Rural Planning
Mahbob Babae; Hamid Jalalian; Hasan Afrakhtehh
Abstract
IntroductionDuring the last two decades, the villages around Lake Urmia have undergone fundamental changes both in terms of agricultural income and population structure due to the decrease in the water level of the lake and the limitation of agricultural water abstraction. The aim of this study was to ...
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IntroductionDuring the last two decades, the villages around Lake Urmia have undergone fundamental changes both in terms of agricultural income and population structure due to the decrease in the water level of the lake and the limitation of agricultural water abstraction. The aim of this study was to identify the factors affecting the resilience of rural livelihoods in the region.Data and MethodThis research is an applied one in terms of purpose and descriptive-analytical based on method. The statistical population of the study is 2101 households in the villages around Lake Urmia within the Urmia County. The sample size is 363 households that were selected by proportional assignment to the population of each village and by simple random sampling method.Results and DiscussionA researcher-made questionnaire was the main instrument of the research whose validity was confirmed by a panel of experts and its reliability was confirmed by Cronbach's alpha coefficient (0.820) to the desired level. Data analysis was performed using mean comparison with T-Test and Exploratory Factor Analysis (EFA) in SPSS.22 software. The normality of the data and the determination of the type of statistical test were determined by the Kolmogorov-Smirnov test and the relationship between livelihood resilience and livelihood capital with Spearman Correlation Coefficient was obtained. The results showed that nine components (3 components in economic dimension, 2 components in social dimension, 2 components in physical and environmental dimension and 2 components in institutional dimension- Organizational) are effective.ConclusionThe average numerical desirability of livelihood resilience factors in the target population shows that the economic factor ranks first (4.18), the physical-environmental factor ranks second (4.11), the institutional-organizational factor ranks third (3.93), and the social factor ranks third (3.93). The fourth (3.87), are located.
