Nexus Between Gender, Wage, Income Level and Productivity

Wage, gender and income inequalities and low productivity are the main issues confronting many developing countries like Pakistan and these issues need in depth investigation in order to understand their causes and effects. A structured questionnaire was administered to 307 employees in public and private educational institutions. Various statistical techniques such as descriptive statistics, correlation matrices, ANOVA tests, and multiple regression analysis were employed to estimate relationship between dependent and independent variables. The findings revealed a significant positive association between wages and employee productivity, suggesting that higher wages lead to increased productivity levels. Conversely, income levels displayed a negative correlation with productivity, implying that higher incomes may diminish motivation for improving performance. This suggests that policymakers and institutions should explore alternative motivational factors beyond just income to enhance employee engagement and performance.