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Studies on Balkan and Near Eastern Social Sciences – Volume 3

Edited By Rasim Yilmaz and Günther Löschnigg

The third volume of «Studies on Balkan and Near Eastern Social Sciences» is a collection of empirical and theoretical research papers in the social sciences regarding the Balkans and the Near East written by researchers from several different universities and institutions. The book addresses economic, financial, political, sociological, international relations, health, cultural, and feminist issues in the region of the Balkan and Near East. The book is aimed at educators, researchers, and students interested in the Balkan and Near Eastern countries.

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Revisiting the Health Systems of OECD Countries toward an Efficiency Perspective

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Introduction

There has been a remarkable rise in total health expenditures as a share of GDP since 1960 which corresponds to an increase from 4% to 9% in ten-year averages (Varol İyidoğan et al., 2017). As emphasized by Organization for Economic Cooperation and Development-OECD (2017), in 2016, OECD health spending has reached a maximum rise since 2009 by 3.4 %, on average. The upward trend of health care expenditures as a consequence of aging, technological grounds, growth performance and other socio-economic factors among OECD counties arises the issue of efficiency which is a common matter of debate, not only for major research areas of economics with regard to the constraints on resources leading to optimization problems, but also for health sector. Following the definition of efficiency in the production literature which is either the achievement to possible maximum output with a given input or production of given amount of output with minimum input, an efficient health system requires a substantial improvement in outcome as a consequence of growing health expenditures.

From this point of view, the related literature focuses on the measurement of health efficiency by utilizing different approaches, both parametric such as Evans et al. (2000), Jayasuriya and Wodon (2003), Kinfu (2011), Grigoli and Kapsoli (2013), and non-parametric that embodies data envelopment analysis (DEA) and free disposal hull (FDH). A summary table on the studies implementing non-parametric methods is presented in Tab. 1.

Tab. 1: Literature Overview


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