ANALYZING THE AGEING POPULATION AND HEALTHCARE EXPENDITURES FROM AN ENVIRONMENTAL SUSTAINABILITY PERSPECTIVE FOR THE EU COUNTRIES: A SPATIAL APPROACH

The aim of this study is to analyze the impact of population aging (AG), healthcare expenditures (HE), per capita GDP, and renewable energy budgets (REB) on environmental quality (EQ). To achieve this, data from 22 European Union (EU) countries covering the period from 2005 to 2020 were examined using spatial panel data analysis. The findings indicate the presence of spatial interactions among EU countries. Model specification tests supported the spatial panel lag model with fixed effects. The spatial effect coefficient was found to be 0.53 and statistically significant. While AG and REB positively influenced EQ, HE and per capita GDP exhibited negative effects. The results highlight the complex interactions among economic, social, and environmental factors. The study concludes with policy recommendations aimed at supporting EU countries in achieving their climate goals.

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Publication Details

Journal
Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Published
2025-06-27
DOI
https://doi.org/10.36543/kauiibfd.2025.007
Citations
3
Primary Topic
Global Health Care Issues
Type
article
Field-Weighted Citation Impact
8.45
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article

ANALYZING THE AGEING POPULATION AND HEALTHCARE EXPENDITURES FROM AN ENVIRONMENTAL SUSTAINABILITY PERSPECTIVE FOR THE EU COUNTRIES: A SPATIAL APPROACH

İbrahim Halil Polat, Mahir Tosunoğlu, Tunahan Aslan
3 citations
Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Global Health Care Issues
8.45
article

ANALYZING THE AGEING POPULATION AND HEALTHCARE EXPENDITURES FROM AN ENVIRONMENTAL SUSTAINABILITY PERSPECTIVE FOR THE EU COUNTRIES: A SPATIAL APPROACH

İbrahim Halil Polat, Mahir Tosunoğlu, Tunahan Aslan
article en
3 citations

Abstract

The aim of this study is to analyze the impact of population aging (AG), healthcare expenditures (HE), per capita GDP, and renewable energy budgets (REB) on environmental quality (EQ). To achieve this, data from 22 European Union (EU) countries covering the period from 2005 to 2020 were examined using spatial panel data analysis. The findings indicate the presence of spatial interactions among EU countries. Model specification tests supported the spatial panel lag model with fixed effects. The spatial effect coefficient was found to be 0.53 and statistically significant. While AG and REB positively influenced EQ, HE and per capita GDP exhibited negative effects. The results highlight the complex interactions among economic, social, and environmental factors. The study concludes with policy recommendations aimed at supporting EU countries in achieving their climate goals.

Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi DergisiVol. 16(31)
Van Yüzüncü Yıl Üniversitesi (TR), Hakkari University (TR), Ege University (TR)
Openalex Percentile: Top 3%
Global Health Care Issues
8.45
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