In this study, a gender analysis of various dimensions that affect the food security status of households in the villages of Kermanshah County was conducted based on a sustainable livelihood framework. The non-experimental research method involved data collection, which was performed to identify causal relationships. There were 25,671 households in the agricultural sector of the villages of Kermanshah County. Among them, 750 people (375 women and 375 men in 375 households) were selected as a proportional sample based on a stratified sampling method. A questionnaire was used for data collection. The validity of the questionnaire was confirmed by expert opinions, and its reliability was confirmed by sequential theta coefficients (0.714-0.838). Structural equation modeling was implemented based on the Multiple-Indicator, Multiple-Cause (MIMIC) Bayesian approach. Then, the structural MIMIC model was presented as the basis for comparison between two groups. The results of the research indicate that men had greater food security than women in terms of food availability, accessibility, and stability in the studied households. Men had more financial capital, social capital, and natural capital than women and were more affected by vulnerability and the transformation of structures and processes. Conversely, women had more human and physical capital and better livelihood strategies than men. Therefore, the economic empowerment of women and the professional training of men in the region should be prioritized to improve food security and development programs. These results can play a decisive role in the continuation or halting of programs for achieving food security and sustainable development.
 

Keywords: Assets, Gender analysis, Kermanshah County, Multiple-indicator multiple cause Bayesian approach, Sustainable livelihood framework.

Full-Text [PDF 691 kb]   (1629 Downloads)