Although there are still significant inequalities, women’s labor force participation has increased in many parts of the world. These disparities are linked to socio-economic, territorial, and institutional conditions, such as access to land, quality of infrastructure, and the availability of decent work in both urban and rural areas. To understand how these socio-economic and spatial factors interact with national economic and policy frameworks is essential for analyzing gender participation in work. In this study, we examine the structural, territorial, and socio-economic factors shaping female labor force participation in 49 countries between 2013 and 2022, covering Europe, Asia, Latin America, and Africa. We investigate the interaction between macroeconomic conditions, public investment in education, and spatial inequalities. In addition, we focus on how these factors work together within different institutional settings. The analysis also considers territorial aspects such as urban–rural differences, regional development issues, and land-related livelihoods. The data were collected from the World Bank’s World Development Indicators to build a balanced panel. We implemented a Bayesian hierarchical panel regression model to understand how economic, institutional, and spatial factors jointly influence women’s participation in the labor force across different national and regional contexts. For model specification, we used standardized predictors and country-level intercepts to allow the model to account for institutional differences. The results indicate that national income levels and female unemployment rates are the most important factors affecting participation. On the other hand, tertiary enrollment and public education spending have weaker or mixed effects. Notably, although more women now complete higher education, many, especially in non-OECD countries, still face barriers to entering formal employment. Furthermore, in many developing countries, women still encounter restricted access to formal and secure jobs, particularly in rural and less developed areas. These findings show that economic growth is not the only factor needed to achieve gender equality in the labor market. Sustainable progress requires plans that bring together labor reforms, better education, care services, and fair growth in all regions. It is also important to fix problems with land, close the gap between cities and villages, and address environmental challenges. By linking labor markets, education, and land-linked spatial constraints, the study informs SDGs 5 (Gender Equality), 8 (Decent Work and Economic Growth), and 10 (Reduced Inequalities).
Bediha ŞAHİN (Wed,) studied this question.