Sustainability Language

Data, Technology & Verification Systems

Data envelopment analysis (DEA)

A non-parametric method that benchmarks the relative efficiency of comparable units by measuring their distance from a best-practice frontier.

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Definition

Data envelopment analysis is a linear-programming technique, introduced by Charnes, Cooper and Rhodes in 1978, that evaluates the relative efficiency of decision-making units (DMUs) — such as firms, plants or utilities — converting multiple inputs into multiple outputs. It constructs an efficient frontier from best performers and scores each unit by its distance from that frontier, yielding relative rather than absolute efficiency measures.

References

Overview

What it means

A way to say how far each operation lags the best comparable practice, without imposing a fixed production formula.

How it is used

In sustainability research and regulation, DEA benchmarks energy and eco-efficiency of utilities, farms, transport systems and national economies, and informs regulator-set efficiency targets.

Why it matters

DEA provides a standardised, data-driven basis for comparing resource efficiency across organisations — the analytical engine behind many eco-efficiency rankings.

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