Queue Modeling and Cooperative Credit Access in Benin City: A Study of Rural Husbandmen Cooperative Credit and Relief Programme

References

[1] National Bureau of Statistics. (2024). _Nigerian Gross Domestic Product Report Q4 2024_. Abuja: NBS.

[2] World Bank. (2023). _Agriculture Finance & Agriculture Insurance_. https://www.worldbank.org/en/topic/agriculture/brief/agriculture-finance

[3] Gross, D., Shortle, J. F., Thompson, J. M., & Harris, C. M. (2018). _Fundamentals of Queueing Theory_. 5th ed. Wiley. DOI: 10.1002/9781118949096

[4] Osabohien, R., Mordi, A., & Ogundipe, A. (2020). Access to credit and agricultural sector performance in Nigeria. _African Journal of Science, Technology, Innovation and Development, 14_ (1), 247–255. DOI: 10.1080/20421338.2020.1799537

[5] Kehinde, A. D., & Ogundeji, A. A. (2022). The simultaneous impact of access to credit and cooperative services on cocoa productivity in South-western Nigeria. _Agriculture & Food Security, 11_, 35. DOI: 10.1186/s40066-021-00351-4

[6] Mba Fokwa, A. (2024). The scale effects of agricultural credits, institutional governance and microfinance sustainability in Sub-Saharan Africa. _Agricultural Finance Review, 84_ (2/3), 208–225. DOI: 10.1108/AFR-08-2023-0105

[7] Komolafe, S. E., et al. (2023). Determinants of credit constraint among smallholder farmers in Oyo State, Nigeria. _Heliyon, 9_(8), e18765. DOI: 10.1016/j.heliyon. 2023.e18765

[8] Adeyonu, A. G., et al. (2016). Access to agricultural credit and farmers’ productivity in Nigeria: A case study of smallholder farmers in Kwara State. _Journal of Agricultural Science, 8_ (7), 95–105. DOI: 10.5539/jas. v8n7p95

[9] Etonihu, K. I., Rahman, S. A., & Usman, S. (2013). Determinants of access to agricultural credit among rural farmers in Nigeria. _Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development, 13_ (2), 131–136.

[10] Onyenucheya, F., & Ukoha, O. O. (2007). Loan repayment and creditworthiness of farmers under the Agricultural Credit Guarantee Scheme Fund in Nigeria. _African Journal of Agricultural Research, 2_ (5), 199–205.

[11] Ugbomeh, G. M. M., Achoja, F. O., Ideh, V., & Ofuoku, A. U. (2008). Determinants of loan repayment performance among women self-help groups in Bayelsa State, Nigeria. _Agricultura Tropica et Subtropica, 41_ (4), 189–195.

[12] Olayemi, J. K., & Onyenwaku, C. E. (2009). Application of queueing theory to rice processing in Nigeria. _Nigerian Journal of Agricultural Economics, 3_ (1), 45–52.

[13] Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. _Journal of Economic Literature, 52_ (1), 5–44. DOI: 10.1257/jel.52.1.5

[14] Central Bank of Nigeria. (2024). _Statistical Bulletin_. Abuja: CBN.

[15] Ajah, E. A., & Ani, D. P. (2017). Access to credit and agricultural productivity: Evidence from smallholder farmers in Nigeria. _International Journal of Agricultural Management and Development, 7_ (3), 305–313. DOI: 10.22004/ag.econ.264288

[16] Ololade, R. A., & Olagunju, F. I. (2013). Determinants of access to credit among rural farmers in Oyo State, Nigeria. _Global Journal of Science Frontier Research Agriculture and Veterinary, 13_ (2), 5–10.

[17] Adesiyan, A. T., & Kehinde, A. D. (2024). Credit access, land use, and crop diversification in Nigeria. _Heliyon, 10_ (8), e11875. DOI: 10.1016/j.heliyon. 2024.e11875

[18] Diagne, A., & Zeller, M. (2001). Access to credit and its impact on welfare in Malawi. _IFPRI Research Report 116_. Washington, DC: IFPRI. DOI: 10.2499/0896291167

[19] Kleinrock, L. (1975). _Queueing Systems Volume I: Theory_. Wiley. ISBN: 978-0471491101

[20] Hillier, F. S., & Lieberman, G. J. (2021). _Introduction to Operations Research_. 11th ed. McGraw-Hill.

[21] Chibanda, M., Ortmann, G. F., & Lyne, M. C. (2009). Institutional and governance factors influencing the performance of agricultural cooperatives in KwaZulu-Natal. _Agrekon, 48_ (3), 293–315. DOI: 10.1080/03031853.2009.9523827

[22] Onah, O. G., et al. (2024). Financial literacy and cooperative financial performance in Nigeria: The moderating role of credit access. _Journal of Economics and Allied Research, 9_ (3), 403–416.

[23] Adjebeng, A. S., & Acquah, H. D. G. (2023). Digital financial services and agricultural productivity in Ghana. _Agricultural Finance Review, 83_ (4), 512–528. DOI: 10.1108/AFR-09-2022-0112

[24] Awe, T. E. A., & Oriade, O. A. (2023). Credit rationing and loan repayment performance among smallholder farmers in Nigeria. _AIMS Agriculture and Food, 8_ (1), 151–163. DOI: 10.3934/agrfood.2023009

[25] Adeoye, I. B., et al. (2023). Market access, cooperative membership, and welfare among smallholder farmers in Nigeria. _Journal of Agribusiness and Rural Development, 70_ (3), 215–230. DOI: 10.17306/J.JARD.2023.01642

[26] Adigun, G. T. (2022). Credit access among women farmers in Kwara State, Nigeria. _Nigerian Agricultural Journal, 53_ (2), 121–128. DOI: 10.4314/naj. v53i2.15

[27] Kassouri, Y., & Kacou, K. Y. T. (2022). Does the structure of credit markets affect agricultural development in West African countries? _Economic Analysis and Policy, 73_, 588–601. DOI: 10.1016/j.eap.2021.12.015

[28] Birchall, J. (2013). _Resilience in a Downturn: The Power of Financial Cooperatives_. ILO Report. Geneva: ILO.

[29] Valentinov, V. (2007). Why are cooperatives important in agriculture? An organizational economics perspective. _Journal of Institutional Economics, 3_ (1), 55–69. DOI: 10.1017/S1744137406000555

[30] Muhammad, A. A., & Isah, H. A. (2023). Agricultural financing and agricultural output in Nigeria: Evidence from ARDL approach. _CBN Journal of Applied Statistics, 14_ (1), 1–25. DOI: 10.33429/Cjas.14123.1/6

@article{1718968,
      author = {Iyekekpolor M. N., Ogbochie V. E., Iyasele R. O.},
      title = {Queue Modeling and Cooperative Credit Access in Benin City: A Study of Rural Husbandmen Cooperative Credit and Relief Programme},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {3685-3688},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718968.pdf},
      abstract = {Credit access remains a critical constraint for smallholder farmers in Nigeria despite policy interventions. This study applied queueing theory to analyze the efficiency of loan processing at the Rural Husbandmen Cooperative Credit and Relief Programme (RH-CRRP) in Benin City, Edo State, between 2011 and 2015. Using cooperative records and survey data from 60 respondents, the study found an 88.2% loan approval rate with a traffic intensity of 1.132, indicating system overload. Key constraints included inadequate finance (M=2.66), loan repayment issues (M=2.64), and embezzlement (M=2.52). Findings suggest that cooperative credit systems require improved financial management, digital processing, and financial literacy training to reduce queuing delays and enhance farmer productivity.},
      keywords = {Queueing Theory, Cooperative Credit, Agricultural Finance, RH-CRRP, Benin City, Nigeria},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1718968}
  }