Panel Estimation of High-technology Export Determinants: Evidence from Fast-Growing Countries

Sevilay Konya (), Mücahide Küçüksucu () and Zeynep Karaçor ()
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Sevilay Konya: Selçuk University
Mücahide Küçüksucu: Necmettin Erbakan University
Zeynep Karaçor: Selçuk University

A chapter in Eurasian Economic Perspectives, 2021, pp 245-259 from Springer

Abstract: Abstract This study is including fast-growing emerging countries (Brazil, Russia, India, China, South Africa, and Turkey) and using the panel data analysis methods for high-technology exports of determinants 1996–2017 period. We chased some variables for our analyses, they are as follows: high-technology export is dependent variable, and economic growth, foreign direct investment, gross capital formation, patent, and trade openness were used as independent variables. After the stability of the variables was tested with first-generation unit root tests, cointegration tests were used to investigate the long-term relationship between the variables. As a result of the study, long-term relationship was determined between the variables discussed. After determining the cointegration relationship, the coefficients were estimated with the FMOLS (Full Modified Ordinary Least Square) estimator. The effects of economic growth, foreign direct investments, patents, and trade deficit on high-technology exports were found to be significant. As a result, product exports should be increased with the support of high technological product exports.

Keywords: High-technology export; Panel data analysis; Economic development; Cointegration (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:eurchp:978-3-030-63149-9_16

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DOI: 10.1007/978-3-030-63149-9_16

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