cultural and Geographical Reasons Behind Food Waste in the European Union

by
Anikó Zseni
1,*,
András Horváth
2 and
Gergely Zoltán Macher
1
1
Department of Applied Sustainability, Albert Kázmér Mosonmagyaróvár Faculty of Agricultural and Food Sciences, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary
2
Department of Mathematics and Physics, Faculty of Informatics and Electrical Engineering, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary
*
Author to whom correspondence should be addressed.
Sustainability 2025, 17(20), 9315; https://doi.org/10.3390/su17209315
Submission received: 15 September 2025 / Revised: 9 October 2025 / Accepted: 18 October 2025 / Published: 20 October 2025
(This article belongs to the Special Issue Food Waste Management and Sustainability)

Abstract

The paper investigates disparities in food waste generation across European Union countries between 2020 and 2022, focusing on spatial and sustainability dimensions. It utilizes data for six key food waste parameters and a broad range of environmental, social and economic indicators. A combination of statistical methods, including correlation analysis, cluster analysis and Principal Component Analysis, uncovers multivariate patterns and identifies groups of countries with similar food waste characteristics and related factors. The paper highlights the temporal and spatial dynamics of food waste over the three-year period, particularly in light of the COVID-19 pandemic. While the total volume of food waste remained relatively stable across the EU, notable shifts occurred in waste sources. Household food waste peaked in 2021, likely due to increased time spent at home during pandemic-related lockdowns. Conversely, waste from retail, restaurants and food service sectors showed a consistent increase. The paper identifies non-trivial correlations between food waste and socio-economic variables, suggesting that differences in food waste generation across EU countries are influenced by a complex interplay of factors, including policy effectiveness, cultural practices, consumer behaviour and economic conditions. This comprehensive analysis of food waste patterns across EU countries and over time offers valuable insights for policymakers aiming to reduce waste and promote sustainability.
Keywords: food waste; household waste; socio-economic factors; principal component analysis; spatial analysis food waste; household waste; socio-economic factors; principal component analysis; spatial analysis

Share and Cite

MDPI and ACS Style

Zseni, A.; Horváth, A.; Macher, G.Z. Using Dimensionality Reduction Methods to Explore the Social, Cultural and Geographical Reasons Behind Food Waste in the European Union. Sustainability 2025, 17, 9315. https://doi.org/10.3390/su17209315

AMA Style

Zseni A, Horváth A, Macher GZ. Using Dimensionality Reduction Methods to Explore the Social, Cultural and Geographical Reasons Behind Food Waste in the European Union. Sustainability. 2025; 17(20):9315. https://doi.org/10.3390/su17209315

Chicago/Turabian Style

Zseni, Anikó, András Horváth, and Gergely Zoltán Macher. 2025. "Using Dimensionality Reduction Methods to Explore the Social, Cultural and Geographical Reasons Behind Food Waste in the European Union" Sustainability 17, no. 20: 9315. https://doi.org/10.3390/su17209315

APA Style

Zseni, A., Horváth, A., & Macher, G. Z. (2025). Using Dimensionality Reduction Methods to Explore the Social, Cultural and Geographical Reasons Behind Food Waste in the European Union. Sustainability, 17(20), 9315. https://doi.org/10.3390/su17209315

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