Socio-Economic Factors Affecting Women Empowerment: An Empirical Analysis

The objective of this paper is to explore relationship between various socio-economic factors and women empowerment, using 20 years' time series data spanning from 2001 to 2021. The dependent variable is women empowerment while independent variables include fertility rate, mortality rate, population growth, literacy rate, health facilities and female labor force participation. Different statistical techniques such as Descriptive statistics, Correlation matrix and ARDL Model were employed to analyze data. The findings reveal that mortality rate, population growth rate, health facilities and literacy rate have positive and statistically significant association with women empowerment whereas unemployment, female labor force participation and fertility rates have negative link with it in the long run.