Chapter 01 · Climate & transitionClimate & Greenhouse Gas Emissions
Stranded assets
Definition
Stranded assets are assets whose expected value, use or economic life is reduced because external conditions change, including climate policy, market demand, technology or physical risk.
References
This reference provides supporting context for how “Stranded assets” is defined and used.
Overview
What it means in practice
Stranded assets should be read as a decision term, not simply as a label. Its practical meaning depends on the boundary being assessed, the accounting or governance purpose, and the evidence used to support the claim.
In practice, users should ask what is being measured or governed, who is relying on the term, and what would change if the term were applied differently. That discipline keeps stranded assets from becoming a shorthand that hides assumptions.
Why it matters
Climate terminology often moves between strategy, finance, risk management and public claims. Stranded assets matters because the same phrase can shape investment decisions, disclosure judgments and stakeholder expectations in different ways.
Common misconception
A common error is to treat stranded assets as self-explanatory. The stronger approach is to state the scenario, timeframe, emissions boundary, asset class, sector or decision context that gives the term meaning.
Review questions
What boundary does the term cover? What evidence would prove or narrow the claim? Who could reasonably misunderstand the term if the context is not stated?
How it is used
In professional practice, “Stranded assets” helps governments, companies, investors and technical teams describe or assess assets whose expected value, use or economic life is reduced because external conditions change, including climate policy, market demand, technology or physical risk. It is commonly encountered in climate strategies, transition plans, emissions inventories, scenarios and investment decisions.
A credible application identifies the relevant methodology, emissions boundary, baseline, timeframe and underlying data.