Estimation of rural credit demand: a study of Lower Brahmaputra valley of Assam. Issue 6 (29th November 2018)

• Record Type: Journal Article
• Authors: Das, Tiken
• Is Part Of: International journal of emerging markets. Volume 13:Issue 6(2018)
• Page Start: 1855
• Page End: 1875
• Publication Date: 2018-11-29
• Subjects: Formal credit demand -- Heckman two-stage procedure -- Informal credit demand -- Semiformal credit demand -- Type 3 Tobit; Business enterprises -- Finance -- Periodicals; Investments -- Developing countries -- Periodicals; Commerce -- Periodicals; Developing countries -- Economic conditions -- Periodicals; 330.91724
• DOI: 10.1108/IJoEM-01-2018-0014
• Languages: English
• ISSNs: 1746-8809

Abstract

Abstract : Purpose: The purpose of this paper is to evaluate the rural credit demand by providing a theoretical and econometric framework which controls the problem of selection bias. Design/methodology/approach: The study is conducted in Assam, India, and uses a quasi-experiment design to gather primary data. Heckman two-stage procedure and type 3 Tobit model are used to evaluate the rural credit demand. Findings: It is observed that, in general, rural households' credit demand is influenced by the ability and capacity to work, the value of physical assets of the borrowers as well as some other lenders' and borrowers' specific factors. But, the direction of causality of the factors influencing borrowers' credit demand is remarkably different across credit sources. Research limitations/implications: The study recommends that it is possible to provide an efficient credit demand estimate through a correct theoretical and econometric framework. The possible limitation of the study can be due to the exclusion of the role of "traditional community based organizations" in rural Assam while evaluating the credit demand, and therefore, this limitation is left to future research. Originality/value: The study contributes to the literature by assessing the probable differences among formal, semiformal and informal credit sources with respect to rural credit demand.