The relationship between income level and road traffic deaths: an empirical analysis for 22 OECD countries
 
Yazarlar (5)
Yüksel Bayraktar Ankara Üniversitesi, Türkiye
Serdar Aydın J. Mack Robinson College Of Business, Amerika Birleşik Devletleri
Öğr. Gör. Dr. Mehmet Fırat OLGUN Kastamonu Üniversitesi, Türkiye
Ayfer Özyılmaz Kırıkkale Üniversitesi, Türkiye
Metin Toprak İstanbul Sabahattin Zaim Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı BMC Public Health (Q1)
Dergi ISSN 1471-2458 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 08-2025
Cilt / Sayı / Sayfa 25 / 1 / 2809–0 DOI 10.1186/s12889-025-23726-9
Makale Linki https://bmcpublichealth.biomedcentral.com/counter/pdf/10.1186/s12889-025-23726-9.pdf
UAK Araştırma Alanları
İktisat Teorisi
Özet
BackgroundThe increase in transportation and travel demands leads to the development of social welfare, and on the other hand, it may adversely affect socio-economic indicators such as death, injury, air pollution and budget deficit. Every day, thousands of people are killed, injured, or disabled due to road accidents around the world. The high cost of fatal and non-fatal road accidents to national economies is important in terms of policies to be implemented. This study aims to examine the relationship between road accidents and income levels in 22 OECD countries.MethodsPoisson Regression, Negative Binomial, and Quantile Regression Fixed Effect were used in models estimation. In addition, the convergence of traffic accident deaths for 34 OECD countries was investigated. Fractional frequency unit root test with structural break was used for convergence analysis.ResultsThe findings of the study show that …
Anahtar Kelimeler
Convergence | Health economics | Income | Road accident | Road safety
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 2
Scopus 2
Google Scholar 5
The relationship between income level and road traffic deaths: an empirical analysis for 22 OECD countries

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