Redesigning a sustainable livelihood framework with a cooperative village approach using the Bayesian method

This research has been done with the aim of designing a sustainable living model with a cooperative village approach. The present study is a quantitative research of the correlation method. The research is the effect of livelihood capital on the sustainable livelihood of members of cooperative companies in the cooperative village plan. The research statistical population includes 198 managers of cooperatives under the auspices of the cooperative village who were selected by proportional assignment sampling. As data input was used in this research. The content and face validity of the questionnaire was confirmed by a panel of experts. Using the pilot study and calculating the Cronbach's alpha coefficient, its reliability was ensured. Findings from path coefficients showed that the variables of financial capital (.419), physical capital (.402), social capital (.314), human capital (.256) and natural capital (.222), respectively. The most effective variables on sustainable livelihood are the members of cooperatives covered by the cooperative village plan. The results obtained from the analysis using Bayesian method (Baysian SEM) showed that the degree of stability and continuity in business in financial capital, the degree of access to communication tools in physical capital, the degree of participation in activities related to social crises Social capital, the level of interest in new work and innovation in human capital and the potential natural facilities of the village for tourism in natural capital have had the greatest impact.