Sustainable Economic Growth Development for the Higher Education Sector: A Smooth Transition Regression (STR) Analysis

Abstract

This study will examine sustainable economic growth in higher education as one way of enhancing capital, leading to economic growth. Even though nonlinearities are essential, this study series commonly includes a linear relationship. This study investigates the linearity assumption within time series techniques from 1990-2019 in Syria. To answer this issue, the authors use smooth transition criteria to switch from a linear to a nonlinear framework. This study related to the Syrian economy highlights the nonlinearities between education and the growing economy for tertiary education. The linear analysis supports that economic growth was positively correlated with education: The rate of economic expansion in Syria is inversely proportional to educational tertiary. In addition, it showed similarities in positive values for Government expenditure and workforce participation rates in the model's lower regime. By contrast, value evaluation switches from negative to significant within the model's upper regime.