Combining environmental and socioeconomic data to understand determinants of conflicts in Colombia.

Colombia Sustainable Development Goals conflicts data science human rights social impact spatial analysis

Journal

Frontiers in big data
ISSN: 2624-909X
Titre abrégé: Front Big Data
Pays: Switzerland
ID NLM: 101770603

Informations de publication

Date de publication:
2023
Historique:
received: 25 11 2022
accepted: 23 01 2023
entrez: 6 3 2023
pubmed: 7 3 2023
medline: 7 3 2023
Statut: epublish

Résumé

Conflicts cause immense human suffering, violate human rights, and affect people's stability. Colombia is affected for decades by a high level of armed conflicts and violence. The political and socio-economic situation, drug trafficking in the Colombian economy, and natural disasters events affect the country and foster general violence. In this work, we aim to evaluate the role of the socioeconomic, political, financial, and environmental determinants of conflicts in the Colombian context. To achieve these aims, we apply a spatial analysis to explore patterns and identify areas that suffer from high levels of conflict. We investigate the role of determinants and their relationship with conflicts through spatial regression models. In this study, we do not consider only the entire Colombian territory, but we extend the analysis to a restricted area (Norte de Santander department) to explore the phenomena locally. Our findings indicate a possible diffusion process of conflicts and the presence of spillover effects among regions by comparing the two most known spatial regression models. As regards possible key drivers of conflicts, our results show that surprisingly socioeconomic variables present very little relationship with conflicts, while natural disasters and cocaine areas show a relevant impact on them. Despite some variables seeming to be the more informative to explain the process globally, they highlight a strong relationship for only a few specific areas while considering a local analysis. This result proves the importance of moving to a local investigation to strengthen our understanding and bring out additional interesting information. Our work emphasizes how the identification of key drivers of violence is crucial to have evidence to inform subnational governments and to support the decision-making policies that could assess targeted policy options.

Identifiants

pubmed: 36875155
doi: 10.3389/fdata.2023.1107785
pmc: PMC9978383
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1107785

Informations de copyright

Copyright © 2023 Fiandrino, Cattuto, Paolotti and Schifanella.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

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Auteurs

Stefania Fiandrino (S)

Institute for Scientific Interchange, ISI Foundation, Turin, Italy.

Ciro Cattuto (C)

Institute for Scientific Interchange, ISI Foundation, Turin, Italy.

Daniela Paolotti (D)

Institute for Scientific Interchange, ISI Foundation, Turin, Italy.

Rossano Schifanella (R)

Institute for Scientific Interchange, ISI Foundation, Turin, Italy.
Department of Computer Science, University of Turin, Turin, Italy.

Classifications MeSH