E7 Ekonomilerinde Sosyo-ekonomik Kalkınmanın Bir Aracı Olarak Küresel Beşeri Sermayesi Kapasitesinin Ölçülmesi

Year 2021, Issue: 2, 18 - 40, 31.12.2021

Hasan Dinçer Serhat Yüksel Fatih Pınarbaşı

Abstract

Bu çalışmanın amacı, E7 ekonomilerinde beşerî sermaye kapasitesini ölçmektir. Bu çerçevede Küresel
İnsan Sermayesi raporunda vurgulanan 4 farklı boyut ve 21 kriter ele alınmıştır. Analizin ilk aşamasında,
bu boyut ve kriterleri değerlendirmek için bulanık DEMATEL yöntemi kullanılmıştır. Buna ek
olarak, MOORA yaklaşımının beşerî sermaye kapasitesine göre E7 ekonomilerini derecelendirdiği düşünülmektedir.
Araştırmanın sonucunda elde edilen bulgular en önemli boyutun sıralamada dağılım
ve bilgi birikimi olduğunu ortaya koymaktadır. Bunun yanında, eksik istihdam oranı ve vasıflı çalışan
mevcudiyetinin belirlenen kriterler arasında en yüksek ağırlığa sahip olduğu gözlemlenmektedir.
Ayrıca beşerî sermaye kapasitesi açısından Rusya ve Hindistan’ın en iyi ülkeler olduğu, Meksika ve
Brezilya’nın ise son sırada bulunduğu sonucuna varılmıştır. Bu nedenle, en alt sıradaki ülkelerin teknolojik
yatırımlarını artırmaları, çalışanların beceri ve niteliklerini artırmak için yeni ve etkin bir eğitim
programı yürütmeleri önerilmektedir. Araştırma sonucuna göre ancak bu yöntemle sürdürülebilir
sosyo-ekonomik kalkınmaya ulaşmak mümkün olacaktır.

Keywords

Küresel İnsan Sermayesi; E7 Ekonomileri, Sosyo-ekonomik Kalkınma; Bulanık DEMATEL; MOORA, Küresel İnsan Sermayesi; E7 Ekonomileri, Sosyo-ekonomik Kalkınma; Bulanık DEMATEL; MOORA, Küresel İnsan Sermayesi,E7 Ekonomileri, Sosyo-ekonomik Kalkınma, Bulanık DEMATEL; MOORA

Measuring the Capacity of Global Human Capital as a tool of Socio-economic Development in E7 Economies

Abstract

The aim of this study is to measure the capacity of human capital in E7 economies. Within this framework,
4 different dimensions and 21 criteria, emphasized in the Global Human Capital report, are
taken into the consideration. In the first phase of the analysis, fuzzy DEMATEL methodology is used
in order to weight these dimensions and criteria. In addition to this situation, the MOORA approach
is considered to rank E7 economies with respect to the capacity of human capital. The findings show
that deployment and know-how are the most important dimensions. Additionally, it is defined that
underemployment rate and availability of skilled employee have the highest weights among criteria.
Moreover, it is concluded that Russia and India are the best countries whereas Mexico and Brazil are on
the last rank with respect to the human capital capacity. Hence, it is recommended that the countries,
which have the lowest rank, should increase technological investment and conduct a new and effective
training program to increase the skills and the qualifications of the employees. Therefore, it can be possible
to reach sustainable socio-economic development.

Keywords

Global Human Capital, E7 Economies;, Socio-economic Development;, Fuzzy DEMATEL; MOORA

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