Determinants of households’ income in Mazar –e- Sharif

Abstract

Studying household income is one of the most critical issues in poverty theory and income distribution. This research aims to identify and examine determinants of household income in Mazar-e-Sharif. The study is a descriptive-analytical methodology approach, and in terms of practical purpose, this study is applied research conducted a cross-sectionally with a microeconomic approach at the local level. The sample size included 200 households from the six sites of Mazar-e-Sharif in the year 2020, which were sampled through Be selected by chance. The data collection tool is an individual questionnaire conducted and collected by the researcher, which was analyzed by SPSS software using a regression model and developed econometrics model. The research findings show that the proposed regression model can predict 42.2% of the dependent variable. Furthermore, the analysis of regression model shows that the education of the head of household, members with contractual employment, number of employed members in households, income source of retirement, rent, Hawala, farm have the significant positive relationship with the dependent variable only income source of handicraft has the hostile relationship with the dependent variable. However, the rest of the independent variable does not have a significant relationship with the dependent variable.