In this study, the relationship between rural deprivation and environmental sustainability was analyzed. The present research is applied in a targeted, applied way and the method is descriptive-analytical. The data gathering tool was a questionnaire, an interview with the locals, a statistical journal of Lorestan province and data from the deputy of rural development and deprived areas. The statistical population includes rural households in Poldokhtar Township (N= 10619). Using Cochran formula and simple random sampling, 400 households were selected as samples. In order to identify the most important indices of deprivation from the exploratory coincidence rating test, One-sample t-test was used to determine the environmental sustainability factors and Finally, Tobit model was used to investigate the relationship between rural deprivation and environmental sustainability. The results show that the highest rate of rural deprivation is related to the economic and cultural deprivation. In the context of environmental sustainability factors, the results show that none of the factors is in stable condition. Water resources, trees, pasture, and pastures are in a state of instability and the only factor that has a somewhat stable status is the soil. Investigating the relationship between deprivation dimensions and environmental instability shows that the economic and social dimension of deprivation has the most impact and relationship with environmental instability. While cultural deprivation of the region, although high has had the least relationship with environmental instability. Therefore, it can be said that to reduce environmental instability and prevent environmental degradation, consideration should be given to the dimensions of deprivation and planning to reduce it.
 

The purpose of this paper is to investigate the social, economic, and environmental effects of drought from the viewpoint of villagers, with the structural equation modeling approach. The purpose of this study is of applied research type, and is essentially a descriptive-correlation research. The population of the study, 1762 heads of households and sample size were determined according to Cochran formula, 316 people. Data analysis was performed using SPSS22 software and Structural Equation Modeling (SEM). In this research, the observed variables were obtained for three components: economic, social, and environmental. Three first-factor factor analysis models were designed, measured, and validated for measuring three sub-scale droughts. Finally, the role and effect of observed variables and their triple components derived from the drought, as the main hidden dependent variable, and the relationships between them, were analyzed with the help of a structural model of the factor-factor analysis (CFA) of the quadratic factor of the second order. The results of the fitting and validation of all three models of drought measurement, and the realization of goals, as well as the quadratic model of second order, were evaluated based on the data for drought evaluation. Finally, drought affected by socioeconomic and social indicators of 0. 97, and environmental index was 0. 87, so the drought in the studied villages areas had the greatest impact on economic and social indicators, and As a result, it has been placed on an environmental index.

The main purpose of this research is to test the agglium of Hormozgan province for the development and development of aloe vera plant cultivars in the base period and the period of change. In this regard, the influential data in the various stages of the aloe vera plant, including the minimum and maximum temperature and precipitation, as climatic agents and height variables, gradients, direction of gradient, soil, as stable elements in the evaluation of aloe vera cultivation areas were used. The multidimensional decision-making technique in the GIS environment was used using fuzzy gamma function for interruption and eventually identifying appropriate arenas for aloe vera plant. The role of climatic changes in two levels of alteration of B1 and A2 was investigated to evaluate changes in Aloe Vera cultivation agriculum in Hormozan province. The results of the implementation of the Fuzzy Gama integration function in Hormozgan province showed that in the base period, 0.35 of the area of ​​the province has good and excellent culture for this plant. These areas are generally consistent with the lowlands of the southern sections of the southern province and are consistent with the soils with tissue and depth and drainage, namely, the arid soils of Sevil and anti-Seville, while in the northern parts of the province, the supply factor, supply The need for an aloe vera plant, tolerance in the year and nightly, the product performance is very weak and the development of aloe vera farms in these areas is not recommended. In the simulated climatic conditions for 2070 under the 2ndretic scenarios, aloe vera arenas will have relatively significant changes compared to the climate of the base period, so that the most variations related to the A2 scenario, in which poorly functional floors are lacking. And moderate culture capabilities have been exposed to an area of ​​30 to 40 percent, while the two floors of the agricultiva capability and good culture capabilities, under the same system, will show an increase of 20 to 40 percent.

Entrepreneurship can have many positive effects in rural communities on the one hand, they face economic problems, especially in the areas of employment, poverty and lack of income and On the other hand, they have high environmental capabilities. This research is based on information collected through documentary and survey methods and Aiming to enable the development of entrepreneurship in major sectors of economic activity It has been done in the villages of the central District of Boyer-Ahmad County. The results showed that despite the motivation for progress, hard work and high risk-taking of employees in major sectors of economic activity (Agriculture, Industry and Services), The general situation of their entrepreneurial variables with an average of 2.618, At 99% confidence level, it is below average. The results showed the feasibility of the sub-sectors of economic activity Four economic subsectors of medicinal plants, Aquaculture, mineral water resources and tourism, respectively by average 3.548, 3.691, 3.705 and 3.419, They have high potential for entrepreneurship development. Also showed the results of Pearson test The degree of correlation between independent variables (Production of medicinal plants, aquaculture, mineral water resources and tourism) and Research dependent variable (entrepreneurship), Has been positive and statistically significant Respectively with 0.519, 0.179, 0.398 and 0.533 values.