IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/152695.html
   My bibliography  Save this article

Factors Affecting Loan Repayment Performance Among Yam Farmers in the Sene District, Ghana

Author

Listed:
  • Wongnaa, C. A.
  • Awunyo-Vitor, D.

Abstract

The study analyzed the factors that are critical in improving loan repayment by yam farmers in the Sene district of Ghana. Random sampling technique was used to select 100 respondents in the district and structured questionnaire was administered to collect data. Descriptive statistics and the probit model were employed. The results show that 42% of yam farmers in Sene district are illiterates. More males (93%) are involved in yam farming than females (7%) and most of the farmers are married (91%). Also most of the yam farmers in the district have a family size of 6-10 households (66%) and 54% of them have 1-10 years of yam farming experience. Also, the results show that education, experience, profit, age, supervision and off-farm income have positive effects on loan repayment performance. Conversely, gender and marriage have negative effects on loan repayment while the effect of household size was found to be ambiguous.

Suggested Citation

  • Wongnaa, C. A. & Awunyo-Vitor, D., 2013. "Factors Affecting Loan Repayment Performance Among Yam Farmers in the Sene District, Ghana," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(2), pages 1-12, June.
  • Handle: RePEc:ags:aolpei:152695
    DOI: 10.22004/ag.econ.152695
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/152695/files/agris_on-line_2013_2_wongnaa_awunyo-victor.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.152695?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Julian Vasilev, 2014. "Calculating the Probability of Returning a Loan with Binary Probability Models," Romanian Statistical Review, Romanian Statistical Review, vol. 62(4), pages 55-71, December.
    2. Moumita Poddar & Tanmoyee Banerjee (Chatterjee) & Ajitava Raychaudhuri, 2019. "An economic analysis of the determinants of pattern of institutional borrowing in India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 54-92, June.
    3. Jorge Mota & António Carrizo Moreira & Cristóvão Brandão, 2018. "Determinants of microcredit repayment in Portugal: analysis of borrowers, loans and business projects," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 17(3), pages 141-171, November.
    4. Omobolaji Omobitan & Aditya R. Khanal, 2022. "Examining Farm Financial Management: How Do Small US Farms Meet Their Agricultural Expenses?," JRFM, MDPI, vol. 15(3), pages 1-15, March.
    5. Uma Murthy & Paul Anthony Mariadas, 2017. "An Exploratory Study on the Factors Contributing Loan Repayment Default among the Loan Borrowers in Micro Finance Institutions in Shah Alam, Selangor," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(12), pages 242-242, November.
    6. Momtaj Parvin & Merajul Islam & Larysa Vdovenko, 2023. "Impact of Non-Performing Loans on the Growth of the Banking Sector in Bangladesh," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 79-90, March.
    7. Andualem Kassegn & Ebrahim Endris, 2022. "Factors affecting loan repayment rate among smallholder farmers got loans from the Amhara Credit and Saving Institution: In the case of Habru District, Amhara Regional State, Ethiopia," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 25(1), pages 73-96, March.
    8. Ali Ijaz, Sulaman Hafeez Siddiqui, Rabia Rasheed, Muhammad Shahid Nawaz, 2019. "Factors Affecting Delay in Agricultural Loan Recovery among Small Scale Farmers in Sahiwal Region Pakistan," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 6(2), pages 48-53, October.
    9. Julian VASILEV, 2014. "Web Service for Calculating the Probability of Returning a Loan – De-sign, Implementation and Deployment," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 18(4), pages 111-119.
    10. Abu, Benjamin Musah & Domanban, Paul Bata & Haruna, Issahaku, 2017. "Microcredit Loan Repayment Default among Small Scale Enterprises: A Double Hurdle Approach," MPRA Paper 101576, University Library of Munich, Germany, revised 12 Mar 2017.

    More about this item

    Keywords

    Agricultural Finance;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aolpei:152695. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fevszcz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.