Quality-Adjusted Output

An analytical framework that decomposes economic or firm-level output growth into contributions from labour, capital, and a residual factor often interpreted as technological progress or total factor productivity. Growth accounting is fundamental to understanding how intangible investments — in R&D, software, organisational design, and human capital — drive productivity improvements.

A set of measurement guidelines and statistical standards developed by the Organisation for Economic Co-operation and Development for comparing productivity across countries and sectors. The OECD framework addresses the treatment of intangible investment, quality adjustment, and multi-factor productivity, providing the foundation for international productivity benchmarking.

The measure of the value of goods and services produced, calculated as revenue minus the cost of purchased inputs (services, energy, and materials). GVA captures the value a company creates through its own activities and is a core productivity metric in the Opagio framework.

A measure of productivity that accounts for the contributions of multiple inputs — including labour, capital, energy, and materials — to output growth. MFP captures the efficiency with which all inputs are combined and is closely related to total factor productivity, serving as a key indicator of innovation and intangible capital contributions.

The amount of output produced per unit of labour input, commonly measured as gross value added (GVA) divided by labour costs or number of employees. Labour productivity is a key efficiency metric that reflects the quality of human capital, processes, and technology deployed by a firm.

A measure of productivity that captures the effects of technology, innovation, management quality, and other intangible factors that increase output beyond what can be explained by the quantity of labour and capital inputs used. TFP is calculated as GVA divided by a weighted combination of labour and capital inputs.

A unit of measurement that represents the workload of one full-time employee, used to standardise headcount across different working arrangements. FTE counts are essential denominators in productivity metrics such as revenue per employee and output per worker, enabling meaningful comparisons across firms and over time.

The observation that large-scale investments in information technology and digital transformation do not always produce corresponding improvements in measured productivity. The productivity paradox is partly explained by measurement challenges — traditional metrics fail to capture the full value of intangible asset accumulation — and partly by the time lag before complementary intangible investments yield returns.