Çalışmanın amacı Ekonomik Kalkınma ve İşbirliği Örgütü’ne (OECD) üye 28 ülkenin 2018 yılına ait işgücü piyasa performansını analiz etmektir. Analizde söz konusu ülkelerin “işsizlik oranı”, “uzun süreli işsizlik oranı”, “istihdam oranı”, “işgücüne katılma oranı”, “geçici istihdam oranı”, “part time istihdam oranı”, “genç işsizlik oranı” ve “istihdamda ve eğitimde olmayanların oranı” olmak üzere sekiz kriter belirlenmiştir. Analiz yöntemi olarak çok kriterli karar verme yöntemlerinden biri olan MOOSRA (Multi-Objective Optimization on The Basis of Simple Ratio Analysis) kullanılmıştır. Değerlendirilen kriterlerin ağırlıklarının belirlenmesinde Entropi yöntemi tercih edilmiştir. Analiz sonucunda en yüksek işgücü piyasası performansı İzlanda, Çek Cumhuriyeti, Litvanya ve Estonya’ya aitken en düşük performans gösteren OECD ülkelerinin İspanya, İtalya ve Yunanistan olduğu tespit edilmiştir.
The aim of the study is to analyze the workforce market performance of the 28 OECD member countries for 2018. The analysis identified eight criteria for the countries concerned, including “unemployment rate”, “long-term unemployment rate”, “employment rate”, “employment participation rate”, “interim employment rate”, “part-time employment rate”, “young unemployment rate” and “employment and non-education rate”. The analysis method is based on the MOOSRA (Multi-Objective Optimization on the Basis of Simple Ratio Analysis). In determining the weight of the criteria evaluated, the entropic method was preferred. The analysis found that the highest labour market performance belongs to Iceland, the Czech Republic, Lithuania and Estonia; the lowest performance OECD countries were Spain, Italy and Greece.
This article analyzed the labor market performance of 28 Organization for Economic Co-operation and Development (OECD) countries in 2018. The indicators of labor market performance were the unemployment rate, long-term unemployment rate, youth unemployment rate, youth not in employment, education or training (NEET) rate, employment rate, employment participation rate, part-time employment rate, and temporary employment rate. The method of multi-objective optimization on the basis of simple ratio analysis (MOOSRA) was used, which is one of the multi-objective decision-making methods. The entropy method was preferred to determine the weighting of the criteria. It was concluded that the most successful labor performance in the 28 countries examined was found in Iceland, the Czech Republic, and Estonia, and the worst performance was in Spain, Italy, and Greece.
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Ulusal
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