小额贷款对妇女生计的影响:来自Batticaloa Manmunai North Division的证据

SMM. Suhaib Razith, MMF. Nihara
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引用次数: 2

摘要

小额信贷是一个广义的术语,包括向穷人提供存款、信贷和支付服务。在Batticaloa地区,小额贷款机构的数量显著增加,特别是在过去十年中。本研究的主要目的是了解小额贷款对Batticaloa地区Manmunai North分部妇女生计的影响。在本研究中,来自Manmunai North分部的150名从事小额信贷活动至少5年的妇女作为样本。在本研究中,我们将小额信贷作为自变量,生计作为因变量。有四个自变量,即还款、贷款、利率、时间和四个因变量,即贫穷、教育、储蓄、家庭规模,用于审查关于妇女生计基本背景的百分比分析。该研究涵盖了原始数据,并通过妇女描述性统计、相关和回归模型对数据进行了分析。通过相关分析和回归分析,找出小额信贷与妇女生计的关系和强弱。根据回归系数的结果,它给出了四个变量(贷款,还款,利率,时间)的规格,并揭示了预测决策的能力(R2=0.164)。各自的R2值为0.164,表明观察到的16%的妇女生计变异性可以用所有自变量的差异来解释。研究发现两个变量均为正系数,即小额信贷随着利率和还款水平的提高而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Micro Loan on Women’s Livelihood: Evidence from Manmunai North Division, Batticaloa
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.
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