Nonlinear Effects of Income Inequality and Modern Technologies on Public Health in Selected Countries
Keywords:
Income inequality, new technologies, health, threshold panel approach modelAbstract
The present article aims to examine the nonlinear effects of income inequality and modern technologies on public health in selected countries. For this purpose, the Panel Smooth Transition Regression (PSTR) model was applied using annual data from selected developed and developing countries during the period 2010–2023. Based on the results, a one-unit increase in research and development expenditures, the technology development index, per capita income, gross fixed capital formation, and human capital respectively leads to an increase of 0.14, 0.13, 0.37, 0.26, and 0.46 units in the public health index in developed countries, and 0.09, 0.10, 0.15, 0.27, and 0.22 units in developing countries. Furthermore, a one-unit increase in unemployment, income inequality, and the inflation rate respectively leads to a decrease of 0.07, 0.002, and 0.08 units in the public health index in developed countries, and 0.31, 0.23, and 0.15 units in developing countries. Individuals’ access to higher levels of education, population growth, high unemployment, and inflation—beyond their effects on income levels and income distribution—can also influence quality of life, thereby improving or worsening health conditions in society. On the other hand, with an increase in literacy rates and, consequently, public awareness, individuals can play a more effective role in society and thereby achieve higher income levels. Considering the obtained results and given that income equality plays a significant role in human development and, consequently, in comprehensive development, it is recommended that policymakers pay special attention to the implementation of fair income distribution policies.
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