TY  - JOUR
T1  - Yüksek Teknoloji Ürün İhracatının Gelir Üzerine Etkisi: Translog Üretim Fonksiyonuna Dair Bulgular
TT  - The Impact of High-Tech Exports on Income: Findings on the Translog Production Function
AU  - Şanlı, Devran
AU  - Konukman, Aziz
PY  - 2021
DA  - December
DO  - 10.26650/ISTJECON2021-974011
JF  - İstanbul İktisat Dergisi
PB  - İstanbul Üniversitesi
WT  - DergiPark
SN  - 2602-4152
SP  - 457
EP  - 498
VL  - 71
IS  - 2
LA  - tr
AB  - Bu çalışmanın amacı, yüksek teknoloji(HT) ihracatın gelir üzerindeki etkisini panel veri yöntemleriyle 49 ülke ve 1988-2017 dönemi için hem  Cobb-Dougles  hem  de  Translog  üretim  fonksiyonu  altında  analiz  ederek  literatüre  yeni  bulgular  sunmaktır.  Translog  üretim  fonksiyonunda  HT-Gelir  ilişkisini  araştıran  başka  bir  çalışmaya  rastlanılmamıştır.  Bu  yönüyle  mevcut  analiz  öncül  bir  çalışma  özelliği  taşımaktadır.    Referans  modelde  SEK  varsayımlarının  karşılanamaması  nedeniyle  söz  konusu  problemlerin  varlığında  dirençli standart hatalar üreten Driscoll-Kraay yöntemiyle regresyon katsayıları tahmin edilmiştir. Ayrıca, seriler arasında eşbütünleşmenin varlığı artıkların durağanlığı ile araştırılmıştır. Elde edilen bulgulara göre, fiziki sermayenin ölçeğe katkısı olan gelir esnekliği 0,668; beşeri sermayenin  gelir  esnekliği  0,584  ve  HT  ihracatının  gelir  esnekliği  0,071  düzeyinde  hesaplanmıştır.  Bununla  birlikte,  HT  ihracatının  işgücü başına gelire azalarak artan, beşeri sermayenin ise işgücü başına gelire ise artarak artan bir eğri boyunca katkı verdiği tespit edilmiştir.  Fiziki  sermaye  ve  gelir  ilişkisinin  ise  doğrusal  olduğu  görülmektedir.  Bu  bulgular  ana  modellere  ek  olarak  alternatif  regresyon  yöntemleriyle  sağlamlık  kontrolünden  geçirilmiş  ve  mevcut modellerle uyumlu neticeler elde edilmiştir.
KW  - Yüksek Teknoloji İhracatı
KW  - Translog
KW  - Gelir
KW  - Panel Veri
N2  - This  study  aims  to  present  new  findings  to  the  literature  by  analyzing the impact of high-tech(HT) exports on revenue using panel  data  methods  in  49  countries  and  under  both  Cobb-Douglas and Translog production functions for the period 1988-2017. No other study has been found in the literature investigating the HT-Income relationship in the Translog production function. In this aspect, the current analysis is a pioneer study. Regression coefficients were estimated by the Driscoll-Kraay method, which produces robust standard errors in cases where OLS assumptions cannot  be  met.  Furthermore,  the  existence  of  cointegration  between the series was investigated by the stationarity of the residuals. According to the findings, the income elasticity of thephysical capital contributing to the scale is 0.668; income elasticity of human capital was calculated as 0.584 and income elasticity of HT exports was calculated as 0.071. However, HT exports have been found to contribute to income per labor force, while human capital contributes to income per labor force along an increasing curve. The relationship between physical  capital  and  income  seems  decidedlylinear.  These  findings  were  tested  for  robustness  with alternative regression methods in addition to the main models, and results compatible with the existing models were obtained.
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UR  - https://doi.org/10.26650/ISTJECON2021-974011
L1  - http://dergipark.org.tr/tr/download/article-file/1890176
ER  -