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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/15891
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | M.K.Sinha | en_US |
dc.contributor.author | J.P.Dhaka | en_US |
dc.contributor.author | B.Mondal | en_US |
dc.date.accessioned | 2018-12-13T06:26:44Z | - |
dc.date.available | 2018-12-13T06:26:44Z | - |
dc.date.issued | 2014-01-30 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | 1992-2248 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/15891 | - |
dc.description | Not Available | en_US |
dc.description.abstract | The study examines the socio-economic factors discriminating defaulters and non-defaulters of credit repayment. Multi-stage sampling design was adopted for selection of farm respondents. The data were collected through structured questionnaire by personal interview method. A linear discriminant function considered to examine the relative importance of different factors in discriminating between non-defaulters and defaulters. The result revealed that per capita income from crop and milk production, expenditure to total income, earning adults and off-farm income explained major share in discriminating the non-defaulters from defaulters. The mean discriminant score for the non-defaulters (Z1) and defaulter (Z2) were found to be 0.316 and -1.322, respectively. The critical mean discriminant score (Z) for the two groups was found to be -0.503. The high value of Z corresponds to non-defaulter and low value to defaulter. Later the derived classification analysis was observed that 50 out of 83 defaulters and 32 out of 37 non-defaulters were rightly classified in Z function. Thus, grouped cases classified correctly as 68.33% as factors of default. Hence, the model is found to be valid to predict whether an unknown borrower is likely to be defaulter or non-defaulter more precisely. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Academic Journals | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Discriminant function, credit, defaulter, dairy farmers | en_US |
dc.title | Analysing social attributes of loan default among small Indian dairy farms: A discriminant approach | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Scientific Research and Essays | en_US |
dc.publication.volumeno | 9(2) | en_US |
dc.publication.pagenumber | 19-23 | en_US |
dc.publication.divisionUnit | Social Science Division | en_US |
dc.publication.sourceUrl | https://doi.org/10.5897/SRE2013.5796 | en_US |
dc.publication.authorAffiliation | ICAR::Indian Institute of Water Management | en_US |
dc.publication.authorAffiliation | ICAR::National Dairy Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::National Rice Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | Not Available | en_US |
Appears in Collections: | CS-NRRI-Publication |
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