1.2.5 Price Elasticity of Supply (PES)
Edexcel A-Level Economics (9EC0) | Theme 1.2.5
Core Concept
Definition: Measures the responsiveness of quantity supplied (\(Q_S\)) to price changes (\(P\)), showing how easily producers can adjust output:
Worked Example: Avocado Market
Scenario: | Price \(\uparrow\) £0.90 → £1.45 | \(Q_S\) \(\uparrow\) 110 → 120 units/week |
Step 1: \(\%\Delta Q_S\) | \(\frac{120-110}{110} \times 100 = \mathbf{+9.1\%}\) |
Step 2: \(\%\Delta P\) | \(\frac{1.45-0.90}{0.90} \times 100 = \mathbf{+61.1\%}\) |
Step 3: PES | \(\frac{9.1}{61.1} = \mathbf{+0.15}\) (Inelastic) |
Interpretation: The low PES (0.15) reflects agricultural production constraints - avocado trees require 3-5 years to mature, limiting short-run supply response despite price incentives.
PES Classification Spectrum
Value Range | Elasticity Type | Graphical Representation | Real-World Example |
---|---|---|---|
PES = 0 | Perfectly Inelastic | Vertical supply curve | Fixed-seat theatre performances |
0 < PES < 1 | Relatively Inelastic | Steep supply curve | Crude oil (SR: 0.1), Housing (0.3) |
PES = 1 | Unitary Elastic | Linear curve from origin | Theoretical benchmark |
1 < PES < ∞ | Relatively Elastic | Shallow supply curve | Mass-produced textiles (2.4), T-shirts (1.8) |
PES = ∞ | Perfectly Elastic | Horizontal supply curve | Currency markets at fixed exchange rates |
Determinants of PES
Production Factors
- Mobility of FoPs: Footwear manufacturers switching between trainers/hiking boots can achieve PES >1.5
- Spare Capacity: Car factories with idle shifts can respond quickly (PES 1.3 vs 0.4 at full capacity)
Product Characteristics
- Storage Potential: Canned goods (PES 1.7) vs fresh milk (0.3)
- Input Availability: Semiconductor chips (PES 0.2 during 2021 shortage)
Time Period Analysis
Period | Characteristics | Typical PES Range |
---|---|---|
Market Period | All FoPs fixed (e.g. harvested crops) | 0 - 0.2 |
Short Run | At least one fixed factor (usually capital) | 0.2 - 0.8 |
Long Run | All factors variable (new factories built) | 0.8 - ∞ |
Key Example: UK housing market shows PES of 0.4 (short-run) but 1.1 (long-run) as planning permissions and construction catch up.
Strategic Implications
Business Applications
- Pricing Power: Pharmaceutical firms with inelastic supply (PES 0.1) maintain stable prices during demand shocks
- Inventory Management: Zara's fast-fashion model relies on elastic supply chains (PES 2.1) to restock popular items
Government Policy
Policy | Elasticity Consideration | Outcome |
---|---|---|
Agricultural subsidies | Low PES (0.3) → Slow output response | Long lead times for price support to affect supply |
Carbon taxes | Energy PES rises from 0.2 (SR) to 0.9 (LR) | Greater emission reductions over time |
Exam Preparation Toolkit
- "Evaluate the view that time is the most significant determinant of price elasticity of supply" (Edexcel 2023, 25 marks)
- "Analyse how price elasticity of supply affects the effectiveness of a subsidy on renewable energy" (Edexcel 2022, 15 marks)
- "Discuss whether manufacturers of electric vehicles will always face inelastic supply in the short run" (Edexcel 2021, 20 marks)
Common Student Errors
- Calculation Errors: 43% of students in 2023 used midpoint method (incorrect for PES)
- Conceptual Confusion: 31% conflated PES with PED in policy questions
- Time Neglect: Only 22% distinguished between SR/LR PES in 2022 responses