Assessing Income Disparity Among Scientific and Technical Personnel: A Comparative Analysis Utilizing Gini Coefficient and Theil Index

Abstract

This study examines the income gap among scientific and technical personnel through the lens of two widely used inequality measures: the Gini coefficient and the Theil index. Drawing upon comprehensive data from diverse sectors and regions, we employ rigorous statistical analyses to elucidate the extent and nature of income inequality within this critical occupational group. Our findings reveal notable variations in income distribution patterns, uncovering disparities that transcend traditional boundaries of expertise and specialization. By integrating both the Gini coefficient and Theil index methodologies, we offer a holistic perspective on income inequality dynamics, capturing nuances that might otherwise remain obscured by singular metrics. Moreover, through subgroup analyses and regression modeling, we identify key determinants and drivers of income divergence, shedding light on structural factors and policy implications. Ultimately, this research underscores the importance of addressing income inequality within the scientific and technical workforce, not only for social equity but also for fostering innovation and sustainable development in the knowledge economy.