Impact of Remittances on Household Income and Poverty in Afghanistan (Published)
This study investigates the effect of remittances on household income and poverty in Afghanistan by using a regression model and microeconomic analysis at the household level. The primary data was collected at the household level in Afghanistan. The data is gathered through a pre-tested semi-structured questionnaire from 600 households in Afghanistan. Socio-economic characteristics, income-generating activities, and poverty situation of Afghan households have been evaluated through qualitative and quantitative empirical analysis. In addition to a comprehensive descriptive statistic, regression analysis is specified that evaluates the effect of remittances on household income in Afghanistan. The findings reveal that education, household size, remittance, age, and employment status have a positive effect on income at the household level. In the second model, the result showed that remittance, household size, and employment status have significant effects on poverty levels in the research area. However, the result also suggested some information that remittances provide a development incentive, recipient economies need to reduce the credit constraints that restrict access to migration for the poor and the ability to send money home once the access bar has been dominated.
Keywords: Afghanistan, Household, Regression, Remittance
Relationship between Kenya Power Last Mile Connectivity Program and Rural Household Livelihoods in Kapseret Constituency, Uasin Gishu County, Kenya (Published)
The main purpose of this study was to investigate the relationship between Kenya Power Last Mile Connectivity Program and rural household livelihoods in Kapseret Constituency, Uasin Gishu County, Kenya. The study was based on Theory of Change. Correlation Research Design was used to examine the study questions. The study targeted 272 respondents who were the connected customers of the Kenya Power Last Mile Connectivity Program in Kapseret Constituency, Uasin Gishu County. A sample size of 161 respondents was selected for the study using simple random sampling. A self-administered questionnaire was used in this study to collect data from each respondent. Content validation method was also used in the research to measure the validity of the instrument. Data collected were analyzed by using both descriptive and inferential statistical methods. The finding revealed that patterns in the distribution of electricity (β1= 0.546, p<0.05), and electricity usage (β2 = 0.283, p<0.05) had a positive and significant effect on rural household livelihoods. Therefore, there is need for Kenya power to raise awareness on the modalities to be made to access electricity in the rural areas. Also, the electricity connection needs to be designed in such a way that it can easily be adapted to both domestic and commercial uses in order to improve rural household livelihoods.
Keywords: Distribution, Household, Last Mile Connectivity Program, Livelihood, electricity usage