Productivity
Productivity is the quantity of output produced per unit of input — most commonly labor productivity, which measures output per hour of work. Over the long run, productivity growth is the only reliable source of rising living standards. When productivity is stagnant, wages stagnate. When productivity accelerates, it can drive GDP growth even with a stable labor force.
There are multiple productivity measures: labor productivity (output per hour), multifactor productivity (output per unit of all inputs), and sector-specific measures. All follow the same logic — more output from the same inputs.
Labor productivity versus total-factor productivity
Labor productivity (output per hour) is the most familiar form. It captures how much output one worker generates in an hour. If a factory produces 1,000 widgets per hour with 10 workers, labor productivity is 100 widgets per worker-hour.
Labor productivity can increase for two reasons:
- Workers become more efficient (better skills, training, technology).
- Workers have more capital to work with (machines, buildings, software).
Multifactor productivity (or total-factor productivity, TFP) strips out the capital effect and measures how much output you get from all inputs combined — labor, capital, materials, and energy. It captures the “residual” — improvements that cannot be explained by simply adding more inputs. This residual is often attributed to technological progress and organizational improvement.
The sources of productivity growth
Productivity growth comes from:
- Technological innovation. New machines, software, techniques, and processes. The printing press, electricity, the internet, and artificial intelligence are examples spanning centuries.
- Capital deepening. Accumulating more machinery and infrastructure per worker. A construction worker with a bulldozer is more productive than one with a shovel.
- Human capital. Education, training, and experience. A trained technician produces more than an untrained one.
- Organizational efficiency. Better supply chains, just-in-time manufacturing, lean production, and management practices.
- Reallocation. Shifting workers from low-productivity sectors (agriculture, low-skill services) to high-productivity sectors (manufacturing, high-skill services).
Productivity and living standards
The link between productivity and wages is iron-clad over the long run:
Real Wage Growth ≈ Productivity Growth
If productivity is flat, workers cannot sustainably earn higher real wages — there is no more output per person to distribute. If productivity grows 2% annually, workers can earn 2% higher real wages on average without firms’ profits shrinking.
From 1950 to 1990, US productivity and real wages both roughly doubled. But from 1990 to 2010, productivity continued to grow (though more slowly), while median real wages stagnated. This divergence — where productivity gains accrue to capital, not labor — is a central concern in inequality debates.
Productivity slowdown and acceleration
The US has experienced three major productivity regimes:
- Post-war boom (1945-1973): Rapid productivity growth, averaging 3% annually. Real wages and incomes rose sharply.
- Slowdown (1973-1995): Productivity growth fell to 1–1.5% annually. Often attributed to rising energy costs, loss of technological momentum, and regulatory drag.
- Information technology revival (1995-2005): Productivity accelerated back to 2.5%+. Computers and the internet boosted efficiency.
- Slowdown again (2005-present): Productivity growth fell back to 1–1.5%. Causes debated — measurement issues, maturation of IT, declining competition, regulatory drag.
Why productivity measurement is controversial
Measuring productivity is harder than it seems:
- Quality changes. If a car becomes safer and more fuel-efficient but the price stays the same, has productivity risen? National accounts struggle with quality.
- Unmeasured services. Free digital services (search, email, social media) generate value but do not appear in GDP, making productivity appear weaker.
- Capital measurement. The true productive capacity of capital — how quickly equipment becomes obsolete — is guessed, not measured.
- Sector shifts. Services are harder to measure than manufacturing, and the economy has shifted toward services, making aggregate productivity harder to track.
Some economists argue that productivity growth is actually strong but poorly measured. Others think genuine slowdown is real.
Productivity and potential GDP
Potential GDP growth equals labor force growth plus productivity growth:
Potential GDP Growth = Labor Force Growth + Productivity Growth
If the labor force grows 0.5% and productivity grows 1.5%, potential GDP can grow 2% without overheating. If productivity falls to 0.5%, potential slows to 1% — a major drag on policy space and future living standards.
See also
Closely related
- Labor productivity — output per hour of work
- Multifactor productivity — output per all inputs
- Capital deepening — accumulation of capital per worker
- Potential GDP — driven partly by productivity growth
- Total factor productivity — the residual after inputs
Broader context
- Gross Domestic Product — output side
- Inflation — productivity growth can offset wage growth
- Business cycle — productivity cycles with output
- Secular stagnation — persistent low productivity growth
- Compound interest — small productivity changes compound