Weber's Least Cost Theory and Break-of-Bulk Points

Alfred Weber built a model for picking a factory site using three costs: transporting raw materials and finished goods, paying workers, and the savings firms get from clustering near other businesses, called agglomeration. Transport cost usually does the most work in the model. If a raw material loses a lot of weight during processing, like iron ore smelted into steel, shipping the bulky raw material is expensive and shipping the lighter finished product is cheap, so the factory locates near the material source. If the product gains weight or bulk during production, like bottled soda, the factory locates near the market instead, since hauling the finished product further would cost more than hauling the ingredients.

This is why a steel mill sits near ore deposits and a bakery sits near its customers: each is minimizing the heaviest, most expensive leg of the journey. Labor and agglomeration can shift the answer away from the pure transport-cost point. A location with much cheaper labor, or one surrounded by suppliers and specialized workers, can beat the transport-optimal site if the savings are large enough to cover the extra shipping cost.

Weber's model is a close-up tool: it places one factory on a map using local costs. It pairs with Wallerstein's core-periphery model and Rostow's stages, which describe why whole regions industrialize or stay dependent, and with break-of-bulk points, places like ports where goods switch transport modes and processing often clusters to avoid unloading and reloading twice.