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VEE Economics · Long-Run Costs and Scale · Tutorial 259 of 998

Fixed-Proportions Technology and Leontief Costs

Use a Leontief production function to find the least-cost input bundle for a target output and explain why extra units of one input alone do not help.

Intermediate 10 min read

What You'll Learn

  • Interpret the coefficients in a fixed-proportions production function.
  • Convert a target output into the minimum required quantities of each input.
  • Derive the minimum-cost function for a Leontief technology.
  • Distinguish an efficient input bundle from one containing unusable excess inputs.
  • Avoid applying a smooth tangency rule at a kink-shaped isoquant.

Fixed-Proportions Production

Some production processes require inputs in a recipe. A particular output may require a fixed amount of labor and a fixed amount of machine time; extra labor without enough machine time cannot raise production. This is the defining feature of fixed-proportions technology, also called Leontief technology. Because inputs cannot substitute for one another, the cost-minimizing choice differs from the smooth tangency choices used for technologies with substitutable inputs.

Let \(L\) denote labor and \(K\) denote capital, such as machine capacity. Suppose each unit of output requires \(a>0\) units of labor and \(b>0\) units of capital. The production function is

$$ q=f(L,K)=\min\left\{\frac{L}{a},\frac{K}{b}\right\}. $$

The ratios \(L/a\) and \(K/b\) are the amounts of output that labor and capital, considered separately, could support. Actual output is limited by the smaller amount. The input with the smaller supported output is the bottleneck.

Definition: In a Leontief production function \(q=\min\{L/a,K/b\}\), the coefficients \(a\) and \(b\) are the required quantities of labor and capital per unit of output. Producing \(q\) units requires at least \(aq\) units of labor and \(bq\) units of capital. If either required input is missing, the target cannot be produced; extra units of the other input alone do not compensate.

For example, if \(a=3\) and \(b=2\), one unit of output requires three units of labor and two units of capital. A bundle with six units of labor and two units of capital can produce only one unit: labor could support two units, but capital supports just one. In an input diagram, the isoquant has a right-angle kink at the required recipe. Increasing one input while holding the other below its required amount does not move production to a higher isoquant.

Finding the Cost-Minimizing Bundle

Suppose the firm must produce a specified target \(q\), labor costs \(w\) per unit, and capital costs \(r\) per unit. Assume \(w>0\), \(r>0\), both inputs are divisible, and the firm can choose any nonnegative quantities. There are no fixed costs or other production constraints in this model. The firm minimizes \(wL+rK\) subject to producing at least \(q\).

$$ \min_{L,K\geq 0} \; wL+rK \quad\text{subject to}\quad \min\left\{\frac{L}{a},\frac{K}{b}\right\}\geq q. $$

The constraint requires both \(L/a\geq q\) and \(K/b\geq q\). Since input prices are positive, buying more of either input than required raises cost without helping meet the target. Thus, the least-cost bundle uses exactly \(aq\) units of labor and \(bq\) units of capital.

Theorem: For \(q\geq 0\), positive input prices \(w,r\), and the production function \(q=\min\{L/a,K/b\}\), the cost-minimizing input quantities are \(L^*=aq\) and \(K^*=bq\). Minimum cost is \(C(q;w,r)=q(aw+br)\). This result assumes the stated fixed-proportions technology and unrestricted, divisible input choices; other production constraints or input pricing rules can change the problem.

The cost per unit of output is \(aw+br\): each output unit uses \(a\) labor units costing \(aw\), plus \(b\) capital units costing \(br\). The target quantity multiplies that per-unit cost. Notice that changing input prices changes total cost, but does not change the required input proportions under this technology.

Why the Recipe Gives the Minimum

The result follows directly from feasibility and positive prices; it does not require a smooth tangency condition. A bundle produces at least \(q\) if and only if both input constraints hold. Any feasible bundle therefore costs at least the cost of the required amounts:

$$ L\geq aq,\quad K\geq bq \quad\Longrightarrow\quad wL+rK\geq waq+rbq=q(aw+br). $$

The bundle \(L=aq,\ K=bq\) satisfies both constraints and has cost exactly \(q(aw+br)\). It attains the lower bound, so it is a minimum. Because both prices are strictly positive, any excess input makes cost strictly higher. If an input price were zero, excess of that input might not raise cost, so the minimum-cost bundle need not be unique even though the same minimum cost can be achieved at the recipe.

1
Read the recipe.
Identify \(a\) and \(b\), the labor and capital required per unit of output.
2
Scale to the target.
For target \(q\), calculate \(L^*=aq\) and \(K^*=bq\).
3
Price the bundle.
Calculate labor cost \(wL^*\), capital cost \(rK^*\), and add them.
4
Check the bottleneck.
Substitute the chosen quantities into both input-output ratios. Each should equal the target.

Worked Example: Costing a Required Production Run

A workshop uses the production function \(q=\min\{L/3,K/2\}\). It must produce 120 units. Labor costs $18 per unit and machine capacity costs $27 per unit. Find the cost-minimizing bundle and minimum cost. State the method and the mistake it avoids.

Method. Apply the fixed recipe to the target. Each output unit requires three labor units and two capital units.

Required labor: \(L^*=3(120)=360\) units. Its cost is \(360(\$18)=\$6{,}480\).

Required capital: \(K^*=2(120)=240\) units. Its cost is \(240(\$27)=\$6{,}480\).

Minimum total cost: \(\$6{,}480+\$6{,}480=\$12{,}960\). Check output: \(L^*/3=360/3=120\) and \(K^*/2=240/2=120\), so the bundle produces exactly 120 units.

The method avoids treating labor and capital as interchangeable. In particular, equal spending on the two inputs in this example is a result of the numbers, not a rule for choosing the bundle.

Worked Example: Detecting Excess Labor

A small assembly line has technology \(q=\min\{L/5,K/3\}\). Its current bundle is \(L=180\) and \(K=90\), and it needs to make 30 units. Labor costs $14 per unit and capital costs $22 per unit. Determine the output capacity of the current bundle, its current input cost, and the savings if inputs can be adjusted to produce exactly the target at minimum cost.

Current capacity. Labor supports \(180/5=36\) units. Capital supports \(90/3=30\) units. Therefore, the current bundle produces \(\min\{36,30\}=30\) units; capital is the bottleneck.

Current cost. Labor costs \(180(\$14)=\$2{,}520\), and capital costs \(90(\$22)=\$1{,}980\). Total current input cost is \(\$2{,}520+\$1{,}980=\$4{,}500\).

Minimum-cost bundle for 30 units. The recipe requires \(L^*=5(30)=150\) and \(K^*=3(30)=90\). Its labor cost is \(150(\$14)=\$2{,}100\), and its capital cost is \(90(\$22)=\$1{,}980\), for total cost \(\$4{,}080\).

The avoidable excess is \(180-150=30\) labor units, costing \(30(\$14)=\$420\). The cost difference checks: \(\$4{,}500-\$4{,}080=\$420\). Reducing labor to 150 does not reduce output, because capital still supports exactly 30 units.

The Kink and a Common Exam Trap

For a smooth production function with substitutable inputs, a cost-minimizing bundle may be characterized by a tangency between an isoquant and an isocost line. A Leontief isoquant has a kink, and moving along either arm by adding only one input cannot replace the missing amount of the other. The firm therefore chooses the kink bundle, not a smooth substitution between inputs.

A frequent error is to set labor and capital spending equal, or to set the ratio of input quantities equal to the ratio of input prices. Neither condition identifies the required Leontief bundle. The technological coefficients determine the input quantities; prices determine the cost of that bundle.

Worked Example: Correcting a Price-Ratio Error

A print shop has technology \(q=\min\{L/2,K/4\}\), must produce 60 batches, and faces \(w=\$20\) per labor unit and \(r=\$35\) per capital unit. Find the required bundle and minimum cost. Then identify the error in the calculation \(L/K=w/r=20/35\).

Required bundle. The recipe requires \(L^*=2(60)=120\) labor units and \(K^*=4(60)=240\) capital units. The correct input ratio is \(L^*/K^*=120/240=1/2\), fixed by the recipe.

Cost. Labor costs \(120(\$20)=\$2{,}400\). Capital costs \(240(\$35)=\$8{,}400\). Minimum total cost is \(\$2{,}400+\$8{,}400=\$10{,}800\). The output check is \(120/2=60\) and \(240/4=60\).

Trap and correction. Setting \(L/K=w/r=20/35=4/7\) wrongly uses a price ratio to choose the input mix. It would not satisfy the production recipe at the target. With fixed proportions, first calculate \(L=aq\) and \(K=bq\), then use prices to calculate cost. The recipe, not a tangency or equal-spending condition, determines the bundle.

Interpreting the Cost Function

The formula \(C(q;w,r)=q(aw+br)\) makes several implications transparent. If the target doubles while the recipe and prices stay constant, each required input doubles and minimum cost doubles. If the labor price changes, the labor quantity needed for a given target stays at \(aq\), but the labor-cost component changes. Similarly, the capital quantity remains \(bq\) while its cost component depends on \(r\). These conclusions follow from the fixed input requirements; they do not imply that all technologies respond to price changes in the same way.

The cost formula does not apply without modification if the firm has a binding capacity limit, must buy inputs in indivisible packages, pays a fixed charge for access to an input, or can use an alternative production process. Nor does it describe a technology where extra amounts of one input can replace some of the other. Within the stated model, however, the calculation is direct and the bottleneck check is a reliable way to catch errors.

Key takeaway: For Leontief production, a target \(q\) requires the recipe bundle \((aq,bq)\). With positive input prices, any excess input raises cost without raising output, so minimum cost is \(q(aw+br)\).

Check Your Understanding

For each problem, use the fixed recipe to determine quantities before calculating costs.

  1. A process has \(q=\min\{L/4,K/3\}\), target \(q=25\), labor price $12, and capital price $20. Find the cost-minimizing bundle and minimum cost. (Answer: \(L^*=100,\ K^*=75\); minimum cost $2,700.)
  2. A production line has \(q=\min\{L/2,K/5\}\), target 40, and input prices \(w=\$16,\ r=\$9\). Find each input cost and total minimum cost. (Answer: \(L^*=80,\ K^*=200\); labor cost $1,280, capital cost $1,800, total $3,080.)
  3. Technology is \(q=\min\{L/6,K/2\}\). A firm has \(L=240\) and \(K=70\). What is its output capacity, and which input is the bottleneck? (Answer: 35 units; capital is the bottleneck.)
  4. A firm uses \(q=\min\{L/3,K/4\}\), needs 50 units, and currently uses \(L=180,\ K=200\). Labor costs $15 per unit and capital costs $8 per unit. If it can adjust inputs, find current cost, minimum cost, and the cost saving. (Answer: current cost $4,300; minimum bundle \(L^*=150,\ K^*=200\), minimum cost $3,850; saving $450.)
  5. A technology is \(q=\min\{L/5,K/2\}\), with target 36, \(w=\$25\), and \(r=\$40\). A calculation sets \(L/K=25/40\). State the correct bundle, minimum cost, and the error in that calculation. (Answer: \(L^*=180,\ K^*=72\); minimum cost $7,380; the input ratio is fixed by the recipe, \(180/72=5/2\), not by the price ratio.)
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