Analysis of the Spatial Pattern of Rural Poverty in Rural Settlements of Miyandoab County

Problem: 

There is a high correlation between poverty and rural life, because more than three quarters of the poor live in rural areas. Since any successful policy (in the direction of rural development) requires the recognition of this phenomenon, therefore, knowing the extent of poverty in society and its spatial distribution is an important issue in developing poverty reduction programs.

The purpose of this study is spatial analysis of poverty in rural settlements of Miyandoab county.

The present study was applied in terms of purpose and in terms of nature and descriptive-analytical method and library and field studies were used to collect information. Spatial territory is the villages of Miyandoab county, which, according to the 2016 census, has a population of 125,893 people, 37,637 rural households and 189 inhabited villages. Percentage of villages were selected as sample villages. The sample size, according to the Cochran's formula, is 313 rural household heads living in rural areas. To analyze the data and information, Coopras multi-criteria decision analysis, K-cluster analysis and more I statistic were used.

Out of 38 sample villages in the county, 17 villages, equivalent to 44.74% of the villages are in the cluster of "very severe poverty" and in terms of agriculture, services, productive employment, income, participation, security, environmental degradation and. The people of these villages are facing many problems and most of these villages are located in Barouq district. Also, Lalehloo, Qataradash and Ghorghchi villages are known as the poorest villages of Miyandoab county and rural poverty has shown a clustered and dense spatial pattern based on Marian my statistics in the county.

Innovation: 

The most important research, innovation of reducing rural poverty and spatial analysis in Miyandoab county using Coopras technique and other statistical analyzes.