Factors Determining the Credit Accessibility by the Small-Scale Entrepreneurs: A Case of Handloom Weaving in Bangladesh

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Biometrics Pub Date : 2020-07-10 DOI:10.5539/ijbm.v15n8p93
M. Parvin, K. Fatema, Sheikh Touhidul Haque
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引用次数: 2

Abstract

This study examines the determinants of access to credit by the handloom weavers in Bangladesh. Using the multistage sampling technique, the primary data for the analysis were collected from 311 randomly selected handloom weavers from Sirajganj district of Bangladesh during July to December 2015. The data are analyzed by using the Logit model. The model identifies several individual, household, community, and institution-specific factors as the significant determinants of credit access. Among them, family size, farm size, work experience, saving and the flexibility in the terms and conditions of loan use increase the probability of credit access by the handloom weavers whereas the risk aversion attitude and the distance between the Microfinance Institutions (MFIs) from the commune reduce such possibility. Therefore, this study suggests that respondents should utilize the joint effort of the available family members in this labor-intensive business while undertaking rational decisions enhanced through the skills and capabilities acquired over the years. They should maintain a sufficient amount of saving to prove them eligible in repaying their credit. From the institutional perspective, it is suggested that the MFIs should provide adequate financial and non-financial services to its clientele as per their needs. Borrowers’ easy accessibility to the institutions should also be ensured. In doing so, they should open up more branches in the villages so that the door to door services are available to the borrowers. It is expected that these recommendations will help in improving the credit access by the handloom weavers in Bangladesh.
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影响小型企业家信贷可及性的因素:以孟加拉手摇织造为例
本研究考察了孟加拉国手工织布机织布者获得信贷的决定因素。2015年7月至12月,采用多阶段抽样技术,从孟加拉国Sirajganj地区随机抽取的311名手织布机编织者中收集了用于分析的主要数据。采用Logit模型对数据进行分析。该模型确定了几个个人、家庭、社区和机构特定因素是信贷获取的重要决定因素。其中,家庭规模、农场规模、工作经验、储蓄和贷款条款和条件的灵活性增加了手织机织布者获得信贷的可能性,而风险规避态度和小额信贷机构(MFIs)与社区的距离降低了这种可能性。因此,本研究建议受访者应利用现有家庭成员的共同努力,在这个劳动密集型的行业中,同时通过多年来获得的技能和能力进行理性决策。他们应该保持足够的储蓄,以证明他们有资格偿还贷款。从制度的角度来看,建议小额信贷机构应根据客户的需要向其提供充分的金融和非金融服务。还应确保借款人能够方便地接触到这些机构。在这样做的过程中,他们应该在农村开设更多的分支机构,以便向借款人提供门到门的服务。预计这些建议将有助于改善孟加拉国手工织布机织布工人获得信贷的机会。
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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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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