{"title":"Impact of Micro Loan on Women’s Livelihood: Evidence from Manmunai North Division, Batticaloa","authors":"SMM. Suhaib Razith, MMF. Nihara","doi":"10.59075/jemba.v1i1.63","DOIUrl":null,"url":null,"abstract":"Microcredit is a broad term that includes deposits, credits and payment services to the poor. In Batticaloa district the number of Micro Loan institutions have increased significantly especially in this last decade. This research is carried out with a main objective to find out the impact of micro loan on women’s livelihood in Manmunai North division of Batticaloa district. In this study, a sample of 150 women from Manmunai North division who have been engaged in microfinance activities for at least 5 years. In this study, we considered Microcredit as an independent variable and Livelihood as a dependent variable. There are four independent variables as repayment, lending, interest rate, time and four dependent variables as poverty, education, saving, family size which are used to examine the percentage analysis on the basic background of women’s livelihood. The study has covered primary data and analyzed the data by women’s descriptive statistics, correlation and regression models. Correlation and regression analysis is used to find out the relationship and strength between microcredit and women livelihood. According to the results of regression coefficient it presented the specification of four variables (lending, repayment, interest rate, time) and reveled the ability to predict decision-making (R2=0.164). The respective R2 value is 0.164 denotes that 16% of the observed variability in women’s livelihood can be explained by the differences in all independent variables. The finding of the research is both variables have a positive coefficient, which means microcredit increases with the increasing level of interest rate and repayment.","PeriodicalId":270163,"journal":{"name":"Journal of Economics, Management & Business Administration","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economics, Management & Business Administration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59075/jemba.v1i1.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Microcredit is a broad term that includes deposits, credits and payment services to the poor. In Batticaloa district the number of Micro Loan institutions have increased significantly especially in this last decade. This research is carried out with a main objective to find out the impact of micro loan on women’s livelihood in Manmunai North division of Batticaloa district. In this study, a sample of 150 women from Manmunai North division who have been engaged in microfinance activities for at least 5 years. In this study, we considered Microcredit as an independent variable and Livelihood as a dependent variable. There are four independent variables as repayment, lending, interest rate, time and four dependent variables as poverty, education, saving, family size which are used to examine the percentage analysis on the basic background of women’s livelihood. The study has covered primary data and analyzed the data by women’s descriptive statistics, correlation and regression models. Correlation and regression analysis is used to find out the relationship and strength between microcredit and women livelihood. According to the results of regression coefficient it presented the specification of four variables (lending, repayment, interest rate, time) and reveled the ability to predict decision-making (R2=0.164). The respective R2 value is 0.164 denotes that 16% of the observed variability in women’s livelihood can be explained by the differences in all independent variables. The finding of the research is both variables have a positive coefficient, which means microcredit increases with the increasing level of interest rate and repayment.