YÜKSELEN PİYASA EKONOMİLERİNDE BİT YATIRIMLARI VE EKONOMİK BÜYÜME

Bu makale kapsamında, Yükselen Piyasalarda, BİT sermaye girdisi, BİT dışı sermaye girdisi, işgücü kalitesi ve GSYİH artışı arasındaki ilişki 2000-2017 yılları arasındaki dönem için panel veri yöntemini kullanarak analiz edilmiştir. Veri seti “The Conference Board Total Economy” veri tabanından alınmıştır. Seriler yıllıktır ve 1996-2017 yılları arasındaki dönemi içermektedir. Modelin analizi için Stata 14.0 kullanılmıştır. Uygulanan F, LM, LR ve Skor Testleri sonuçlarına dayanarak, klasik model reddedilmiş ve birim etkisinin varlığı belirlenmiştir. Hausman'ın spesifikasyon test sonuçlarına göre, rastgele etkiler modeli uygulanmıştır. Tesadüfi etkiler modelinde, hem heteroskedasite hem de otokorelasyon gözlenmiştir. Tesadüfi etkiler modelinin dirençli tahmincileri sonuçlarına göre, BİT sermaye girdisi ve BİT sermaye girdisi değişkenleri GSYİH üzerinde anlamlı bir etkiye sahiptir. BİT Sermaye Girdisinde % 1 artış, GSYİH'da % 0,0735 artış sağlamaktadır. BİT dışı Sermaye Girdisinde % 1 artış ise GSYİH'da % 0,5709 artışa yaratmaktadır. İşgücü kalitesi değişkeni GDP üzerinde istatistiksel olarak anlamlılık göstermemektedir.

Anahtar Kelimeler:

BİT Yatırımları, Ekonomik Büyüme, İşgücü Kalitesi

ICT INVESTMENTS AND ECONOMIC GROWTH IN EMERGING MARKET ECONOMIES

This paper examines, the relationship between Capital Input – ICT and Capital Input – Non ICT, Labor Quality and GDP growth in emerging markets by using the panel regression model. The data series have been obtained from “The Conference Board Total Economy Database”. These series are annual and include the years between 1996-2017. In order to apply the model on the computer, Stata 14.0 has been used. Based on the F, LM, LR and Score Tests results, the classical model was rejected, and the presence of the unit effect was determined. According to the Hausman's specifications test results, the random effects model was applied. In the random effects model, both heteroscedasticity and autocorrelation were observed. According to the results of the Robust Estimation of the Random effects Model, Capital Input – ICT and Capital Input – Non ICT variables has significant impact on GDP. 1% increase in Capital Input – ICT creates 0.0735% increase in GDP. 1% increase in Capital Input – Non ICT creates 0.5709 % increase in GDP. Labor Input–Quality variable does not indicate statistical significance on GDP.

Keywords:

ICT Investments, Economic Growth, Labor Quality,

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