IDEAS home Printed from https://ideas.repec.org/a/ags/ijaeri/362686.html
   My bibliography  Save this article

Risk Differentials In Livestock Financing: A Comparative Study Of Formal And Informal Credit Markets In Imo State, Nigeria

Author

Listed:
  • U.M. Olumba
  • F.O. Nwosu
  • C. Chikezie
  • K.H. Anyiam

Abstract

This study investigated the risk differentials in livestock financing between formal and informal credit markets in Imo State, Nigeria. A total of 120 livestock farmers were sampled, and data were analyzed using both descriptive and inferential statistics. Findings revealed that access to financial institutions revealed a significant gender disparity, with males dominating both formal (55.0%) and informal (56.7%) financial institutions. Most livestock farmers financed by formal financial institutions (46.7%) had a mean of 7 years of experience in livestock production, whereas those financed by informal financial institutions (55%) had a mean of 8 years of experience. Most livestock farmers financed by formal financial institutions (46.7%) and those financed by informal financial institutions (58.3%) had secondary education. Formal credit sources provided significantly higher loan amounts (₦1,515,833), charged higher interest rates (7.03%), and offered longer repayment periods (18 months) compared to informal sources, which provided an average of ₦244,167, with lower interest rates (0.73%) and shorter durations (7 months). Formal credit also exhibited higher financial risk, evidenced by greater variance (₦92.83 billion) and standard deviation (₦304,681.07) in earnings, relative to informal credit (variance: ₦16.58 billion; SD: ₦128,743.93). The major factors militating against accessing formal credit included savings deposit requirements (95.0%), insufficient collateral (85.0%), lack of guarantors (83.3%), and years of account holding (75.0%). In contrast, informal credit access was limited primarily by insufficient loan amounts (90.0%), years of group membership (80.0%), and collateral (76.7%). These results underscore the trade-off between loan size and financial risk in credit market choice. To enhance livestock financing, policymakers should promote reforms that reduce entry barriers to formal credit, regulate interest rates, and strengthen risk management frameworks within formal financial institutions.

Suggested Citation

  • U.M. Olumba & F.O. Nwosu & C. Chikezie & K.H. Anyiam, . "Risk Differentials In Livestock Financing: A Comparative Study Of Formal And Informal Credit Markets In Imo State, Nigeria," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 11(03).
  • Handle: RePEc:ags:ijaeri:362686
    DOI: 10.22004/ag.econ.362686
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/362686/files/ijaer_11__54.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.362686?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
    ---><---

    References listed on IDEAS

    as
    1. Masaood Moahid & Keshav Lall Maharjan, 2020. "Factors Affecting Farmers’ Access to Formal and Informal Credit: Evidence from Rural Afghanistan," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ayat Ullah & Nasir Mahmood & Alam Zeb & Harald Kächele, 2020. "Factors Determining Farmers’ Access to and Sources of Credit: Evidence from the Rain-Fed Zone of Pakistan," Agriculture, MDPI, vol. 10(12), pages 1-13, November.
    2. Friedrich Schneider & Mangirdas Morkunas & Erika Quendler, 2021. "Measuring the Immeasurable: The Evolution of the Size of Informal Economy in the Agricultural Sector in the EU-15 up to 2019," CESifo Working Paper Series 8937, CESifo.
    3. Mohammad Wais Azimy & Ghulam Dastgir Khan & Yuichiro Yoshida & Keisuke Kawata, 2020. "Measuring the Impacts of Saffron Production Promotion Measures on Farmers’ Policy Acceptance Probability: A Randomized Conjoint Field Experiment in Herat Province, Afghanistan," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    4. Tanni Roy & Md. Emran Hossain & Md. Jahid Ebn Jalal & Jiban Krishna Saha & Eshrat Sharmin & Md. Akhtaruzzaman Khan, 2021. "Effects of credit on national and agricultural GDP, and poverty: a developing country perspective," SN Business & Economics, Springer, vol. 1(10), pages 1-20, October.
    5. Abera Alemu & Zerhun Ganewo, 2023. "Impact Analysis of Formal Microcredit on Income of Borrowers in Rural Areas of Sidama Region, Ethiopia: A Propensity Score Matching Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 65-85, March.
    6. Ömer Keskin & Batuhan Medetoğlu & Yusuf Bahadır Kavas & Musa Gün, 2025. "Does Institutional Quality Shape Agricultural Credit Orientation? Evidence from D-8 Nations," Agriculture, MDPI, vol. 15(18), pages 1-27, September.
    7. Patrick Ngwenyama & Shephard Siziba & Loveness K. Nyanga & Tanya E. Stathers & Macdonald Mubayiwa & Shaw Mlambo & Tinashe Nyabako & Aurélie Bechoff & Apurba Shee & Brighton M. Mvumi, 2023. "Determinants of smallholder farmers’ maize grain storage protection practices and understanding of the nutritional aspects of grain postharvest losses," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(4), pages 937-951, August.
    8. Kehinde, Ayodeji Damilola, 2021. "Impact of Credit Access and Cooperative Membership on Cocoa Productivity in Southwestern Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315855, International Association of Agricultural Economists.
    9. Yang, Jingwen & Gong, Qingbin & Sendra García, Javier & Xu, Bing, 2022. "Non-parametric identification of public guarantee schemes and commercial banks," Journal of Business Research, Elsevier, vol. 144(C), pages 1196-1206.
    10. Cosimo Magazzino & Marco Mele & Fabio Gaetano Santeramo, 2021. "Using an Artificial Neural Networks Experiment to Assess the Links among Financial Development and Growth in Agriculture," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    11. Zhe Chen & Apurbo Sarkar & Md. Shakhawat Hossain & Xiaojing Li & Xianli Xia, 2021. "Household Labour Migration and Farmers’ Access to Productive Agricultural Services: A Case Study from Chinese Provinces," Agriculture, MDPI, vol. 11(10), pages 1-20, October.
    12. Liu, Yulin & Li, Hebo & Fang, Xin, 2024. "Who should the elderly borrow money from under formal financial exclusion? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 964-982.
    13. Bing Xu & Jingwen Yang & Sonia Dasí-Rodríguez, 2020. "Determinants of credit availability for high-tech start-ups," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1483-1501, December.
    14. Bing Xu & Jingwen Yang & Sonia Dasí-Rodríguez, 0. "Determinants of credit availability for high-tech start-ups," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-19.
    15. Nyanzu, Frederick & Baylis, Kathy, 2023. "Mobile Money Service, Financial Inclusion, and Ag-Investment in Developing Countries: Evidence from Ghana," 2023 Annual Meeting, July 23-25, Washington D.C. 335719, Agricultural and Applied Economics Association.
    16. Michael Ameh & Sang Hyeon Lee, 2022. "Determinants of Loan Acquisition and Utilization among Smallholder Rice Producers in Lagos State, Nigeria," Sustainability, MDPI, vol. 14(7), pages 1-14, March.
    17. repec:ags:aaea22:335719 is not listed on IDEAS
    18. Louis Atamja & Sungjoon Yoo, 2021. "Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon," Sustainability, MDPI, vol. 13(11), pages 1-19, May.

    More about this item

    Keywords

    ;

    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:ijaeri:362686. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: http://ijaer.in/ .

    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.