درخت حوزه‌های تخصصی

Purpose- The consequences of drought and the damages inflicted on the rural community, which are major challenges confronting rural communities to achieve sustainable development, mirror the poor resilience of farmers against this risk. Therefore, the main issue of the current research is to explore the factors affecting Pakdasht farmers' drought resilience. Design/Method/Approach: This paper adopts a descriptive-analytical research method. The data collection is based on library study analysis and field surveys. The main data collection instrument is a questionnaire completed by the subjects (n=381 farmers). Data analysis was conducted using SPSS software as well as t-test, regression, analysis of variance, the COCOSO technique and the COPELAND technique. Finding- The t-test was used to investigate the drought resilience status of villagers. The socio-cultural, psychological, and economic components, except for those related to the extent of damages, environmental factors and institutional performance, and the scale of civil and physical development in the region under study, were in a balanced and favorable condition, but the items of the institutional framework, institutional relations, and technological level and infrastructure were not desirable. The correlation between researches indices in the region is 0.747, meaning that mentioned indices can explain 74% of the variances. The result of the ANOVA test suggested that the villages of Pakdasht County were not significantly different in terms of the psychological index (Sig=0.085) of resilience. Informed by the findings of the COCOSO technique, the farmers of Filestan village are more drought-resistant than the farmers in other villages. Greater participation of people, diversity of economic activities, appropriate physical and civil development, technological advancement and more suitable infrastructure are some of the factors that contribute to the higher resilience of farmers in this village. According to Copeland’s method, the variables of education and awareness as well as the diversity of economic activities of the farmer's household ranked high in terms of importance. Originality/value- The results of this research can help organizations in charge of handling drought in the villages of Pakdasht to gain deeper insights into the existing conditions so that they can enhance the resilience of farmers during drought using the presented solutions. It also allows officials to diversify economic activities and promote complementary businesses as effectively as possible.

Purpose- Nowadays, the smart growth approach plays a significant role in sustainable rural development. This approach seeks to improve the quality of human life and respond to socio-economic, environmental and physical problems and issues and can pave the way for rural management in order to make optimal use of facilities and solve rural problems. The purpose of this study is to identify and analyze the drivers of the effect of smart growth approach on sustainable development of rural settlements in Jiroft County. Design/methodology/approach- This study is applied research and it is descriptive-analytical in terms of nature. Data has been collected through documentary and field study. To extract the key drivers of the effect of smart growth approach on sustainable development of rural settlements in Jiroft county, a questionnaire has been prepared in the form of a Micmac questionnaire and distributed and completed among the sample community. 36 questionnaires were considered for rural experts, relevant organizations. The data analysis and structural analysis of the effect of smart growth approach indicators on the sustainable development of rural settlements were conducted using Micmac software. Finding- The results showed that among the 57 studied factors, 14 key effective drivers were identified that according to the high score of direct and indirect effect, factors such as utilizing existing infrastructure to increase villagers' employment and income, (direct (+10) indirect (+7205), improving land and housing prices in rural areas, direct (+9) indirect (+6959), villagers' satisfaction of increasing rural relations with outside (city and other villages), direct (+8) indirect (+8356) have the most effect compared to other drivers.