Allocative efficiency is achieved when a producer uses the combination of inputs that minimises the cost of producing a given output, given the prevailing prices of those inputs.
The practical question it answers: even if a farm is squeezing the most output possible from its resources, is it using the right mix of resources given what each one costs?
Allocative efficiency is the second half of the efficiency picture that begins with Technical Efficiency. A farm can be perfectly technically efficient — sitting exactly on its production frontier — and still be allocatively inefficient if it is using, say, too much labour and too little fertiliser relative to what their respective prices would justify.
What Is Allocative Efficiency?
Formally, allocative efficiency requires that a producer’s input mix satisfy the condition that the ratio of the marginal products of any two inputs equals the ratio of their prices — equivalently, that the last dollar spent on labour generates the same additional output as the last dollar spent on fertiliser, capital, or any other input. When this condition fails, output could be raised, or cost lowered, simply by reallocating spending toward whichever input currently delivers more output per dollar, without using any more resources overall.
This distinguishes allocative efficiency sharply from technical efficiency. Technical efficiency is a purely physical, engineering-style question: given these input quantities, is maximum output being achieved? Allocative efficiency is an economic, price-dependent question: given these input prices, was the cheapest combination chosen to reach that output? A farm can score well on one and poorly on the other, and the two must be measured and interpreted separately, using the same stochastic frontier or data envelopment methods described under Technical Efficiency but applied to a cost, rather than a production, frontier.
Multiplied together, technical efficiency and allocative efficiency yield economic efficiency: the overall measure of whether a farm is both physically productive and economically sensible in how it combines its resources. A farm cannot be economically efficient without being both technically and allocatively efficient simultaneously.
Why Does Allocative Efficiency Matter?
It identifies a distinct, and often larger, source of lost income than technical inefficiency alone. A stochastic frontier study of rice farming in Ebonyi State, Nigeria, found farmers to be 86 percent technically efficient but only 63 percent allocatively efficient, and just 54 percent economically efficient overall — meaning input misallocation, not poor physical management, was the larger drag on farm income in that sample. A separate study of crop production in eastern Amhara, Ethiopia, found the opposite pattern: technical efficiency of 62.5 percent alongside markedly higher allocative efficiency of 86.5 percent, with combined economic efficiency of 54.1 percent — showing that which inefficiency dominates varies by context, and that a general assumption about which one matters more can be wrong for a given farming system.
It points to different remedies than technical inefficiency does. Raising technical efficiency typically calls for better agronomic practice, timing and management — the domain of extension services and on-farm training. Raising allocative efficiency instead requires farmers to have accurate, current information about relative input prices and the flexibility to actually rebalance their input purchases in response — which is often constrained by credit access, input market functioning, or simple lack of price information in rural areas, rather than by farming skill.
It reveals why input subsidies and price distortions have efficiency costs, not just fiscal ones. If a government subsidises one input, such as fertiliser, without a matching subsidy on labour or other inputs, farmers rationally shift toward the now-cheaper input — but this shift is a movement away from allocative efficiency relative to the true, unsubsidised opportunity cost of each input, even though it looks like a rational private response to the prices farmers actually face. This is a standard finding in the analysis of Agricultural Subsidy programmes.
Efficiency components vary substantially by method and by country, which matters for how confidently the numbers should be used. A comparative study of potato farming efficiency in Bangladesh applying both Stochastic Frontier Analysis and Data Envelopment Analysis found that technical efficiency consistently scored highest of the three efficiency measures and economic efficiency scored lowest, with only about a third of sampled farms reaching the top efficiency class on the economic efficiency measure — a pattern that shows up repeatedly across the agricultural efficiency literature and underscores that overall economic efficiency, the product of technical and allocative efficiency, is typically the hardest of the three to achieve.
Key Takeaways
- Allocative efficiency means choosing the input combination that minimises the cost of a given output at current input prices — not simply maximising output from a given input bundle.
- It is satisfied when the ratio of marginal products across inputs equals the ratio of their prices, so the last dollar spent on any input yields the same additional output.
- It is distinct from technical efficiency: a farm can achieve maximum physical output from its inputs while still using an economically wasteful mix of those inputs.
- Technical efficiency multiplied by allocative efficiency equals overall economic efficiency.
- Real studies show the balance between the two varies by context: Nigerian rice farmers scored higher on technical efficiency (86%) than allocative efficiency (63%), while Ethiopian crop farmers showed the reverse pattern (62.5% technical versus 86.5% allocative).
- Improving allocative efficiency typically requires better price information and input market access, distinct from the agronomic training that improves technical efficiency.
Frequently Asked Questions
What is allocative efficiency in simple terms?
Allocative efficiency means using the mix of inputs, such as land, labour, fertiliser and capital, that produces a given output at the lowest possible cost given current input prices. A farm can be technically excellent at converting inputs into output and still be allocatively inefficient if it uses too much of an expensive input and too little of a cheap one.
What is the difference between technical efficiency and allocative efficiency?
Technical efficiency asks whether a farm gets the maximum physical output from its input quantities, regardless of price. Allocative efficiency asks whether those input quantities represent the cheapest way to produce that output, given how much each input costs. A farm needs both to be fully economically efficient.
How is allocative efficiency calculated?
It is typically estimated using the same Stochastic Frontier Analysis or Data Envelopment Analysis methods used for technical efficiency, but applied to a cost frontier rather than a production frontier — comparing a farm’s actual production cost to the minimum cost achievable at its output level and current input prices.
What is economic efficiency compared to allocative efficiency?
Economic efficiency is the combination of technical and allocative efficiency: a farm is economically efficient only if it both produces the maximum possible output from its inputs and chooses the cheapest input mix to do so. Economic efficiency is calculated as technical efficiency multiplied by allocative efficiency, and studies consistently find it scores lower than either component on its own.
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References and Further Reading
- Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253–290.
- Economic efficiency of rice farming: a stochastic frontier analysis approach. Journal of Development and Agricultural Economics. https://www.academia.edu/44868105/ECONOMIC_EFFICIENCY_OF_RICE_FARMING_A_STOCHASTIC_FRONTIER_ANALYSIS_APPROACH
- Crop production efficiency in Eastern Amhara, Ethiopia. Discover Food, Springer Nature (2025). https://link.springer.com/article/10.1007/s44187-025-00529-w
- Estimating the potato farming efficiency: a comparative study between stochastic frontier analysis and data envelopment analysis. PLOS ONE. https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0284391
- Determinants of allocative and economic efficiency in crop-livestock integration in western part of Ethiopia, evidence from Horro district: data envelopment approach. PMC. https://pmc.ncbi.nlm.nih.gov/articles/PMC8264118/