在阿萨姆邦农村,不同信贷来源的借款人对还款的异质决定因素有不同的影响吗?双重障碍方法

T. Das, Pradyut Guha, Diganta Das
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摘要

本研究试图回答这样一个问题:还款的异质性决定因素对不同信贷来源的借款人的影响是否不同?这项研究是基于从阿萨姆邦布拉马普特拉河下游三个地区的240户家庭收集的数据,通过精心设计的初步调查。此外,研究还采用了双障碍方法和工具变量概率模型来减少可能的选择偏差。它观察到正规借款人的还款表现更好,其次是半正规借款人,而职业方面,这在有组织的员工中表现突出。研究发现,总体而言,家庭特征、贷款特征和地域特征显著影响借款人的还款绩效。然而,影响还款绩效的因素的影响性质在不同信贷来源之间存在显著差异。它在分析还款绩效的决定因素时,忽略了传统社区组织在阿萨姆邦农村的作用。该研究还建议确保阿萨姆邦农村地区的生产机会和有效的市场联系。这项研究基于一个原始数据集,该数据集是专门收集来检验以下问题的:在阿萨姆邦的布拉马普特拉河下游山谷,不同的贷款来源对不同借款人的影响不同吗?这是以前没有研究过的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do the Heterogeneous Determinants of Repayment Affect Differently across Borrowers of Diverse Credit Sources in Rural Assam? A Double Hurdle Approach
This study made an attempt to answer the question: Do the heterogeneous determinants of repayment affect the borrowers of diverse credit sources differently? The study is based on data collected from 240 households from three districts in the lower Brahmaputra valley of Assam through a carefully designed primary survey. Besides, the study uses the double hurdle approach and the instrumental variable probit model to reduce possible selection bias. It observes better repayment performance among formal borrowers, followed by semiformal borrowers, while occupation wise it is prominent among organised employees. It has been found that in general, the household characteristics, loan characteristics and location-specific characteristics significantly affect repayment performance of borrowers. However, the nature of impact of the factors influencing repayment performance is remarkably different across credit sources. It ignores the role of traditional community-based organisations in rural Assam while analysing the determinants of repayment performance. The study also recommends for ensuring productive opportunities and efficient market linkages in rural areas of Assam. The study is based on an original data set that has specially been collected to examine question that—do the heterogeneous determinants of repayment affect the borrowers of diverse credit sources differently in the lower Brahmaputra valley of Assam—which has not been studied before.
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