Assessing the Impact of High-Technology Exports on  the Growth of the Turkish Economy

Sofuoğlu, Emrah; Kızılkaya, Oktay; Koçak, Emrah

doi:10.26650/jepr950483

Cited by 2 publications

(2 citation statements)

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“…The convergence hypothesis, which is one of the main implications of the Solow model, is based on the assumption that technological change is external and constant between countries. Accordingly, per capita output levels of countries will approach each other, and the development differences will automatically disappear in the long term [35].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Causality between Technological Innovation and Economic Growth: Evidence from the Economies of Developing Countries

2022

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Economic growth is a tool for measuring the development and progress of countries, and technological innovation is one of the factors affecting economic growth and contributes to the development and modernization of production methods. Therefore, technological innovation is the main driver for economic growth and human progress. Spending on innovation, research and development as well as investment in innovation supports competition and progress. Accordingly, sustainable economic growth is achieved. This ensures the preservation of resources for future generations and the achievement of economic and social growth. Moreover, a sustainable educational level of the workforce, investment in research, creation of new products, and investor access to stock markets will be ensured through the development of the public and private sectors and the improvement of people’s living conditions. Our study aimed to measure the impact of technological innovation on economic growth in developing countries during the period 1990–2018. To this end, the error correction model (ECM) method has been applied. The results showed that the variables are unstable in the level and stable after taking the first difference. Co-integration was also tested using the ECM, and Granger’s causality test for the direction of causation. The test results showed that an increase in technological innovation indicators (such as spending on education, number of patents for residents and non-residents, R&D expenditures, number of researchers in R&D, high-tech exports, and scientific and technical research papers.) leads to an increase in economic growth in the short term and the long-run with a long-run and two-way causal relationship between technological innovation and GDP, and short-run causation spanning from technological innovation to GDP. The study also concluded that technological innovation has a direct impact on the sustainability of a country’s economic growth, which is why it is crucial to adopt strong policies that encourage international investors to allocate capital for development in developing countries and thus encourage more research and development.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Causality between Technological Innovation and Economic Growth: Evidence from the Economies of Developing Countries

2022

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“…The ndings from a machine learning technique for verifying causality approach revealed that infrastructure affects economic growth. The policy implication suggested that lack of infrastructure maintenance eliminates the positive effects of investments and comparative advantage over time in the medium term Sofuoğlu et al (2022). explored the relationship between infrastructure (high technology) on economic growth employed the modi ed ordinary least square and canonical cointegration regression data from 1990 to 2019.…”

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confidence: 99%

Causal analysis of trade openness, government expenditures and economic growth in Nigeria (1980-2020): Recalling economic policy corrective actions

Zaria

2022

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This research investigates the causality relationship between trade openness, government expenditures and investment in infrastructure's relative advantage of economic growth for recalling economic policy corrective actions. Based on the theory of comparative advantage and elementary neoclassical trade model that concentrating on different productivity would improve trade and development potentials of the country. It employs Johansen cointegration and Granger causality techniques to examine the comparative advantage theory and assess the short-run and long-run relationship. Annual time-series data from 1980 to 2020 shows the relationship between trade openness, government expenditures on education and investment in infrastructure are statistically significant for economic growth in Nigeria. There is a cointegration relationship among the indicators with relative advantage, and Granger causality reveals short-run. There is a bidirectional relationship between trade openness and economic growth. While a unidirectional relationship between trade openness and infrastructural development on economic growth. Hence, this research realize that human capital development does not affect economic growth. The policy recommendations imply that all the indicators are solid macroeconomic factors following the empirical analysis for emphasizing the relative advantage of trade openness in Nigeria. The policymakers should consider trade diversification through development of infrastructure, human capital development to increase productivity toward economic growth.

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Assessing the Impact of High-Technology Exports on the Growth of the Turkish Economy

Cited by 2 publications

References 50 publications

Causality between Technological Innovation and Economic Growth: Evidence from the Economies of Developing Countries

Causality between Technological Innovation and Economic Growth: Evidence from the Economies of Developing Countries

Causal analysis of trade openness, government expenditures and economic growth in Nigeria (1980-2020): Recalling economic policy corrective actions

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