Volume 18, No. 6, 2021
Role Of Women's Empowerment In Achieving Sustainable Development Goals: Empirical Evidence From Central Punjab-Pakistan
Hafsah Batool & Muhammad Afzal
Abstract
Sustainable development is a way to structure a society in order to ensure its survival over the long haul. The 2030 Agenda for Sustainable Development cannot be achieved without empowering women. This research aims to quantify the impact of women's empowerment on SDG achievement in Pakistan's Central Punja. Primary data was collected from 257 female participants with the prevalence rate of female literacy in District Shekhupura through a well-structured questionnaire using the Multi-Stage Cluster Sampling technique. A Polychoric Principal Component Analysis (PPCA) used to build the Sustainable Economic Development Index (SEDI) in light of the SDGs. Using principal component analysis (PPCA), we calculate the Cumulative Women's Empowerment Index (CWEMI). The effect of CWEMI was studied using the Ordinary Least Squares (OLS) technique. SEDI is significantly influenced by CWEMI, respondent education and technology, and unpaid domestic care work and the number of children. The impact of different types of women's empowerment on Central Punjab's SED was also investigated using OLS as well. The Sustainable Development in Central Punjab is positively impacted by three of the six dimensions of empowerment: economic and psychological. Training women in rural areas of Central Punjab with marketable skills and setting up microcredit institutions to provide small loans to women will improve the economic standing of women and their families. Combating climate change and ensuring successful grassroots management and preparation for future generations from a young age requires a shift in the culture's perception of women's roles and increasing women's environmental awareness in Central Punjab. Central Punjab Region.
Pages: 6778-6809
Keywords: Women Empowerment, Determinant Factors, Polychoric Principle Component Analysis, Cumulative Women Empowerment Index