The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach

This study examines the intricate relationship between national happiness and sustainability by analyzing data from the 2024 World Happiness Report (WHR) and the Sustainable Development Goal (SDG) Index across 74 countries. Employing multidimensional scaling (MDS) and K-means clustering, we investig...

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Detalles Bibliográficos
Autores: Detrinidad , Emmanuel, López Ruiz, Víctor Raúl
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/39563
Acceso en línea:https://doi.org/10.3390/su162210068
https://hdl.handle.net/10578/39563
Access Level:acceso abierto
Palabra clave:Cultural values
Happiness
Happiness indices
K-means clustering
Multidimensional scaling (MDS)
Policy implications
Sustainability
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spelling The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster ApproachDetrinidad , EmmanuelLópez Ruiz, Víctor RaúlCultural valuesHappinessHappiness indicesK-means clusteringMultidimensional scaling (MDS)Policy implicationsSustainabilityThis study examines the intricate relationship between national happiness and sustainability by analyzing data from the 2024 World Happiness Report (WHR) and the Sustainable Development Goal (SDG) Index across 74 countries. Employing multidimensional scaling (MDS) and K-means clustering, we investigate the interplay of economic, social, and environmental factors that contribute to subjective well-being. Our results indicate that high-income countries, particularly those characterized by secular–rational values, tend to achieve elevated scores in both happiness and sustainability. In contrast, lower-income nations exhibit diverse cultural value systems that significantly influence their happiness and sustainability outcomes. This analysis identifies distinct clusters of countries with unique governance and cultural profiles, underscoring the inadequacies of traditional economic indicators in measuring societal well-being. By integrating sustainability metrics into happiness assessments, we propose a comprehensive framework for understanding and promoting human happiness. These findings offer critical insights for policymakers aiming to address pressing global challenges, including inequality and health disparities.MDPI202420242024info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.3390/su162210068https://hdl.handle.net/10578/39563reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/395632026-05-27T07:36:41Z
dc.title.none.fl_str_mv The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
title The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
spellingShingle The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
Detrinidad , Emmanuel
Cultural values
Happiness
Happiness indices
K-means clustering
Multidimensional scaling (MDS)
Policy implications
Sustainability
title_short The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
title_full The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
title_fullStr The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
title_full_unstemmed The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
title_sort The Interplay of Happiness and Sustainability: A Multidimensional Scaling and K-Means Cluster Approach
dc.creator.none.fl_str_mv Detrinidad , Emmanuel
López Ruiz, Víctor Raúl
author Detrinidad , Emmanuel
author_facet Detrinidad , Emmanuel
López Ruiz, Víctor Raúl
author_role author
author2 López Ruiz, Víctor Raúl
author2_role author
dc.subject.none.fl_str_mv Cultural values
Happiness
Happiness indices
K-means clustering
Multidimensional scaling (MDS)
Policy implications
Sustainability
topic Cultural values
Happiness
Happiness indices
K-means clustering
Multidimensional scaling (MDS)
Policy implications
Sustainability
description This study examines the intricate relationship between national happiness and sustainability by analyzing data from the 2024 World Happiness Report (WHR) and the Sustainable Development Goal (SDG) Index across 74 countries. Employing multidimensional scaling (MDS) and K-means clustering, we investigate the interplay of economic, social, and environmental factors that contribute to subjective well-being. Our results indicate that high-income countries, particularly those characterized by secular–rational values, tend to achieve elevated scores in both happiness and sustainability. In contrast, lower-income nations exhibit diverse cultural value systems that significantly influence their happiness and sustainability outcomes. This analysis identifies distinct clusters of countries with unique governance and cultural profiles, underscoring the inadequacies of traditional economic indicators in measuring societal well-being. By integrating sustainability metrics into happiness assessments, we propose a comprehensive framework for understanding and promoting human happiness. These findings offer critical insights for policymakers aiming to address pressing global challenges, including inequality and health disparities.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.3390/su162210068
https://hdl.handle.net/10578/39563
url https://doi.org/10.3390/su162210068
https://hdl.handle.net/10578/39563
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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