THE ROLE OF COMMERCIAL BANKS IN AGRICULTURAL GROWTH AND DEVELOPMENT IN NIGERIA

CHAPTER ONE: INTRODUCTION

1.1 Background of Study

Commercial banks are financial institutions that accept deposits from the public, provide checking and savings accounts, and make loans to individuals, businesses, and governments (CBN, 2022). In Nigeria, commercial banks are the primary source of formal credit for the agricultural sector, providing loans, advances, and overdrafts to farmers, agribusinesses, and agricultural cooperatives for agricultural purposes (input purchase, equipment acquisition, land improvement, labour hire, and post-harvest handling) (Okonkwo, 2020). Commercial banks play a critical role in agricultural growth and development by channelling financial resources from savers (depositors) to borrowers (farmers and agribusinesses), thereby facilitating investment, technology adoption, and productivity growth (Schultz, 1964; Diamond, 1984).

The Nigerian agricultural sector contributes approximately 25% to Gross Domestic Product (GDP) and employs about 35% of the labour force, yet it receives less than 5% of total commercial bank credit (CBN, 2022; NBS, 2022). This disparity between the sector’s economic importance and its share of bank credit reflects the perceived high risk of agricultural lending (climate risk, price risk, pest and disease risk, borrower default), lack of collateral (land titles), high transaction costs (small loan sizes, remote rural locations), and information asymmetry (banks cannot easily assess farmers’ creditworthiness) (Adebayo and Ogunyemi, 2020; Okafor and Nwosu, 2020). Despite these challenges, commercial banks remain the most significant formal source of agricultural credit in Nigeria.

The historical evolution of commercial bank credit to agriculture in Nigeria can be divided into several phases (CBN, 2022; Okonkwo, 2020). Pre-1970s: Commercial banks were predominantly urban-based and reluctant to lend to agriculture, focusing instead on trade and commerce. 1970s: The oil boom led to neglect of agriculture; commercial bank credit to agriculture remained very low (<2% of total credit). 1980s: The Agricultural Credit Guarantee Scheme (ACGS) was established in 1977 to encourage bank lending by guaranteeing up to 75% of loan defaults. However, uptake was low due to bureaucratic bottlenecks and low awareness. 1990s: Banking crisis (1994-1995) led to bank failures and reduced credit to agriculture. 2000s: Banking consolidation (2004-2005) reduced the number of banks from 89 to 25, increasing capital base and potentially lending capacity. Agricultural credit increased but remained low (<5% of total credit). 2010s: Agricultural Transformation Agenda (ATA) (2011-2015) and Agricultural Promotion Policy (APP) (2016-2020) included credit components (e-wallet for inputs, Anchor Borrowers’ Programme). However, commercial bank credit to agriculture remained below 5% of total credit.

The role of commercial banks in agricultural growth and development operates through multiple channels (Diamond, 1984; Freixas and Rochet, 2019; Schultz, 1964). Credit provision: Banks provide loans for input purchase (seeds, fertilizers, pesticides), equipment acquisition (pumps, sprayers, planters, tractors), land improvement (irrigation, drainage), labour hire, and post-harvest handling (storage, processing). Financial intermediation: Banks channel savings from depositors to borrowers (farmers), reducing information asymmetry (screening, monitoring) and transaction costs. Risk management: Banks assess borrower risk, require collateral, and may require insurance, reducing default risk. Payment services: Banks provide checking accounts, electronic transfers, and other payment services that facilitate agricultural transactions. Advisory services: Some banks provide agricultural advisory services (extension) to their farm borrowers, improving farm management and reducing default risk.

The Nigerian government has implemented several policies and programmes to encourage commercial bank lending to agriculture (FMARD, 2021; CBN, 2022). Agricultural Credit Guarantee Scheme (ACGS) (1977): Government guarantees up to 75% of loan defaults, reducing bank risk. Agricultural Credit Support Scheme (ACSS) (2009): Loans for input purchase. Commercial Agriculture Credit Scheme (CACS) (2009): Low-interest loans (5-9%) via bonds. Anchor Borrowers’ Programme (ABP) (2015): Loans (cash and inputs) to smallholders linked to processors. Microfinance banks (MFBs): Licensed micro-credit institutions, some with agricultural focus. Bank of Agriculture (BOA): Development bank specifically for agricultural lending. Despite these programmes, commercial bank credit to agriculture remains low (less than 5% of total credit) (CBN, 2022).

Commercial Bank Credit to Agriculture in Nigeria (1981-2020):

Period	Agricultural Credit (₦ million, nominal)	Share of Total Credit (%)	Characteristics
1981-1985	100-500 million	3-5%	Pre-SAP; modest
1986-1993	500-2,000 million	2-4%	SAP; declining share
1994-1998	2,000-5,000 million	1-2%	Banking crisis; very low
1999-2007	5,000-50,000 million	2-4%	Democratic recovery
2008-2012	50,000-200,000 million	3-5%	ATA period
2013-2015	200,000-400,000 million	4-6%	Moderation
2016-2020	400,000-800,000 million	3-5%	Recession, COVID-19

(Source: CBN, 2022)

The constraints facing commercial bank lending to agriculture are well-documented (Adebayo and Ogunyemi, 2020; Eze and Nweze, 2019; Okafor and Nwosu, 2020). Perceived high risk: Climate risk (drought, flood), price risk (volatility), pest and disease risk, borrower default risk. Lack of collateral: Most smallholders operate on customary land without formal titles, cannot provide land titles that banks require. High transaction costs: Small loan sizes, remote rural locations, high cost of screening and monitoring. Information asymmetry: Banks cannot easily assess farmers’ creditworthiness (no credit history, no formal records). Low financial literacy: Many farmers lack understanding of loan products, application procedures, and repayment obligations. Poor infrastructure: Lack of rural bank branches, poor roads, unreliable electricity. Policy inconsistency: Government programmes (subsidies, guarantees) change frequently, creating uncertainty.

From a theoretical perspective, this study is supported by three theories: Financial Intermediation Theory (Diamond, 1984; Freixas and Rochet, 2019), which explains the role of banks in channelling savings to borrowers, reducing information asymmetry and transaction costs; Agricultural Development Theory (Schultz, 1964), which argues that investment in agriculture (including credit) is essential for transforming traditional agriculture and generating economic growth; and Credit Rationing Theory (Stiglitz and Weiss, 1981), which explains why lenders may deny credit to borrowers even when they are willing to pay high interest rates, due to adverse selection and moral hazard.

In summary, commercial banks play a critical role in agricultural growth and development by providing credit, financial intermediation, risk management, payment services, and advisory services. However, commercial bank credit to agriculture in Nigeria is very low (less than 5% of total credit), despite the sector’s contribution of 25% to GDP and 35% to employment. Government programmes (ACGS, CACS, ABP) have had limited success in increasing commercial bank lending to agriculture. This study aims to examine the role of commercial banks in agricultural growth and development in Nigeria, assessing the impact of commercial bank credit on agricultural output, identifying the constraints to bank lending, and proposing recommendations for improving bank involvement in agricultural finance.

1.2 Statement of Problems

Despite the recognized importance of credit for agricultural productivity, commercial bank lending to agriculture in Nigeria has been persistently low (typically less than 5% of total bank credit). The agricultural sector contributes 25% of GDP and employs 35% of the labour force, yet receives less than 5% of commercial bank credit. Consequently, smallholder farmers (over 80% of farmers) lack access to formal credit, constraining their ability to purchase improved seeds, fertilizers, pesticides, and equipment, resulting in low yields (30-60% below potential), low output, and low income. Government programmes (ACGS, CACS, ABP, BOA) have had limited success in increasing commercial bank lending to agriculture. It is unclear what factors most significantly constrain bank lending (collateral, risk perception, transaction costs, information asymmetry, policy inconsistency). It is also unclear whether commercial bank credit has a significant impact on agricultural output and whether credit Granger-causes output or output Granger-causes credit (reverse causality). The problem this study addresses is the need to examine the role of commercial banks in agricultural growth and development in Nigeria, assessing the impact of commercial bank credit on agricultural output, identifying constraints to bank lending, and proposing recommendations for improving bank involvement in agricultural finance.

1.3 Aim of the Study

The specific aim of this research work is to examine the role of commercial banks in agricultural growth and development in Nigeria, by assessing the impact of commercial bank credit on agricultural output, identifying the constraints facing commercial bank lending to agriculture, and proposing recommendations for improving bank involvement in agricultural finance.

1.4 Objectives of the Study

1. To assess the trend and composition of commercial bank credit to agriculture in Nigeria from 1981 to 2020.
2. To determine the impact of commercial bank credit on agricultural output (agricultural GDP) in Nigeria.
3. To identify the constraints (collateral, risk perception, transaction costs, information asymmetry, policy inconsistency) facing commercial bank lending to agriculture.
4. To assess the effectiveness of government credit programmes (ACGS, CACS, ABP) in stimulating commercial bank lending to agriculture.
5. To propose recommendations for improving the role of commercial banks in agricultural growth and development.

1.5 Research Questions

1. What is the trend and composition of commercial bank credit to agriculture in Nigeria from 1981 to 2020?
2. What is the impact of commercial bank credit on agricultural output (agricultural GDP) in Nigeria?
3. What are the constraints (collateral, risk perception, transaction costs, information asymmetry, policy inconsistency) facing commercial bank lending to agriculture?
4. How effective are government credit programmes (ACGS, CACS, ABP) in stimulating commercial bank lending to agriculture?
5. What recommendations can be proposed for improving the role of commercial banks in agricultural growth and development?

1.6 Research Hypotheses

Hypothesis One

• H₀ (Null): Commercial bank credit has no significant impact on agricultural output (agricultural GDP) in Nigeria.
• H₁ (Alternative): Commercial bank credit has a significant impact on agricultural output in Nigeria.

Hypothesis Two

• H₀ (Null): There is no long-run relationship (cointegration) between commercial bank credit and agricultural output.
• H₁ (Alternative): There is a long-run relationship between commercial bank credit and agricultural output.

Hypothesis Three

• H₀ (Null): Commercial bank credit does not Granger-cause agricultural output.
• H₁ (Alternative): Commercial bank credit Granger-causes agricultural output.

Hypothesis Four

• H₀ (Null): There are no significant constraints (collateral, risk perception, transaction costs, information asymmetry, policy inconsistency) facing commercial bank lending to agriculture.
• H₁ (Alternative): There are significant constraints facing commercial bank lending to agriculture.

Hypothesis Five

• H₀ (Null): Government credit programmes (ACGS, CACS, ABP) have no significant effect on commercial bank lending to agriculture.
• H₁ (Alternative): Government credit programmes have a significant effect on commercial bank lending to agriculture.

1.7 Justification of the Study

This study is justified on several grounds. First, despite the importance of credit for agricultural productivity, commercial bank lending to agriculture in Nigeria is very low. Quantifying the impact of credit on agricultural output is essential for policy. Second, understanding the constraints facing commercial bank lending to agriculture (collateral, risk perception, transaction costs, information asymmetry, policy inconsistency) will inform interventions to remove those constraints. Third, evaluating the effectiveness of government credit programmes (ACGS, CACS, ABP) will identify which programmes are working and which need reform. Fourth, the findings will inform agricultural credit policy (CBN, FMARD, Bank of Agriculture, commercial banks). Fifth, the study will contribute to the limited literature on agricultural finance in Nigeria.

1.8 Significance of the Study

The findings of this research will be significant to several stakeholders. To the Central Bank of Nigeria (CBN) , the study will provide evidence on the effectiveness of commercial bank credit to agriculture, informing credit policy (credit to agriculture targets, interest rate subsidies, credit guarantee schemes). To the Federal Ministry of Agriculture and Rural Development (FMARD) , the findings will inform agricultural credit programme design (ACGS, CACS, ABP). To commercial banks, the findings will inform agricultural lending strategies and risk assessment. To smallholder farmers, the study will provide evidence on the importance of credit and advocate for improved access. To development partners (World Bank, IFAD, FAO, AfDB) , the findings will inform project design for agricultural finance programmes. To academic researchers, the study will contribute empirical evidence on credit-agriculture linkages, testing and extending financial intermediation theory, agricultural development theory, and credit rationing theory.

1.9 Scope of the Study

The scope of this study is delimited to the role of commercial banks in agricultural growth and development in Nigeria. The study uses annual time-series data from 1981 to 2020 (40 observations). Variables include: commercial bank credit to agriculture (₦ million, nominal and real), agricultural output (agricultural GDP, ₦ billion, constant prices), agricultural GDP growth rate (%), interest rate (lending rate, %), government agricultural expenditure (₦ billion), ACGS loans (₦ million), CACS disbursements (₦ million), ABP disbursements (₦ million). The study employs time-series econometric methods: unit root tests (ADF, PP, KPSS), cointegration tests (Engle-Granger, Johansen), error correction model (ECM), and Granger causality tests. The study also includes primary data collection (survey of bank loan officers, survey of farmers) to identify constraints. The study does not extend to other sources of agricultural credit (microfinance banks, cooperative credit, informal credit), nor to other sectors of the economy (manufacturing, services, oil), nor to micro-level analysis beyond the survey component.

1.10 Definition of Terms

Commercial Bank Credit to Agriculture: Loans, advances, and overdrafts provided by commercial banks to farmers, agribusinesses, and agricultural cooperatives for agricultural purposes (input purchase, equipment acquisition, land improvement, labour hire, post-harvest handling). Measured in ₦ million (nominal and real).

Agricultural Growth: The sustained increase in agricultural output (agricultural GDP), measured as the annual percentage change in real agricultural GDP.

Agricultural Development: The process of improving agricultural productivity, output, and efficiency through technological innovation (improved seeds, fertilizers, irrigation), institutional reform (land tenure, credit, extension), infrastructure development (roads, storage, markets), and human capital development (farmer education, training).

Agricultural Credit Guarantee Scheme (ACGS): A Nigerian government programme (established 1977) that guarantees bank loans to smallholder farmers (up to 75% of loan amount), reducing bank risk and encouraging lending to agriculture.

Commercial Agriculture Credit Scheme (CACS): A Nigerian government programme providing loans to agricultural enterprises at single-digit interest rates (5-9%), funded through bonds issued by the CBN.

Anchor Borrowers’ Programme (ABP): A Nigerian government programme (launched 2015) that provides loans (cash and inputs) to smallholder farmers linked to processors (anchors); farmers repay loans with harvest purchased by the anchor processor.

Financial Intermediation Theory: A theory (Diamond, 1984; Freixas and Rochet, 2019) explaining the role of banks as intermediaries between savers and borrowers, reducing information asymmetry (adverse selection, moral hazard) and transaction costs.

Agricultural Development Theory: A theory (Schultz, 1964) arguing that investment in agriculture (credit, inputs, technology, extension, research, infrastructure) transforms traditional agriculture into a productive, modern sector, generating economic growth.

Credit Rationing Theory: A theory (Stiglitz and Weiss, 1981) explaining why lenders may deny credit to borrowers even when they are willing to pay high interest rates, due to adverse selection (higher interest rates attract riskier borrowers) and moral hazard (borrowers take riskier actions after receiving loans).

Adverse Selection: A problem in credit markets where lenders cannot distinguish between high-risk and low-risk borrowers; as interest rates rise, high-risk borrowers are more likely to apply (because they have less to lose), leading to a pool of borrowers with higher than average risk.

Moral Hazard: A problem in credit markets where borrowers, once they have received a loan, may engage in riskier behaviour (e.g., planting riskier crops, reducing effort, diverting funds) because they bear less than the full cost of default (lender bears part of the loss).

Transaction Costs (Credit): The costs incurred by banks in originating, screening, monitoring, and collecting loans, including application processing, credit checks, field visits, legal fees, and collection efforts. High transaction costs for small loans discourage bank lending to smallholders.

Collateral: An asset (land, building, vehicle, equipment, livestock) that a borrower pledges to a lender as security for a loan; if the borrower defaults, the lender can seize and sell the asset to recover the loan amount. Lack of formal land titles (customary tenure) is a major constraint for smallholders.

CHAPTER TWO: LITERATURE REVIEW

2.1 Conceptual Framework

The conceptual framework for this study is organized around the key concepts of commercial banks, agricultural growth and development, the channels through which commercial banks affect agriculture, and the constraints facing bank lending to agriculture. These concepts are defined, operationalized, and related to one another below.

2.1.1 Concept of Commercial Banks

Commercial banks are financial institutions licensed by the Central Bank of Nigeria (CBN) to accept deposits from the public, provide checking and savings accounts, and make loans to individuals, businesses, and governments (CBN, 2022). Commercial banks are the primary source of formal credit in Nigeria, operating through branch networks (urban and rural), automated teller machines (ATMs), mobile banking, and internet banking (Okonkwo, 2020).

Functions of Commercial Banks Relevant to Agriculture:

Function	Description	Agricultural Application
Deposit mobilization	Accept savings and current deposits	Farmers deposit sale proceeds
Credit provision	Make loans to borrowers	Loans for inputs, equipment, land improvement
Financial intermediation	Channel savings to borrowers	Farmers access funds from depositors
Payment services	Cheques, transfers, mobile payments	Payments for inputs, produce sales
Risk management	Assess borrower risk, require collateral	Reduces default risk
Advisory services	Financial advice, agricultural extension	Improves farm management

Types of Agricultural Loans Provided by Commercial Banks:

Loan Type	Purpose	Repayment Period	Typical Interest Rate
Short-term (seasonal)	Input purchase (seeds, fertilizers, pesticides), labour hire	Less than 1 year (repaid after harvest)	20-30%
Medium-term	Equipment purchase (pumps, sprayers, planters), land improvement	1-5 years	20-25%
Long-term	Irrigation, tree crops (cocoa, oil palm, rubber), land purchase	More than 5 years	18-22%

(Source: CBN, 2022; Okafor and Nwosu, 2020)

2.1.2 Concept of Agricultural Growth and Development

Agricultural growth refers to the sustained increase in agricultural output (agricultural GDP), measured as the annual percentage change in real agricultural GDP (Schultz, 1964). Agricultural development is a broader concept encompassing improvements in productivity, efficiency, technology adoption, infrastructure, institutions, and farmer welfare (Timmer, 2019).

Indicators of Agricultural Growth and Development:

Indicator	Definition	Unit
Agricultural GDP	Value added of agriculture at constant prices	₦ billion
Agricultural GDP growth rate	Annual percentage change in agricultural GDP	%
Crop yield	Output per hectare for major crops	tons/ha
Fertilizer use	Quantity of fertilizer applied per hectare	kg/ha
Improved seed adoption	Percentage of farmers using improved varieties	%
Irrigation coverage	Percentage of cultivated area under irrigation	%
Agricultural credit	Commercial bank credit to agriculture	₦ million
Value addition	Processing of agricultural products	% of agricultural GDP

2.1.3 Channels Through Which Commercial Banks Affect Agricultural Growth

Commercial banks affect agricultural growth through multiple interconnected channels (Diamond, 1984; Schultz, 1964; Stiglitz and Weiss, 1981).

Channel 1: Credit Provision Channel

Bank Action	Effect on Farmer	Effect on Agricultural Growth
Loan for input purchase	Farmer buys seeds, fertilizers, pesticides	Higher yields, higher output
Loan for equipment	Farmer buys pumps, sprayers, planters	Labour saved, timeliness, higher output
Loan for land improvement	Farmer invests in irrigation, drainage	Higher yields, dry season cultivation
Loan for labour hire	Farmer hires workers for planting, weeding, harvesting	More area cultivated

Channel 2: Financial Intermediation Channel

Bank Action	Effect on Economy	Effect on Agricultural Growth
Mobilizes savings from depositors	Pool of loanable funds	Increased credit available for agriculture
Screens borrowers	Reduces adverse selection	Credit goes to viable farmers
Monitors borrowers	Reduces moral hazard	Lower default rates, more lending
Diversifies risk	Lends to many borrowers	Stable credit supply

Channel 3: Risk Management Channel

Bank Action	Effect on Farmer	Effect on Agricultural Growth
Requires collateral	Farmer provides land title, assets	Reduces bank risk, enables lending
Requires insurance	Farmer buys crop/livestock insurance	Reduces default risk, enables lending
Loan structuring	Repayment aligned with harvest cycle	Reduces default risk

Channel 4: Payment Services Channel

Bank Action	Effect on Farmer	Effect on Agricultural Growth
Deposit accounts	Farmer saves sale proceeds	Accumulates capital for investment
Cheques, transfers	Pays for inputs, receives payments	Facilitates transactions
Mobile banking	Access to banking services remotely	Reduces transaction costs

Channel 5: Advisory Services Channel

Bank Action	Effect on Farmer	Effect on Agricultural Growth
Agricultural extension advice	Improved farm management	Higher yields, lower risk
Financial literacy training	Better financial management	Lower default rates
Market information	Better prices for produce	Higher farm income

2.1.4 Constraints Facing Commercial Bank Lending to Agriculture

Constraint	Description	Impact
Perceived high risk	Climate risk (drought, flood), price risk, pest and disease risk, borrower default risk	Banks ration credit, charge high interest
Lack of collateral	Customary land tenure (no formal title); smallholders lack assets	Excludes smallholders from formal credit
High transaction costs	Small loan sizes; remote rural locations; high cost of screening and monitoring	Banks prefer larger loans (urban borrowers)
Information asymmetry	Banks cannot easily assess farmers’ creditworthiness (no credit history, no formal records)	Adverse selection, moral hazard
Low financial literacy	Farmers lack understanding of loan products, application procedures, repayment obligations	High default rates
Poor infrastructure	Lack of rural bank branches; poor roads; unreliable electricity	High operating costs for banks
Policy inconsistency	Government programmes (subsidies, guarantees) change frequently	Uncertainty for banks

2.1.5 Government Programmes to Stimulate Commercial Bank Lending to Agriculture

Programme	Year	Mechanism	Target	Effectiveness
ACGS	1977	75% loan guarantee	Smallholders	Limited (low awareness, bureaucracy)
CACS	2009	Low-interest (5-9%) bonds	All agricultural enterprises	Moderate (limited reach to smallholders)
ABP	2015	Input loans + off-taker guarantee	Smallholders in value chains	Moderate (rice, maize, cotton, cassava)
BOA	1972	Agricultural development bank	All farmers	Limited (under-capitalized)
MFBs	2005+	Micro-credit institutions	Low-income individuals, microenterprises	Limited (urban bias, high interest)

(Source: CBN, 2022; FMARD, 2021; Okonkwo, 2020)

2.1.6 Conceptual Framework Diagram (Described in Text)

The conceptual framework can be visualized as follows:

Commercial Bank Actions → Channels → Agricultural Growth Outcomes

Independent Variables (Commercial Bank Actions):

• Credit provision (loans for inputs, equipment, land improvement, labour)
• Financial intermediation (savings mobilization, screening, monitoring, diversification)
• Risk management (collateral, insurance, loan structuring)
• Payment services (deposit accounts, transfers, mobile banking)
• Advisory services (extension, financial literacy, market information)

↓ Channels (Mediating Variables):

• Credit provision channel (inputs, equipment, land improvement, labour)
• Financial intermediation channel (savings → loans)
• Risk management channel (reduces default risk)
• Payment services channel (facilitates transactions)
• Advisory services channel (improves farm management)

↓ Dependent Variables (Agricultural Growth and Development):

• Agricultural GDP (₦ billion, constant prices)
• Agricultural GDP growth rate (%)
• Crop yields (tons/ha)
• Fertilizer use (kg/ha)
• Improved seed adoption (%)
• Irrigation coverage (%)
• Value addition (processing)

Moderating Variables (Constraints):

• Perceived high risk
• Lack of collateral
• High transaction costs
• Information asymmetry
• Low financial literacy
• Poor infrastructure
• Policy inconsistency

Moderating Variables (Government Programmes):

• ACGS (credit guarantee)
• CACS (low interest)
• ABP (anchor borrowers)
• BOA (development bank)
• MFBs (micro-credit)

The framework posits that commercial bank actions (credit provision, financial intermediation, risk management, payment services, advisory services) affect agricultural growth outcomes (agricultural GDP, yields, input use, etc.) through five channels. The effectiveness of these channels is moderated by constraints (perceived risk, lack of collateral, transaction costs, information asymmetry, poor infrastructure) and enhanced by government programmes (ACGS, CACS, ABP, BOA, MFBs).

2.2 Theoretical Framework

This study is anchored on three supporting theories that provide a comprehensive theoretical foundation for understanding the role of commercial banks in agricultural growth and development. These theories are Financial Intermediation Theory, Agricultural Development Theory, and Credit Rationing Theory.

2.2.1 Financial Intermediation Theory

Financial Intermediation Theory, developed by Diamond (1984) and extended by Freixas and Rochet (2019), explains the role of financial institutions (banks, microfinance banks) as intermediaries between savers (surplus units) and borrowers (deficit units), reducing information asymmetry and transaction costs (Diamond, 1984; Freixas and Rochet, 2019).

Core Propositions (Diamond, 1984; Freixas and Rochet, 2019):

1. Information asymmetry: Lenders (savers) cannot easily assess the creditworthiness of borrowers (farmers) or monitor their use of funds. Borrowers have private information about their risk and effort (adverse selection, moral hazard).
2. Transaction costs: Direct lending between savers and borrowers is costly (search costs, contracting costs, monitoring costs, enforcement costs).
3. Financial intermediaries reduce information asymmetry and transaction costs: Banks specialize in screening borrowers (reducing adverse selection), monitoring borrowers (reducing moral hazard), diversifying risk (lending to many borrowers), and achieving economies of scale (reducing transaction costs per loan).
4. Delegated monitoring: Banks act as “delegated monitors” for savers, who cannot monitor borrowers themselves.
5. Credit rationing: Even with financial intermediation, some borrowers (especially smallholders) may be rationed (denied credit) because screening and monitoring costs are high relative to loan size, or because they lack collateral.

Application to Commercial Banks and Agriculture

Financial Intermediation Theory predicts (Diamond, 1984; Freixas and Rochet, 2019):

• Why commercial banks are reluctant to lend to agriculture: Information asymmetry is severe (farmers’ risk difficult to assess); transaction costs are high (small loan sizes, remote rural locations); collateral is lacking.
• Why screening and monitoring are important: Banks that effectively screen and monitor borrowers will have lower default rates and can lend more to agriculture.
• Why diversification reduces risk: Banks lending to many farmers in different regions, different crops, different seasons can diversify agricultural risk.
• Why government guarantees (ACGS) are needed: The government guarantee reduces bank risk, encouraging lending to agriculture.

Limitations: Financial Intermediation Theory focuses on formal financial intermediaries and does not fully explain informal credit markets (money lenders, traders) that dominate agricultural finance in Nigeria (Freixas and Rochet, 2019).

2.2.2 Agricultural Development Theory

Agricultural Development Theory, associated with Nobel laureate Theodore Schultz (1964), argues that investment in agriculture (credit, inputs, technology, extension, research, infrastructure) is essential for transforming traditional agriculture into a productive, modern sector (Schultz, 1964).

Core Propositions (Schultz, 1964):

1. Traditional agriculture is poor but efficient: Farmers in traditional agriculture allocate resources efficiently given the constraints they face (limited technology, no credit, poor infrastructure). However, traditional agriculture is “poor” (low output, low income) because of limited investment.
2. Low productivity is not due to farmer irrationality: Farmers are rational but constrained. They do not adopt improved practices because they lack credit to purchase inputs, lack information (extension), or face high risk.
3. Investment in agriculture yields high returns: Investment in agricultural research (improved seeds), human capital (farmer education, extension), credit (inputs), and infrastructure (roads, irrigation) generates high economic returns.
4. Credit is a critical input: Without credit, farmers cannot purchase improved seeds, fertilizers, or irrigation equipment. Credit constraints keep farmers trapped in low-productivity traditional agriculture.
5. Transforming traditional agriculture requires: (a) new technology (high-yielding varieties, fertilizers), (b) incentives (profitable prices for outputs), (c) credit (to purchase inputs), (d) education (extension to teach practices), and (e) infrastructure (roads, storage, markets).

Application to Commercial Banks and Agriculture

Agricultural Development Theory predicts (Schultz, 1964; Timmer, 2019):

• Commercial bank credit is a critical input for transforming traditional agriculture. Without credit, farmers cannot purchase improved seeds, fertilizers, or irrigation equipment.
• The returns to agricultural credit are high (increased yields, increased farm income, increased agricultural GDP).
• Credit constraints (lack of access to affordable credit) keep farmers trapped in low-productivity traditional agriculture.
• Policy should remove credit constraints through subsidized credit, credit guarantees (ACGS), or microfinance.

Limitations: Schultz’s theory was developed before the widespread availability of microfinance and mobile banking. It focuses on formal credit and does not fully address informal credit markets (Schultz, 1964).

2.2.3 Credit Rationing Theory

Credit Rationing Theory, developed by Stiglitz and Weiss (1981), explains why lenders may deny credit to borrowers even when borrowers are willing to pay higher interest rates (Stiglitz and Weiss, 1981).

Core Propositions (Stiglitz and Weiss, 1981):

1. Imperfect information: Lenders cannot perfectly distinguish between low-risk and high-risk borrowers.
2. Adverse selection: As interest rates rise, the pool of applicants becomes riskier (low-risk borrowers drop out, high-risk borrowers remain). The lender’s expected return may eventually decrease as interest rates increase.
3. Moral hazard: Higher interest rates induce borrowers to take riskier actions to earn enough to repay (since they bear less than full cost of default).
4. Credit rationing equilibrium: Instead of raising interest rates to clear the market (which would worsen adverse selection and moral hazard), lenders ration credit: they set interest rates below market-clearing levels and deny credit to some borrowers.

Types of Credit Rationing:

Type	Description	Application to Agriculture
Type 1	Some borrowers receive loans, identical others do not	Two farmers with same observable characteristics; one gets loan, one denied
Type 2	Borrowers receive smaller loans than requested	Farmer applies for ₦100,000, bank approves ₦50,000

Application to Commercial Banks and Agriculture

Credit Rationing Theory predicts (Stiglitz and Weiss, 1981; Okafor and Nwosu, 2020):

• Why lenders require collateral: Collateral reduces adverse selection (only borrowers with assets can pledge) and reduces moral hazard (borrower has skin in the game). Lack of collateral leads to credit rationing.
• Why lenders prefer larger loans: The cost of screening and monitoring is fixed; larger loans spread this cost. Small loan applicants are more likely to be rationed.
• Why lenders are reluctant to lend to agriculture: Agriculture has high risk (production, price, climate) and high information asymmetry (lender cannot easily observe borrower effort, crop health). Credit rationing is severe.
• Why lenders use non-price terms: Interest rates are not the only screening mechanism; lenders also use collateral requirements, repayment schedules, group lending, and other terms.

Limitations: Credit rationing theory focuses on formal credit markets and assumes rational, profit-maximizing lenders. It does not fully explain informal credit (money lenders, traders) where interest rates can be extremely high and rationing may not occur (Stiglitz and Weiss, 1981).

Integration of the Three Theories

The three theories are complementary and collectively provide a robust theoretical framework for this study:

Theory	Focus	Contribution to Study
Financial Intermediation Theory	Role of banks in reducing information asymmetry and transaction costs	Explains why commercial banks are reluctant to lend to agriculture (high information asymmetry, high transaction costs) and why government guarantees (ACGS) are needed
Agricultural Development Theory	Investment in agriculture for transformation	Explains why agricultural credit (from commercial banks) is essential for increasing agricultural output and growth
Credit Rationing Theory	Why lenders deny credit despite borrower willingness to pay higher interest	Explains why smallholders are credit-rationed (lack of collateral, high risk, small loan sizes)

Together, these theories support the study’s examination of the role of commercial banks in agricultural growth and development, recognizing that: (1) financial intermediaries (banks) reduce information asymmetry and transaction costs but still face challenges lending to agriculture (Financial Intermediation); (2) credit is a critical input for transforming traditional agriculture and increasing output (Agricultural Development); and (3) credit rationing occurs due to adverse selection, moral hazard, lack of collateral, and high risk (Credit Rationing).

2.3 Review of Related Empirical Studies

This section reviews empirical studies relevant to the role of commercial banks in agricultural growth and development, organized by geographic focus and key findings.

2.3.1 Studies on Commercial Bank Credit and Agricultural Output (Nigeria)

Adebayo and Ogunyemi (2020) conducted a study on the effect of commercial bank credit on agricultural output in Nigeria (1981-2018). Using a Vector Error Correction Model (VECM), they found that commercial bank credit had a positive and significant effect on agricultural GDP in the long run (elasticity 0.28, p<0.05). A 1% increase in real agricultural credit increased agricultural GDP by 0.28% in the long run. In the short run, the effect was positive but not significant. The study recommended increasing agricultural credit to smallholders.

Eze and Nweze (2019) studied the relationship between commercial bank credit and agricultural output in Enugu State (1990-2018). Using Ordinary Least Squares (OLS) regression, they found a positive and significant relationship (R² = 0.62, p<0.01). However, they did not test for stationarity or cointegration; OLS on non-stationary data may produce spurious results. The study recommended expanding commercial bank credit to agriculture.

Okafor and Nwosu (2020) studied the effect of commercial bank credit to agriculture on agricultural GDP in Nigeria (1981-2019). Using Autoregressive Distributed Lag (ARDL) bounds testing, they found a long-run relationship (cointegration) between agricultural credit and agricultural GDP. The long-run elasticity was 0.32 (p<0.05). The study concluded that commercial bank credit significantly affects agricultural output.

2.3.2 Studies on Constraints to Commercial Bank Lending to Agriculture (Nigeria)

Okafor and Ugwu (2021) studied the constraints to commercial bank lending to agriculture in Anambra State. Using a survey of 50 bank loan officers and 200 farmers, they identified constraints: lack of collateral (85% of loan officers, 90% of farmers), high risk perception (80% of loan officers, 75% of farmers), high transaction costs (70% of loan officers, 65% of farmers), information asymmetry (65% of loan officers, 60% of farmers), and low financial literacy (60% of loan officers, 70% of farmers). The study recommended that the CBN and FMARD address these constraints through collateral substitutes (group lending, warehouse receipts), risk sharing (credit guarantees, insurance), and financial literacy training.

2.3.3 Studies on Government Credit Programmes (Nigeria)

Okonkwo (2020) evaluated the effectiveness of the Anchor Borrowers’ Programme (ABP) in Nigeria (2015-2020). Using a survey of 500 ABP beneficiaries across 10 states, he found that ABP increased access to credit for smallholders (85% of respondents), increased input use (fertilizer +50%, improved seeds +60%), and increased yields (rice +40%, maize +35%). However, problems included: late disbursement (40% of respondents), insufficient loan amounts (35%), and bureaucratic selection (25%). The study recommended improving ABP implementation.

2.3.4 Studies on Commercial Bank Credit and Agricultural Growth (Other Countries)

Study	Country	Period	Key Findings
Chisasa and Makina (2013)	South Africa	1970-2010	Agricultural credit positively affects agricultural output
Abate (2019)	Ethiopia	2000-2015	Microfinance credit increases agricultural productivity (household-level)
Khan and Bashir (2019)	Pakistan	1980-2015	Positive long-run relationship between agricultural credit and GDP
Akinyemi et al. (2019)	Nigeria	1981-2015	Agricultural credit Granger-causes agricultural GDP (unidirectional)

2.3.5 Summary of Empirical Findings

The empirical literature reveals consistent findings: (1) commercial bank credit has a positive effect on agricultural output in Nigeria (elasticities 0.28-0.32); (2) constraints include lack of collateral, high risk perception, high transaction costs, information asymmetry, and low financial literacy; (3) government credit programmes (ABP) have increased access to credit for smallholders but face implementation challenges (late disbursement, insufficient amounts); (4) credit Granger-causes agricultural output (causality from credit to output); (5) most Nigeria studies use time-series methods (VECM, ARDL) but some use OLS without testing for stationarity (spurious regression risk). This study addresses these gaps by using rigorous time-series methods (cointegration, ECM, Granger causality) and primary data on constraints.

2.4 Summary of Literature Review

The table below summarizes key theoretical and empirical literature relevant to the role of commercial banks in agricultural growth and development.

Author(s) and Year	Focus of Study	Strength	Weakness	Limitation	Gap Identified
Diamond (1984); Freixas and Rochet (2019)	Financial Intermediation Theory	Explains bank role in reducing information asymmetry, transaction costs	Focuses on formal finance; less on informal	General theory	Application to agricultural finance needed
Schultz (1964)	Agricultural Development Theory	Credit as critical input for transformation	Pre-microfinance era	General theory	Application to commercial bank credit needed
Stiglitz and Weiss (1981)	Credit Rationing Theory	Explains why lenders deny credit despite high interest rates	Assumes rational lenders	General theory	Application to agricultural credit rationing needed
Adebayo and Ogunyemi (2020)	Credit and agricultural output (Nigeria 1981-2018)	VECM; elasticity 0.28	Period includes post-2007 structural breaks	Period gap	Updated study needed
Eze and Nweze (2019)	Credit and output (Enugu)	Positive relationship	OLS (no stationarity test)	Methodological gap	Cointegration test needed
Okafor and Nwosu (2020)	Credit and agricultural GDP (1981-2019)	ARDL; elasticity 0.32	Period includes post-2007 breaks	Period gap	Updated study needed
Okafor and Ugwu (2021)	Constraints to bank lending (Anambra)	Survey of loan officers and farmers	Single state	Geographic gap	Multi-state study needed
Okonkwo (2020)	ABP evaluation (Nigeria)	Large sample (500 beneficiaries)	Only ABP (not ACGS, CACS)	Programme gap	Multi-programme evaluation needed
Chisasa and Makina (2013)	Credit and output (South Africa)	Positive relationship	South Africa, not Nigeria	Geographic gap	Nigeria replication needed
Abate (2019)	Microfinance and productivity (Ethiopia)	Positive effect (household-level)	Ethiopia, not Nigeria	Geographic gap	Nigeria replication needed
Khan and Bashir (2019)	Credit and GDP (Pakistan)	Positive long-run relationship	Pakistan, not Nigeria	Geographic gap	Nigeria replication needed
Akinyemi et al. (2019)	Granger causality (Nigeria 1981-2015)	Credit Granger-causes GDP	Short period (35 years)	Period gap	Updated causality test needed
CBN (2022)	Statistical bulletin	Official data	Not research; descriptive	No analysis	Analytical study needed
FMARD (2021)	Agricultural sector report	Official data	Not research; descriptive	No analysis	Analytical study needed
NBS (2022)	GDP report	Official data	Not research; descriptive	No analysis	Analytical study needed
World Bank (2021)	Nigeria agricultural review	Overview	Not primary research; descriptive	No primary data	Primary research needed