Analyzing the Impact of COVID-19 on Economic Sustainability: A Clustering Approach

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dc.contributor.authorNicolis, Orietta
dc.contributor.authorMaidana, Jean Paul
dc.contributor.authorContreras, Fabian
dc.contributor.authorLeal, Danilo
dc.date.accessioned2024-04-16T16:30:02Z
dc.date.available2024-04-16T16:30:02Z
dc.date.issued2024-02-04
dc.descriptionIndexación: Scopus.
dc.description.abstractThis work presents a comprehensive analysis of the economic impact of the COVID-19 pandemic, with a focus on OECD countries and the Chilean case. Utilizing a clustering approach, the research aims to investigate how countries can be categorized based on their pandemic mitigation strategies, economic responses, and infection rates. The methodology incorporates k-means and hierarchical clustering techniques, along with dynamic time warping, to account for the temporal variations in the pandemic’s progression across different nations. The study integrates the GDP into the analysis, thereby offering a perspective on the relationship between this economic indicator and health measures. Special attention is given to the case of Chile, thus providing a detailed examination of its economic and financial indicators during the pandemic. In particular, the work addresses the following main research questions: How can the OECD countries be clustered according to some health and economical indicators? What are the impacts of mitigation measures and the pension fund withdrawals on the Chilean economy? The study identifies significant differences (p-value < 0.05%) in the GDPs and infection rates between the two identified clusters that are influenced by government measures, particularly in the banking sector (55% and 60% in clusters 1 and 2, respectively). In Chile, a rebound in the IMACEC index is noted after increased liquidity, especially following partial pension fund withdrawals, thereby aligning with discrepancies between model forecasts and actual data. This study provides important insights for evidence-based public policies, thus aiding decision makers in mitigating the socioeconomic impact of global health crises and offering strategic advice for a sustainable economy.
dc.identifier.citationSustainability (Switzerland) Open Access Volume 16, Issue 4 February 2024 Article number 1525
dc.identifier.doi10.3390/su16041525
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/56030
dc.language.isoen
dc.publisherMDPI
dc.rights.licenseCC BY 4.0 DEED Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCOVID-19
dc.subjectdynamic time warping (DTW)
dc.subjecteconomic sustainability
dc.subjecthierarchical clustering
dc.subjectk-means
dc.titleAnalyzing the Impact of COVID-19 on Economic Sustainability: A Clustering Approach
dc.typeArtículo
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