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CHAPTER ONE: INTRODUCTION
1.1 Background of Study
Food production is the process of cultivating crops and raising livestock to supply food for human consumption (FAO, 2020). In Nigeria, food production encompasses staple crops such as cassava, yam, maize, rice, sorghum, millet, beans, and vegetables, as well as livestock, poultry, and fish (Federal Ministry of Agriculture and Rural Development, 2021). Despite Nigeria’s vast agricultural land (over 34 million hectares of arable land), favourable climate, and abundant water resources, the country is not self-sufficient in food production and relies heavily on imports to meet domestic demand (World Bank, 2021). The annual food import bill is estimated at over ₦2 trillion (approximately $5 billion), with major imports including rice, wheat, sugar, fish, and dairy products (CBN, 2022). This dependence on food imports represents a significant drain on foreign exchange, undermines national food security, and limits rural employment and poverty reduction (Okonkwo, 2020).
Agricultural cooperatives have been recognized globally as effective vehicles for improving food production among small scale farmers, who constitute over 80% of Nigeria’s farming population (FAO, 2020). Cooperatives enable smallholder farmers to overcome the constraints of small farm size, limited capital, poor market access, weak bargaining power, and lack of credit (International Cooperative Alliance, 2020). By pooling resources, farmers in cooperatives can: purchase inputs (seeds, fertilizers, pesticides) in bulk at lower prices; access credit through group guarantees; hire tractors and other machinery; access storage and processing facilities; receive extension training collectively; and negotiate better prices for their produce (Birchall, 2019). Evidence from around the world shows that cooperative members have significantly higher yields, input use, and incomes compared to non-members (Zeuli and Cropp, 2020).
The development of food production in Nigeria faces numerous challenges (Adebayo and Ogunyemi, 2020). Low productivity: Yields of major staples in Nigeria are significantly below potential and below yields achieved in other countries (e.g., maize yield in Nigeria is 1.5-2.0 tons/ha vs. potential 5-6 tons/ha; rice yield 2.0-2.5 tons/ha vs. potential 6-8 tons/ha) (NBS, 2022). Low input use: Fertilizer use in Nigeria is among the lowest in the world (less than 20 kg/ha vs. recommended 200-300 kg/ha; vs. 150 kg/ha in Ghana, 300 kg/ha in China) (World Bank, 2021). Poor access to credit: Less than 20% of smallholder farmers have access to formal credit (CBN, 2022). Weak extension services: The farmer-to-extension agent ratio is over 3,000:1, far above the recommended 400:1 (FMARD, 2021). Post-harvest losses: Estimated at 20-50% for perishable crops due to poor storage, processing, and transport (FAO, 2020). Climate change: Changing rainfall patterns, droughts, floods, and rising temperatures reduce yields and increase production risk (IPCC, 2021). These challenges disproportionately affect small scale farmers, who produce most of Nigeria’s food but operate under severe constraints (Okafor and Nwosu, 2020).
Agricultural cooperatives can address many of these challenges (Eze and Nweze, 2019). Through bulk input purchase, cooperatives reduce the cost of seeds, fertilizers, and pesticides, enabling members to use more inputs and achieve higher yields (Okafor and Ugwu, 2021). Through group credit (savings and loan cooperatives), members access loans without individual collateral, using the funds to purchase inputs, hire labour, and invest in equipment (Nwosu and Okafor, 2021). Through shared mechanization (tractor hire, sprayer hire, thresher hire), members access machinery they could not afford individually, reducing labour requirements and improving timeliness of operations (Adebayo and Ogunyemi, 2020). Through collective marketing, cooperatives negotiate better prices and reduce transaction costs, increasing members’ income and enabling reinvestment in production (Okonkwo, 2020). Through shared processing (mills, dryers, shellers), cooperatives add value to members’ produce, capturing processing margins that would otherwise go to middlemen (Okafor and Nwosu, 2020). Through group extension, cooperatives invite extension agents to train all members together (economies of scale in extension), improving adoption of improved practices (Eze and Nweze, 2019).
The history of agricultural cooperatives in Nigeria dates back to the colonial era (Okonkwo, 2020). The Cooperative Societies Ordinance of 1935 provided the legal framework for cooperative registration and regulation, initially to promote the marketing of cash crops (palm oil, cocoa, groundnuts, cotton) (Eze and Nweze, 2019). After independence, cooperatives were promoted as instruments for rural development, agricultural modernization, and poverty reduction (Okafor and Nwosu, 2020). The Federal Department of Cooperatives (now under FMARD) and State Cooperative Departments were established to register, regulate, and support cooperatives (FMARD, 2018). At various times, government policies provided subsidies, credit, and extension services preferentially to cooperatives (Okonkwo, 2020). However, many cooperatives have been weakened by poor management, inadequate capital, political interference, and lack of member participation (Nwosu and Okafor, 2021).
The current state of agricultural cooperatives in Nigeria is mixed (NBS, 2022). There are thousands of registered cooperatives across the country, but many are inactive or poorly functioning (Okafor and Ugwu, 2021). Challenges include: weak governance (elite capture, poor accountability, no democratic elections), inadequate capital (low savings, poor loan recovery), poor management (lack of trained personnel, poor record keeping), low member participation (members passive, do not attend meetings, do not pay dues), infrastructure deficits (lack of storage, processing, transport), and political interference (politicians appoint leaders, direct funds) (Okonkwo, 2020). Despite these challenges, successful cooperatives demonstrate the potential of the model. For example, cocoa cooperatives in Ondo, Cross River, and Osun States have improved farmer incomes by collectively marketing beans and accessing premium prices (Adebayo and Ogunyemi, 2020). Rice processing cooperatives in Anambra, Ebonyi, and Nasarawa States have enabled members to mill their own rice, capturing the value addition (Okafor and Ugwu, 2021). Credit cooperatives in Edo and Enugu States have provided affordable loans to members who would otherwise be excluded from formal credit (Okafor and Nwosu, 2020).
The potential for agricultural cooperatives to influence food production development in Nigeria is significant (World Bank, 2021). If cooperatives can effectively address the constraints facing small scale farmers (low input use, poor credit access, weak extension, post-harvest losses, climate vulnerability), they could contribute substantially to increasing domestic food production, reducing food imports, improving food security, and reducing rural poverty (FAO, 2020). However, empirical evidence on the actual influence of cooperatives on food production in Nigeria is limited (Eze and Nweze, 2019). Most studies are descriptive (describing cooperatives) rather than analytical (measuring impact). Few studies compare food production indicators (yields, input use, income) between cooperative members and comparable non-members. Few studies identify which cooperative types (supply, credit, marketing, processing, multi-purpose) are most effective for improving food production. Few studies identify the channels through which cooperatives influence production (input access, credit, technology, marketing, processing). Few studies quantify the constraints that limit cooperative effectiveness. This study addresses these gaps.
From a theoretical perspective, this study is supported by three theories: Cooperative Theory (ICA, 2020), which articulates the principles (democratic control, member economic participation, education, concern for community) that enable cooperatives to serve members effectively; Economies of Scale Theory (Marshall, 1920), which explains how bulk purchasing, shared machinery, collective marketing, and shared processing reduce costs and increase incomes; and Collective Action Theory (Ostrom, 1990, 2019), which explains how groups overcome the free rider problem through monitoring, sanctions, and trust, enabling successful cooperation.
In summary, agricultural cooperatives have the potential to significantly influence the development of food production in Nigeria by enabling small scale farmers to access inputs, credit, technology, markets, and processing. However, empirical evidence on this influence is limited. This study aims to examine the influence of agricultural cooperatives on the development of food production in Nigeria, comparing cooperative members and non-members on key food production indicators (yields, input use, income), identifying the most effective cooperative types and channels, and proposing evidence-based recommendations for strengthening cooperatives to enhance food production.
1.2 Statement of Problems
Despite the theoretical potential of agricultural cooperatives to improve food production by enabling small scale farmers to access inputs, credit, technology, markets, and processing, and despite government policies promoting cooperatives, Nigeria continues to face significant food production challenges: low yields (30-60% below potential), low input use (fertilizer <20 kg/ha vs. global average 135 kg/ha), high post-harvest losses (20-50%), heavy dependence on food imports (over ₦2 trillion annually), and persistent food insecurity. Many registered cooperatives are inactive or poorly functioning. The influence of cooperatives on food production development has not been systematically quantified. It is unclear whether cooperative members have significantly higher yields, input use, and incomes compared to non-members. It is unclear which cooperative types (supply, credit, marketing, processing, multi-purpose) are most effective for improving food production. It is unclear through which channels (input access, credit, technology, marketing, processing) cooperatives influence production. It is unclear what constraints (governance, capital, management, participation, infrastructure) limit cooperative effectiveness. The problem this study addresses is the need to empirically examine the influence of agricultural cooperatives on the development of food production in Nigeria, quantify the differences in food production indicators between cooperative members and non-members, identify the most effective cooperative types and channels, and propose evidence-based recommendations for strengthening cooperatives to enhance food production.
1.3 Aim of the Study
The specific aim of this research work is to examine the influence of agricultural cooperatives on the development of food production in Nigeria, with a view to comparing food production indicators (yields, input use, income) between cooperative members and non-members, identifying the most effective cooperative types and channels, and proposing evidence-based recommendations for strengthening cooperatives to enhance food production.
1.4 Objectives of the Study
- To compare input use (fertilizer, improved seeds, pesticides) between agricultural cooperative members and non-member small scale farmers.
- To compare yields (output per hectare) of major food crops between cooperative members and non-member small scale farmers.
- To compare farm income (net profit per hectare) between cooperative members and non-member small scale farmers.
- To assess the effectiveness of different cooperative types (supply, credit, marketing, processing, multi-purpose) in improving food production.
- To identify the constraints limiting the effectiveness of agricultural cooperatives in improving food production.
1.5 Research Questions
- What is the difference in input use (fertilizer, improved seeds, pesticides) between agricultural cooperative members and non-member small scale farmers?
- What is the difference in yields (output per hectare) of major food crops between cooperative members and non-member small scale farmers?
- What is the difference in farm income (net profit per hectare) between cooperative members and non-member small scale farmers?
- Which cooperative types (supply, credit, marketing, processing, multi-purpose) are most effective in improving food production?
- What are the constraints limiting the effectiveness of agricultural cooperatives in improving food production?
1.6 Research Hypotheses
Hypothesis One
- H₀ (Null): There is no significant difference in input use (fertilizer, improved seeds, pesticides) between agricultural cooperative members and non-member small scale farmers.
- H₁ (Alternative): There is a significant difference in input use between cooperative members and non-member small scale farmers.
Hypothesis Two
- H₀ (Null): There is no significant difference in yields (output per hectare) of major food crops between cooperative members and non-member small scale farmers.
- H₁ (Alternative): There is a significant difference in yields between cooperative members and non-member small scale farmers.
Hypothesis Three
- H₀ (Null): There is no significant difference in farm income (net profit per hectare) between cooperative members and non-member small scale farmers.
- H₁ (Alternative): There is a significant difference in farm income between cooperative members and non-member small scale farmers.
Hypothesis Four
- H₀ (Null): There is no significant difference in effectiveness among different cooperative types (supply, credit, marketing, processing, multi-purpose) in improving food production.
- H₁ (Alternative): There is a significant difference in effectiveness among different cooperative types in improving food production.
Hypothesis Five
- H₀ (Null): There are no significant constraints (governance, capital, management, participation, infrastructure) limiting the effectiveness of agricultural cooperatives in improving food production.
- H₁ (Alternative): There are significant constraints limiting the effectiveness of agricultural cooperatives in improving food production.
1.7 Justification of the Study
This study is justified on several grounds. First, despite the importance of cooperatives in agricultural development policy, there is limited empirical evidence quantifying the influence of cooperatives on food production in Nigeria (yields, input use, income). Second, understanding which cooperative types (supply, credit, marketing, processing, multi-purpose) are most effective can inform policy (which types to promote) and farmer decisions (which cooperatives to join). Third, identifying the channels through which cooperatives influence production (input, credit, technology, marketing, processing) can inform cooperative design and capacity building. Fourth, identifying constraints to cooperative effectiveness (governance, capital, management, participation, infrastructure) can inform interventions. Fifth, the findings will inform cooperative policy (FMARD, State Cooperative Departments), cooperative development programmes, donors, and farmers.
1.8 Significance of the Study
The findings of this research will be significant to several stakeholders. To small scale farmers, the study will provide evidence on the benefits of cooperative membership (higher yields, income) and guidance on which types of cooperatives to join. To agricultural cooperatives, the findings will identify best practices (effective types, successful channels) and common pitfalls (constraints) to inform cooperative management and governance improvements. To the Federal Ministry of Agriculture and Rural Development (FMARD) and State Cooperative Departments, the findings will inform cooperative policy (registration, regulation, inspection, training, credit, infrastructure support) to enhance food production. To development partners (World Bank, FAO, IFAD, UNDP) , the findings will inform project design and investment priorities for cooperative development programmes. To academic researchers, the study will contribute empirical evidence on cooperative impact on food production, testing and extending cooperative theory, economies of scale theory, and collective action theory.
1.9 Scope of the Study
The scope of this study is delimited to the influence of agricultural cooperatives on the development of food production in Nigeria. The study focuses on small scale farmers (land holding <2 hectares) who are members of agricultural cooperatives and comparable non-members. The study covers cooperative types: supply cooperatives (bulk input purchase), credit cooperatives (group loans), marketing cooperatives (collective sale), processing cooperatives (shared milling, drying, shelling), and multi-purpose cooperatives (combined functions). The study examines food production indicators: input use (fertilizer, improved seeds, pesticides kg/ha), yields (output per hectare for major food crops: maize, rice, cassava), and farm income (net profit per hectare). The study covers selected states/agricultural zones in Nigeria. The study includes primary data collection (farmer surveys, cooperative leader interviews) and secondary data (cooperative records, agricultural statistics). The study covers the period 2019-2024. The study does not extend to non-agricultural cooperatives (housing, transport, consumer, worker cooperatives), nor to medium/large scale farmers (>2 hectares), nor to livestock or fisheries.
1.10 Definition of Terms
Agricultural Cooperative: A voluntary, democratically controlled organization formed by farmers to pool resources, share risks, and collectively achieve economic, social, and cultural goals, including supply, credit, marketing, processing, and multi-purpose cooperatives.
Food Production: The process of cultivating crops (cereals: maize, rice; roots and tubers: cassava, yam; legumes: beans) for human consumption, measured by input use (fertilizer, seeds, pesticides), yield (output per hectare), and farm income (net profit per hectare).
Supply Cooperative: A cooperative that purchases agricultural inputs (seeds, fertilizers, pesticides) in bulk and distributes to members at lower cost (economies of scale).
Credit Cooperative (Cooperative Thrift and Credit Society): A cooperative that mobilizes savings from members and provides loans to members for agricultural purposes (input purchase, equipment, land improvement), often using group guarantee (no individual collateral required).
Marketing Cooperative: A cooperative that collects, grades, stores, transports, and sells members’ produce collectively, negotiating better prices than individual farmers could achieve (collective bargaining).
Processing Cooperative: A cooperative that owns and operates processing machinery (rice mill, cassava mill, maize sheller, grain dryer) to add value to members’ produce (e.g., paddy rice to milled rice; cassava to garri, flour, starch).
Multi-Purpose Cooperative: A cooperative that combines two or more functions: supply + marketing, supply + credit, marketing + processing, or all functions.
Input Use: The quantity of agricultural inputs (fertilizer in kg per hectare, improved seeds in kg per hectare, pesticides in litres per hectare) applied by a farmer.
Yield: The output of a crop per unit area, typically expressed as kilograms per hectare (kg/ha) or metric tons per hectare (tons/ha).
Farm Income: Net profit per hectare, calculated as (revenue from crop sales) minus (costs of inputs, labour, transport, etc.).
Economies of Scale: The reduction in average cost per unit as the scale of purchase (or production) increases. Cooperatives achieve economies of scale by pooling members’ demand (bulk purchasing) and supply (bulk marketing).
Collective Bargaining: The process of negotiating prices and terms as a group (cooperative) rather than as individuals. Cooperatives have more bargaining power with buyers because they control larger volume.
Group Guarantee: A lending mechanism where the cooperative guarantees repayment of loans to individual members; if one member defaults, the cooperative (other members) is responsible, allowing members without individual collateral to access formal credit.
Free Rider Problem: A problem in collective action where individuals benefit from a collective good (e.g., cooperative achieving higher prices) without contributing their fair share (e.g., selling outside the cooperative).
Cooperative Governance: The structures and processes by which cooperatives are directed, controlled, and held accountable, including elections, board of directors, general meetings, financial transparency, and member participation.
CHAPTER TWO: LITERATURE REVIEW
2.1 Conceptual Framework
The conceptual framework for this study is organized around the key concepts of agricultural cooperatives, food production, the channels through which cooperatives influence food production, cooperative types, and constraints to cooperative effectiveness. These concepts are defined, operationalized, and related to one another below.
2.1.1 Concept of Agricultural Cooperative
An agricultural cooperative is a voluntary, democratically controlled organization formed by farmers to pool their resources, share risks, and collectively achieve economic, social, and cultural goals that individual farmers cannot achieve alone (International Cooperative Alliance, 2020). The core principles of cooperatives, established by the ICA, are:
| Principle | Description |
| Voluntary and open membership | Open to all without discrimination |
| Democratic member control | One member, one vote |
| Member economic participation | Members contribute equitably to capital |
| Autonomy and independence | Cooperatives control their own affairs |
| Education, training and information | Provide education to members and the public |
| Cooperation among cooperatives | Work together at local, national, international levels |
| Concern for community | Sustainable development of the community |
Types of Agricultural Cooperatives Relevant to Food Production:
| Type | Primary Function | Activities |
| Supply cooperative | Bulk purchase of food production inputs | Seeds, fertilizers, pesticides, feed, fuel |
| Credit cooperative | Provide loans for food production | Savings mobilization, loans, group guarantee |
| Marketing cooperative | Collective sale of food produce | Grading, storage, transport, negotiation |
| Processing cooperative | Value addition to food produce | Milling, drying, shelling, pressing, packaging |
| Multi-purpose cooperative | Combined functions | Any combination of above |
2.1.2 Concept of Food Production Development
Food production development refers to the process of increasing the quantity, quality, and reliability of food produced by small scale farmers, contributing to food security, rural incomes, and national self-sufficiency (FAO, 2020). Key indicators of food production development include:
| Indicator | Definition | Unit |
| Input use | Quantity of productivity-enhancing inputs | Fertilizer (kg/ha), improved seeds (kg/ha), pesticides (L/ha) |
| Yield | Output per unit area | kg/ha, tons/ha (maize, rice, cassava) |
| Farm income | Net profit from food production | ₦/hectare, ₦/farm |
| Output stability | Reduced year-to-year variation | Coefficient of variation |
| Food security | Household food availability | Months of food self-sufficiency |
Food Production Challenges in Nigeria:
| Challenge | Current Status |
| Low fertilizer use | <20 kg/ha (vs. global avg 135 kg/ha; recommended 200-300 kg/ha) |
| Low improved seed adoption | <30% of farmers use improved seeds |
| Low yields | Maize: 1.5-2.0 tons/ha (potential 5-6 tons/ha); Rice: 2.0-2.5 tons/ha (potential 6-8 tons/ha) |
| High post-harvest losses | 20-50% for perishable crops |
| Low credit access | <20% of smallholders access formal credit |
| Poor extension | Farmer:extension agent ratio >3,000:1 (recommended 400:1) |
2.1.3 Channels Through Which Cooperatives Influence Food Production
Cooperatives influence food production through five interconnected channels (Zeuli and Cropp, 2020; FAO, 2020).
Channel 1: Input Supply Channel
| Cooperative Action | Mechanism | Influence on Food Production |
| Bulk purchase of seeds, fertilizers, pesticides | Economies of scale → lower price per unit | Members afford more inputs → higher yields |
| Quality assurance | Cooperative verifies supplier quality; avoids adulterated inputs | Better crop response → higher yields |
| Timely delivery | Cooperative arranges transport before planting season | Planting on time (critical for yield) |
| Credit for inputs | Cooperative provides loans or advances inputs | Farmers without cash can still access inputs |
Channel 2: Credit Channel
| Cooperative Action | Mechanism | Influence on Food Production |
| Savings mobilization | Members deposit savings; cooperative accumulates capital | Internal lending for food production |
| Group guarantee | Cooperative guarantees members’ loans to bank | Access to formal credit without individual collateral |
| Lower interest rates | Cooperative not profit-maximizing | Affordable credit (20-30% vs. informal 50-100%) |
| Flexible repayment | Repayment after harvest (aligned with cash flow) | Reduced default risk, more willing to borrow |
Channel 3: Technology and Extension Channel
| Cooperative Action | Mechanism | Influence on Food Production |
| Group extension | Invite extension agent to train all members (economies of scale) | Shared learning → improved practices → higher yields |
| Demonstration plots | Cooperative operates demo plot using improved practices | Members observe before adopting → reduced risk |
| Shared machinery | Tractor, planter, sprayer, thresher shared among members | Access to mechanization → labour saved, timeliness improved |
| Input trials | Cooperative tests new seed varieties, fertilizer rates | Identification of best practices for local conditions |
Channel 4: Marketing Channel
| Cooperative Action | Mechanism | Influence on Food Production |
| Collective bargaining | Cooperative negotiates price for all members’ produce (large volume) | Higher price per kg → higher income → investment in future production |
| Bulk transport | Cooperative hires truck to transport members’ produce | Lower transport cost per kg → higher net price |
| Grading and sorting | Cooperative grades produce (size, quality) before sale | Access to premium markets (higher prices) |
| Market information | Cooperative provides price information from different markets | Farmers avoid selling at lowest price |
Channel 5: Processing and Value Addition Channel
| Cooperative Action | Mechanism | Influence on Food Production |
| Shared processing machinery | Cooperative owns mill, dryer, sheller, press | Value addition (e.g., paddy ₦200 → milled rice ₦450) |
| Bulk storage | Cooperative owns warehouse, silo, cold room | Sell when prices higher (avoid harvest glut) |
| Quality improvement | Cleaning, sorting, drying, packaging | Access to premium markets (export, certified) |
| Branding | Cooperative brand (e.g., “Co-op Rice”) | Price premium, customer loyalty |
2.1.4 Measurement of Cooperative Influence on Food Production
| Indicator | Cooperative Member | Non-Member | Expected Difference |
| Fertilizer use (kg/ha) | Higher (e.g., 100 kg/ha) | Lower (e.g., 50 kg/ha) | +50 kg/ha |
| Improved seed adoption (%) | Higher (e.g., 70%) | Lower (e.g., 30%) | +40 percentage points |
| Maize yield (kg/ha) | Higher (e.g., 3,500 kg) | Lower (e.g., 2,000 kg) | +1,500 kg/ha |
| Rice yield (kg/ha) | Higher (e.g., 3,800 kg) | Lower (e.g., 2,200 kg) | +1,600 kg/ha |
| Cassava yield (kg/ha) | Higher (e.g., 18,000 kg) | Lower (e.g., 12,000 kg) | +6,000 kg/ha |
| Net farm income (₦/ha) | Higher (e.g., ₦400,000) | Lower (e.g., ₦200,000) | +₦200,000/ha |
2.1.5 Constraints Limiting Cooperative Influence on Food Production
| Constraint | Description | Impact on Food Production |
| Weak governance | Elite capture, poor accountability, no democratic elections | Resources diverted from food production to elite benefit |
| Inadequate capital | Low savings, poor loan recovery, no reserves | Cannot finance input purchases, machinery, processing |
| Poor management | No training in accounting, record keeping, business planning | Poor decisions, financial mismanagement |
| Low member participation | Members passive, do not attend meetings, do not pay dues | Cooperative lacks resources, legitimacy, scale |
| Infrastructure deficits | No storage, processing, transport, roads | Cannot add value, transport, store produce (post-harvest losses) |
| Political interference | Politicians appoint leaders, direct funds | Cooperative serves political interests, not food production |
2.1.6 Conceptual Framework Diagram (Described in Text)
The conceptual framework can be visualized as follows:
Cooperative Type → Channels → Food Production Outcomes
Independent Variables (Cooperative Type):
- Supply cooperative
- Credit cooperative
- Marketing cooperative
- Processing cooperative
- Multi-purpose cooperative
↓ Channels (Mediating Variables):
- Input supply channel (bulk purchase, quality, timely delivery)
- Credit channel (savings, loans, group guarantee)
- Technology/extension channel (training, demo plots, machinery)
- Marketing channel (collective bargaining, transport, grading)
- Processing/value addition channel (milling, storage, branding)
↓ Dependent Variables (Food Production Outcomes):
- Input use (fertilizer kg/ha, improved seeds %)
- Yield (kg/ha for maize, rice, cassava)
- Farm income (₦/ha net profit)
- Food security (household food availability)
Moderating Variables (Constraints):
- Governance (elections, accountability, transparency)
- Capital (savings, reserves, credit access)
- Management (trained manager, record keeping)
- Member participation (attendance, dues, voting)
- Infrastructure (storage, processing, roads)
The framework posits that cooperative type determines which channels are active. These channels affect food production outcomes. However, the strength of the influence is moderated by constraints: weak governance, inadequate capital, poor management, low member participation, and infrastructure deficits limit cooperative effectiveness.
2.2 Theoretical Framework
This study is anchored on three supporting theories that provide a comprehensive theoretical foundation for understanding the influence of agricultural cooperatives on food production development. These theories are Cooperative Theory, Economies of Scale Theory, and Collective Action Theory.
2.2.1 Cooperative Theory
Cooperative Theory articulates the principles and practices of cooperative organization (International Cooperative Alliance, 2020). The theory explains why cooperatives exist, how they differ from investor-owned firms, and how they should be governed (Birchall, 2019).
Core Principles of Cooperatives (ICA, 2020):
| Principle | Explanation | Influence on Food Production |
| Voluntary and open membership | No discrimination; membership is a choice | Broad membership (women, youth, poor) → wider reach |
| Democratic member control | One member, one vote (not proportional to capital) | Decisions reflect smallholder needs (food production, not profit maximization) |
| Member economic participation | Members contribute capital; surplus distributed based on patronage | Members invest in cooperative; receive benefits from input purchase, marketing, processing |
| Autonomy and independence | Cooperatives control their own affairs | Can prioritize food production over external interests |
| Education, training and information | Provide education to members, leaders, employees | Builds human capital → improved food production practices |
| Cooperation among cooperatives | Work together through local, national, international structures | Shared learning, bulk purchasing across regions |
| Concern for community | Sustainable development of the community | Community infrastructure (roads, storage) benefits all farmers |
How Cooperatives Differ from Investor-Owned Firms:
| Feature | Cooperative | Investor-Owned Firm |
| Ownership | Members (users) | Shareholders (investors) |
| Control | One member, one vote | One share, one vote |
| Surplus distribution | Based on patronage (use) | Based on capital (shares) |
| Goal | Service to members | Profit maximization |
| Tax treatment | May be taxed differently | Standard corporate tax |
Application to Food Production
Cooperative Theory explains several features of cooperatives relevant to food production (Birchall, 2019):
- Democratic control: Members elect leaders who make decisions on cooperative investments (what inputs to stock, what machinery to purchase, what processing facilities to build). Democratic control ensures that investments reflect food production needs, not profit maximization.
- Member economic participation: Members contribute capital (membership fees, share purchases, savings). This capital is used to purchase inputs in bulk (supply cooperative), provide loans (credit cooperative), purchase machinery (service cooperative), or build processing facilities (processing cooperative). These investments directly improve members’ food production capacity.
- Education and training: Cooperatives provide training to members on improved agricultural practices, financial management, and cooperative governance. This builds human capital, improving food production.
- Concern for community: Cooperatives may invest in community infrastructure (roads, storage, water, electricity) that benefits all farmers, improving food production in the wider community.
Limitations: Cooperative principles are aspirational; many cooperatives do not fully implement them (weak democracy, elite capture, poor education). Application in Nigeria requires attention to these gaps (Okonkwo, 2020).
2.2.2 Economies of Scale Theory
Economies of Scale Theory, associated with Alfred Marshall (1920) and subsequent economists, explains that as the scale of production increases, the average cost per unit decreases (Marshall, 1920).
Sources of Economies of Scale:
| Source | Explanation |
| Indivisibilities | Some inputs cannot be scaled down (e.g., a rice mill cannot process 1 kg efficiently; it needs large volume) |
| Specialization | Larger scale enables division of labour, specialization (more efficient) |
| Bulk purchasing | Buying larger quantities reduces unit cost (transport, negotiation, transaction costs) |
| Marketing | Marketing costs (advertising, transport, negotiation) spread over more units |
| Financial | Larger firms access credit at lower interest rates |
Average Cost Curve:
As quantity increases, average cost declines until Minimum Efficient Scale (MES) is reached. Beyond MES, average cost may remain constant (constant returns) or eventually increase (diseconomies of scale).
Application to Agricultural Cooperatives and Food Production
Economies of Scale Theory explains how cooperatives improve food production (Zeuli and Cropp, 2020):
| Cooperative Activity | Source of Scale Economy | Influence on Food Production |
| Bulk input purchase | Bulk purchasing reduces cost per bag of fertilizer, kg of seed | Members pay less per unit → afford more inputs → higher yields → more food |
| Shared machinery | Tractor, combine, sprayer, thresher are indivisible (cannot be scaled down to small plot) | Members access machinery they could not afford individually → labour saved, timeliness improved → higher yields |
| Shared processing | Mill, dryer, sheller have high fixed cost, low marginal cost; efficient only at large volume | Members process produce (value addition) that would be impossible individually → higher income → more food |
| Collective marketing | Transport cost per bag decreases with volume; negotiation cost per bag decreases | Members receive higher net price → higher income → investment in future food production |
| Shared storage | Warehouse/silo cost per bag decreases with volume | Members store produce, sell when prices higher (not forced to sell at harvest) → higher income |
Minimum Efficient Scale for Cooperative Activities:
| Activity | MES (approximate) | Individual Farmer | Cooperative (100 members) |
| Fertilizer purchase | 10 tons | 50 kg (0.05 tons) → high cost | 10 tons (100 kg each) → lower cost |
| Tractor ploughing | 50 hectares | <2 hectares → inefficient | 100 ha (1 ha each) → efficient |
| Rice mill | 500 tons paddy/year | 1-2 tons → inefficient | 200 tons (2 tons each) → approaching efficient |
Limitations: Economies of scale require coordination; if members do not cooperate (e.g., some buy inputs elsewhere, some sell outside cooperative), the cooperative cannot achieve scale. Also, transportation costs to central point may offset scale economies (Marshall, 1920).
2.2.3 Collective Action Theory
Collective Action Theory, developed by Elinor Ostrom (1990, 2019), explains how groups can overcome the “free rider problem” and successfully manage shared resources through communication, trust, reciprocity, monitoring, and sanctions (Ostrom, 2019).
The Free Rider Problem:
| Individual Action | Collective Outcome |
| Individual benefits from cooperative (higher prices, lower input costs) without contributing (not paying dues, not selling through cooperative) | Cooperative lacks resources (capital, volume), fails to achieve benefits, everyone loses |
Ostrom’s Design Principles for Successful Collective Action:
| Principle | Explanation | Application to Cooperatives |
| Clearly defined boundaries | Who is a member? Who is not? | Registered members only; free riders excluded |
| Congruence between rules and local conditions | Rules fit local context (crop type, season, market) | Input supply rules match planting season |
| Collective choice arrangements | Members participate in making and modifying rules | General meetings vote on rules |
| Monitoring | Monitors (members or accountable to members) check compliance | Elected audit committee; member peer monitoring |
| Graduated sanctions | Punishments start small, increase for repeat violations | Warning → fine → suspension |
| Conflict resolution mechanisms | Low-cost, local dispute resolution | Cooperative dispute resolution committee |
| Recognition of rights to organize | External authorities (government) recognize cooperative autonomy | Government registration; legal status |
Application to Agricultural Cooperatives and Food Production
Collective Action Theory explains why some cooperatives succeed in improving food production while others fail (Ostrom, 2019; Okonkwo, 2020):
| Successful Cooperative | Failed Cooperative | Influence on Food Production |
| Clear membership (registered, dues-paying) | Unclear membership (anyone can claim) | Resources, volume → effective input purchase, marketing |
| Members participate in rule-making (voting) | Leaders impose rules without consultation | Rules fit local food production needs |
| Members monitor each other (social pressure, audit committee) | No monitoring (leaders unaccountable) | Reduced free riding → cooperative effective |
| Sanctions for free riders (suspension, fines) | No sanctions (free riders continue) | Members contribute → volume → scale economies |
| Government recognizes cooperative (registration) | Government ignores or interferes | Legal protection, access to government programmes |
Overcoming Free Riding in Cooperatives:
| Mechanism | Description | Influence on Food Production |
| Reciprocal monitoring | Members watch each other; social pressure to contribute | High member participation → volume → scale economies |
| Graduated sanctions | First: warning; second: fine; third: suspension | Free riders deterred → cooperative effective |
| Trust building | Repeated interaction, transparency, honesty | Members willing to contribute |
| Communication | Regular meetings, open discussion of problems | Issues resolved before escalate |
| Shared identity | Community ties, common values (religion, ethnicity, village) | High trust, low free riding |
Limitations: Collective action is easier in small groups (village-level cooperatives) than large groups (district-level). As group size increases, monitoring becomes harder, free riding easier (Ostrom, 2019). This suggests that primary cooperatives (village level) may be more effective for food production than large unions.
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 |
| Cooperative Theory | Principles and governance | Explains democratic control, member economic participation, education, concern for community |
| Economies of Scale Theory | Cost reduction through volume | Explains how bulk purchasing, shared machinery, collective marketing, shared processing reduce costs and increase incomes |
| Collective Action Theory | Overcoming free rider problem | Explains why some cooperatives succeed (monitoring, sanctions, trust) while others fail |
Together, these theories support the study’s examination of the influence of agricultural cooperatives on the development of food production, recognizing that: (1) cooperative principles (democratic control, education, member participation) enable cooperatives to serve members effectively (Cooperative Theory); (2) economies of scale reduce costs and increase prices, directly influencing food production and income (Economies of Scale); and (3) successful collective action requires monitoring, sanctions, and trust to overcome free riding (Collective Action Theory).
2.3 Review of Related Empirical Studies
This section reviews empirical studies relevant to the influence of agricultural cooperatives on food production development, organized by geographic focus and key findings.
2.3.1 Studies on Cooperative Influence on Food Production in Nigeria
Adebayo and Ogunyemi (2020) conducted a study on the influence of cocoa cooperatives on farmer productivity in Oyo State. Using a survey of 200 cocoa farmers (100 cooperative members, 100 non-members), they compared input use, yields, and income. Cooperative members had: higher fertilizer use (120 kg/ha vs. 60 kg/ha), higher yields (450 kg/ha vs. 300 kg/ha), higher prices (₦800/kg vs. ₦600/kg), and higher net income (₦280,000/ha vs. ₦120,000/ha). Members also had better access to credit (55% vs. 15%) and extension (70% vs. 25%). The study concluded that cocoa cooperatives significantly influence food production (cocoa as cash crop) but did not focus on food crops.
Eze and Nweze (2019) studied the influence of multi-purpose cooperatives on food crop production in Enugu State. Using a survey of 300 smallholder farmers (150 members, 150 non-members), they compared adoption of improved practices and yields. Members were more likely to use: improved maize seeds (70% vs. 35%), fertilizer (80% vs. 45%), and pesticides (60% vs. 25%). Member yields: maize (3.2 tons/ha vs. 1.8 tons/ha), cassava (18 tons/ha vs. 12 tons/ha), rice (3.5 tons/ha vs. 2.0 tons/ha). Members had higher net income (mean ₦350,000/farm vs. ₦150,000/farm). The study concluded that multi-purpose cooperatives significantly influence food production.
Okafor and Nwosu (2020) studied the influence of credit cooperatives on food production in Edo State. Using a survey of 400 farmers (200 credit cooperative members, 200 non-members), they compared credit access, input use, and yields. Members were 3.5 times more likely to access formal credit (65% vs. 18%). Member loans (mean ₦80,000) were used for: fertilizer (45%), seeds (20%), hired labour (15%), equipment (10%), and other (10%). Members had higher fertilizer use (110 kg/ha vs. 55 kg/ha) and higher yields: maize (3.8 tons/ha vs. 2.1 tons/ha), rice (4.0 tons/ha vs. 2.3 tons/ha). The study concluded that credit cooperatives effectively improve food production through increased input use.
Okafor and Ugwu (2021) studied the influence of rice processing cooperatives on food production (value addition) in Anambra State. Using a survey of 200 rice farmers (100 processing cooperative members, 100 non-members), they compared prices received. Members processed paddy into milled rice through cooperative-owned mills, earning ₦450/kg vs. non-members selling paddy at ₦200/kg (value addition 125%). Members had higher net income (mean ₦400,000/ha vs. ₦150,000/ha). However, only 35% of rice farmers in the area were cooperative members, with constraints including: mill distance (10 km for non-members), cooperative capital (limited mill capacity), and management issues.
Nwosu and Okafor (2021) studied the influence of marketing cooperatives on food crop prices in Cross River State. Using a survey of 300 farmers (150 marketing cooperative members, 150 non-members), they compared prices received for cocoa and cassava. Members received higher prices for cocoa (mean ₦850/kg vs. ₦620/kg) and cassava (mean ₦45/kg vs. ₦30/kg) due to collective bargaining, quality grading, and bulk transport. Members also had lower transaction costs (no multiple middlemen). The study concluded that marketing cooperatives influence food production by increasing prices, which incentivizes production.
2.3.2 Studies on Cooperative Influence on Food Production in Other African Countries
| Study | Country | Cooperative Type | Findings |
| Abebayehu et al. (2018) | Ethiopia | Coffee cooperatives | Member yields 30% higher; prices 25% higher; income 60% higher |
| Fischer and Qaim (2012) | Kenya | Horticulture cooperatives | Member export access (premium markets); higher quality; higher income |
| Bernard et al. (2019) | Ethiopia | Cereal cooperatives | Member fertilizer use +40%; yields +25%; but cooperatives reach only 30% of farmers |
| Verhofstadt and Maertens (2014) | Rwanda | Coffee cooperatives | Member income +50%; poverty reduction; but women underrepresented |
2.3.3 Studies on Constraints to Cooperative Effectiveness in Nigeria
Okonkwo (2020) studied constraints to cooperative effectiveness in Kano State. Using a survey of 100 cooperatives and 500 members, he identified constraints: weak governance (60% of cooperatives had not held elections in >3 years), low member participation (55% attendance at annual general meetings), inadequate capital (70% had low savings), poor management (65% had no trained manager), infrastructure deficits (80% had no storage; 90% had no processing equipment). Only 25% of cooperatives provided significant benefits to members (higher yields, income). The study recommended capacity building: governance training, financial management training, and infrastructure support.
2.3.4 Summary of Empirical Findings
The empirical literature reveals consistent findings: (1) cooperative membership is associated with higher input use (fertilizer +40-100%, improved seeds +30-80%), yields (+30-100%), and income (+40-100%); (2) cooperatives improve access to credit (3-5 times more likely); (3) processing cooperatives significantly increase value addition (100-500% price increase); (4) marketing cooperatives increase prices through collective bargaining (15-40% higher); (5) supply cooperatives reduce input costs (10-30% lower); (6) however, many cooperatives in Nigeria are inactive or poorly functioning; (7) constraints include weak governance, low capital, poor management, low member participation, infrastructure deficits; (8) most Nigeria studies are limited to single states; (9) few studies compare multiple cooperative types within same sample. This study addresses these gaps.
2.4 Summary of Literature Review
The table below summarizes key theoretical and empirical literature relevant to the influence of agricultural cooperatives on food production development, highlighting strengths, weaknesses, limitations, and gaps.
| Author(s) and Year | Focus of Study | Strength | Weakness | Limitation | Gap Identified |
| ICA (2020) | Cooperative Theory | Authoritative principles | Aspirational; many cooperatives do not implement | Not empirical | Application to Nigeria needed |
| Marshall (1920) | Economies of Scale Theory | Explains cost reduction through volume | Assumes coordination; ignores transport costs | General theory | Application to cooperatives needed |
| Ostrom (1990, 2019) | Collective Action Theory | Explains successful cooperation | Small group focus; larger groups harder | Not cooperative-specific | Application to cooperatives needed |
| Adebayo and Ogunyemi (2020) | Cocoa cooperatives (Oyo State) | Members vs. non-members; quantifies impacts | Single state; cash crop (cocoa), not food crop | Geographic and crop gaps | Multi-state, food crop study needed |
| Eze and Nweze (2019) | Multi-purpose cooperatives (Enugu State) | Compares adoption and yields for food crops | Single state | Geographic gap | Multi-state study needed |
| Okafor and Nwosu (2020) | Credit cooperatives (Edo State) | Credit access, input use, yields | Single state | Geographic gap | Multi-state study needed |
| Okafor and Ugwu (2021) | Processing cooperatives (Anambra State) | Value addition (rice milling) | Single state | Geographic gap | Multi-state study needed |
| Nwosu and Okafor (2021) | Marketing cooperatives (Cross River State) | Prices, bargaining power | Single state | Geographic gap | Multi-state study needed |
| Okonkwo (2020) | Cooperative constraints (Kano State) | Identifies constraints; surveys 100 cooperatives | Single state | Geographic gap | Multi-state study needed |
| Abebayehu et al. (2018) | Coffee cooperatives (Ethiopia) | Rigorous impact evaluation (Heckman selection) | Ethiopia, not Nigeria | Geographic gap | Nigeria replication needed |
| Fischer and Qaim (2012) | Horticulture cooperatives (Kenya) | Export markets, premium prices | Kenya, not Nigeria | Geographic gap | Nigeria study needed |
| Bernard et al. (2019) | Cereal cooperatives (Ethiopia) | Fertilizer, yields | Ethiopia, not Nigeria | Geographic gap | Nigeria study needed |
| Verhofstadt and Maertens (2014) | Coffee cooperatives (Rwanda) | Income, poverty, gender | Rwanda, not Nigeria | Geographic gap | Nigeria study needed |
| FAO (2020) | Agricultural cooperatives (global) | Comprehensive overview | Not Nigeria-specific | Not primary research | Nigeria primary research needed |
| World Bank (2021) | Nigeria agricultural sector review | Nigeria overview | Not primary research; descriptive | No primary data | Primary research needed |
| Birchall (2019) | Cooperatives and poverty reduction | Global evidence review | Not Nigeria-specific | Not primary research | Nigeria primary research needed |
| Zeuli and Cropp (2020) | Cooperatives (US textbook) | Comprehensive cooperative principles | US context | Not Nigeria-specific | Nigeria application needed |
| FMARD (2018) | National cooperative policy | Policy document | Not research; not evaluated | No implementation assessment | Policy evaluation needed |
| NBS (2022) | Agricultural survey report | Official data | Not research; descriptive | No cooperative variable | Cooperative analysis needed |
| CBN (2022) | Statistical bulletin | Official data | Not research; descriptive | No cooperative variable | Cooperative analysis needed |
| Okafor (2018) | Supply cooperatives (Enugu) | Input costs | Single state | Geographic gap | Multi-state needed |
| Eze (2019) | Service cooperatives (tractor hire) (Ebonyi) | Mechanization access | Single state | Geographic gap | Multi-state needed |
| Nwosu (2020) | Credit cooperatives and women (Anambra) | Gender analysis | Single state | Geographic gap | Multi-state needed |
| Adeleke (2019) | Multi-purpose cooperatives (Ondo) | Combined functions | Single state | Geographic gap | Multi-state needed |
| Ogunyemi (2021) | Marketing cooperatives (Nasarawa) | Cereal marketing | Single state | Geographic gap | Multi-state needed |
| Okonkwo and Nwosu (2019) | Cooperative governance (Cross River) | Elections, accountability | Single state | Geographic gap | Multi-state needed |
| Ezeani (2020) | Cooperative capital (Imo) | Savings mobilization | Single state | Geographic gap | Multi-state needed |
| Nwachukwu (2019) | Cooperative education (Abia) | Member training | Single state | Geographic gap | Multi-state needed |
| Okafor and Ugwu (2019) | Cooperative infrastructure (Benue) | Storage, processing | Single state | Geographic gap | Multi-state needed |
| Adebayo (2019) | Cooperative and food security (Oyo) | Household food security | Single state | Geographic gap | Multi-state needed |
