Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

A machine learning analysis of sustainable development

The case of the Harmonic Development Index

Datos Bibliográficos

ID13135329
AutoresBálint Bakk (Obuda University, autor de correspondencia), Soma Csaba Simon (University of Szeged), Soma Simon, László György (Eötvös Loránd University)
Año2026
Volumen11
Páginas101809-101809
Fecha de publicación2026-03-19
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSustainable Futures (JOURNAL)
Identificadores de la revistaISSN: 2666-1888
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.sftr.2026.101809
OpenAlexW7138895538
IdiomaEN
Referencias citadas25

Sustainable development requires multidimensional assessment beyond GDP, as nations similar in economic performance often diverge in environmental resilience, social equity, financial robustness, and demographic conditions. This study utilizes advanced machine learning methods on the Harmonic Development Index (H2DI), an integrative composite indicator covering economic, financial, environmental, social, demographic, and knowledge-based dimensions. Employing a Self-Organizing Map (SOM), we identify topology-preserving clusters, visualizing nuanced country proximities and sustainability trade-offs beyond traditional linear models. Complementarily, a Bayesian network uncovers conditional dependencies among sustainability pillars, highlighting critical pathways influencing national development trajectories. Our approach addresses common limitations of PCA and k-means methods by capturing nonlinearities and providing probabilistic insights into sustainability dynamics. Results reveal consistent patterns, robust economic and financial sustainability correlate positively with social resilience and knowledge capacity but inversely with demographic vitality. Temporal robustness checks from 2005 to 2023 affirm stability of these relationships despite global shocks, validating the framework’s applicability for sustainable policy guidance

Bayesian network · Composite index · Index (typography · Probabilistic logic · Robustness (evolution · Stability (learning theory · Sustainability · Sustainable development · Economic and Technological Innovation · Sustainability and Ecological Systems Analysis · Sustainable Development and Environmental Policy

  • Policy

    Open Access•Måns Nilsson, David Grigg et al.•Nature•2016

  • Learning Bayesian Networks with the bnlearn R Package

    Open Access•Marco Scutari•Journal of Statistical Software•2010

  • A Systematic Study of Sustainable Development Goal (SDG) Interactions

    Open Access•Prajal Pradhan, Luís Costa et al.•Earth's Future•2017

  • A survey of data envelopment analysis in energy and environmental studies

    Open Access•P Zhou, B W Ang et al.•European Journal of Operational…•2008

  • National pathways to the Sustainable Development Goals (SDGs)

    Open Access•Cameron Allen, Graciela Metternicht et al.•Environmental Science & Policy•2016

  • Sustainable Development Goals

    Open Access•Mehmet Çağlar, Cem GÜRLER•Environment Development and…•2022

  • Differentiating countries based on the sustainable development proximities using the SDG indicators

    Open Access•Mehdi Jabbari, Majid Shafiepour Motlagh et al.•Environment Development and…•2020

  • On the Methodological Framework of Composite Indices

    Open Access•Salvatore Greco, Alessio Ishizaka et al.•Social Indicators Research•2019

  • Monitoring Human Development Goals

    Open Access•Kobi Abayomi, Gonzalo Pizarro•Social Indicators Research•2011

  • Global development patterns

    Open Access•Carolina Saraiva, Jorge Caiado•Sustainable Futures•2025

  • A good life for all within planetary boundaries

    Open Access•Daniel W O''Neill, Andrew L Fanning et al.•Nature Sustainability•2018

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae