Document Type : scientific-research article
Authors
1 Associate Professor of Geography and Rural Planning, Shahid Chamran University of Ahvaz, Ahvaz, Iran
2 Associate Professor of Geography and Urban Planning, Shahid Chamran University of Ahvaz, Ahvaz, Iran
3 MA student of Geography and Rural Planning, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Abstract
Technical and vocational training not only aims to prepare the workforce needed for various sectors of the economy but also helps address unemployment by fostering self-employment. This alignment with labor market needs enhances the potential for integrating individuals into socio-economic activities. Accordingly, the present study was conducted to investigate and analyze the factors influencing the impact of technical and vocational training on the development of employment among rural women in the dehestans of Behmai County. This research is applied-theoretical in purpose and descriptive-analytical in nature and methodology. The statistical data were collected through library and field methods (questionnaires, interviews with relevant officials). The statistical population of this study consists of women aged 18 to 65 who participated in training courses. The sample size was determined using Cochran's formula, resulting in a sample of 384 individuals. Sampling was conducted randomly, and the analysis was quantitative, utilizing the t-test and multi-criteria decision-making models (ARAS). The results indicate that the factors influencing technical and vocational training on the employment of rural women vary across four dimensions: socio-cultural, economic, managerial, and environmental. The five dehestans of Behmai County were ranked as follows based on 76 indicators: Dehestan-e Alvan with a score of 0.3289; Kafshkanan with a score of 0.1745; Northern Behmai-e Garmsiri with a score of 0.1153; Southern Behmai-e Garmsiri with a score of 0.1116; and Rud-e Talkh with a score of 0.0675. Therefore, Dehestan-e Alvan, with a higher score, ranks first, while Rud-e Talkh, with the lowest score, ranks last. Consequently, it is recommended that planning be tailored to the environmental conditions and the significance of influencing factors in each dehestan.
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