Agribusiness Management · Agri-sector specialisation · also ABM 542, ABM 608 Agri-Entrepreneurship & Corporate Governance, Agricultural Project Analysis (AICE-JRF Unit 8), Agribusiness Entrepreneurship (IIMA), Agripreneurship (MANAGE)
Taking an agricultural project from idea to appraisal to delivery, and building an agri-enterprise: feasibility, NPV and IRR, PERT/CPM, business plans and incubation.
In the exams: agribusiness management PhD entrance and fellowship examinations, project management and entrepreneurship (heavy); agricultural economics PhD entrance and fellowship examinations, project appraisal (heavy); agricultural master's entrance examinations, time value of money and entrepreneurship (heavy); agricultural development bank officer recruitment, project appraisal (present)
A project is a set of activities that uses scarce resources now in the expectation of benefits later, with a beginning, an end, a location and a budget that can be separated from the rest of the economy for analysis. In agriculture that can be a tube-well, a cold store, an orchard, a dairy unit, a milk-chilling network, an irrigation canal or a processing plant. Project management is the discipline of deciding whether such an investment is worth making, and then delivering it on time and within cost. Entrepreneurship is the human side of the same story: someone has to see the opportunity, carry the uncertainty and build the enterprise that makes the project pay.
This manual follows the order in which a project is actually handled: the project cycle; market and technical feasibility; the time value of money; measures of project worth, undiscounted and discounted; financial, economic and social cost-benefit analysis with shadow prices in the tradition of J. Price Gittinger's Economic Analysis of Agricultural Projects; project risk; network scheduling with CPM and PERT; implementation, cost overruns and monitoring; the detailed project report a bank reads before it lends; and then the entrepreneur: theories, competencies, setting up a micro, small or medium enterprise, business plans, incubation and intellectual property, and women's, self-help group and family enterprises.
The subject is examined worldwide in two ways. Postgraduate entrance, research-fellowship and management admission examinations in many countries ask for the arithmetic of compounding, discounting, NPV, IRR, payback and PERT, and for the names behind entrepreneurship theories. Development banks, commercial banks and ministries everywhere examine it in practice: every loan file and every donor appraisal document contains a cash-flow table, a set of worth measures and a sensitivity test. The worked examples here are computed exactly and every step is shown, because a wrong discount factor is the commonest way to lose marks and money.
Where practice differs by country (enterprise size definitions, subsidy rules, bank margin norms, plant-variety protection terms), the manual says so and gives the principle, not a number that may be out of date where you work.
Gittinger defines an agricultural project as an investment activity in which financial resources are spent to create capital assets that produce benefits over an extended period. The unit of analysis is the smallest separable piece that can be planned, financed and managed on its own. Projects differ from programmes, which are bundles of projects or continuing activities under one policy, and from routine operations, which have no defined end. Agricultural projects have features that make analysis harder than for a factory: long gestation (a mango orchard or an oil-palm plantation has several years of negative cash flow before the first harvest), seasonality, weather and price risk, many small beneficiaries whose behaviour decides success, and heavy public involvement through subsidised inputs, controlled prices and state-owned irrigation. The analyst therefore has to ask not only whether the project earns money for its owner, but whether farmers will adopt it and whether it adds to national income.
Warren Baum of the World Bank described the project cycle in 1970 and revised it in 1978. The stages are identification, preparation, appraisal, negotiation and approval (sometimes called presentation), implementation with supervision, and ex-post evaluation. Gittinger compresses these to identification, preparation and analysis, appraisal, implementation and evaluation. The cycle is a cycle because the lessons of evaluation feed the identification of new projects. Identification finds candidate ideas from sector studies, resource surveys, bottleneck analysis in a value chain, farmer demand, government plans or an entrepreneur's own observation. Preparation, often called formulation, turns an idea into a design with costs, benefits and an implementation plan; this is where pre-feasibility and feasibility studies sit. Appraisal is an independent review of that design by the financier: a bank, a development agency or a ministry. Implementation spends the money and builds the asset; supervision checks it against plan. Evaluation, done after completion, asks whether the objectives were met and why.
Gittinger lists six aspects that every agricultural project must be examined for. The technical aspect covers inputs, outputs, technology, location and physical feasibility. The institutional, organisational and managerial aspect asks whether the implementing body has the authority, staff and systems to deliver. The social aspect considers who gains and who loses, including gender, tenure and effects on the poor. The commercial aspect covers the markets for outputs and the supply of inputs. The financial aspect examines the project's cash position from the point of view of each participant: farm, firm and implementing agency. The economic aspect asks whether the project adds to national welfare when prices are corrected for distortions. A project can fail on any one of these even if it passes the others; a financially profitable dairy plant fails socially if it displaces landless milk vendors with no alternative.
The logical framework (logframe), developed for USAID at the end of the 1960s and now used by most development agencies, sets out a project in a four-by-four matrix. The rows are the hierarchy of objectives: goal (the broad development impact), purpose or outcome (the change the project itself is to cause), outputs (what the project delivers) and activities (what it does). The columns are a narrative summary, objectively verifiable indicators, means of verification, and assumptions. Reading upward, if activities are done and assumptions hold, outputs follow; if outputs are delivered and assumptions hold, the purpose is achieved. The logframe forces the planner to state indicators before the money is spent, which is what makes later monitoring and evaluation possible.
A pre-feasibility study screens an idea quickly using secondary data to decide whether a full study is worth paying for. A feasibility study (often called a techno-economic feasibility study) is the full examination on which the investment decision rests. It covers market, technical, financial and economic feasibility and, for larger projects, environmental and social impact. The output is a report with a single recommended design, its cost, its expected benefits and the measures of worth described in later chapters. The discipline of the feasibility study is that each later section rests on numbers produced by an earlier one: the market study sets the output and price, the technical study sets the capacity, cost and timing, and the financial study only adds them up.
The market study answers four questions: how much can be sold, at what price, to whom and through which channel. It begins with the present demand and supply for the product, the structure of the market (number of buyers and sellers, concentration, entry barriers), imports and exports, and government controls such as guaranteed minimum prices or export bans. It then forecasts demand over the life of the project. Standard forecasting methods include trend projection from a time series; the chain-ratio method, which multiplies a base population by successive ratios (households, share consuming, quantity per household); the consumption-level method using income and price elasticities; the end-use method for intermediate goods such as fertiliser or cattle feed, which derives demand from the planned output of user industries; regression on income, price and population; and expert opinion methods such as Delphi. For a farm-level project, the market question is often simpler but no less decisive: is there a buyer within economic transport distance who will pay a remunerative price at harvest time?
The technical study asks whether the project can be built and operated as planned, and at what cost. Its elements are the choice of technology and its proven performance in similar conditions; plant or farm capacity, balanced against the market study and the supply of raw material; location and site, weighing proximity to raw material, markets, water, power, labour and transport; the material inputs and utilities per unit of output; the layout of buildings and equipment; the schedule of construction and the time to reach rated capacity; and environmental aspects such as effluent from a dairy or pesticide residues. In agriculture the technical coefficients (yield per hectare, feed per litre of milk, water per hectare) are the heart of the study and must come from local trials or farm records, not from the best result ever achieved at a research station. Gittinger warns that projects are commonly over-optimistic on the rate at which farmers adopt a new practice and on the yields they achieve.
Capacity decisions balance economies of scale against the risk of idle capacity. A rice mill or cold store sized for a peak harvest will sit partly idle most of the year, so the technical study should state the expected capacity utilisation for each year of operation, not only the rated capacity. Agro-processing projects depend on a seasonal and weather-dependent raw material supply; the study should show the catchment area, the marketable surplus in it, competing buyers and the procurement arrangement (open market, contract farming, cooperative supply). Most projects take time to reach full output: a new dairy herd reaches peak production as heifers calve, an orchard takes years to bear. This build-up period drives the early-year cash flows and is a frequent source of later disappointment when it is assumed too short.
A sum in hand today is worth more than the same sum later because it can be invested to earn a return, because the future is uncertain, and because people prefer present consumption. The rate that converts between present and future values is the interest or discount rate. Moving a sum forward in time is compounding; moving it back is discounting. The two are exact inverses. Every discounted measure of project worth rests on these operations, and most exam errors come from using simple instead of compound interest, from the wrong number of periods, or from confusing a present-value factor with a future-value factor.
The future value of a present sum P at rate r for n periods is FV = P(1 + r)^n. A deposit of 10,000 currency units at 8 percent compounded annually for 5 years grows to 10,000 × 1.08^5 = 14,693; simple interest would give only 14,000, because it ignores interest on interest. When interest is compounded m times a year at a nominal annual rate i, the effective annual rate is (1 + i/m)^m − 1. A nominal 12 percent compounded quarterly gives (1.03)^4 − 1 = 12.55 percent; compounded continuously it gives e^0.12 − 1, about 12.75 percent. The rule of 72 approximates doubling time: 72 divided by the percentage rate. At 9 percent money doubles in about 8 years (exactly ln 2 / ln 1.09 = 8.04 years). When inflation is present, the real rate is (1 + nominal)/(1 + inflation) − 1; nominal 12 percent with 5 percent inflation is a real rate of 6.67 percent, not the 7 percent given by simple subtraction. Consistency matters: discount real cash flows at a real rate and nominal flows at a nominal rate.
The present value of a future sum F is PV = F/(1 + r)^n, and 1/(1 + r)^n is the discount factor. A sum of 50,000 currency units due in 3 years at 10 percent is worth 50,000 × 0.7513 = 37,566 today. An annuity is an equal sum received each period. Its present value is A × [1 − (1 + r)^−n]/r, the bracket being the present-worth-of-an-annuity factor (cumulative discount factor). An annuity of 20,000 currency units a year for 5 years at 12 percent is worth 20,000 × 3.6048 = 72,096. The future value of an annuity is A × [(1 + r)^n − 1]/r. A perpetuity, an equal sum forever, has present value A/r, which is how land is sometimes valued from its net rent. The capital recovery factor, r(1 + r)^n/[(1 + r)^n − 1], converts a present sum into the equal annual payment that repays it with interest: a loan of 500,000 currency units at 10 percent over 5 years needs an annual instalment of 500,000 × 0.2638 = 131,899. The sinking fund factor, r/[(1 + r)^n − 1], gives the annual deposit that accumulates to a target future sum. Gittinger's tables print all six factors, and bank officers still use them.
For a private investor the discount rate is the opportunity cost of capital: the return the money could earn in its next best use, often approximated by the weighted average cost of debt and equity. For a bank the benchmark is its lending rate. For economic analysis Gittinger uses the opportunity cost of capital to the economy, the return on the marginal public investment, which is set by the planning ministry or the lending agency and varies between countries. Some agencies use a social discount rate derived from time preference instead. The chosen rate is a policy parameter; what the analyst must do is state it, apply it consistently, and show in sensitivity tests how the decision changes if it is different.
The payback period is the time taken for cumulative net cash inflows to equal the initial investment. With equal inflows it is investment divided by annual inflow; with unequal inflows, accumulate year by year and interpolate within the year the total is reached. For an investment of 120,000 currency units with inflows of 25,000, 40,000, 35,000, 50,000 and 30,000, the cumulative total is 100,000 after three years; the remaining 20,000 is 0.4 of the fourth year's 50,000, so payback is 3.4 years. Dividing by the average inflow (36,000) gives 3.33 years and is wrong because the flows are uneven. Payback is easy to understand and a rough guide to liquidity and risk, but it ignores the time value of money and every flow after the payback date. The discounted payback period accumulates discounted flows instead and is always longer than simple payback. The accounting rate of return (ARR) is average annual accounting profit after tax divided by average investment, where average investment is (initial cost + salvage value)/2. Its weaknesses are that it uses profit rather than cash and ignores timing. Gittinger does not recommend undiscounted measures for choosing agricultural projects, but examiners and bankers still ask for them.
Net present value is the present value of benefits minus the present value of costs, or equivalently the sum of discounted incremental net benefits: NPV = Σ (B_t − C_t)/(1 + r)^t. Accept a project if NPV is zero or positive at the opportunity cost of capital. For an investment of 100,000 currency units in year 0 with net inflows of 30,000, 40,000, 50,000 and 30,000 in years 1 to 4, at 10 percent the discount factors are 0.9091, 0.8264, 0.7513 and 0.6830; the present value of inflows is 118,387 and NPV is 18,387 currency units. NPV is measured in money, adds across projects, and is the correct criterion for choosing among mutually exclusive alternatives. Its limitation is that it says nothing about the scale of investment needed to earn it.
The internal rate of return is the discount rate at which NPV equals zero. Accept a project if IRR exceeds the opportunity cost of capital. It is found by trial: compute NPV at two rates that give opposite signs and interpolate linearly, IRR ≈ r_low + (r_high − r_low) × NPV_low/(NPV_low − NPV_high). If NPV is +8,000 at 12 percent and −4,000 at 16 percent, IRR ≈ 12 + 4 × 8,000/12,000 = 14.67 percent. The flows in the previous paragraph have an IRR of 18.03 percent. Interpolation over a wide range overstates slightly because the NPV curve is convex. The IRR has three known problems. Non-conventional flows, where the sign changes more than once (a mine with closure costs, a plantation replanted mid-life), can have several IRRs or none. For mutually exclusive projects IRR can rank wrongly: project A (−1,000 now, +1,500 in year 3) has IRR 14.5 percent and NPV 127 at 10 percent, while project B (−1,000, +950, +150, +100) has the higher IRR, 15.5 percent, but the lower NPV, 63. The two NPV curves cross at the Fisher rate of 13.8 percent; below it A is better. Use NPV, or the IRR of the incremental flows (A minus B), to choose. Third, the IRR implicitly assumes that interim flows are reinvested at the IRR itself; the modified IRR assumes reinvestment at the cost of capital instead.
The benefit-cost ratio is the present value of benefits divided by the present value of costs; accept if it is 1 or more. It gives the same accept-reject answer as NPV for an independent project, but its value depends on how costs are classified: if operating costs are subtracted from benefits instead of added to costs, NPV is unchanged but the ratio changes. It should therefore not be used to rank projects without a stated convention. The profitability index, used in corporate finance, is the present value of future cash inflows divided by the initial investment; PI above 1 means positive NPV. Gittinger's net benefit-investment ratio (N/K) is the present value of net benefits in the years they are positive divided by the present value of net benefits in the early years when they are negative; it is the ratio to use for ranking projects when the investment budget is fixed. Under capital rationing, rank independent projects by PI or N/K and take them in order until the budget is spent.
Financial analysis looks at the project from the viewpoint of a participant: the farmer, the firm, the cooperative or the implementing agency. It uses market prices actually paid and received, including taxes, subsidies and interest. The cash-flow table sets out, year by year, the inflows (sales, salvage value, subsidies received, loans received) and outflows (investment, operating costs, working capital, taxes, and in the equity view, debt service). The farm budget shows whether participating farmers will earn enough more to justify adopting the project; if they do not, the project will fail however attractive it looks to the nation. Depreciation is not a cash outflow and does not appear in a discounted cash flow; the full capital cost is counted when it is spent, and counting depreciation as well would count it twice. Sunk costs, spent before the decision, are ignored because they are the same with or without the project.
Gittinger insists on the with-and-without comparison, not before-and-after. The benefit of a project is the difference between what happens with it and what would have happened without it. If yields would have fallen without an irrigation rehabilitation project because the canal was silting up, the benefit includes the loss avoided. If production would have grown anyway through farmers' own investment, only the extra growth counts. The incremental net benefit, with-project net benefit minus without-project net benefit in each year, is the stream that is discounted.
Economic analysis asks whether the project adds to the welfare of the whole society. It uses the same cash-flow structure with three changes. First, transfer payments are removed: taxes, subsidies, and loan receipts and debt service, because they move claims between members of society without using real resources. Second, market prices are replaced by economic (shadow or accounting) prices wherever markets are distorted. Third, price contingencies for general inflation are removed while physical contingencies are kept. For traded goods the economic value is the border price: import parity (the c.i.f. price converted at the exchange rate, plus port handling and transport to the project) for importables, export parity (f.o.b. price, minus handling and transport from the project to the port) for exportables. Non-traded goods are valued at their domestic cost of production or converted to border prices using conversion factors. Labour is valued at its shadow wage: the output forgone elsewhere, which may be well below the market wage where there is surplus rural labour, especially in the slack season. Where the official exchange rate overvalues the domestic currency, a shadow exchange rate or a standard conversion factor corrects it. The standard conversion factor is estimated as (M + X)/[(M + Tm) + (X − Tx)], where M and X are imports and exports at border prices and Tm and Tx are import and export taxes; the shadow exchange rate equals the official rate divided by this factor.
Three manuals founded the modern method. Little and Mirrlees (OECD, 1968 and 1974) valued everything at border prices, with uncommitted public income in foreign exchange as the numeraire. The UNIDO Guidelines for Project Evaluation (Dasgupta, Marglin and Sen, 1972) used aggregate consumption at domestic prices as the numeraire and a shadow exchange rate. Squire and van der Tak (World Bank, 1975) reconciled the two and added distributional weights. Textbooks describe the UNIDO method in five stages: financial profitability at market prices; net benefit in economic prices; adjustment for the project's effect on savings and investment; adjustment for income distribution; and adjustment for merit and demerit goods. Properly done, the Little-Mirrlees and UNIDO approaches give the same accept-reject decision because they differ only in the unit of account. Modern practice (for example the Asian Development Bank's and the European Commission's guides) applies economic prices routinely but uses explicit distributional weights less often, preferring to report distributional effects separately. Externalities, such as downstream siltation, pollution from processing effluent, or carbon sequestered by agroforestry, belong in social cost-benefit analysis and should be valued where a defensible method exists and described where it does not.
Agricultural projects face production risk from weather, pests and disease; price risk from volatile output and input markets; implementation risk from delays and cost overruns; institutional risk from policy change (export bans, stock limits, subsidy withdrawal); financial risk from interest and exchange rates; and adoption risk when farmers do not take up the technology as fast as planned. Knight's distinction is useful: risk is variability to which probabilities can be attached; uncertainty is where they cannot. Most project risk analysis quantifies what it can and reports the rest.
Sensitivity analysis recomputes NPV or IRR when one variable at a time is changed by a stated amount. Gittinger's standard tests are a rise in costs, a fall in benefits, and a delay in implementation, each of which affects agricultural projects often. The switching value is the change in a variable that makes NPV exactly zero. If NPV is 18,387 currency units and the present value of benefits is 118,387, benefits may fall by 15.5 percent before the project is no longer worth doing. Switching values are easier to discuss with decision-makers than elasticities: 'the project fails if yields are 15 percent below the design yield' is a statement an agronomist can judge. The weakness of sensitivity analysis is that it varies one factor at a time, although in reality a drought lowers yields and raises prices together.
Scenario analysis sets whole combinations (pessimistic, most likely, optimistic) and computes NPV for each. If probabilities can be assigned, the expected NPV is the probability-weighted average and the standard deviation measures dispersion; the coefficient of variation (standard deviation divided by expected value) compares risk per unit of return across projects of different size. Monte Carlo simulation extends this by giving each uncertain variable a probability distribution, drawing thousands of combinations, and reporting the distribution of NPV and the probability that it is negative. Correlations between variables must be specified or the result understates risk. Decision trees handle sequential decisions, such as whether to expand a pilot processing unit after one season's results.
Two textbook ways of building risk into the discount calculation are the risk-adjusted discount rate, which adds a premium to the rate for riskier projects, and the certainty-equivalent method, which multiplies each uncertain cash flow by a coefficient between 0 and 1 and then discounts at the risk-free rate. The certainty-equivalent method is more transparent because the risk-adjusted rate implies that risk grows geometrically with time, which is not always true. Analysis is only half the job: the project design should reduce risk through diversification of crops or markets, contract farming or forward sales, crop and livestock insurance, phased investment, and contingency allowances in the budget.
A bar (Gantt) chart shows when each activity runs but not how activities depend on each other. Network techniques show dependencies, identify which activities control the finishing date, and show how much each of the others can slip. The critical path method (CPM) was developed in the late 1950s by DuPont with Remington Rand for plant construction and maintenance, and assumes known activity times. The programme evaluation and review technique (PERT) was developed at about the same time for the US Navy's Polaris missile programme and treats activity times as uncertain. In an activity-on-arrow network each activity is an arrow between event nodes, and dummy activities, which take no time and no resources, are used to show logical dependencies and to avoid two activities sharing the same pair of nodes. In an activity-on-node network each activity is a box and no dummies are needed.
Consider a small pack-house project: A, site preparation, 3 weeks; B, ordering the grading line, 4 weeks; C, foundations, 2 weeks after A; D, access road, 5 weeks after A; E, installing the line, 6 weeks after both B and C; F, trial runs, 3 weeks after both D and E. The forward pass gives each activity its earliest start (ES, the largest earliest finish of its predecessors) and earliest finish (EF = ES + duration). The backward pass starts from the project finish and gives latest finish (LF, the smallest latest start of its successors) and latest start (LS = LF − duration). The results are A: ES 0, EF 3, LS 0, LF 3, total float 0; B: ES 0, EF 4, LS 1, LF 5, total float 1; C: ES 3, EF 5, LS 3, LF 5, total float 0; D: ES 3, EF 8, LS 6, LF 11, total float 3; E: ES 5, EF 11, LS 5, LF 11, total float 0; F: ES 11, EF 14, LS 11, LF 14, total float 0. The project takes 14 weeks. Total float (LS − ES) is the delay an activity can take without delaying the project; activities with zero total float are critical, and here the critical path is A-C-E-F (3+2+6+3 = 14 weeks). The other paths, A-D-F (11 weeks) and B-E-F (13 weeks), are shorter. Free float is the delay an activity can take without delaying the earliest start of any successor: for B it is ES of E minus EF of B = 5 − 4 = 1 week; for D it is 3 weeks. There can be more than one critical path, and a non-critical activity becomes critical once its float is used up.
PERT asks for an optimistic time a, a most likely time m and a pessimistic time b, and assumes a beta distribution. The expected time is te = (a + 4m + b)/6 and the variance is [(b − a)/6]^2. For a = 4, m = 6, b = 14 days, te = 7 days and variance = (10/6)^2 = 2.78. The expected project duration is the sum of te along the critical path, and, assuming activity times are independent and appealing to the central limit theorem, its variance is the sum of the variances of critical activities. The probability of finishing by a deadline D is found from Z = (D − Te)/σ and the standard normal table: with Te = 30 weeks and path variance 9 (σ = 3), the probability of finishing within 33 weeks is that of Z ≤ 1, about 84.1 percent. PERT understates the risk of delay when a near-critical path has high variance, since that path may turn out longest; simulation handles this.
Crashing shortens the project by spending more on selected activities. Each activity has a normal time and cost and a crash time and cost; the cost slope is (crash cost − normal cost)/(normal time − crash time), the extra cost per unit of time saved. To shorten the project at least cost, crash the critical activity with the lowest cost slope first, one period at a time, recomputing the critical path after each step because new paths become critical. Continue while the saving in indirect costs (supervision, overheads, penalties, lost early revenue) exceeds the crashing cost; the minimum total cost duration is where the two balance. Scheduling must also respect resources. Resource levelling (smoothing) shifts non-critical activities within their float to reduce peaks in the demand for a resource, such as tractors or skilled masons, without extending the project. Resource-constrained scheduling, used when a resource is strictly limited, may have to extend the project and uses priority rules (least float first, shortest activity first). In farming, seasonal labour peaks at transplanting and harvest make resource levelling a practical, not a theoretical, concern.
A cost overrun is the excess of actual over estimated cost, usually expressed as a percentage of the estimate; a time overrun is the excess of actual over planned duration. They feed each other: delay exposes the project to price escalation, extends interest during construction, postpones revenue and lowers the IRR. Common causes in agricultural and rural infrastructure are delays in land acquisition and clearances; unrealistic estimates made to secure approval; design changes and scope creep after work begins; delayed release of funds; contractor failure; inflation and exchange-rate changes on imported equipment; and weak project management. Research on large infrastructure projects has documented systematic optimism in cost and demand forecasts, and some governments now require reference-class forecasting, which adjusts an estimate by the overruns actually experienced on a set of similar completed projects. Physical and price contingencies in the budget cover expected variation, not bad planning.
Monitoring is the continuous collection and analysis of information on inputs, activities and outputs against the plan so that managers can act in time. A monitoring system names indicators from the logframe, the frequency of reporting, who collects the data and who acts on it. Physical progress is tracked against the network schedule, financial progress against the budget, and early outcomes such as adoption rates and yields against targets. Earned value management integrates cost and schedule: planned value (PV) is the budgeted cost of work scheduled, earned value (EV) is the budgeted cost of work actually performed, and actual cost (AC) is what was spent. The cost performance index CPI = EV/AC and the schedule performance index SPI = EV/PV; values below 1 mean over cost and behind schedule. The estimate at completion, if present efficiency continues, is budget at completion divided by CPI. For a project with a budget of 1,000,000 currency units, PV 400,000, EV 350,000 and AC 420,000, CPI = 0.833, SPI = 0.875 and the estimate at completion is 1,200,000.
Mid-course correction is the formal revision of a project during implementation when monitoring shows that the original design will not reach its objectives. Development agencies conduct a mid-term review for this purpose. The options are rescheduling, re-sequencing activities, reallocating funds between components, changing the scale or scope, changing implementing arrangements, or, rarely, closing the project. The decision should use only future costs and benefits: money already spent is sunk. A half-built cold store that needs a further 4,000,000 currency units to complete should be completed if the present value of its future net benefits exceeds 4,000,000, whatever has already been spent.
Evaluation is the periodic, systematic assessment of a project's relevance, results and sustainability, usually by someone independent of management. The OECD Development Assistance Committee criteria, widely used by donors and governments, are relevance, coherence (added in 2019), effectiveness, efficiency, impact and sustainability. Ex-post economic evaluation recomputes the economic rate of return on actual costs and benefits and compares it with the rate estimated at appraisal. Impact evaluation attributes outcomes to the project by comparing participants with a credible counterfactual: randomised assignment where feasible, otherwise methods such as difference-in-differences, propensity score matching or regression discontinuity.
A detailed project report (DPR) is the document a borrower submits to a bank or development agency to obtain finance, and its format is shaped by bank practice and, in many countries, by model project profiles that development banks, agricultural refinance institutions and donor programmes publish for activities such as dairy, poultry, fisheries, cold storage and agro-processing. A standard DPR contains: a summary; the promoter's background, experience and financial standing; the project description; the market assessment; technical details including location, capacity, technology, machinery, raw material, utilities and manpower; the cost of the project; the means of finance; projected production and sales; projected profit and loss statements, cash flows and balance sheets for the loan period; worth and viability ratios; the repayment schedule; and the security offered. Statutory clearances and environmental aspects are added where applicable.
In the format used by many development and commercial banks, the cost of project is the sum of land and site development; buildings and civil works; plant and machinery; miscellaneous fixed assets; preliminary and pre-operative expenses, including interest during construction; contingencies; and margin money for working capital (the part of working capital that the promoter must fund, the rest coming from a working-capital loan). The means of finance lists how this is met: the promoter's contribution (equity or margin), term loans, capital subsidies or grants where a government scheme provides them, and unsecured loans from promoters. The margin, the share the borrower must bring, and the treatment of subsidy (often held as a back-ended reserve and adjusted against the loan after a lock-in period) vary by scheme, borrower category and bank; the DPR must follow the rules of the scheme under which it is filed.
Beyond NPV, IRR and BCR, banks look closely at repayment capacity. The debt service coverage ratio (DSCR) is (profit after tax + depreciation + interest on term loan) divided by (interest on term loan + principal repayment) for each year; the average and minimum over the loan period are reported. Banks generally require it comfortably above 1, and the norm varies by bank and activity. The break-even point in units is fixed cost divided by the contribution per unit (price minus variable cost per unit); as a percentage of capacity it shows how far sales can fall before losses begin. The cash break-even point excludes depreciation from fixed cost. The debt-equity ratio measures leverage; the current ratio measures short-term liquidity. The repayment schedule should match the project's cash flow, with a moratorium during gestation (long for plantations, short for broiler units) and instalments that follow seasonal income where possible.
Bank appraisal checks the DPR on several fronts: the borrower (the five Cs of credit: character, capacity, capital, collateral, conditions); technical feasibility, often with a field visit and reference to the scale of finance or unit cost norms for the activity; commercial viability from market evidence; financial viability from the projections and ratios; and the security and legal documents. Common reasons for rejection or reduction are an unrealistic sales price or capacity utilisation in early years, missing working capital, no allowance for the build-up period, a DSCR that looks adequate only because depreciation is overstated, and a promoter contribution that is not actually available. A good analyst writes the DPR as if she were the appraising officer.
The word was used in economics by Richard Cantillon in the eighteenth century for a person who buys at a certain price to sell at an uncertain one, and so bears risk. Jean-Baptiste Say stressed the entrepreneur as the coordinator who combines land, labour and capital. Frank Knight (Risk, Uncertainty and Profit, 1921) saw profit as the reward for bearing uninsurable uncertainty. Joseph Schumpeter (The Theory of Economic Development, 1911, English 1934) defined the entrepreneur as the innovator who carries out new combinations: a new good or quality, a new method of production, a new market, a new source of raw material, or a new organisation of an industry. Innovation disrupts the circular flow of the economy, a process he later called creative destruction. Israel Kirzner (Competition and Entrepreneurship, 1973) placed the entrepreneur's role in alertness to unnoticed profit opportunities, which moves markets towards equilibrium, the opposite emphasis from Schumpeter's disequilibrium. Harvey Leibenstein described the entrepreneur as a gap-filler and input-completer where markets are imperfect.
David McClelland (The Achieving Society, 1961) argued that economic growth depends on the need for achievement (n-Ach) in a society, measured through thematic analysis of stories, and that it can be raised by training; the Kakinada experiment in southern India in the 1960s, reported in Motivating Economic Achievement (McClelland and Winter, 1969), is the classic test and shaped later entrepreneurship development programmes built on achievement-motivation training. Everett Hagen's theory of social change proposed that groups who suffer a withdrawal of status respect may, over generations, turn to entrepreneurship. Max Weber linked the rise of capitalism to the Protestant ethic of disciplined work and saving. Later work shifted from traits to process. Shapero's entrepreneurial event model explains a venture start by displacement, perceived desirability and perceived feasibility. Saras Sarasvathy's effectuation describes how expert entrepreneurs start from the means they have, limit themselves to affordable loss, build partnerships, and use surprises, rather than setting a goal and planning backwards as causal reasoning does.
Clarence Danhof's typology, built from the study of American agriculture, classifies entrepreneurs as innovative (introduce new methods), imitative or adoptive (copy successful innovations), Fabian (cautious, change only when failure to do so threatens loss) and drone (refuse change even at a loss). Other classifications distinguish by ownership (private, cooperative, public), size, and motive (opportunity versus necessity entrepreneurship). Competency research from the 1980s, which underlies the UNCTAD Empretec programme, identified personal entrepreneurial competencies grouped under achievement (opportunity-seeking and initiative, persistence, fulfilling commitments, demand for quality and efficiency, calculated risk-taking), planning (goal-setting, information-seeking, systematic planning and monitoring) and power (persuasion and networking, independence and self-confidence). Entrepreneurship development programmes train these competencies alongside business skills.
Agripreneurship is entrepreneurship in agriculture and its value chain: inputs (seed, feed, bio-inputs), production services (custom hiring, nursery, soil testing, veterinary services), post-harvest handling, processing, marketing and farm-to-consumer supply, agricultural finance and insurance, and digital services such as advisory, traceability and market-linkage platforms. Agri-startups are young firms seeking a scalable model in this space. Their distinctive difficulties are seasonal cash flow, dispersed small-holder customers with low ability to pay, high customer acquisition cost in rural areas, perishability, and dependence on policy. Successful models usually aggregate many small farmers, through a farmer producer organisation, cooperative or contract arrangement, to reach scale. Funding typically moves from the founder's own money and grants to angel and seed investment and then venture rounds; public incubators and grant schemes are especially important in agriculture because private venture capital is scarcer than in other sectors.
Micro, small and medium enterprises are defined differently in every country, so any threshold must be checked against the current law where the enterprise is registered. The European Union's 2003 definition uses staff headcount (fewer than 10 for micro, fewer than 50 for small, fewer than 250 for medium) together with turnover or balance-sheet ceilings. The United States Small Business Administration sets size standards industry by industry. Many developing countries combine employment with turnover, assets or investment: India, for example, moved in 2020 from investment in plant and machinery alone to a composite of investment and turnover, while international lenders such as the World Bank Group apply their own working definitions for SME finance. There is therefore no single international threshold. Where governments run support programmes, registered MSME status is the gateway to them: directed or targeted credit, credit guarantee funds, public procurement preferences and, in some jurisdictions, protection against late payment by large buyers.
The usual sequence is: identify and screen the opportunity; carry out a feasibility study; choose the legal form; register the business and obtain tax registrations, trade licences and sector permits (for food businesses, a food safety licence or registration; for pollution-prone units, consent from the pollution control authority); arrange land, building and utilities; prepare the DPR and arrange finance; procure machinery; recruit and train staff; conduct trial production; and begin commercial operation. Legal forms include the sole proprietorship (simple, unlimited liability); the partnership; the limited liability partnership (partners' liability limited); the private limited company, which many jurisdictions now allow with a single member; the cooperative society; and hybrid forms designed for farmer-owned businesses that combine limited liability with cooperative principles of member ownership, such as the new-generation cooperatives of North America and the producer companies introduced into Indian company law in 2002. The choice affects liability, taxation, ability to raise equity, compliance cost and continuity.
A business plan is the entrepreneur's written case for the venture, addressed to investors, lenders, partners and the entrepreneur herself. A conventional plan contains an executive summary; description of the business and its value proposition; industry and market analysis with target customers and competitors; marketing and sales plan (product, price, place, promotion); operations plan; management team and organisation; financial plan with projected income statement, cash flow and balance sheet, break-even and funding requirement; risks and mitigation; and milestones. It differs from a DPR mainly in audience and emphasis: a DPR is written to a lender's format and stresses repayment capacity, while a business plan for investors stresses growth potential, the team and the return on equity. The executive summary is written last and read first.
The Business Model Canvas of Osterwalder and Pigneur sets out a business on one page in nine blocks: customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partnerships and cost structure. It is used to compare alternative models quickly, for example selling a soil-testing service to farmers directly, to input dealers, or to a public agency. The lean startup method (Eric Ries) treats a new venture as a set of hypotheses to be tested in build-measure-learn cycles with a minimum viable product, and to pivot when evidence contradicts the plan. For agricultural ventures, where each learning cycle may take a full crop season, pilots in several locations at once and pre-season commitments from buyers shorten the loop.
A business incubator supports early-stage ventures with space, shared equipment, mentoring, training, networks, and help with funding and compliance, usually for a fixed period, after which the firm graduates. Pre-incubation helps a founder test an idea before forming a company; incubation supports a young firm to its first sales; accelerators run short, intensive, cohort-based programmes for firms that are already trading, often in return for equity. Agribusiness incubators are commonly based at agricultural universities and research institutes, where they also commercialise the institution's technologies; public programmes and development partners in Africa, Asia, Europe and the Americas fund such incubators and give seed grants to agri-startups. The value of an incubator is judged by the survival and growth of its graduates, not by the number admitted.
Intellectual property rights give their holder a time-limited exclusive right in return for disclosure or investment. Under the WTO TRIPS Agreement a patent lasts at least 20 years from filing and requires novelty, an inventive step (non-obviousness) and industrial application. TRIPS Article 27.3(b) allows countries to exclude plants and animals from patents but requires them to protect plant varieties by patents, an effective sui generis system, or both. UPOV, the International Union for the Protection of New Varieties of Plants, provides such a system: a plant variety must be new, distinct, uniform and stable, and under the 1991 Act protection lasts at least 25 years for trees and vines and 20 years for other species. UPOV 1991 lets each member allow farmers, within reasonable limits, to replant farm-saved seed on their own holdings (the 'farmers' privilege'); the European Union, for example, requires all but small farmers to pay the breeder an equitable remuneration for this. Some countries outside UPOV, for example India and Thailand, wrote their own sui generis laws, and some of these give farmers wider rights, such as India's 2001 Act, which lets farmers save, exchange and sell farm-saved seed but not branded seed of a protected variety. Geographical indications protect names tied to origin and reputation, such as Champagne, Parmigiano Reggiano, Café de Colombia and Darjeeling tea. Trademarks protect brand identity, copyright protects expression including software code, and trade secrets protect undisclosed know-how such as a processing recipe. TRIPS lets members exclude plants and animals and essentially biological processes from patents, but not micro-organisms or microbiological processes; the European Patent Convention, for example, uses these exclusions, while the United States also grants utility patents on plants.
Commercialisation moves a technology from laboratory to market. Its routes are licensing (exclusive or non-exclusive, for an upfront fee, royalty, or both), assignment of the right outright, joint development, and a spin-off company formed by the inventors. Technology readiness levels, a nine-point scale developed at NASA, describe maturity from basic principles (level 1) to proven operation (level 9) and help match a technology to the right partner. Legislation such as the United States Bayh-Dole Act of 1980, which let universities own and license inventions made with federal funds, encouraged similar policies elsewhere. Public research institutes in agriculture usually prefer non-exclusive licensing for technologies meant for many small users, such as a vaccine or a bio-fertiliser strain, and exclusive licensing where a firm must invest heavily to bring the product to market.
Women carry out much of the labour in agriculture, livestock and processing but own a small share of land and enterprises, and face barriers in collateral, mobility, information and time. Group-based models address some of these. A self-help group (SHG) is a small, usually homogeneous, group of rural people, commonly women, who save regularly, lend to members, and after a period of good record are linked to bank credit. Savings-group models now reach tens of millions of members on several continents. In South Asia, bank-linked SHGs are federated into village and cluster organisations by national livelihood programmes; village savings and loan associations (VSLAs), developed by CARE in Niger in the early 1990s and now common across Africa, rely on members' own savings in time-bound cycles ending in a share-out, without a bank loan. The Grameen Bank model in Bangladesh, whose founder Muhammad Yunus shared the Nobel Peace Prize with the bank in 2006, used joint liability groups instead. SHG enterprises succeed best when groups are federated to reach scale in buying inputs and selling products. Family enterprises, which include most farms and a large share of agribusiness firms worldwide, combine family, ownership and business; Tagiuri and Davis's three-circle model uses these overlapping systems to explain the conflicting roles of members. Their central management problems are succession, the separation of family and business finances, professionalisation, and governance through family councils or constitutions.
Learn to build a cash-flow table and compute NPV, IRR, BCR and payback by hand with discount-factor tables, since entrance and fellowship papers allow no spreadsheet. Practise the forward and backward pass on small networks until you can find the critical path and floats in under three minutes. Memorise the PERT formulae and the Z-table values for 1, 1.5 and 2. For entrepreneurship, know who said what (Schumpeter, Knight, Kirzner, McClelland, Hagen, Danhof) and be able to explain the idea in one sentence. For your Master's thesis or internship, a small feasibility study of a real agro-enterprise is the best way to make these tools concrete.
A bank field officer, development-bank or cooperative staff member, or agribusiness analyst five years in writes or appraises detailed project reports every week. The work is: check the technical coefficients and unit costs against the scale of finance and local evidence; rebuild the cash flow from the borrower's figures; compute DSCR year by year and set a moratorium and repayment schedule that follows the project's seasonality; test sensitivity to price and yield; and write a sanction note that states the risks honestly. In an agri-startup the same person builds the business plan, tracks monthly burn against milestones, and uses a Gantt or network schedule to launch a processing line before the harvest window.
A senior manager in a development bank, ministry, food company or FPO federation decides between competing investments and defends the choice. That means setting the discount rate and appraisal standards, insisting on with-and-without comparisons and realistic build-up periods, reading economic analyses for missing transfers or double-counted benefits, and demanding switching values rather than a single IRR. During implementation the job is portfolio monitoring: spotting cost and time overruns early through earned value and milestone reports, calling mid-term reviews, and taking the uncomfortable decision to restructure or close a failing project on the basis of future costs only. Mentoring entrepreneurs and incubator boards is also common at this stage.
A researcher with long experience works on the methods themselves: shadow pricing of labour and foreign exchange in economies with informal labour markets; valuation of environmental externalities and ecosystem services in agricultural projects; discounting over long horizons for climate adaptation and agroforestry; ex-post impact evaluation of rural investments with quasi-experimental designs; and the determinants of agri-enterprise survival, FPO performance and women's enterprise growth. Such work is published, and it feeds into the appraisal guidelines of national governments and multilateral banks. It requires command of welfare economics, econometrics and the institutional history of the Little-Mirrlees, UNIDO and World Bank methods.
Discount-factor tables are described, not printed. Current MSME thresholds in any country, current subsidy and margin rules of individual schemes, and bank-specific DSCR norms are deliberately not stated as numbers because they change; the reader must check the live notification. Environmental impact assessment, detailed Monte Carlo practice, real options, the analysis of project financing structures (public-private partnerships, blended finance) and national startup-recognition rules are only touched on or omitted. Case studies of named companies are not included.
Original practice questions written to the syllabus and pattern of the exams named in each question's examTags. They are not past papers and do not reproduce any board's questions. Every numerical answer was computed by script and the working is shown in the explanation.
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