determinants of supply

Determinants of Supply (Cambridge AS & A Level – 9708)

In the supply model the quantity supplied at any given price is influenced by a number of non‑price factors. A change in any of these factors shifts the whole supply curve:

  • Right‑hand shift = increase in supply (more is supplied at every price).
  • Left‑hand shift = decrease in supply (less is supplied at every price).

1. Price Elasticity of Supply (PES)

Definition: PES measures the responsiveness of quantity supplied to a change in the product’s own price.

Percentage‑change formula \[ E_s \;=\; \frac{\%\Delta Q_s}{\%\Delta P} \]
Δ‑form (used in exam calculations) \[ E_s \;=\; \frac{\Delta Q_s / Q_s}{\Delta P / P} \]

1.1 Worked example

Scenario P₁ P₂ Q₁ Q₂ ΔP % ΔQₛ % PES (Eₛ)
Price rises from £10 to £12; quantity supplied rises from 200 to 240. 10 12 200 240 +20 % +20 % 1.0 (unit‑elastic)
Price falls from £8 to £6; quantity supplied falls from 150 to 120. 8 6 150 120 ‑25 % ‑20 % 0.8 (inelastic)

1.2 Interpreting the coefficient

  • |Eₛ| > 1 – supply is elastic; quantity supplied changes proportionally more than price.
  • |Eₛ| = 1 – supply is unit‑elastic.
  • |Eₛ| < 1 – supply is inelastic; quantity supplied is relatively insensitive to price.
  • Eₛ = 0 – perfectly inelastic (fixed quantity, e.g., a unique artwork).
  • Eₛ → ∞ – perfectly elastic (producers will supply any amount at a given price, typical of a perfectly competitive market with excess capacity).

1.3 Why PES matters for the syllabus

  • It determines the magnitude of the change in producer surplus when price moves.
  • It influences the incidence of taxes and subsidies – the more elastic the supply, the larger the burden on producers.
  • It helps predict the speed of market adjustment after a shock (e.g., natural disaster, policy change).

2. Core Determinants of Supply (Cambridge Syllabus)

  1. Input (factor) prices – cost of raw materials, labour, energy, etc.
  2. Technology – innovations that reduce the cost of production or increase output per unit input.
  3. Expectations of future prices – producers’ forecasts about where the market price will be.
  4. Number of sellers – entry of new firms or exit of existing ones.
  5. Taxes and subsidies – per‑unit taxes, licences, or government payments.
  6. Prices of related goods (production substitutes & complements) – e.g., corn vs. wheat.
  7. Government regulations – licences, quotas, health & safety or environmental standards.
  8. Natural conditions – weather, disease, seasonal cycles (mainly for agricultural products).

3. Effect of Each Determinant on the Supply Curve

Determinant Direction of shift Reasoning (example)
Input prices Higher → left; Lower → right Rise in steel price makes car production more costly, so fewer cars are supplied at each price.
Technology Improvement → right; Regression → left Automated looms cut labour per shirt, allowing more shirts to be produced at the same cost.
Expectations of future prices Higher expected future price → left (producers hold back); Lower expected future price → right Farmers store wheat when they expect a price rise next season, reducing current market supply.
Number of sellers More firms → right; Fewer firms → left A new bakery enters the market, increasing total bread supply.
Taxes (per‑unit) Higher tax → left; Tax cut → right A £0.50 excise tax on cigarettes raises marginal cost, reducing quantity supplied.
Subsidies (per‑unit) Grant → right; Removal → left Government pays £0.30 per litre of bio‑fuel, encouraging firms to expand output.
Prices of related goods (production substitutes) Higher price of alternative → right for original; Lower price → left If soybeans become more profitable, farmers shift land from wheat to soy, lowering wheat supply.
Government regulations Stricter → left; Deregulation → right New emissions standards raise steel‑plant costs, reducing steel supply.
Natural conditions Favourable → right; Adverse → left A drought cuts the rice harvest, shifting the rice supply curve leftward.

4. Supply‑function notation (Cambridge style)

The market‑wide supply relationship can be written as a multivariate function:

\[ Q_s \;=\; f\big(P,\;P_{inputs},\;T,\;E,\;N,\;R,\;G\big) \]
  • Qₛ – quantity supplied.
  • P – own‑price of the product.
  • Pinputs – vector of input (factor) prices.
  • T – level of technology.
  • E – expectations of future prices.
  • N – number of sellers.
  • R – prices of related goods (production substitutes/complements).
  • G – government policy variables (taxes, subsidies, regulations).

5. Diagramming Supply Shifts – exam tip

When a question asks you to illustrate a change:

  1. Draw price (vertical) against quantity (horizontal).
  2. Label the original curve S₁ and the new curve S₂.
  3. Use a clear arrow to show the direction of the shift and write the determinant beside it (e.g., “technological improvement”).
  4. Mark the original equilibrium (P₁, Q₁) and the new equilibrium (P₂, Q₂).
  5. Under the diagram, write a concise paragraph: state the determinant, describe the shift, and explain the resulting change in equilibrium price and quantity.

6. Key Take‑aways

  1. Any factor that changes production cost or the profitability of supplying a good shifts the entire supply curve.
  2. Rightward shift = increase in supply; leftward shift = decrease in supply.
  3. Price elasticity of supply quantifies how sensitive quantity supplied is to price changes – essential for analysing tax incidence, subsidy impact and adjustment speed.
  4. For exam success you must be able to:
    • Identify the relevant determinant from a real‑world scenario.
    • State the direction of the shift and give a brief economic rationale.
    • Calculate and interpret PES using the percentage‑change formula.
    • Draw a clear, correctly labelled supply‑shift diagram.

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