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The demand and supply of credit for households

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  • Ranjula Bali Swain

Abstract

The demand and supply of credit in the rural credit markets is investigated in this article using household data from India. The aim is to study the effects of household, farm productive characteristics and the policy variables on the demand and supply of credit. A type 3 Tobit model is estimated which corrects for sample selection and endogeniety bias. In addition, a generalized Double Hurdle model is estimated where the information on the household's access to credit is included to estimate the demand and supply of credit. The results suggest that the size of the operational holdings, net-wealth, dependency ratio, educational level of the household and the wages and output prices are important determinants of the demand and supply of credit for farm households. The Double Hurdle model confirms that the 'size of land owned' plays a crucial role in whether the household has access to a loan or not.

Suggested Citation

  • Ranjula Bali Swain, 2007. "The demand and supply of credit for households," Applied Economics, Taylor & Francis Journals, vol. 39(21), pages 2681-2692.
  • Handle: RePEc:taf:applec:v:39:y:2007:i:21:p:2681-2692
    DOI: 10.1080/00036840600749516
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    Citations

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    Cited by:

    1. Özgür Arslan & Mehmet Baha Karan, 2010. "Consumer Credit Risk Characteristics: Understanding Income and Expense Differentials," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(2), pages 20-37, March.
    2. Xolile Mamba, Tangetile, 2016. "The role of contracts in improving access to credit in the smallholder livestock sector of Swaziland," Research Theses 243472, Collaborative Masters Program in Agricultural and Applied Economics.
    3. Evžen Kocenda & Martin Vojtek, 2011. "Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(6), pages 80-98, November.
    4. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo & Ana María Tribín-Uribe, 2016. "Determinantes del acceso al crédito formal e informal: Evidencia de los hogares de ingresos medios y bajos en Colombia," Borradores de Economia 956, Banco de la Republica de Colombia.
    5. Festic, Mejra & Kavkler, Alenka, 2012. "The Roots of the Banking Crisis in the New EU Member States: A Panel Regression Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 20-40, March.
    6. Doan, Tinh & Gibson, John & Holmes, Mark, 2010. "What determines credit participation and credit constraints of the poor in peri-urban areas, Vietnam?," MPRA Paper 27509, University Library of Munich, Germany, revised 17 Dec 2010.
    7. Twine, Edgar & Rao, Elizaphan & Baltenweck, Isabelle & Omore, Amos, 2015. "Credit, Technology Adoption and Collective Action in Tanzania’s Smallholder Dairy Sector," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204198, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    8. Olomola, Aderbigbe & Gyimah-Brempong, Kwabena, 2014. "Loan demand and rationing among small-scale farmers in Nigeria:," IFPRI discussion papers 1403, International Food Policy Research Institute (IFPRI).
    9. Sunil Mitra Kumar, 2016. "Why does caste still influence access to agricultural credit?," WIDER Working Paper Series 086, World Institute for Development Economic Research (UNU-WIDER).
    10. Kangogo, Daniel & Lagat, Job & Ithinji, Gicuru, 2013. "The Influence of Social Capital Dimensions on Household Participation in Micro-Credit Groups and Loan Repayment Performance in Uasin Gishu County, Kenya," MPRA Paper 48624, University Library of Munich, Germany.
    11. Evžen Kocenda & Martin Vojtek, 2011. "Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(6), pages 80-98, November.
    12. Samuel Sekyi, 2017. "Rural Households’ Credit Access and Loan Amount in Wa Municipality, Ghana," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 506-514.
    13. Joseph Chisasa, 2016. "Determinants of the demand for credit by smallholder farmers: survey results from South Africa," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 9(1), pages 26-46.
    14. Özgür Arslan & Mehmet Baha Karan, 2010. "Consumer Credit Risk Characteristics: Understanding Income and Expense Differentials," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(2), pages 20-37, March.
    15. repec:cml:incocp:7sp-05 is not listed on IDEAS
    16. E. Pastrapa & C. Apostolopoulos, 2015. "Estimating Determinants of Borrowing: Evidence from Greece," Journal of Family and Economic Issues, Springer, vol. 36(2), pages 210-223, June.

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