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Short Run & Long Run Cost Curves - Cost Function Analysis, Business Economics & Finance

In this article we will discuss about Cost in Short Run and Long Run.

Cost in the Short Run

In economics cost is often classified by its behaviour with respect to changes in output rather than by its function. In the short run some inputs are fixed (cannot be varied), so costs associated with those fixed inputs must be incurred regardless of the level of output. Other costs vary with output. The sum of all such costs - fixed and variable, explicit and implicit - for a given period is the short-run total cost (STC).

For analytical simplicity we usually divide short-run costs into two broad categories:

  • Fixed cost (TFC) - costs that do not vary with output in the short run (for example, rent, depreciation, license fees, interest on loan). These are unavoidable while the firm continues to operate.
  • Variable cost (TVC) - costs that vary with the level of output (for example, raw materials, wages of casual workers, electricity tied to production).

Short-Run Total Cost Curve

A typical short-run total cost curve (STC) shows the total cost of production for each output level when one or more inputs are fixed. When output is zero, STC is positive because fixed costs remain. The TFC curve is a horizontal line (since fixed cost does not change with output). The TVC curve starts from the origin because when output is zero variable cost is zero.

Short-Run Total Cost Curve

Variable cost and total cost increase with output. Often TVC and STC increase first at a decreasing rate, and then at an increasing rate; this pattern is explained by the Law of Variable Proportions (also known as the law of diminishing marginal returns) acting on the variable factor(s).

Average and Marginal Cost in the Short Run

Analysing average and marginal costs provides clearer insight into cost behaviour.

Average Fixed Cost (AFC)

AFC = TFC / Q

Because TFC is constant, AFC falls as output Q increases. Graphically AFC is a rectangular hyperbola that approaches zero as output becomes very large.

Average Fixed Cost (AFC)

Average Variable Cost (AVC)

AVC = TVC / Q

The typical AVC curve is U-shaped: it falls initially, reaches a minimum at some output (call it Q2), and then rises as diminishing marginal returns set in.

Average Total Cost (ATC)

ATC = TC / Q = AFC + AVC

Average Total Cost (ATC)

The ATC curve is also U-shaped. Because AFC keeps falling as output rises, the minimum point of ATC (call it Q3) occurs at a larger output than the minimum point of AVC. The vertical distance between ATC and AVC at any output equals AFC; as output increases, AFC shrinks and AVC and ATC converge.

Short-Run Marginal Cost (SMC or MC)

MC = ΔTC / ΔQ

Short-Run Marginal Cost (SMC or MC)

Marginal cost reflects the change in total cost that results from producing an additional unit of output when variable inputs change. The typical MC curve falls at first (due to increasing marginal returns from better utilisation of variable inputs), reaches a minimum at some output Q1 (which is usually less than Q2 and Q3), and then rises because of diminishing marginal returns.

Important relationships:

  • When MC is below AVC (or ATC), the respective average curve falls.
  • When MC is above AVC (or ATC), the respective average curve rises.
  • MC intersects AVC and ATC at their minimum points.

Short-Run Cost Functions

All important short-run cost relations can be summarised algebraically.

Total cost function:

TC = k + f(Q) where k is the total fixed cost (a constant) and f(Q) is the total variable cost as a function of output Q.

Average total cost:

ATC = k/Q + f(Q)/Q = AFC + AVC

Since k is constant and Q increases, AFC = k/Q falls as Q increases.

Short-Run Cost Functions

Because MC is the change in TVC with respect to Q, one can express MC equivalently as the derivative of TVC with respect to Q (continuous case) or as the discrete increment ΔTVC/ΔQ:

  • MC = f'(Q) = ΔTVC/ΔQ
  • Fixed cost does not affect marginal cost. Business decisions that depend on marginal analysis therefore do not depend on sunk fixed costs.

Relation between MC and AC

When AC is falling, marginal cost must be below average cost; when AC is rising, marginal cost must be above average cost. This leads to the general rule that MC crosses AC at AC's minimum.

Relation between MC and AC

Cost Elasticity

The cost elasticity measures the responsiveness of total cost to a small change in output. It can be written as the ratio of marginal cost to average cost:

Cost Elasticity

Thus, cost elasticity = MC / AC. This concept is useful for understanding percentage changes in cost relative to percentage changes in output.

Cost Elasticity

A numerical table (for example Table 14.2) typically illustrates: AFC declines with output; AVC and ATC fall then rise; MC falls then rises and is below average curves when they are falling and above when they are rising.

Long-Run Costs: The Planning Horizon

The long run is a planning period in which all factor inputs are variable. There are no fixed inputs in the long run (except exogenous aspects such as factor prices or technology, which we typically hold constant for the analysis). Therefore, the firm can choose its scale of operation - the size of plant or capital stock - and select the least-cost combination of inputs for each output level.

Derivation of Long-Run Cost Schedules from a Production Function

Assume factor prices are given and the production function is known. The firm's manager chooses, for each output level, the combination of labour and capital that minimises cost at the given factor prices. The locus of these least-cost combinations is the firm's expansion path.

For illustration, suppose labour costs Rs. 5 per unit and capital costs Rs. 10 per unit. An expansion path table might show, for each output level, the optimal labour and capital combination and the resulting total cost at those factor prices. From the total cost column we can compute:

  • Long-run average cost (LAC) = Total cost / output.
  • Long-run marginal cost (LMC) = Δ total cost / Δ output.

Typically LAC first falls, reaches a minimum, and then rises; LMC falls then rises, and LMC intersects LAC at LAC's minimum. Numerically, if producing 300 units requires 20 units of labour and 10 units of capital and the resulting total cost is Rs. 200, then average cost is Rs. 200/300 ≈ Rs. 0.667 per unit. The marginal cost between two output levels is the change in total cost divided by the change in output (for example, MC between 100 and 200 units = (TC@200 - TC@100)/(200 - 100)).

Expansion Path and the Long-Run Total Cost Curve

Graphically, draw isoquants for different output levels and isocost lines for the given factor-price ratio. The tangency points of isoquants and isocosts give the least-cost input combinations for each output. The expansion path joins these tangency points.

Expansion Path and the Long-Run Total Cost Curve

Mapping least-cost points into output-cost space gives the long-run total cost (LRTC) curve. Each point on LRTC shows the minimum cost of producing the corresponding output when all inputs can be varied.

Expansion Path and the Long-Run Total Cost Curve

Because fixed costs do not exist in the long run, the LRTC curve starts from the origin. Its slope represents LMC; typically LRTC increases at a decreasing rate up to some point and then at an increasing rate thereafter, reflecting falling then rising LMC.

Expansion Path and the Long-Run Total Cost Curve

Long-Run Average and Marginal Costs

Long-run average cost (LAC) is defined as:

LAC = LRTC / Q

Long-run marginal cost (LMC) is defined as:

LMC = ΔLRTC / ΔQ

Graphically, LAC is typically U-shaped and LMC intersects LAC at LAC's minimum. The same logic that explains the MC-AC relationship in the short run applies in the long run: if LMC < LAC, adding output reduces LAC; if LMC > LAC, adding output increases LAC; equality holds at the minimum point.

Long-Run Average and Marginal Costs

As Maurice and Smithson summarised, when marginal cost is less than average cost, each additional unit adds less than the average and hence average falls; when marginal cost is greater, average rises; therefore LMC must equal LAC at LAC's minimum.

The Shape of the LAC: Economies and Diseconomies of Scale

The long-run average cost curve's shape reflects advantages and disadvantages of expanding firm size - these are called economies and diseconomies of scale.

Economies of Scale (Decreasing LAC)

Factors that give rise to economies of scale include:

  • Greater specialisation of resources - larger firms can divide tasks more finely among workers and machines.
  • More efficient utilisation of equipment - large plants can use costly machines more fully and spread fixed costs per unit over a larger output.
  • Reduced unit costs of inputs - bulk purchasing often yields discounts; unit construction costs (per square foot) may decline with scale.
  • Utilisation of by-products - large firms can use or sell by-products that small firms might waste (for example, molasses or bagasse in sugar production).
  • Growth of auxiliary facilities - large-scale production can attract or support better transport, warehousing, repair and marketing services.

Diseconomies of Scale (Increasing LAC)

At sufficiently large scales, disadvantages may arise that increase average cost. Principal reasons include:

  • Management and coordination problems - as organisations grow, decision-making becomes slower, communication costs rise and the marginal productivity of management may fall.
  • Competition for scarce resources - large firms may bid up wages or input prices in local labour or input markets, raising unit costs.

The combined effect of economies and diseconomies determines the overall shape of LAC. There are three commonly discussed forms:

  • LAC slopes up quickly after a small output (when diseconomies dominate early) - see Panel A.
  • LAC slopes down or stays flat over a wide range (large economies of scale) - typical of natural monopolies - see Panel B.
  • LAC is largely flat for a broad range of output (constant returns to scale over that range) - see Panel C.
Diseconomies of Scale (Increasing LAC)

In practice many industries show a mixture: initial falling LAC (economies), a long flat region (constant returns), and rising LAC at very large scale (diseconomies).

Average Cost in the Long Run: The Envelope (Smooth) Case

In the short run the firm must operate with a fixed plant and so faces a particular short-run average cost curve (SAC). If the firm is planning, it can choose among many possible plant sizes; each plant has its own SAC (typically U-shaped). The long-run average cost curve (LAC) is the lower envelope of all possible SAC curves: for each output level the firm picks the plant whose SAC gives the lowest average cost.

Average Cost in the Long Run: The Envelope (Smooth) Case

For example, if three plant sizes I, II and III have SAC curves that are lowest in different ranges, the LAC will follow the lowest portions of these SACs: Plant I's SAC for low output, Plant II's SAC for intermediate output, and Plant III's SAC for high output. If there is a continuum of plant sizes available, the envelope becomes smooth. Samuelson describes the long‐run choice as selecting the plant that yields the lower envelope curve; with many possible choices the LAC is a smooth curve.

Average Cost in the Long Run: The Envelope (Smooth) Case

In the smooth envelope case, one can derive LMC from LAC; LMC intersects LAC at its minimum and tends to be smoother than the short-run MC curves associated with individual plants.

Key Concepts and Practical Applications

  • Shut-down point: The minimum point of the AVC curve; below this output the firm cannot cover variable costs and should temporarily shut down in the short run.
  • Break-even point: The minimum point of the ATC curve; at this output the firm covers both fixed and variable costs and earns zero economic profit.
  • Policy and managerial use: Understanding these cost curves helps managers decide plant size, pricing at different output ranges, and whether to expand or contract production. For governments and regulators, knowledge of LAC shapes aids decisions on natural monopoly regulation and industrial policy.
  • Marginal analysis: Since many decisions are governed by marginal criteria (e.g., produce where MR = MC), recognising that MC is independent of sunk fixed cost is crucial: sunk costs should not affect marginal decisions.

Summary (optional): Short-run cost analysis distinguishes fixed and variable costs and gives rise to AFC, AVC, ATC and MC curves, with MC intersecting AVC and ATC at their minima. In the long run all inputs are variable; the firm chooses least-cost input combinations yielding the expansion path and the long-run total and average cost curves. The LAC reflects economies and diseconomies of scale and is the lower envelope of short-run average cost curves.

The document Short Run & Long Run Cost Curves - Cost Function Analysis, Business Economics & Finance is a part of the UGC NET Course Crash Course for UGC NET Commerce.
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FAQs on Short Run & Long Run Cost Curves - Cost Function Analysis, Business Economics & Finance

1. What is the difference between short run and long run cost curves in cost function analysis?
Ans. In cost function analysis, the short run cost curves and long run cost curves represent the relationship between the cost of production and the level of output. The main difference between the two is the time period they consider. In the short run, some inputs are fixed and cannot be adjusted, such as capital or plant size. This means that the firm can only vary certain inputs, like labor or raw materials, to increase or decrease production. As a result, the short run cost curves are U-shaped, with a diminishing marginal product of labor and increasing marginal cost. In contrast, the long run allows for all inputs to be adjusted. Firms can change their plant size, equipment, labor force, and other inputs to optimize production. This flexibility leads to long run cost curves that are flatter than short run curves, as the firm can choose the most efficient combination of inputs.
2. How are short run and long run cost curves related to business economics and finance?
Ans. Short run and long run cost curves are important concepts in business economics and finance as they help firms make decisions regarding production and cost management. By analyzing short run cost curves, firms can determine the optimal level of output and the corresponding cost of production. This information is crucial for pricing decisions, as firms need to ensure that their prices cover their costs and allow for profit. Additionally, short run cost curves help firms identify economies of scale, where increasing production leads to lower average costs, or diseconomies of scale, where increasing production leads to higher average costs. Long run cost curves, on the other hand, provide insights into the cost structure and efficiency of firms over a longer time horizon. They enable firms to assess the impact of changes in input prices, technological advancements, and market conditions on their cost of production. This knowledge helps firms make strategic decisions, such as investing in new technology or expanding their operations, to optimize their long run cost structure and stay competitive.
3. How can cost function analysis be applied in business decision-making?
Ans. Cost function analysis is a valuable tool in business decision-making as it provides insights into the cost structure of a firm and helps in determining the optimal level of production. By analyzing cost functions, firms can identify the different types of costs involved in production, such as fixed costs, variable costs, and marginal costs. This information is crucial for pricing decisions, as firms need to cover their total costs and ensure profitability. Cost function analysis also helps firms identify cost drivers and cost behavior. For example, it can reveal the relationship between the level of output and the cost of labor, raw materials, or other inputs. This knowledge allows firms to make informed decisions regarding production processes, input procurement, and cost management. Furthermore, cost function analysis enables firms to assess the impact of changes in input prices, technological advancements, or market conditions on their cost structure. This information helps in strategic decision-making, such as determining the optimal scale of operations, evaluating the feasibility of new projects, or identifying cost-saving opportunities.
4. What are some factors that can cause shifts in short run and long run cost curves?
Ans. Short run and long run cost curves can shift due to various factors that impact the cost structure of a firm. Some factors that can cause shifts in short run cost curves include changes in input prices, such as the cost of labor or raw materials. An increase in input prices would shift the short run cost curves upward, leading to higher average costs and marginal costs. Changes in technology can also impact short run cost curves. Technological advancements that improve productivity or reduce the cost of production can shift the curves downward, resulting in lower average costs and marginal costs. In the long run, shifts in cost curves can be caused by changes in the scale of operations. For example, if a firm decides to expand its plant size or invest in new technology, it can lead to lower average costs and shift the long run cost curves downward. Changes in market conditions, such as increased competition or changes in demand, can also have an impact on both short run and long run cost curves. If demand decreases, firms may need to reduce production, leading to higher average costs and shifting the cost curves upward.
5. What are some limitations of cost function analysis in business economics and finance?
Ans. While cost function analysis is a useful tool in business economics and finance, it has certain limitations that should be considered. One limitation is that cost function analysis assumes a ceteris paribus (other things being equal) condition. It assumes that all other factors affecting costs remain constant, which may not be the case in the real world. Changes in market conditions, input prices, or technology can significantly impact costs and invalidate the assumptions of cost function analysis. Another limitation is that cost function analysis focuses primarily on the relationship between costs and output, neglecting other important factors like quality, customer preferences, and market dynamics. These factors can have a significant impact on a firm's profitability and competitiveness, but they are not captured by cost function analysis alone. Additionally, cost function analysis relies on historical data and assumes that the relationships observed in the past will hold in the future. However, changes in technology, market conditions, or firm strategies can render historical cost data less relevant. Lastly, cost function analysis may not account for externalities or social costs associated with production. For example, environmental costs or the impact on the community may not be fully captured in the analysis, leading to an incomplete assessment of the true costs of production.
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