Role of Microfinance in Poverty Alleviation: Evidence from Pakistan

A. Awan, Javed Iqbal Joiya
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引用次数: 11

Abstract

This study has empirically measured the role of microfinance in poverty alleviation and has examined its impact on household poverty level. The factors that can affect the household poverty and living standard have been investigated with innovative econometric technique that is binary logit model and ordered logit model by using Stata software. The empirical analysis of this study is based on fresh data. The data is collected through a household survey method from the rural and urban areas of district Lodhran of Pakistan. A questionnaire was developed to collect primary data which covered the household loan amount, household assets, and household expenditures. The questionnaires were distributed among 220 respondents. We selected total 19 variables: eleven variables to analyze the factors responsible for household poverty and eight variables to measure the household living standard. High value of Living standard shows high living standard and low value shows lower living standard. The empirical evidence shows that the variables such as gender, married status, chronicle diseases, purpose of loans, number of loans taken, amount of loan, Lives Stock, Monthly savings, total number of household members are found impacting poverty significantly while the impact of transport facility, years of schooling and ownership of land were found insignificant. While measuring poverty level we followed World Bank poverty line which is $ 1.25 (Rs.3750) per capita per adult monthly income and expenditure. The data shows that 137 (62.3 percent) households are living below poverty line while 83 households are living above poverty line. We find that 169 households (76.8 percent of the total sample) have good living standard while 20 households (9.1 percent) have high living standard whereas 31 households (14.1 percent), have very low living standard.
小额信贷在扶贫中的作用:来自巴基斯坦的证据
本研究对小额信贷在扶贫中的作用进行了实证测量,并考察了其对家庭贫困水平的影响。利用Stata软件,采用创新的计量经济学方法,即二元logit模型和有序logit模型,对影响家庭贫困和生活水平的因素进行了研究。本研究的实证分析基于新鲜数据。数据是通过家庭调查方法从巴基斯坦洛德兰县的农村和城市地区收集的。编制问卷,收集家庭贷款金额、家庭资产、家庭支出等主要数据。调查问卷在220名受访者中分发。我们共选取了19个变量,其中11个变量用于分析家庭贫困的影响因素,8个变量用于衡量家庭生活水平。生活水平值高表示生活水平高,值低表示生活水平低。实证表明,性别、婚姻状况、慢性病、贷款目的、贷款次数、贷款金额、生活存量、月储蓄、家庭成员总数等变量对贫困的影响显著,而交通设施、受教育年限和土地所有权等变量的影响不显著。在衡量贫困水平时,我们遵循世界银行的贫困线,即人均成人月收入和支出1.25美元(3750卢比)。数据显示,生活在贫困线以下的家庭有137户(62.3%),生活在贫困线以上的家庭有83户。我们发现169户家庭(占总样本的76.8%)生活水平良好,20户家庭(9.1%)生活水平较高,31户家庭(14.1%)生活水平很低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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