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.
 

This study explored the factors and drivers of livelihood pattern change in rural households through sustainable livelihoods Approach. The study was considered applicable and used a descriptive-analytic method. To collect the data, questionnaire and interview instruments were utilized. The statistical population was Minan rural households in Sarbaz border province (N=4544). Using Cochran’s sampling technique, 354 households were selected as the participants of the study. One sample t-test, chi-square, and logistic model were used for data analysis. Findings revealed that out of 354 respondents, 72.88 % believed their livelihood pattern had changed and 27.12% supposed no change. 15 out of 45 variables under study were considerably effective and had significant relationships with livelihood variable. Economical (0.400), personal (0.360), and geographical isolation (0.312) factors played major roles in this regard. Moreover, it indicated that out of 354 respondents, 39.8% assumed that they had chosen fuel smuggling, 25.4 % goods trading,  and 22.9 % service works as a reaction to this livelihood change for the living. Thus, it can be argued that integrated rural livelihood and accessible proper foundations for subsistence outside the farms (such as rural industries) can diversify living and prevent both livelihood change and use of illicit and hazardous activities, for instance, fuel and goods smuggling.