妇女参与小额信贷服务以改善家庭生计:埃塞俄比亚南部Wolaita区Sodo Zuria区的案例

Tekele Petros Ganebo, S. Nakkiran, Teklu Tesfaye Chamato, M. Senapathy
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引用次数: 0

摘要

尽管小额信贷机构有其原则和指导方针,为妇女提供空间,并努力改善其家庭生活,但妇女在所有小额信贷服务及其活动中的参与并不重要。研究地区的情况也类似。该研究的目的是评估妇女参与小额信贷的程度和地位,确定影响妇女参与小额信贷服务以改善生计的因素,并评估阻碍妇女参与小额信贷服务以改善生计的制约因素。Omo和Vision小额信贷的农村妇女小额信贷用户总数为2331人;从这100个样本中,使用Yemane(1967)公式,以PPS为基础,通过简单的随机抽样方法选择受访者。通过计算参与指数的得分值来衡量妇女参与小额信贷服务的程度和地位。女性的参与地位分为低、中、高,分别为38名、20名和38名。采用均差、百分比、单因素方差分析、spearman相关和卡方检验,采用有序logit模型进行数据分析。在17个假设变量中,年龄、家庭收入、牲畜饲养规模、家庭支出、借款人经验、成就动机和态度水平7个变量对因变量显著。根据被调查者的计量经济分析年龄,被调查者对参与水平有负向影响,且显著。最好考虑37岁之间的平均年龄,这是中等年龄群体。因此,政策制定者、行为者、小额信贷行业/机构和规划者应通过培训和提高认识方案培养积极的态度和激励成就,以促进妇女对其家庭经济资源的平等机会和控制权。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Women Participation in Microcredit Service to Improve Families Livelihood: The Case of Sodo Zuria District, Wolaita Zone, Southern Ethiopia
Even though microfinance institutions have their principles and guidelines that have room for before women and working to improve their families’ lives, women participation is not significant in all of the microfinance services and their activities. The situation is also similar in the study area. The study’s objectives were to assess the extent and status of women participation in Microcredit, determine factors that affect women participation in microcredit service to improve livelihood and assess the constraints that hinder women’s participation in microcredit service from enhancing their livelihood. The total number of rural women microcredit users in Omo and Vision Microfinance was 2331; from this 100 sample, respondents were selected using Yemane (1967)formula and based on PPS through a simple random sampling method. The extent and status of women participation in microcredit service have been measured by calculating the score value of the participation index. The participation status of women has been categorized into low, medium and high, which are 38, 20 and 38 respondents, respectively. Mean difference, percentage, oneway ANOVA, spearman correlation and chi-square test were used with an ordered logit model to analyze the data. Out of 17 hypothesized variables, 7 of them, namely, age, Family income, Livestock holding size, household expenditure, the experience of borrower, achievement motivation and attitudinal level, are significant to the dependent variable. According to the respondents’ econometric analysis age, the respondents negatively influence the level of participation, and itis significant. It is better to consider the mean age between 37, which is the medium age group. Therefore, policy-makers, actors, MFI industries/institutions, and planners should develop a positive attitude and motivational achievement through training and awareness creation programs to promote women’s equal opportunities control over their household economic resources.
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