Analysis of factors and stimuli affecting the vitality of rural households in Torbat-e Heydarieh

One of the new concepts in today's topics of sustainable rural development is Happiness. Most development-related organizations have mentioned vitality as important indicators of sustainable rural development. The 20-year vision document of the Islamic Republic also emphasizes the need pay attention to provide grounds for the growth human the cultivation of healthy, However, most important ways to study freshness in rural areas is to identify the factors that affect it. Accordingly, the purpose of this study was to investigate the factors and stimuli affecting the vitality of rural residents. The present research is descriptive-analytical in terms of applied purpose and method of doing it. Data collection tools were questionnaires and interviews from selected samples consisting of 210 households from the statistical population of rural households in Torbat-e Heydarieh (N = 23105) using personal estimation and quota sampling method. Descriptive statistics and structural equation modeling were used to analyze the data. The results of measuring the vitality of rural households using the Fordis questionnaire with a score of 361 indicate that the vitality of households was at a desirable level. The results obtained from modeling structural equations showed that the second standard model of household vitality and vitality, respectively, the path coefficients affected by the economic factor with a path coefficient of 0.41 has the highest factor load. Then, respectively, the institutional-managerial factor with a coefficient of 0.37, the social factor with a coefficient of 0.28, the personal-psychological factor with a coefficient of 0.28, the physical factor with a coefficient of 0.27, the environmental factor with a coefficient of 0.21, the enjoyment factor With the path coefficient of 0.18 and finally the geographical factor with the coefficient of 0.14 are in the next ranks. The p value of all Lameda parameters in the above model indicates the confirmation of all relationships.