HSC Geography · People, Patterns & Processes · 7.5

Patterns of Economic Activity — Industrial Production

The teaching lesson · why the map of world manufacturing keeps shifting · NESA Stage 6 (2022)
Laptops away · this deck is your lesson — copy the ✍️ slides into your notebook
By the end of this lesson

What you will be able to do

  • Define industrial production and place it in the sectors of the economy.
  • Describe the changing spatial pattern of world manufacturing using a map and statistics.
  • Explain the factors that pull manufacturing between regions — labour, technology, markets, policy.
  • Examine two contrasting case studies — the US Rust Belt (decline) and Zhengzhou (growth).
  • Define & use the new international division of labour (NIDL) to explain the shift.
  • Apply map, graph & statistics skills, and structure an extended response.
This lesson at a glance
  • 4 manufacturing zones
  • 2 case studies (decline & growth)
  • 1 process: the NIDL
  • 1 essay + scaffold
A modern automated factory.
Robot car assembly — high-tech manufacturing.
📘 Syllabus: Spatial patterns & processes of economic activity — industrial production🧭 Skill: Maps · Graphs · Statistics
7.5.1 · What is it?

Manufacturing = the secondary sector

Industrial production (manufacturing) — the transformation of raw materials and components into finished or semi-finished goods, using labour, machinery and energy.

It is the secondary sector. The primary sector extracts or grows raw materials — iron ore, oil, cotton, timber, crops. The secondary sector transforms them into steel, cars, phones, clothing, chemicals and processed food. The tertiary sector (services) then sells and moves them.

Three inputs are always needed:

  • Labour — workers and their skills (cost varies hugely between countries).
  • Machinery & technology — factories, tools and increasingly robots.
  • Energy — electricity and fuel to run it all.

Two big truths about the map: manufacturing has never been spread evenly (it always clusters), and its map is not fixed — over ~50 years it has shifted from the West to emerging Asia.

Raw material — iron ore (primary-sector input).
Finished good — a circuit board (secondary output).
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📘 Syllabus: Industrial production as an economic activity🧭 Skill: Statistics — sectors of the economy
7.5.1 · The numbers & the four drivers

A shifting balance of output

15–17%of global GDP is manufacturingChinathe world's #1 manufacturer by output26–28%of China's own GDP is manufacturingWest ↓developed nations' share is falling

Read the numbers: manufacturing is only ~15–17% of global GDP (World Bank) — a minority, because services dominate rich economies. But China is now the world's largest manufacturer by output (it overtook the USA around 2010), and manufacturing is ~26–28% of China's own GDP — far higher than the West's ~10–12%. In high-income countries the share is stable-to-falling. Quote figures as approximate and name the source.

Four factors decide WHERE manufacturing locates
  • Labour costs — cheaper wages pull factories in
  • Technology — automation & skilled workers
  • Markets & materials — near buyers, ports or resources
  • Government policy — tax breaks, trade rules, special zones
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📘 Syllabus: Factors influencing the location of manufacturing🧭 Skill: Statistics — % of GDP; reading graphs
7.5.2 · Read the data

The world's top manufacturers

#CountryOutput (value added)% of world
1China$4.66 tn27.7%
2United States$2.91 tn17.3%
3Japan$867 bn5.2%
4Germany$830 bn4.9%
5India$490 bn2.9%
6South Korea$416 bn2.5%
7Mexico$364 bn2.2%
8Italy$345 bn2.1%
Source: World Bank / UN Statistics Division, 2024 (approximate — verify before assessment). established Western   emerging economy
China alone makes ~28% of the world's manufactured goods — more than the USA, Japan & Germany combined.
What the table shows
  • China dominates — the shift East in one number
  • USA still #2 — decline is relative, not total
  • India, S Korea, Mexico — rising emerging economies
  • Old European cores slipping down the list
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📘 Syllabus: Spatial pattern of industrial production — reading data🧭 Skill: Statistics — ranking, % of total; interpreting a table
7.5.1

The changing map of manufacturing

7.5.2 · Where manufacturing concentrates

Four zones dominate the world map

1234THE FOUR GREAT CLUSTERS1 · North America2 · Europe (Blue Banana)3 · East Asia4 · South Asia

Despite globalisation, manufacturing is highly concentrated. Four zones make most of the world's goods:

  1. North America — the NE & Great Lakes "Manufacturing Belt", plus newer growth in the US South & Mexico.
  2. Europe — the "Blue Banana", an arc from England → Benelux → the Rhinelands → N Italy.
  3. East Asia — China, Japan & South Korea: the largest region.
  4. South Asia — India & neighbours: the fastest-growing.

What they share: mid-latitude locations, coasts & ports, large cities & markets, skilled labour, energy and capital.

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📘 Syllabus: The spatial pattern of industrial production🧭 Skill: Maps — describing distribution & concentration
7.5.2 · …and how they differ

The four clusters compared

1 · North America

Historic core = NE & Great Lakes "Manufacturing Belt"; now diversified, with growth in the US South & Mexico. Signature: cars, aerospace, machinery.

2 · NW / Central Europe

The "Blue Banana" — England → Benelux → German Rhinelands → N Italy. Signature: high-value machinery, vehicles, chemicals, precision goods.

3 · East Asia

China, Japan & S Korea — the world's largest region. Signature: electronics, vehicles, shipbuilding, steel at massive scale.

4 · South Asia

India & neighbours — fastest-growing. Signature: textiles, pharmaceuticals, vehicles, increasingly electronics.

N. America · vehicles
Europe · precision & logistics
East Asia · electronics
South Asia · textiles
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📘 Syllabus: The spatial pattern & its regional differences🧭 Skill: Maps · describing places
7.5.2 · Think

Reflect & discuss

🤔 Reflect & discuss

All four zones cluster in the Northern-Hemisphere mid-latitudes, not spread evenly. Suggest two reasons manufacturing concentrates there — and one reason a region might lose its cluster over time.

✍️ How to build your answer
  1. State your view in one sentence.
  2. Give a reason (a “… because …”).
  3. Support it with an example.
  4. Note the other side, then conclude.
Think about: trade history, coasts & ports, big local markets, skilled workforces — and what happens when costs rise or technology changes.
7.5.3

How manufacturing evolved

7.5.3 · From workshops to the world

How goods are made changes where they are made

1Craftworkshops
Hand-made, near the buyer.
2IndustrialRevolution
Steam, factories, coalfields.
3Massproduction
Assembly lines, standard parts.
4Automatednetworks
Robots + global parts.
Automation — using machines and robots to do work once done by people — it raises output but cuts factory jobs.

Each stage changed the geography: craft workshops sat near the buyer; the Industrial Revolution tied factories to coalfields & ports; mass production favoured big cities with cheap land & labour; today's automated, globally-networked production lets firms locate almost anywhere and ship parts worldwide.

Two changes matter most for the map: automation (fewer workers per unit) and global supply chains (a single product's parts cross many borders before assembly).

Then — a 19th-century factory.
Now — automated, networked production.
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📘 Syllabus: How & why the pattern changes over time🧭 Skill: Timelines · Statistics
7.5.4 · Case study

The US "Rust Belt" — decline

7.5.4 · Case study explored

The Manufacturing Belt becomes the Rust Belt

The north-east USA & Great Lakes were the country's industrial heartland — the "Manufacturing Belt" — booming on steel & cars into the mid-1900s. Cities like Detroit, Pittsburgh, Cleveland & Buffalo grew rich on heavy industry.

From the 1970s it went into steep decline — deindustrialisation. Three causes worked together:

  • Automation — machines replaced many factory workers.
  • Foreign competition — cheaper steel & cars from Japan, then China.
  • Offshoring — firms moved production to low-wage countries.

Consequences: mass job losses, falling city populations, and "hollowed-out" towns full of derelict factories and abandoned homes — the "rust".

A derelict Rust Belt factory.
Urban decay — an abandoned home.
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📘 Syllabus: Case study of a place — deindustrialisation🧭 Skill: Statistics — employment change over time
7.5.4 · Watch (≈ 4 min)

Why the Rust Belt collapsed

▶ Watch: Why The Rust Belt Collapsed — The Why Minutes (click → opens on YouTube)

As you watch, note one cause and one consequence of the decline for your notebook.

7.5.4 · Think

Reflect & discuss

🤔 Reflect & discuss

Deindustrialisation brought real hardship to Rust Belt communities. Whose responsibility is it to help a region when its industry moves overseas — the companies, the government, or no-one? Justify your view.

✍️ How to build your answer
  1. State your view in one sentence.
  2. Give a reason (a “… because …”).
  3. Support it with an example.
  4. Note the other side, then conclude.
Consider: firms moved for profit; governments set the trade & retraining rules; workers had little say — argue a position with a reason.
7.5.5 · Case study

Zhengzhou — "iPhone City" — growth

7.5.5 · Case study explored

The other side of the same shift

Zhengzhou, in Henan Province, central China, shows where manufacturing moved to. Its huge Foxconn complex — nicknamed "iPhone City" — assembles the bulk of the world's iPhones, employing around 200,000 workers at peak, with its own dormitories, canteens and shops.

Why here?

  • Government incentives — tax breaks, land and a special economic zone.
  • A huge pool of low-cost labour.
  • Rural→urban migration supplying millions of workers to the cities.

One factory-city captures how jobs and output shifted to emerging Asia as they left the West — the mirror image of the Rust Belt.

Electronics assembly — Zhengzhou.
The product: consumer electronics for export.
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📘 Syllabus: Case study of a contrasting place — industrialisation🧭 Skill: Statistics — scale; Maps
7.5.5 · Watch (≈ 5 min)

Inside "iPhone City"

▶ Watch: Apple Wants to Recreate Its 'iPhone City' Supply Chain Outside China — The Wall Street Journal (click → opens on YouTube)

Note why so much production concentrated in one Chinese city — and why Apple now wants to spread it out.

7.5.5 · Compare

Two sides of one global shift

Rust Belt — decline

The West · an older core · jobs lost to automation & offshoring · population fell.

Zhengzhou — growth

Emerging Asia · a new hub · jobs gained from the same shift · population grew.

🤔 Reflect & discuss

They are two ends of the same process. What does comparing them reveal that studying either place alone would miss?

One region loses…
…another gains — the same shift.
7.5.6

The process behind the map

7.5.6 · The engine of the shift

The New International Division of Labour

CORE — high-incomeHead office · R&DDesign · branding · financeKeeps most of the profitPERIPHERY — low-wageAssembly & factoriesCheap, plentiful labourEarns low wagesproduction offshored →← finished goods shipped in containersEnabled by globalisation · cheap container shipping · instant communication
NIDL — transnational companies (TNCs) split production across the globe — keeping design, R&D, branding & profit in high-income “core” countries, and moving assembly to low-wage “periphery” countries.

A phone might be designed in California, use chips from Taiwan & South Korea, be assembled in China, and sold worldwide. The core keeps the high-value work (and most of the profit); the periphery does the labour-intensive assembly.

Enabled by: globalisation, cheap container shipping, and instant communication.

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📘 Syllabus: Processes producing & changing the spatial pattern🧭 Skill: Diagrams · Statistics
7.5.6 · Think

Reflect & discuss

🤔 Reflect & discuss

The NIDL gives consumers cheap goods, but can mean low wages and poor conditions for the workers who assemble them. Is the global factory system fair? Argue one side with a reason.

✍️ How to build your answer
  1. State your view in one sentence.
  2. Give a reason (a “… because …”).
  3. Support it with an example.
  4. Note the other side, then conclude.
Weigh it up: cheaper goods & new jobs for developing countries, versus low pay, weak safety and pollution. Use a real example.
Putting it together

Extended response & scaffold

"Explain how the spatial pattern of manufacturing has changed over the past 50 years, and analyse the processes that produced this change." (~600 words)

Introduction — define manufacturing; state the change (West → emerging Asia).
Body 1 — the pattern: the four clusters & the shift — use the map and statistics (15–17% GDP; China #1).
Body 2 — the processes: labour costs, automation, the NIDL and globalisation.
Body 3 — the effects: contrast Rust Belt decline with Zhengzhou growth (both case studies).
Conclusion — synthesise: pattern → process → change; link to interconnection & change.
📘 Syllabus: Extended response — pattern, process, change🧭 Skill: Writing geographically · using evidence
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Before you go

Key terms — learn these

Industrial production
raw materials → finished goods (secondary sector)
Manufacturing / Rust Belt
the NE-US industrial core, and its later decline
Blue Banana
western Europe's dense industrial arc
Deindustrialisation
the loss of manufacturing from a region
Automation
machines & robots replacing human labour
NIDL
the global split of production by cost
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End of 7.5

Recap

The map of manufacturing shifted West → emerging Asia · four clusters · driven by labour cost, automation & the NIDL · Rust Belt decline vs Zhengzhou growth. Revise with the study guide and activity sheet.
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