Background of the Study
Risk-sharing models are central to Islamic finance and increasingly relevant in agricultural banking, where uncertainties from environmental, market, and production risks are prevalent. United Bank for Africa (UBA) has adopted various risk-sharing mechanisms, such as profit-and-loss sharing, joint venture financing, and cooperative lending, to distribute risk more equitably between the bank and borrowers (Abubakar, 2023). These models help mitigate credit risk by aligning the interests of both parties, ensuring that losses are shared in adverse circumstances while allowing for shared benefits in profitable periods. In the context of agricultural finance, where income is often seasonal and unpredictable, risk-sharing models provide a more sustainable approach compared to conventional interest-based lending (Ogunleye, 2024).
UBA’s implementation of risk-sharing models involves innovative credit structures that take into account the inherent volatility of agricultural outputs. For instance, partnerships with farmers may involve equity participation or joint investment schemes, which allow the bank to benefit directly from improved farm performance (Ibrahim, 2025). The use of digital tools to monitor and analyze borrower performance further enhances the effectiveness of these models, enabling realtime adjustments to credit terms based on market conditions. This adaptive approach not only reduces the likelihood of loan defaults but also promotes financial inclusion by making credit accessible to farmers who might otherwise be excluded under traditional lending criteria.
However, despite these benefits, challenges persist in standardizing risk-sharing models and ensuring their scalability across different regions. Divergent interpretations of risk-sharing principles and regulatory constraints can hinder the widespread adoption of these innovative financial products. Additionally, effective risk-sharing requires high levels of trust and transparency, which may be compromised by inadequate information systems and limited financial literacy among borrowers. This study evaluates the risk-sharing models employed by UBA in agricultural banking, aiming to identify best practices and areas for improvement that can enhance credit performance and rural development.
Statement of the Problem
Although risk-sharing models offer a promising alternative to conventional lending in agricultural finance, United Bank for Africa faces challenges in their effective implementation. One major problem is the difficulty in quantifying and managing the risks associated with unpredictable agricultural yields and market conditions (Chinwe, 2023). Traditional risk assessment tools may not fully capture the dynamic nature of agricultural production, leading to mispricing of risk and potential financial losses. Additionally, inconsistent regulatory interpretations of risk-sharing principles can create uncertainty for both the bank and its borrowers, thereby affecting the uptake of these models.
Another significant issue is the requirement for a high degree of transparency and trust between the bank and its clients. Many smallholder farmers, due to limited financial literacy, may find it challenging to understand the complexities of risk-sharing arrangements, which can lead to lower participation rates and increased default risk (Olayinka, 2024). Moreover, technological limitations in tracking and analyzing realtime performance data further complicate risk management within these models. These challenges not only affect the financial sustainability of risk-sharing arrangements but also limit their potential to drive agricultural development and financial inclusion. This study aims to examine these problems in detail by evaluating UBA’s risk-sharing models and identifying the barriers to their successful implementation, with the ultimate goal of recommending measures to enhance model reliability and scalability.
Objectives of the Study
• To evaluate the effectiveness of risk-sharing models in agricultural banking.
• To identify challenges in risk quantification and management within these models.
• To propose strategies for standardizing and scaling risk-sharing mechanisms.
Research Questions
• How do risk-sharing models affect credit performance in agricultural banking?
• What are the main challenges in implementing these models?
• What improvements can enhance transparency and risk management?
Research Hypotheses
• H1: Risk-sharing models significantly reduce the incidence of loan defaults.
• H2: Improved data analytics enhances the effectiveness of risk-sharing.
• H3: Standardized risk-sharing frameworks boost borrower confidence.
Scope and Limitations of the Study
This study focuses on UBA’s risk-sharing models in agricultural banking from 2023 to 2025. Limitations include variations in regulatory interpretations and differences in borrower financial literacy.
Definitions of Terms
• Risk-Sharing Models: Financial arrangements where risk is distributed between the bank and the borrower.
• Profit-and-Loss Sharing: A model in which gains and losses are shared between parties according to a predetermined ratio.
• Credit Performance: The overall quality and repayment behavior of a loan portfolio.
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