3.1.4.1–3.1.4.2 - Production, productivity and specialisation

Turning inputs into output

Production combines inputs to create goods or services that satisfy needs and wants. A bakery uses workers' time, ovens, ingredients and premises to make bread; a physiotherapy service uses skilled labour, treatment rooms and equipment to provide appointments. Output need not be a physical object.

Inputs include the services of the factors of production: land and natural resources, labour, capital and enterprise. An oven provides a flow of capital services while it is used; the oven is not consumed as an ingredient in every loaf. Enterprise organises the other inputs and bears uncertainty over whether customers will buy the output. Money can buy inputs, but money itself is not the productive equipment economists call capital.

The connection between inputs and output depends on technology, skills and organisation. With the same oven and working hours, better scheduling may reduce idle time and produce more bread. Alternatively, adding another oven and worker may raise output simply because the firm uses more resources. These are different changes: producing more does not by itself show that inputs have become more productive.

Measuring productivity

Productivity measures output per unit of input over a specified period. Labour productivity is often measured as output per worker or output per labour hour. The denominator matters: comparing full-time and part-time workforces by headcount alone can mislead.

The following figures are original illustrative data for a packing business. Both months have the same length, and each parcel has the same specification.

For Month A, $12{,}000/800=15$ parcels per labour hour. For Month B, $14{,}400/960=15$. Production rises by $2{,}400$ parcels, or $20\%$, but labour hours also rise by $20\%$, leaving productivity unchanged.

Suppose a redesigned layout then allows 14,400 parcels to be packed in 800 hours. Productivity becomes $14{,}400/800=18$ parcels per labour hour: an increase of $3$, or $3/15\times100=20\%$. If hourly labour cost stays at £15, direct labour cost per parcel falls from $£15/15=£1$ to $£15/18\approx£0.83$. This is a labour-cost comparison, not a claim that all the firm's costs fall: new equipment or training may also cost money.

More capital per worker, improved skills, healthier workers, better technology and better organisation can increase labour productivity. A high output-per-worker figure therefore does not mean that workers alone caused the improvement. Comparisons also need consistent output quality: processing more appointments by shortening them may change the service rather than improve efficiency.

How specialisation raises productivity

Specialisation means concentrating on a narrower range of activities. A worker can specialise in baking, a firm in making ovens and a region in a particular crop. Division of labour is specialisation within production: a job is split into tasks carried out by different workers.

Imagine a bicycle workshop where each worker initially assembles a whole bicycle. Splitting production into wheel-building, frame assembly and final testing can raise output per hour through several mechanisms. Repetition develops task-specific skill and reduces mistakes. Workers spend less time switching tools and preparing different tasks. Managers can match people to their strengths, while equipment can be designed for one repeated operation. Less wasted time and fewer defects mean more usable output from the same inputs.

These benefits depend on coordination. If wheel-building can supply 30 bicycles' wheels per day but testing can handle only 20 bicycles, the bottleneck limits finished output to 20. Speeding up wheel-building alone adds unfinished stock rather than saleable bicycles. A specialised worker's absence can interrupt the whole chain, and repetitive work may reduce motivation or flexibility. Training, reliable deliveries and sufficiently large demand help make the gains worthwhile.

Specialisation can therefore increase productivity, but “more specialised” is not automatically “more efficient”. A small workshop making unique bicycles might lose time passing jobs between stations. Its choice depends on whether saved switching time and deeper skills outweigh coordination costs and reduced flexibility.

Why specialisation needs exchange

A specialised producer makes a narrow set of products but wants to consume many different goods and services. A baker still needs clothing, transport and healthcare. The productivity gains from specialisation become useful only if the baker can exchange some bread for those other outputs.

Under barter, goods or services are exchanged directly. It requires a double coincidence of wants: each trader must want what the other offers at the same time. A baker who wants a haircut must find a hairdresser who wants bread, in a mutually acceptable quantity. Perishability and indivisible services make this harder.

Money as a medium of exchange separates selling from buying. The baker sells bread for money to customers, then pays a hairdresser who accepts money. The hairdresser need not want bread or buy from that baker. Widely accepted money reduces search and bargaining costs and lets complex chains of specialised producers trade with many partners.

Money performs this function when people trust that others will accept it and payments can be made reliably. Money's usefulness also depends on reasonably predictable purchasing power: sharp uncertainty about what a payment can buy makes trading and planning harder. An efficient payment system supports exchange, but it does not itself create bread or remove the need for skilled workers and equipment.

Quick recap

Production measures total output; productivity relates that output to inputs. Specialisation can raise productivity through skill, matching and reduced switching time, provided the production chain works. Exchange lets specialised producers consume a wider range of outputs, and money makes that exchange easier.