Production, productivity and business costs (1.2.1-1.2.3)

Pearson Edexcel International GCSE in Economics (4EC1), specification Issue 3, February 2026. This topic covers spec sections 1.2.1–1.2.3 in full: production (three rows), productivity and division of labour (four rows) and business costs, revenues and profit (three rows). Worked numbers are original and re-derived below.

Must-know for this topic:

The factors of production 生产要素 are LAND (natural resources), LABOUR (human effort), CAPITAL (man-made aids to production) and ENTERPRISE (the risk-taking organiser) (1.2.1a). The economy's sectors (1.2.1b): PRIMARY (extracting: farming, fishing, mining), SECONDARY (manufacturing and construction) and TERTIARY (services). Their importance CHANGES over time (1.2.1c): as economies develop, employment and output shift from primary to secondary to tertiary — developed economies are service-dominated; the deindustrialisation of old manufacturing regions is the same shift seen from the other side.

Productivity 生产率 is output per unit of input (1.2.2a) — for labour, items per worker-hour. Productivity rises 25% when output per worker-hour goes from 8 to 10: $\tfrac{10 - 8}{8} \times 100 = 25\%$. Factors affecting productivity (1.2.2b): LAND — fertiliser, drainage, irrigation, land reclamation; LABOUR — quality of labour through education and training (human capital) and the impact of migration; CAPITAL — more capital and technological advances. The division of labour 劳动分工 is specialisation, with each worker repeating one task in the production process (1.2.2c). Advantages (1.2.2d): workers become quick at their task (higher productivity), less time is lost switching tasks, and training is cheaper per task. Disadvantages: the work becomes boring (low morale, high staff turnover), workers' skills narrow, and interdependence means one hold-up stops the whole line — and over-standardised output risks unemployment if that one product's demand falls.

Revenue (1.2.3a): TR $= P \times Q$; AR $= TR/Q$ (the demand curve — AR $P = 70 - Q/2$); MR $= \Delta TR/\Delta Q$ (here $70 - Q$); at $Q = 40$ with price 50, TR $= 2000$; TR peaks at 2450 where $Q = 70$.

Costs (1.2.3a): the original table with TFC $= 12$ and TVC $= 5, 9, 12, 14, 17, 21, 26, 32, 39$ for $Q = 1 \ldots 9$ gives MC $= 5, 4, 3, 2, 3, 4, 5, 6, 7$ (falling then rising — specialisation first, diminishing returns later); AVC $= TVC/Q$ with minimum 3.4 at $Q = 5$; ATC $= TC/Q$ with minimum 5.43 at $Q = 7$. ATC and AVC converge as output grows because AFC $= 12/Q$ shrinks. PROFIT $= TR - TC$.

Economies of scale 规模经济 are falling long-run average costs as output grows (1.2.3b). INTERNAL economies (inside the firm): purchasing (bulk buying), marketing (advertising spread over more units), technical (larger machines), financial (cheaper borrowing), managerial (specialist managers), risk bearing (a wider product range). EXTERNAL economies (industry-wide): skilled labour in the area, infrastructure, access to suppliers, similar businesses clustering. Diseconomies of scale 规模不经济 are rising LRAC (1.2.3c): bureaucracy, communication problems, lack of control, and the distance between top management and workers at the bottom. The LRAC diagram (1.2.3c) shows internal economies as the falling section, the MOST EFFICIENT POINT at minimum LRAC, and diseconomies on the rising section.

Extract. BYD, a Chinese car maker, sold about 3.0 million electric and hybrid vehicles in 2023 and about 4.3 million in 2024. It makes many of its own parts, including batteries, chips and motors, in very large factories. Buying materials in bulk and spreading the cost of research and factories over millions of cars helped BYD cut its prices; in 2024 its cheapest electric car sold in China for under 70,000 yuan. Running dozens of factories and hundreds of thousands of workers also brings problems of communication and control.

Table: illustrative costs of a car maker

Questions

• (a) Calculate the percentage increase in BYD's sales between 2023 and 2024. [2]
• (b) Using the table, calculate the average cost per car at each output. [3]
• (c) Explain two internal economies of scale that BYD may gain. [4]
• (d) Explain one diseconomy of scale that BYD may suffer. [2]
• (e) Evaluate whether large firms are always more efficient than small firms. [9]

Model answers

(a) $\tfrac{4.3 - 3.0}{3.0} \times 100 \approx 43\%$.

(b) Average cost $= \tfrac{\text{total cost}}{\text{output}}$. At 1,000 thousand cars: $\tfrac{25{,}000 \text{ million}}{1 \text{ million}} = \$25{,}000$. At 3,000 thousand: $\tfrac{66{,}000}{3} = \$22{,}000$. At 4,300 thousand: $\tfrac{86{,}000}{4.3} = \$20{,}000$. Average cost falls as output rises: economies of scale.

(c) Purchasing economies: BYD buys materials such as steel and lithium in huge amounts, so suppliers give it lower prices per unit. Technical economies: very large factories can use expensive automated machines and production lines, which are only worth buying at high output; making its own batteries also spreads the cost of battery research over millions of cars. (Other answers: financial economies, as large firms borrow more cheaply; marketing economies, as advertising costs are spread over more cars.)

(d) Communication and control problems: with many factories and hundreds of thousands of workers, messages pass through many layers of managers. Decisions become slow and mistakes are harder to spot, which can raise average cost.

(e) Large firms can be more efficient: economies of scale lower average cost, as the table shows ($25,000 down to $20,000 per car). Large firms can afford research and new technology, and they can borrow more cheaply.

But not always: beyond a certain size, diseconomies of scale (slow communication, low worker motivation, weak control) can make average cost rise again. Small firms are flexible, can change quickly and know their customers personally. In some markets the market is small or customers want personal service (a local hairdresser or a specialist bakery), so there is no room for a very large firm to gain economies of scale. Large firms with market power may also face little pressure to keep costs down.

Judgement: large firms are usually more efficient in industries with high fixed costs and mass markets, such as car making, where economies of scale are large. They are not always more efficient: it depends on the industry, the size of the market and whether the firm has grown past its most efficient size. Many industries have both large firms and successful small ones.

What examiners reward: average cost calculated as total cost divided by output with units, economies of scale named and linked to the firm in the extract, and an evaluation that recognises diseconomies and the size of the market.

• The four factors of production (1.2.1a).
• The three sectors and how their importance shifts with development (1.2.1b–c).
• Productivity definition with the 25% calculation; its factors by land, labour and capital (1.2.2a–b).
• Division of labour with advantages and disadvantages for workers and businesses (1.2.2c–d).
• TR, AR, MR with the shared model's numbers (1.2.3a).
• TFC, TVC, TC, AVC, ATC and the table's minima; profit = TR − TC (1.2.3a).
• Economies of scale: the six internal and four external types; the four diseconomies; the LRAC diagram with the most efficient point (1.2.3b–c).

Boundary notes: Paper 1 data questions reward the table arithmetic above — ATC to 2 decimal places where needed. The six internal economies are a learned list (purchasing, marketing, technical, financial, managerial, risk bearing). All worked numbers are original.