University of Isfahan Spatial Planning 2228-7485 11 2 2021 06 22 Spatial Analysis of Rural Poverty in Kouhdasht County Spatial Analysis of Rural Poverty in Kouhdasht County 25 48 24609 10.22108/sppl.2020.120996.1462 FA Mohammadamin Khorasani Assistant Professor of Geography and Rural Planning, Faculty of Geography, University of Tehran, Iran Majid Mohammadi MA of Geography and Rural Planning, Faculty of Geography, University of Tehran, Iran Journal Article 2020 01 08 Statement of the problem<br />Poverty in rural areas has been shaped by economic, social, political, cultural, and historical factors and ultimately by rural underdevelopment. Thus, there is a close link between poverty and rural life as more than three quarters of the poor live in rural areas. Measuring and identifying poverty is an essential component of knowledge for formulating programs and policies for poverty alleviation in society. <br />Purpose<br />The purpose of this study is to explain the rural poverty situation in Kouhdasht County, to identify the spatial distribution of rural poverty in Kouhdasht Count.<br />Methodology<br />The present research is exploratory and question-oriented. Also, this research is applied based on descriptive-analytical method. Data collection tools were library and field studies (questionnaire, observation). The statistical population includes the villages of Kouhdasht County. The sample of 26 villages with appropriate spatial distribution across all districts selected. The selected stratified random sampling method used to select the villages. Data collection tools were library and field studies (questionnaire, observation). <br />Results and Inoovation<br />One-sample t-test used to compare poverty indices. For this comparison a spectrum with 5 states (intervals 1 to 5) is used, so the average mean for evaluating the indices is 3. All indicators except the political index have a high level of significance. Also, considering that the mean of 3 is considered as demographic and equity indices with mean higher than 3, it indicates the desirable status of these indices compared to other indices and the t-statistic of each is respectively. The values are 6.99 and 2.20, and the lowest mean is related to environmental and education indices, which indicate an unfavorable situation with t-values of -13.98 and -8.04. Statement of the problem<br />Poverty in rural areas has been shaped by economic, social, political, cultural, and historical factors and ultimately by rural underdevelopment. Thus, there is a close link between poverty and rural life as more than three quarters of the poor live in rural areas. Measuring and identifying poverty is an essential component of knowledge for formulating programs and policies for poverty alleviation in society. <br />Purpose<br />The purpose of this study is to explain the rural poverty situation in Kouhdasht County, to identify the spatial distribution of rural poverty in Kouhdasht Count.<br />Methodology<br />The present research is exploratory and question-oriented. Also, this research is applied based on descriptive-analytical method. Data collection tools were library and field studies (questionnaire, observation). The statistical population includes the villages of Kouhdasht County. The sample of 26 villages with appropriate spatial distribution across all districts selected. The selected stratified random sampling method used to select the villages. Data collection tools were library and field studies (questionnaire, observation). <br />Results and Inoovation<br />One-sample t-test used to compare poverty indices. For this comparison a spectrum with 5 states (intervals 1 to 5) is used, so the average mean for evaluating the indices is 3. All indicators except the political index have a high level of significance. Also, considering that the mean of 3 is considered as demographic and equity indices with mean higher than 3, it indicates the desirable status of these indices compared to other indices and the t-statistic of each is respectively. The values are 6.99 and 2.20, and the lowest mean is related to environmental and education indices, which indicate an unfavorable situation with t-values of -13.98 and -8.04. https://sppl.ui.ac.ir/article_24609_787e9327eb79cd3d4aa4aa669001cf5f.pdf