Abstract:

Economic growth is accepted as the ultimate goal of all economic activities for a nation. Because of this importance, it is the first economic indicator that comes to mind both in evaluating the success of national policies and in international comparisons. Recently, various machine learning approaches and artificial neural network models have been used in this field. The aim of this study is to reveal the sources of economic growth by using decision tree modeling, different from the literature. In this context, variables accepted as sources of growth in the literature such as savings, capital accumulation, labor, innovation, public expenditures, foreign trade, human capital, demographic factors, industrialization, and institutional factors are included in the analysis. The findings of the study present rules for economic growth and provide evidence that can be a reference to policy makers for high growth rates. The findings of the study reveal the importance of savings, innovation, exports and labor in stimulating growth in the Turkish Economy. The rules obtained for economic growth provide evidence that can be a reference for policy makers to ensure high growth.

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