Spatial Analysis of Factors Affecting Rural Women's Entrepreneurship (Case Study: Marivan County)

Women's participation in the labor force and socioeconomic activities is now recognized as one of the key identifiers of human development. because social wellbeing and poverty are intimately correlated with women's economic activities. As a result, the current study's goal is to spatially evaluate the variables influencing rural women's entrepreneurship with a focus on handicrafts. In terms of its goal, method of data collection, and descriptive-analytical analysis, the current study is an applied one. For statistical analysis of the data, we utilized SPSS software's Spearman correlation coefficient, regression, and path analysis tests. For geographical analysis, we used ARCGIS software's spatial statistics models of hot spots analysis, spatial autocorrelation (Moran index), and IDW interpolation. The findings of the research show that according to the results of the path analysis test, economic, political and socio-cultural indicators have the most influence and technological factors have the least influence on rural women's entrepreneurship. Also, according to the results of the regression analysis, the indicators of government support, market, infrastructure, raw materials, education and information have the greatest impact on the entrepreneurship of rural women in the studied villages and the least impact on the entrepreneurship of rural women in the studied villages to social factors, equipment and new methods and approaches.