Wafiullah Kotwal

Abstract

Poverty is defined as the inability to attain basic living standards due to insufficient funds to meet basic consumption needs. The main purpose of this study is to examine the determining factors of rural poverty in the Nangarhar province. The analysis is based on both primary and secondary data, which were collected through questionnaires distributed to households in different districts and from other relevant sources. A variety of analytical tools, such as the Binary Logistic Regression Model, Omnibus and Lemeshow Tests, were used to analyze the collected data. The Binary Logistic Regression Model was used to test for a relationship between rural poverty and  various factors which could be causing this poverty in the Nangarhar province, while the Omnibus Test and Lemeshow Tests were used to determine the goodness-of-fit of the Binary Logistic Regression Models. The results of the analysis indicate that the most significant factors affecting rural poverty in the Nangarhar province are family size, average household education and dependency ratio. Furthermore, the Omnibus Test results, which had a Chi-square value of 53.57 and are statistically significant at P < 0.01 level, and the Lemeshow Test with its significance level of 0.821 (P > 0.05), suggest that the Binary Logistic Regression Model is a good fit.

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