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Rural livelihood resilience (case study of villages around Lake Urmia within the city of Urmia)

Document Type : Research Paper

Authors

1 Ph.D. student geography and rural planning, Kharazmi University, Tehran, Iran

2 Associate Professor of Geography and Rural Planning, Kharazmi University, Tehran, Iran

3 Professor ,Geography and Rural Planning, Kharazmi University, Tehran, Iran

10.22034/gp.2021.41837.2708

Abstract

Introduction
During 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 Method
This 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 Discussion
A 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.
Conclusion
The 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.

Keywords

Main Subjects

References
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Journal of Geography and Planning
Volume 25, Issue 77
October 2021
Pages 1-15
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