TY - JOUR T1 - OECD Ülkeleri İçin Refah Ölçümü: Gri İlişkisel Analiz Uygulaması TT - Measuring Wellbeing in OECD: An Application of Grey Relational Analysis AU - Türe, Hasan PY - 2019 DA - August JF - Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi JO - AHBVÜ İİBF Dergisi PB - Ankara Hacı Bayram Veli Üniversitesi WT - DergiPark SN - 2667-405X SP - 310 EP - 327 VL - 21 IS - 2 LA - tr AB - Son yıllarda refah değerlendirmesineolan ilginin artması, bölgesel ve ulusal düzeyde refahın ölçülmesinde çokçeşitli istatistiksel ve optimizasyon tekniklerinin kullanılmasını sağlamıştır.Bu çalışmada, gri ilişkisel analizini (GRA) entropy formülü ile birleştiren metodolojikbir yaklaşım kullanılarak, 34 OECD ülkesinin refah düzeyi skorlarınınhesaplanması amaçlanmıştır. Refah ölçümü OECD'nin iki boyutlu çerçevesi gözönüne alınarak incelenmiştir. Bu boyutlardan ilki olan yaşam kalitesi boyutusağlık durumu, iş - yaşam dengesi, eğitim - beceriler, sosyal bağlantılar,sivil katılım - yönetişim, çevresel kalite, kişisel güvenlik, öznel refah gibigöstergeleri ile incelenmektedir. Diğer boyut olan fiziki durum ise gelir - servet,iş - kazanç ve barınma göstergelerini kapsamaktadır. OECD Bölgesel Refah Veritabanından toplanan, yaşam kalitesi ve fiziki duruma ilişkin göstergeler 15yıllık dönem (2000-2014) içerisindeki en güncel verilerden oluşmaktadır. Sonuçolarak, İzlanda, Avustralya, Norveç ve İsviçre'nin en yüksek refah seviyesineulaştığı tespit edilmiştir. Sıralamanın diğer ucunda yer alan Macaristan,Yunanistan, Türkiye ve Meksika’nın ise nispeten daha düşük refah seviyesinesahip oldukları gözlenmiştir. KW - Refah seviyesi KW - entropy KW - OECD KW - çok amaçlı karar verme N2 - There has been growing interest in the assessment of well-being inrecent years and a wide range of statistical and optimization techniques havebeen used to measure well-being at regional and national level. This paper aimsat computing the well-being scores of 34 OECD countries, using a methodologicalapproach that combines grey relational analysis (GRA) with entropy formula. Themeasurement of well-being process was examined by considering thetwo-dimensional framework of the OECD. The dimension of quality of life isexamined by the indicators such as health status, work – life balance,education – skills, social connections, civic engagement – governance,environmental quality, personal security, subjective well-being. And thedimension of material living and conditions covers income – wealth, jobs –earnings and housing indicators. The data were collected from the OECD RegionalWell-Being Database. 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