Research and Development and High Technology Exports in Selected Countries at Different Development Stages: a Panel Co-integration and Causality Analysis

Bayraktutan, Yusuf; Bıdırdı, Hanife; Kutlar, Aziz

doi:10.1007/978-3-658-16962-6_3

Cited by 2 publications

(1 citation statement)

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“…Based on the variables in the definition of financial risk, it seems that financial risk can also affect income inequality; thus, low financial risk not only stimulates the diversification of domestic consumption but also helps to expand the production of goods and services to facilitate comparative advantage by reducing financial costs and produce more products with comparative advantage. Many studies such as Bayraktotan et al (2017) and Tabaldi (2011) have confirmed the positive effect of financial risk on exports with high technology.…”

Section: Theoretical Backgroundmentioning

confidence: 88%

Economic complexity, scientific productivity and income inequality in developing economies

Sepehrdoust

Tartar

Gholizadeh

2021

Econ of Transit and Inst Chang

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The state of income distribution in developing countries is important from an economic perspective, including per capita income, national savings, society's welfare and a sociopolitical perspective for governments to attract public voters.Therefore, economic justice has always been a concern of governments because of its undeniable economic and social consequences. The purpose of this study was to examine the impact of macroeconomic variables such as economic complexity, scientific productivity and various economic, financial and political risks on the situation of income inequality in developing economies during the years 2000-2019, using an econometric Panel-VAR method. The results showed that income inequality in selected middle-income developing countries is moving towards better status due to an increase in scientific productivity and a reduction in economic, financial and political risks. While income inequality decreases as economic complexity increases above a certain threshold. The results of the analysis of variance decomposition showed that among the explanatory variables, the economic complexity has the largest share in describing the Gini coefficient as the index of income inequality distribution.

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Section: Theoretical Backgroundmentioning

confidence: 88%