Assessing the Economic Resilience of Rural Households against Drought (Case Study: Mahidasht District in Kermanshah)

Abstract

Purpose- Currently he occurrence of recent droughts in Iran and the severity of its damage indicate the vulnerability of farmers. The economic-environmental damages and the resilience farmers to this incident are evident in diverse ways. Therefore, recognizing the resilience of the population influenced by drought can offer a tool to prevent life-threatening disaster in high-risk areas. The aim of this study was to evaluate the economic resilience of rural households to drought in plain of Kermanshah and answer the following questions. What is the extent of economic resilience of rural households in Mahidasht to drought? What are the most important factors affecting the economic resilience of rural households to drought? Design/methodology/approach- This is an applied research and a descriptive-analytical method along with library analysis and field surveys were adopted for data collection. The statistical population of this study consisted of 5081 households, out of whom 357 samples were selected according to Cochran's formula. Descriptive and inferential statistics (One-sample t-test) and structural equation modeling were used for data analysis. Findings- According to the results of t-test, the variables of vulnerability of villagers' property and assets (mean=3.99) and the impact of drought on the value of assets (mean=3.86) gained the highest average in terms of resilience. On the contrary, the two variables of ability to compensate (mean=1.67) and membership in cooperatives and agricultural companies (mean=1.67) had the lowest averages. Moreover, the test results of all four variables of evaluating farmers’ knowledge and awareness indicate a correlation between the independent variables (prevention, preparedness, reconstruction, institutional management) and the dependent variable (economic resilience). Therefore, it can be contended that the economic resilience of Mahidasht is fairly weak.