Izvorni znanstveni članak
https://doi.org/10.13044/j.sdewes.d13.0579
Using Multivariate Statistical Analysis for Examining the Relationship between Food Waste Generation and Socio-economic Factors
Anikó Zseni
orcid.org/0000-0001-5007-4129
; Széchenyi István University, Győr, Hungary
András Horváth
; Széchenyi István University, Győr, Hungary
Gergely Zoltán Macher
; Széchenyi István University, Győr, Hungary
Dóra Sipos
; Széchenyi István University, Győr, Hungary
Judit Pécsinger
orcid.org/0000-0002-1901-1813
; Széchenyi István University, Győr, Hungary
Sažetak
Food waste contributes to social inequalities and sustainability issues by worsening resource overuse and environmental harm. The United Nations Sustainable Development Goal 17 highlights the importance of reducing food waste to address hunger and promote a sustainable, economically viable global food system. This paper examines the geographic differences in food waste levels among European Union member nations and analyses the associations between food waste and diverse environmental, geographic, social and economic indicators, including Sustainable Development Goals and other sustainability metrics. Using dimensionality reduction methods, nontrivial multivariate connections between food waste and these parameters were identified, allowing for the characterisation of countries based on a few significant factors. Principal Component Analysis (PCA), applied to food waste data across European Union countries, uncovered three distinct groups: (1) those with elevated food waste in primary production, manufacturing and distribution stages; (2) those with lower waste in these domains yet elevated waste in restaurants and households; and (3) those with all of their food waste components smaller than or equal to the average. The multivariate linear correlation between the PCA factors and socio-economic parameters is nonsignificant, but a few (nonlinear) regularities could be identified: five of the six countries of the first group above are characterised by the population settled mainly on flatland and an above-average supply of meat or fish. Another pattern observed is that former Eastern Bloc countries belong to the third group. The research findings offer valuable insights that can inform the efforts of environmental experts, professionals and policymakers working in the circular economy and waste management domains. This knowledge can facilitate the development of more effective strategies aimed at mitigating food waste and promoting sustainability.
Ključne riječi
Sustainable Development Goals; food waste; food consumption; socio-economic indicators; Principal Component Analysis; multidimensional linear regression
Hrčak ID:
335145
URI
Datum izdavanja:
18.5.2026.
Posjeta: 548 *