The Productivity Wage Signal
Wages across sectors are the fastest proxy for where real productivity actually lives.
Official productivity statistics (output per hour or output per head) are difficult to collect and can obscure as much as they reveal. A more accessible proxy is the wage distribution across sectors: in competitive labour markets, employers pay more for workers whose output justifies the cost. High-wage sectors are therefore a reasonable indicator of high-productivity sectors, and vice versa.
Vicky Pryce applies this lens to explain the UK's regional inequality and the consequences of deindustrialisation. Manufacturing — aerospace, chemicals, pharmaceuticals, North Sea oil — historically paid high wages, signalling genuine productivity. When those sectors shrank, the financial sector appeared to fill the gap with similarly high wages. The 2008 crisis revealed those wages were partly a mirage: they reflected leverage and risk-taking rather than sustained output, and collapsed rapidly.
The framework also explains why services like retail and hospitality show low productivity: output per person is inherently constrained by physical presence requirements, margins are thin, and the skills premium is low — all of which compress wages as a natural consequence.
- In competitive markets, wages are a real-time proxy for output per worker — high wages mean high productivity, low wages mean low.
- Sectors that lose high-wage employment drag down aggregate productivity even if total employment holds steady.
- Financial-sector wages can overstate genuine productivity if they reflect risk-taking or leverage rather than sustainable output.
- Productivity in services is structurally constrained by labour-intensity; expecting service-led economies to match manufacturing productivity is a category error.
- Regional wage gaps map directly onto regional productivity gaps — geographic inequality is primarily a productivity phenomenon.
- Map the wage distribution across sectorsPull average or median wages by sector from national statistics (ONS Annual Survey of Hours and Earnings for the UK). Rank sectors from highest to lowest. This is your first-pass productivity map.Pro tipUse median rather than mean to avoid distortion from extreme earners at the top of finance and tech.
- Identify sectors with declining wage shareCompare the current ranking to one 10-15 years prior. Sectors that have fallen in relative wage terms are likely experiencing genuine productivity decline, not just cyclical weakness.WarningRegulatory wage floors (minimum wage increases) can lift low-wage sectors artificially — adjust for this.
- Test the financial sector as a special caseHigh financial sector wages may reflect leverage, information asymmetry, or regulatory arbitrage rather than sustainable productivity. Cross-check with profitability through a full economic cycle including downturns.Pro tip2008 is the test case: financial wages collapsed nearly overnight, revealing the productivity premium was partly illusory.WarningDo not treat pre-crisis financial wages as a structural benchmark.
- Map wage patterns to regional dataOverlay the sectoral wage map onto regional employment composition. Regions dominated by low-wage services will show lower aggregate productivity; this explains rather than excuses regional inequality.Pro tipLondon's productivity premium is almost entirely explained by its concentration of high-wage financial and professional services.
From the 1980s onward, UK policy allowed manufacturing employment — aerospace, chemicals, engineering — to decline, on the expectation that financial and business services would provide equivalent or higher productivity. By the 2000s, financial sector wages were high, apparently confirming this. In 2008, financial wages and employment collapsed, exposing the misdiagnosis.
London and the southeast consistently show output-per-head figures far above the rest of the UK. Applying the wage signal framework immediately explains this: London is disproportionately concentrated in high-wage financial, professional, and creative services. The regions that lost manufacturing in the 1980s have never rebuilt a high-wage sector to replace it.
Pryce was responsible for productivity targets inside the UK Government Economic Service under Gordon Brown, giving her direct experience of trying to measure and improve what turned out to be a stubbornly intractable problem. She frames the wage signal as a practical shortcut that civil servants and analysts use when clean productivity data is unavailable or lagged — which it almost always is.