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Analysing social attributes of loan default among small Indian Dairy farms: A discriminating approach

Author

Listed:
  • Sinha, Mukesh Kumar
  • Dhaka, J. P.
  • Mondal, B.

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.

Suggested Citation

  • Sinha, Mukesh Kumar & Dhaka, J. P. & Mondal, B., 2013. "Analysing social attributes of loan default among small Indian Dairy farms: A discriminating approach," MPRA Paper 53362, University Library of Munich, Germany, revised 20 Jan 2014.
  • Handle: RePEc:pra:mprapa:53362
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    File URL: https://mpra.ub.uni-muenchen.de/53362/1/MPRA_paper_53362.pdf
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    References listed on IDEAS

    as
    1. S. Gandhimathi, 2012. "Determinants of repayment and overdues in agricultural sector," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 4(5), pages 590-602.
    2. Arindam Bandyopadhyay, 2006. "Predicting probability of default of Indian corporate bonds: logistic and Z-score model approaches," Journal of Risk Finance, Emerald Group Publishing, vol. 7(3), pages 255-272, May.
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    More about this item

    Keywords

    Discriminant function; credit; defaulter and dairy farmers;

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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