A Comparative Study on Turkey’s Science and Technology (S&T) Indicators

Science and technology (S&T) indicators are important in evaluating how successful countries are in factors described by endogenous growth models. Accordingly, the aim of this paper is to investigate S&T indicators of Turkey in a comparative and more hitherto comprehensive study and to present a guiding reference for researchers and decision makers working on innovation and technology policies. This study was carried out using online databases such as those of the OECD, World Bank, Eurostat, and TÜİK considering the criteria used in the literature to measure countries’ R&D and innovation performances, and Turkey’s innovative performance is presented in comparison with the world’s by summarizations within the scope of the study. The results demonstrate that Turkey has made significant progress in the last 20 years in terms of R&D and innovation, but it is still far from reaching the indicators of developed countries. In particular, the increase in R&D and innovation performance has decreased due to the economic difficulties experienced in the world and in Turkey after 2012 and 2013. Based on the indicators evaluated in this study, some suggestions are given and prioritized to increase Turkey’s innovation performance.

Incorporating Fuzzy Logic in Harrod’s Economic Growth Model

This paper suggests the possibility of incorporating the methodology of fuzzy logic theory into Harrod’s economic growth model, a classic model of economic dynamics for studying the growth of a developing economy based on the assumption that an economy with only savings and investment income is in equilibrium when savings are equal to investment. This model was the first precursor to exogenous growth models, which in turn gave rise to endogenous growth models. This article therefore represents a first step towards introducing fuzzy logic into economic growth models. The study concerned considers consumption and savings to depend on income by means of uncertain factors, and investment to depend on the variation of income through the accelerator factor, which we consider uncertain. These conditions are used to determine the equilibrium growth rate of income and investment, as well as the uncertain values for these variables in terms of fuzzy numbers. As a result, the new model is shown to expand the classical model by incorporating uncertainty into its variables.

A Comparative Study on Turkey’s Science and Technology (S&T) Indicators

Science and technology (S&T) indicators are important in evaluating how successful countries are in factors described by endogenous growth models. Accordingly, the aim of this paper is to investigate S&T indicators of Turkey in a comparative and more hitherto comprehensive study and to present a guiding reference for researchers and decision makers working on innovation and technology policies. This study was carried out using online databases such as those of the OECD, World Bank, Eurostat, and TÜİK considering the criteria used in the literature to measure countries’ R&D and innovation performances, and Turkey’s innovative performance is presented in comparison with the world’s by summarizations within the scope of the study. The results demonstrate that Turkey has made significant progress in the last 20 years in terms of R&D and innovation, but it is still far from reaching the indicators of developed countries. In particular, the increase in R&D and innovation performance has decreased due to the economic difficulties experienced in the world and in Turkey after 2012 and 2013. Based on the indicators evaluated in this study, some suggestions are given and prioritized to increase Turkey’s innovation performance.

CAPITAL AND GROWTH

This paper develops and discusses a neoclassical growth model with two inputs: physical capital stock and combined stock of human and intellectual capital. The production process is subject to diminishing returns to capital in perfect markets, in sharp contrast to new endogenous growth models that assume increasing returns to capital in imperfect markets. The model finds that a high saving rate raises both transitional and steady state growth rates of output through increases in physical, human, and intellectual investments that augment labor productivity—a key extension of the Solow (1956)-Swan (1956) growth model. Additionally, the paper derives an optimal rule for choosing the saving rate that maximizes consumer welfare. Implications for growth policies are drawn.

Sustainable Development with Schumpeter Extended Endogenous Type of Innovation and Statistics in European Countries

In the economic growth models, technological progress is either exogenous or endogenous. The endogenized theory is based on analytical modeling of the economic process in order to include the event of innovating. Theory around the subject innovation and economic growth also includes several independent parameters that have a strong impact over innovation. However, few of them established creativity as an independent parameter of innovation. The present paper aims to extend the endogenized theory in order to include creativity as an independent parameter of innovation, based on the evidence of a panel data of 28 countries, through 8 years. A theoretical model, a multiple linear regression, an ANOVA analysis and correlational matrixes were used in order to fulfill our purpose. Results show that innovation is determined by the level of knowledge twice as much as the level of creativity. A conceptual framework for an extension of endogenous growth models, in order to include creativity, is presented in the paper. The model can enhance economic growth by fostering creativity or knowledge and thus, the size of innovation, which is the main driver for economic growth in the model presented.

Inequality

By whatever indicator it is assessed, inequality has been rising in recent years. This book considers it a macroeconomic issue and innovates by including it among its topics. The chapter begins by reviewing evidence and facts on inequality, measurement issues, and the relation with poverty. The macroeconomic models of income distribution reviewed next include vintage models, endogenous growth models, and whether inequality can be accommodated in ‘representative-agent’ models. Attention then turns to ‘factor’ (labour-capital) income shares, which have also been changing recently, reviewing both the relevant analytics and the possible processes that underlie this change. The chapter concludes with recent debates on determinants of inequality, the evolution of the labour share (the ‘r-g’ question), and the future of income distribution.