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- Owramanat County in Kermanshah province with 14 tourism regions, is one of the best tourist destinations of Kermanshah province, in which the tourism activists have faced challenges during the period of the outbreak of the Covid-19 pandemic. The purpose of the present study is to evaluate and analyze the resilience of rural tourism and identify the key drivers affecting it in the face of Covid-19 pandemic in Owramanat County. Design/methodology/approach- the present applied, quantitative study has been conducted with a combined approach (combination of descriptive-analytical and exploratory methods). The questionnaire method was used for data collection and its validity and reliability have been confirmed by observing scientific principles. In order to achieve the purposes of the study, the opinions of 150 people from the local community active in the field of tourism were used to evaluate the resilience, and the opinions of 30 experts were used to identify the primary factors affecting the resilience and also the views of 25 experts were taken into consideration in order to identify the key drivers affecting the resilience of rural tourism. The SPSS and MICMAC software were used to analyze the collected data. Findings- The research findings showed that, the average of four variables including local government budget, environmental knowledge, community welfare, and social support system as the main components of the resilience of rural tourism were 1.757, 2.358, 1.808, and 2.295 respectively and have been significantly lower than the base average. The overall assessment results showed that the calculated average with a value of 2.014 has been significantly lower than the medium level. The results also showed that, among 17 factors affecting the resilience of tourism, 5 factors of government financial support, financial capital, sanitary equipment, infrastructural facilities and disease control are the most effective key drivers on resilience. Originality/ value- Evaluation and analysis of the resilience of rural tourism in the face of Covid-19 pandemic with an approach of presenting the key indicators and variables in this field and also identification of key drivers affecting the resilience of rural tourism have received less attention from researchers and this proves the originality of the present study.