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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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    1. Desai, Bhupat M. & Mellor, John W., 1993. "Institutional finance for agricultural development," Food policy reviews 1, International Food Policy Research Institute (IFPRI).
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    Cited by:

    1. Misati, Roseline Nyakerario & Kamau, Anne, 2015. "Local and international dimensions to credit provision by commercial banks in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 14, Kenya Bankers Association (KBA).
    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. Kanika Rana & Brinda Viswanathan, 2019. "Household Choice of Financial Borrowing and Its Source: Multinomial Probit Model with Selection," Working Papers 2019-181, Madras School of Economics,Chennai,India.
    4. 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.
    5. 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.
    6. Luis Alberto Merchán Benavides, 2018. "¿Afecta la distancia de residencia a los centros urbanos la calidad en la cartera de creditos? Caso aplicado a una entidad financiera de Colombia," Vniversitas Económica 16451, Universidad Javeriana - Bogotá.
    7. Edgar E. Twine & Elizaphan J. O. Rao & Isabelle Baltenweck & Amos O. Omore, 2019. "Are Technology Adoption and Collective Action Important in Accessing Credit? Evidence from Milk Producers in Tanzania," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(3), pages 388-412, July.
    8. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo & Ana María Tribín-Uribe, 2018. "Crédito formal e informal de los hogares en Colombia," Investigación Conjunta-Joint Research, in: María José Roa García & Diana Mejía (ed.), Decisiones financieras de los hogares e inclusión financiera: evidencia para América Latina y el Caribe, edition 1, volume 1, chapter 5, pages 133-166, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    9. 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.
    10. 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.
    11. Sunil Mitra Kumar, 2016. "Why does caste still influence access to agricultural credit?," WIDER Working Paper Series wp-2016-86, World Institute for Development Economic Research (UNU-WIDER).
    12. Maziya, Sikhanyiso Angel, 2019. "The impact of the Europeun Union grant on access to credit and production in smallholder sugarcane agriculture in Siphofaneni, Eswatini," Research Theses 334775, Collaborative Masters Program in Agricultural and Applied Economics.
    13. Ana María Iregui-Bohórquez & Ligia Alba Melo-Becerra & María Teresa Ramírez-Giraldo & Ana María Tribín-Uribe, 2018. "Formal and Informal Household Credit in Colombia," Investigación Conjunta-Joint Research, in: María José Roa García & Diana Mejía (ed.), Financial Decisions of Households and Financial Inclusion: Evidence for Latin America and the Caribbean, edition 1, volume 1, chapter 5, pages 125-156, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    14. 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.
    15. 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).
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. Dong, Jiayun & Liang, Wenyuan & Liu, Weiping & Liu, Jinlong & Managi, Shunsuke, 2020. "Does forestland possession enhance households’ access to credit?—Examining China’s forestland mortgage policy," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 78-87.
    21. 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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