Akademik Veri Yönetim Sistemi
Umteb 16th International Scientific Research Congress, Adana, Türkiye, 6 - 08 Aralık 2024, ss.1600, (Özet Bildiri)
In the last decade, high technology has been much more critical than it has ever been.
Manufacturing of high technology products and exporting them to the world contributes to
economic growth of countries and it also creates opportunities for the economies to increase
their competitiveness in the global economy. In this regard, high technology export (HTEX)
performance has been used as an extensive measure of the competitiveness of countries.
Although there have been many attempts to define the determinants of HTEX in the literature
there is not a consensus on the issue yet. Therefore, this study aims to determine the relative
efficiency of countries based on their HTEX determinants (such as quality of math/science
education, number of scientists and engineers, companies spending on R&D, foreign direct
investment) using data envelopment analysis (DEA). DEA is a powerful quantitative
analytical technique used to evaluate the relative efficiency of decision-making units (DMUs)
such as organizations, public sector agencies, businesses and countries. It is particularly
valued for its ability to handle multiple input and output variables without needing to
explicitly define a functional form, making it a non-parametric method.
The results have shown that when comparing countries in terms of high-tech exports, it is
fairer to consider how well they utilize their existing resources. Instead of expressing the
volume of High-Tech Exports directly as the success of countries, it is more meaningful to
consider their efficiency