Agricultural Economics and Marketing Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Agribusiness Managers, Agricultural Extension Officers and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-AA-067

Before you join: Participants should have practical exposure to agriculture, agribusiness, rural development, food markets or agricultural finance.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Agricultural enterprises and development programmes make decisions under biological production cycles, volatile prices, seasonal cash needs and fragmented market channels. A yield increase does not automatically produce a better commercial result: input choices, harvest timing, quality, transport losses, buyer terms and policy conditions all affect farm income and investment viability. Managers need to quantify these trade-offs, identify viable market segments and convert market evidence into practical production and marketing decisions.

This course develops the economic and commercial analysis skills required to assess agricultural enterprises, commodity markets and value chains. Participants apply supply and demand analysis, elasticity, enterprise budgets, gross margins, partial budgeting, break-even analysis and seasonal price analysis. They examine market research, buyer segmentation, marketing mix decisions, post-harvest economics, contract terms, agricultural finance, risk management, trade conditions and investment appraisal. The course connects farm-level decisions with aggregation, processing, logistics, retail and export market requirements.

Teaching combines focused instructor briefings with agricultural commodity cases, spreadsheet-based calculations, group analysis and structured decision simulations. Cases may involve staple crops, horticulture, livestock, input distribution, warehouse storage or agricultural development programmes, depending on the cohort. Participants leave with a reusable agricultural enterprise and marketing planning pack containing budget models, market analysis tools, risk assessments and an individual application plan. The five-day course is available in classrooms in more than 50 cities or live online, runs from 08:30 to 16:30 each day, and includes a certificate of completion.

The course is suited to professionals who already work with farms, agribusinesses, agricultural finance, value-chain programmes or food markets and need stronger commercial analysis for decisions, proposals, investments or programme design.

What you will be able to do

  • Analyse agricultural markets using supply, demand, elasticity and market-structure concepts
  • Prepare enterprise budgets, gross margins and partial budgets for farm decisions
  • Calculate break-even yields, prices, marketing margins and seasonal price patterns
  • Design market research briefs, buyer segments and marketing mix decisions
  • Map agricultural value chains, channel economics and buyer requirements
  • Assess post-harvest, contract, logistics and quality factors affecting market access
  • Evaluate agricultural risks, cash requirements and investment proposals using financial methods
  • Produce an integrated enterprise and marketing action plan with measurable indicators

Benefits of attending

For you

  • Produce defensible gross margin and partial budget analyses for farm enterprises
  • Interpret commodity price movements and seasonal marketing opportunities with greater confidence
  • Assess buyer channels using margins, payment terms, quality requirements and logistics costs
  • Prepare stronger agricultural business cases, funding proposals and investment recommendations
  • Apply a practical enterprise and marketing plan to a current work assignment

For your organisation

  • Improves commercial discipline in agricultural programme and agribusiness decisions
  • Reduces weak investment choices through structured budgeting and sensitivity analysis
  • Strengthens market-led production planning against verified buyer demand
  • Identifies value-chain losses, bottlenecks and contract risks affecting profitability
  • Creates consistent methods for assessing farm enterprises and market interventions

Course modules

10 modules over 5 days

Participants can explain how core economic concepts shape agricultural production and market decisions.

  • Scarcity, choice and opportunity cost in agricultural resource allocation
  • Supply, demand and market equilibrium for staple and cash crops
  • Elasticity estimates interpreted for input demand and consumer food purchases
  • Production possibility frontiers showing land, labour and capital trade-offs
  • Market structures from local assembly markets to concentrated processors
  • Consumer and producer surplus used to assess market interventions

Participants can assess farm enterprise profitability and compare production alternatives using budget methods.

  • Cobb-Douglas production functions and diminishing marginal returns to inputs
  • Enterprise budgets separating variable, fixed and imputed production costs
  • Gross margin analysis for crop, livestock and mixed-farm enterprises
  • Partial budgeting compares proposed changes in farm management practices
  • Break-even yield and price calculations for seasonal production decisions
  • Resource allocation using limiting-factor analysis and contribution per scarce resource

Participants can analyse commodity prices, marketing margins and market information for commercial decisions.

  • Seasonality indices constructed from monthly market price series
  • Marketing margins decomposed across assembly, wholesale, retail and transport functions
  • Farm-gate, wholesale and retail prices compared using spread analysis
  • Price transmission assessed between markets using correlation and lag patterns
  • Market information systems evaluated for timeliness, coverage and verification
  • Hedging, forward contracts and warehouse receipts matched to commodity risks

Participants can develop a market research approach and marketing strategy for an agricultural product.

  • Marketing research brief defines decision, users, scope and evidence needed
  • Secondary data screened for source reliability, definitions and date coverage
  • Sampling frames and questionnaires designed for farmer, trader and consumer studies
  • STP segments buyers by needs, behaviour and purchasing constraints
  • Value propositions connect product attributes, service levels and buyer benefits
  • Four Ps decisions align product, price, place and promotion

Participants can map value chains and select market channels using commercial and operational criteria.

  • Value chain mapping identifies actors, flows, services and governance points
  • Functional analysis distinguishes production, aggregation, processing, logistics and retail
  • Post-harvest loss measurement locates physical, quality and value losses
  • Grades, standards and traceability requirements shape buyer access
  • Channel selection compares volumes, margins, payment terms and control
  • Negotiation preparation sets reservation price, terms and evidence

Participants can assess operational factors that affect product quality, costs and buyer compliance.

  • Harvest maturity indices matched to product quality and market windows
  • Cold-chain breakpoints assessed from packhouse through transport and retail
  • Inventory turnover and reorder points manage perishable stock exposure
  • Incoterms 2020 allocates delivery, cost and risk in export sales
  • Contract specifications cover grades, quantities, delivery, payment and rejection
  • Food safety controls linked to buyer requirements and recordkeeping

Participants can identify agricultural risks and prepare financial responses to adverse scenarios.

  • Probability-impact matrices prioritise production, market, financial and operational risks
  • Scenario analysis tests profitability under yield, price and cost shocks
  • Diversification choices balance enterprise correlation, resources and market access
  • Weather index insurance assessed against basis risk and exclusions
  • Cash flow timing identifies liquidity gaps before planting and harvest
  • Contingency actions assign triggers, responsibilities and financing sources

Participants can assess how policy and trade conditions affect agricultural market opportunities.

  • Price supports, subsidies and tariffs analysed for producer incentives
  • Exchange-rate movements traced through imported inputs and export receipts
  • Sanitary and phytosanitary measures assessed for market-entry compliance
  • Regional trade agreements compared for rules of origin and tariffs
  • Public procurement requirements translated into supplier qualification actions
  • Policy stakeholder mapping identifies influence, interests and consultation routes

Participants can evaluate agricultural cash requirements and investment proposals using financial criteria.

  • Farm cash budgets schedule receipts, input payments, debt service and wages
  • Working capital requirements estimated across planting, growing and marketing cycles
  • Net present value evaluates irrigation, storage and processing investments
  • Internal rate of return tested against financing costs and risk
  • Sensitivity analysis isolates assumptions driving projected investment viability
  • Loan applications assemble forecasts, collateral details and repayment capacity

Participants can assemble an actionable enterprise and marketing plan for a defined opportunity.

  • Market opportunity screening ranks segments by demand, feasibility and margins
  • Integrated enterprise plan links production calendars, sales channels and finance
  • Key performance indicators track yield, losses, margins, sales and collections
  • Monthly review routines compare actual results against budget and plan
  • Corrective actions address variance causes, ownership and completion dates
  • Individual application plans specify decisions, data, stakeholders and milestones

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Agricultural enterprise budget template
  2. Gross margin and partial budgeting model
  3. Commodity price and marketing margin analysis worksheet
  4. Agricultural value chain mapping template
  5. Seasonal cash flow and risk register
  6. Integrated enterprise and marketing action plan

Who should attend

  • Agribusiness Managers — need commercial evidence for production, sales and investment decisions
  • Agricultural Extension Officers — advise producers on enterprise profitability and market opportunities
  • Value Chain Programme Managers — design interventions based on incentives, margins and buyer demand
  • Agricultural Finance Officers — assess farm cash flow, repayment capacity and investment viability
  • Cooperative and Farmer Organisation Leaders — improve aggregation, marketing and member services
  • Food Security and Livelihoods Specialists — connect production support with viable market channels

Skills and tools covered

Agricultural market analysisEnterprise budgetingValue chain mappingMarketing strategyAgricultural risk assessmentInvestment appraisal

Tools and standards

Gross margin analysis, Partial budgeting, Value chain analysis, STP marketing framework

How the course runs

Training methodology

The course uses short instructor briefings to introduce economic concepts and analytical methods, followed by commodity cases, guided calculations and group decision work. Participants interpret enterprise data, market prices, buyer requirements and investment assumptions using realistic agricultural scenarios. Simulations cover marketing choices, price shocks, contract terms and seasonal cash constraints. Facilitated discussion compares assumptions and decisions across different commodities and market channels. Each participant develops an application plan for a current agricultural enterprise, programme or market challenge.

Requirements and prerequisites

Participants should have practical exposure to agriculture, agribusiness, rural development, food markets or agricultural finance. They should be comfortable reading basic tables, percentages, costs, revenues and simple spreadsheet outputs. Prior experience with farm budgeting, marketing research or investment appraisal is helpful but not required. The course introduces the calculations and frameworks used, then applies them to realistic agricultural decisions. Participants do not need an economics degree, advanced statistics, prior trading experience or specialist software skills.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants need practical familiarity with agriculture, agribusiness, rural development or food markets, plus comfort with basic numerical information. An economics degree, advanced statistics and specialist software skills are not required.

Participants should bring a laptop if possible, along with non-confidential data or examples from an agricultural enterprise, programme or commodity market. Course materials and calculation templates are provided.

The course suits agribusiness managers, extension officers, cooperative leaders, agricultural finance staff and value-chain programme professionals. It is designed for people who influence production, marketing, investment or market-access decisions.

This course links economic analysis directly to agricultural production cycles, commodity markets, post-harvest losses, buyer requirements and seasonal finance. It addresses both farm enterprise decisions and the wider value chain from input supply to final markets.

Participants can use the budget, price analysis, value-chain mapping and risk tools to assess a current commodity, enterprise or programme decision. The final application plan identifies data needs, stakeholders, actions and review measures.

The 32.5 contact hours are organised around ten linked modules, supported by short integration blocks across the week. Time is divided between instructor input, case analysis, calculations, group work, decision simulations and application planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.