Mapping socio-environmental policy integration in the European Union: A multilayer network approach

This paper faces the relevant task of assessing the integration of European countries when dealing with three paradigmatic socio-environmental themes: Circular Economy (CE), Energy Transition (ET), and Social Justice (SJ). Specifically, we aim to explore whether a similar behavior in facing one of the considered aspects is mirrored by similarity in the others. We move from a dataset composed of five variables for CE, two for ET, and three for SJ, representing yearly data for the quinquennium 2016–2020 and European countries. We build a multilayer network based on the ten variables having countries as nodes. Each layer/variable has weighted links based on countries’ similarity. Inter-layer links are created through a community detection exercise over the individual layers. This approach allows us to evaluate analogies, leading to the assessment of intra- and inter-layer policy integration. We find a relatively low level of integration at the European level and a high sensitivity to the number of detected communities, thus revealing the role of countries’ heterogeneity in driving integration.

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Publication Details

Journal
Journal of Cleaner Production
Published
2025-01-22
DOI
https://doi.org/10.1016/j.jclepro.2025.144792
Citations
4
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
5.29
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article

Mapping socio-environmental policy integration in the European Union: A multilayer network approach

Saverio Storani, Giovanna Ferraro, Raffaele Mattera, Roy Cerqueti
4 citations
Journal of Cleaner Production
Complex Network Analysis Techniques
5.29
article

Mapping socio-environmental policy integration in the European Union: A multilayer network approach

Saverio Storani, Giovanna Ferraro, Raffaele Mattera, Roy Cerqueti
article en
4 citations

Abstract

This paper faces the relevant task of assessing the integration of European countries when dealing with three paradigmatic socio-environmental themes: Circular Economy (CE), Energy Transition (ET), and Social Justice (SJ). Specifically, we aim to explore whether a similar behavior in facing one of the considered aspects is mirrored by similarity in the others. We move from a dataset composed of five variables for CE, two for ET, and three for SJ, representing yearly data for the quinquennium 2016–2020 and European countries. We build a multilayer network based on the ten variables having countries as nodes. Each layer/variable has weighted links based on countries’ similarity. Inter-layer links are created through a community detection exercise over the individual layers. This approach allows us to evaluate analogies, leading to the assessment of intra- and inter-layer policy integration. We find a relatively low level of integration at the European level and a high sensitivity to the number of detected communities, thus revealing the role of countries’ heterogeneity in driving integration.

Journal of Cleaner ProductionVol. 491
University of Rome Tor Vergata (IT), Ospedale Regina Margherita (IT), Université d'Angers (FR), Sapienza University of Rome (IT)
Openalex Percentile: Top 5%
Complex Network Analysis Techniques
5.29
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Mapping socio-environmental policy integration in the European Union: A multilayer network approach — Saverio Storani, Giovanna Ferraro, et al. · Journal of Cleaner Production (2025) | TGRS Research Map | TGRS