حمیرا کریمی واحد

  Central Asia faces numerous sustainable development challenges. These include limited natural resources, weak institutions and governance, and reliance on extractive industries. Despite these obstacles, the region has significant sustainable development potential. To unlock this potential, a combination of policy and market-based solutions, as well as investments in human capital and infrastructure, are required to address these challenges. Therefore, sustainable development is crucial as it provides a comprehensive framework for development. The following dissertation aims to holistically examine the women’s participation on Sustainable Development in Central Asia with an emphasis on Uzbekistan post-cold war era. The main question is “What is the influence of women’s participation on sustainable development in Central Asia with an emphasis on Uzbekistan as a case study after the Cold War?” and the hypothesis to answer this question is: “co  icuous presence of Central Asian countries’ women around the table of decision-making and policy making has a positive influence on promoting sustainable development through all three pillars of the economy, social, and environment’’. According to this research’s findings sustainable economic development in Central Asia, including Uzbekistan, is positively affected by women's economic participation. According to research, increasing women's economic participation, can result in higher GDP growth and higher living standards. In addition, women's labour force participation can contribute to gender equality, which is crucial for sustainable development. However, women in Uzbekistan and the rest of Central Asia continue to face significant obstacles to full participation, such as cultural norms, lack of access to education and resources, and unequal labour laws. Finally, this thesis employs a descriptive-analytical methodology, with data gathered largely through library research and online sources. Methods from the field of explanatory research were used to write this thesis. Quantitative and qualitative approaches are used to analyse the data.