RELATIONSHIP BETWEEN INSTITUTIONS AND INCOME DISTRIBUTION: EVIDENCE FROM TURKEY

Year 2021, , 155 - 169, 30.12.2021

Yıldırım Beyazıt Çiçen , Ayça Karakuzu

https://doi.org/10.46737/emid.1025673

Abstract

Gelir eşitsizliği Türkiye'nin önemli iktisadi sorunlarından bir tanesidir. Ekonomik, sosyal ve politik faktörlerin yanı sıra kurumsal faktörler de gelir eşitsizliğini etkilemektedir. Bu çalışmada Türkiye'de kurumların gelir eşitsizliği üzerindeki olası etkileri incelenmiştir. Bu amaçla Türkiye'de bölgesel gelir eşitsizliği 2009-2019 yılları arasında bölge verileri kullanılarak panel veri yöntemiyle analiz edilmiştir. Analizde kurumsal yapıyı temsil eden değişkenler olarak bebek ölüm hızı, okuma yazma bilmeyen sayısı, fakülte veya yüksekokul mezunu sayısı, doktora mezunu sayısı ve hükümlü sayısı kullanılmıştır. Ayrıca kontrol değişkeni olarak finansal hizmetler yerel birim sayısı, finans sektöründe ortalama çalışan sayısı, hanelerde internet erişimi, interneti düzenli kullanan bireylerin oranı ve net göç hızı değişkenleri kullanılmıştır. Modellerden elde edilen bulgulara göre, okuma yazma bilmeyen sayısı, yüksekokul veya fakülte mezunu sayısı, hanelerde internet erişim oranı ve bebek ölüm hızı değişkenleri gelir dağılımı üzerinde istatistiksel olarak anlamlıdır.

Keywords

Kurumlar, Gelir Dağılımı, Bölgeler, Türkiye

RELATIONSHIP BETWEEN INSTITUTIONS AND INCOME DISTRIBUTION: EVIDENCE FROM TURKEY

Abstract

Income distribution inequality is one of the important economic problems in Turkey. In addition to economic, social, and political factors, institutional factors also influence income inequality. In this study, the possible effects of institutions on income inequality in Turkey are examined. For this purpose, regional income inequality in Turkey is analyzed by panel data method using regional data between 2009 and 2019. Variables representing the institutional structure such as infant mortality rate, number of illiterate, number of faculty or college graduates, number of doctoral graduates, and number of convicts were used. In addition, the number of financial services local units, the average number of employees in the financial sector, internet access in households, the proportion of individuals using the internet regularly, and the net migration rate variables were also used as control variables. According to the findings obtained from the models, the variables of illiterate number, number of college or faculty graduates, internet access rate in households, and infant mortality rate are statistically significant on income distribution.

Keywords

Institution, Income Distrubution, Regions, Turkey

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