EN
A Provincial Youth Population Analysis In Terms of Time And Space: The Case of Turkey
Abstract
The youth age period (0-14 age), which is one of the most important periods of human life, is also an important demographic indicator for countries. In this study, youth population, twenty five percent of the total population in Turkey, is examined from the perspective of time and space on provincial level. The traditional coefficient of variation (CV) approach was used to analyze the development of the young population parameter over time. Behind, Moran I index value, which has become a traditional method, has been used to measure the distribution of the young population parameter in space. According to the CV results, the youth age population diversity increases slightly between the provinces from 2007 to 2018. In the 0-4 age group shows high spatial pattern along the southeastern and eastern provinces. High spatial pattern is observed in 5-9 groups of central and northeast provinces. 0-4 and 5-9 age groups of these two regions are almost displaced by spatial pattern. The variety between the provinces is lower in the 10-14 age group. All of these findings shows that, in spatial terms, the young population in Turkey reveals a rapid change especially to 0-4 and 5-9 age groups. Population changes are often the subject of long-term analysis. This study shows that the population structure of countries can transform in the short term. In fact, the change in time and space dimensions of Turkey's youth population structure has been realized in a short time. This finding could lead policymakers on shorter term demographic solutions.
Keywords
Teşekkür
We appreciate Prof. Murat Ali Dulupçu for the guidance and support on the study design.
Kaynakça
- Abdi, H. (2010), “Coefficient of Variation”. Encyclopedia of Research Design, 1, 169-171.
- Assaad, R., and Roudi-Fahimi, F. (2007). Youth in the Middle Eastand North Africa: Demographic Opportunity or Challenge?. Washington, DC: Population Reference Bureau.
- Anselin, L. (1980), “Estimation Methods for Spatial Autoregressive Structures”. Estimation Methods for Spatial Autoregressive Structures, 8.
- Anselin, L. (1988), Spatial Econometrics: Methods and Models. Studies in Operational Regional Science. Kluwer Academic Publishers.
- Anselin, L. (1996), “The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial”. Spatial Analytical, 4, 111.
- Baş, H., and Çetin, B. I. (2017), “Bir Sosyal Bilimler Belediyecilik Uygulaması Olarak İstanbul Esenler Belediyesi Gençlik Merkezi Örneği”. Abant İzzet Baysal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 17(1), 149-175.
- Baş, H. (2017), “Türkiye'de Genç Nüfus: Sorunlar ve Politikalar”. Journal of Suleyman Demirel University Institute of Social Sciences, 27(2).
- Boots, B. N. (1977), “Contact Number Properties in the Study of Cellular Networks”. Geographical Analysis, 9(4), 379-387.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
20 Eylül 2020
Gönderilme Tarihi
1 Temmuz 2020
Kabul Tarihi
10 Eylül 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 4 Sayı: 3