Nişantaşı Üniversitesi Sosyal Bilimler Dergisi

2147-5121 2717-7610

Nişantaşı Üniversitesi

10.52122/nisantasisbd.1748907

Hospital Management

Hastane İşletmeciliği

OECD ÜLKELERİNDE DOĞUMDA BEKLENEN YAŞAM SÜRESİNİN BELİRLEYİCİLERİ: EKONOMİK, SAĞLIK VE ÇEVRESEL FAKTÖRLERİN AMPİRİK ANALİZİ

DETERMINANTS OF LIFE EXPECTANCY AT BIRTH IN OECD COUNTRIES: AN EMPIRICAL ANALYSIS OF ECONOMIC, HEALTH, AND ENVIRONMENTAL FACTORS

https://orcid.org/0000-0002-8515-5639

Uzan

Mustafa

SÜLEYMAN DEMİREL ÜNİVERSİTESİ, SOSYAL BİLİMLER ENSTİTÜSÜ

https://orcid.org/0000-0002-8277-0281

Karaıbrahımoglu

Adnan

SÜLEYMAN DEMİREL ÜNİVERSİTESİ, TIP FAKÜLTESİ

12 31 2025

13 2 1153 1167 07 23 2025 10 03 2025

2013

Nişantaşı Üniversitesi Sosyal Bilimler Dergisi

Bu çalışma, OECD ülkelerinde doğumda beklenen yaşam süresini (DBYS) etkileyen başlıca ekonomik, sağlık sistemi ve çevresel faktörleri belirlemeyi amaçlamaktadır. Analiz, kişi başına gayri safi yurtiçi hasıla (GSYİH), kamu sağlık harcaması, sağlık harcamalarının GSYİH içindeki oranı, hava kirliliğine maruz kalan nüfusun oran (PM2.5) ve 65 yaş üstü nüfus oranı değişkenlerine odaklanmaktadır. Araştırmada kesitsel analiz deseni benimsenmiş ve 2021 yılına ait OECD ve Dünya Bankası verileri kullanılmıştır. 38 ülkeye ait veriler SPSS 26 programı aracılığıyla analiz edilmiştir. Öncelikle betimleyici istatistikler ve Pearson korelasyonları hesaplanmış; ardından çoklu doğrusal regresyon ve ikili lojistik regresyon analizleri gerçekleştirilmiştir. Kişi başına düşen gelir düzeyinin DBYS üzerinde pozitif ve anlamlı bir etkisi saptanmıştır (p

This study aims to identify the key economic, healthcare system, and environmental determinants of life expectancy at birth (LEB) across OECD countries. It focuses on GDP per capita, public health expenditure per capita, health expenditure as a share of GDP, percentage of population exposed to air pollution (PM2.5), and the proportion of population aged 65 and over. A cross-sectional design was adopted using 2021 data from OECD and World Bank databases. Data from 38 countries were analyzed using IBM SPSS Statistics 26. Descriptive statistics and Pearson correlations were first calculated, followed by multiple linear and binary logistic regression analyses. GDP per capita showed a statistically significant positive effect on LEB (p

doğumda beklenen yaşam süresi sağlık harcamaları hava kirliliği oecd sağlık ekonomisi

life expectancy at birth health expenditure air pollution oecd health economics

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