World Manufacturing Industry

World Coal Geography already names the Ruhr as the classic coalfield that anchored a whole regional steel industry; this note does not repeat that, and covers instead the general theory of why an industry locates where it does, and the world's other classic named industrial regions built on the same logic.

Weber's least-cost theory of industrial location

Alfred Weber's 1909 model asks a single, precise question: for a given industry, where does the total cost of assembling raw materials, running the factory and distributing the finished product actually come out lowest, and it answers it chiefly through transport cost. The key tool Weber built for this is the material index, the ratio of the weight of the localised raw materials an industry consumes to the weight of its finished product.

Where the material index is greater than one, the industry is weight-losing: it consumes more raw material weight than the finished product weighs, because a large share of the raw material is lost as waste during processing. Iron and steel manufacturing is the standard example, since a large tonnage of iron ore and coking coal is refined down into a much lighter tonnage of finished steel; sugar refining and cement manufacture work the same way. Because it is far cheaper to transport a smaller volume of finished product a long distance than to transport a larger volume of raw material the same distance, weight-losing industries locate at or very near their raw material source, which is exactly the logic behind the Ruhr's own steel industry sitting directly on its coalfield.

Where the material index is close to one, the raw material and finished product weigh roughly the same, and transport cost stops being the deciding factor at all. This produces a footloose industry, one that can locate almost anywhere without a significant transport-cost penalty, since neither pulling toward the raw material nor toward the market offers much advantage. Modern electronics and software industries are the clearest present-day examples: a microchip is light, high in value relative to its weight, and cheap to ship by air freight even across very long distances, so labour cost, skilled workforce availability and the benefit of clustering near other similar firms (agglomeration) end up mattering far more than transport cost in deciding where such an industry actually locates, which is exactly why electronics and software firms cluster into named hubs (Silicon Valley being the standard example) rather than spreading out evenly the way a steel industry does around its ore deposits.

Where the material index is less than one, meaning the finished product is heavier or bulkier than the raw materials that go into it, most commonly because the product gains weight from a widely available input like water, the industry instead locates near its market. Bread and beverage bottling are the standard examples: water is available almost everywhere, so there is no raw-material-location advantage to chase, and locating near the consumer minimises the cost of shipping the bulkier finished product.

The world's classic named industrial regions

Beyond the Ruhr, several other regions are named often enough in this chapter's own tradition to hold as a fixed list, each historically built on the same raw-material-orientation logic Weber's theory describes, even where it has since evolved well beyond it. The Great Lakes/Pittsburgh region of the United States grew as the country's classic heavy-industry and steel belt, sited to draw on nearby coal and iron ore and on cheap lake transport for both; as manufacturing there declined from the later twentieth century onward, it came to be known as the American Rust Belt, and much of that same activity, along with newer light manufacturing, shifted toward the warmer, lower-cost Sun Belt states of the American South and West. Japan's Kanto and Kansai regions, centred on Tokyo and Osaka respectively, are the country's own two dominant industrial belts, built despite Japan's own scarcity of domestic raw materials, entirely on imported ore and fuel landed at coastal ports and processed close to where they arrive, a genuinely different location logic from the Ruhr's or Pittsburgh's own on-the-spot raw material advantage. China's Guangdong province and the wider Yangtze River Delta around Shanghai form the country's most significant manufacturing concentration today, built rapidly from the 1980s onward on cheap labour, port access and, more recently, agglomeration effects among firms clustered there, the same footloose-industry logic already described for electronics manufacturing generally.

Quick revision points

• Weber's least-cost theory: industrial location follows the material index, the ratio of localised raw material weight to finished product weight.
• Material index greater than 1 (weight-losing, e.g. iron and steel, sugar, cement): industry locates near the raw material, since shipping a lighter finished product is cheaper than shipping the bulkier raw material.
• Material index near 1: a footloose industry (electronics, software) that can locate almost anywhere; labour cost, skilled workforce and agglomeration (clustering, as in Silicon Valley) dominate the decision instead of transport cost.
• Material index less than 1 (product gains weight, e.g. from water, as in bread or bottled beverages): industry locates near the market instead.
• Great Lakes/Pittsburgh (USA): classic coal-and-iron-ore steel belt, declined into the Rust Belt as activity shifted toward the Sun Belt.
• Kanto and Kansai (Japan, around Tokyo and Osaka): major industrial belts built on imported raw materials at coastal ports, despite Japan's own resource scarcity.
• Guangdong and the Yangtze River Delta (China, around Shanghai): the country's leading manufacturing concentration today, built on cheap labour, port access and agglomeration rather than a local raw-material advantage.