Yüksek Teknoloji Ürün İhracatının Gelir Üzerine Etkisi: Translog Üretim Fonksiyonuna Dair Bulgular

Year 2021, Volume: 71 Issue: 2, 457 - 498, 31.12.2021

Devran Şanlı , Aziz Konukman

https://doi.org/10.26650/ISTJECON2021-974011

Abstract

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.

Keywords

Yüksek Teknoloji İhracatı, Translog, Gelir, Panel Veri

Thanks

Bu çalışma, birinci yazarın ikinci yazar danışmanlığında tamamlanan doktora tezinden türetilmiştir.

The Impact of High-Tech Exports on Income: Findings on the Translog Production Function

Abstract

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 the  physical 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 decidedly linear. 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.

Keywords

High-tech exports, Translog, Income

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