Assessing the Prosperity of European Nations: A Cluster Analysis Based Approach

This study employs a multifaceted analytical approach to evaluate prosperity indicators across European countries, utilizing data from EUROSTAT spanning 2017 to 2022. Applying variable clustering and hierarchical clustering techniques, the research identifies three distinct clusters based on social, economic, and environmental indicators. The results are justifiable, with slight variations from real-case scenarios attributed to factors such as differences in considered factors across studies and variations in the study periods. The comprehensive methodology provides a step-by-step account of the hierarchical clustering and heatmap generation process, ensuring transparency and clarity in the analysis of Social, Environmental, and Economic indicators among different European countries. The study's insights provide valuable implications for policymakers, guiding targeted interventions to address unique challenges and opportunities within each cluster, thereby contributing to a more equitable and sustainable future across European countries.

Authors

Institutions

Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/ictmod63116.2024.10878156
Primary Topic
Global Trade and Competitiveness
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Prosperity of European Nations: A Cluster Analysis Based Approach

J. C., Ayman Alzaatreh, T. M. Joseph
Global Trade and Competitiveness
article

Assessing the Prosperity of European Nations: A Cluster Analysis Based Approach

J. C., Ayman Alzaatreh, T. M. Joseph
article en

Abstract

This study employs a multifaceted analytical approach to evaluate prosperity indicators across European countries, utilizing data from EUROSTAT spanning 2017 to 2022. Applying variable clustering and hierarchical clustering techniques, the research identifies three distinct clusters based on social, economic, and environmental indicators. The results are justifiable, with slight variations from real-case scenarios attributed to factors such as differences in considered factors across studies and variations in the study periods. The comprehensive methodology provides a step-by-step account of the hierarchical clustering and heatmap generation process, ensuring transparency and clarity in the analysis of Social, Environmental, and Economic indicators among different European countries. The study's insights provide valuable implications for policymakers, guiding targeted interventions to address unique challenges and opportunities within each cluster, thereby contributing to a more equitable and sustainable future across European countries.

American University of Sharjah (AE)
Openalex Percentile: Top 53%
Global Trade and Competitiveness
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessing the Prosperity of European Nations: A Cluster Analysis Based Approach — J. C., Ayman Alzaatreh, et al. · (2024) | TGRS Research Map | TGRS