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In graph Frontier

Market failure

In neoclassical economics, market failure is a situation in which the allocation of goods and services by a free market is not Pareto efficient, often leading to a net loss of economic value.

At a glance

Type
systems
Mental models 1
Role in the graph
Cross-disciplinary bridge
reaches 2 discipline lenses

Key signals

Cross-disciplinary reach
Disciplines
2
  • Economics
  • Political Economy
Evidence & development

Dependencies

What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.

Foundations · builds on

ExternalitycausesMarket failureEstablished

Open Externality →

externality causes market failure.

Mechanism: An externality causes market failure: when a cost or benefit falls on third parties, the market price ignores it and the outcome is inefficient.

Sources:
Information asymmetrycausesMarket failureEstablished

Open Information asymmetry →

information asymmetry causes market failure.

Mechanism: When one side knows more than the other, markets misprice risk — the used-car 'lemons' problem.

Sources:
Public goodcausesMarket failureEstablished

Open Public good →

public good causes market failure.

Mechanism: Markets under-provide public goods (non-excludable, non-rival) — a classic market failure.

Sources:
Public GoodscausesMarket failureEstablished

Open Public Goods →

Public Goods causes Market Failure.

Mechanism: Because public goods are non-excludable, markets underprovide them, a classic source of market failure.

Market failurerequiresRegulationEstablished

Open Regulation →

Market Failure requires Regulation.

System context

Tragedy of the commonsis aMarket failureEstablished

Open Tragedy of the commons →

tragedy of the commons is a kind of market failure.

Mechanism: When a shared resource is free to all, each user overuses it and it collapses — individually rational, collectively ruinous.

Sources:

Structural role & consequence

Interpreted from the current atlas graph — what the connections mean, not just how many there are.

  • Builds on 6 foundations (requires / depends-on / derived-from / emerges-from).

    structural · Structural graph analysis — not a claim of importance, causation or history.

  • Currently dark in the atlas: no key date stored · 8 of 8 of its relations lack claim-level evidence.

    atlas representation · Describes the current Thinking OS representation, not the state of the world.

  • Structural neighbourhood: 8 → 24 → 57 concepts reachable within 3 hops.

    structural · Structural reach — being reachable is not the same as being understood.

  • All 8 of its relationships stay within its own discipline — a field-specific concept in the current atlas.

    structural · Structural graph analysis — not a claim of importance, causation or history.

0%

cross-field
8 within-field, 0 cross-field

0 of 8 relations carry evidence · concept has a verified source

Strengths & constraints

Constraints

  • Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
  • No dated history stored — the atlas records no key date for this concept. atlas representation

Conditions

  • Its dependency reading rests on 6 foundation relations. structural
  • Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural

Dependency radial

What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.

ExternalityInformation asymmetryPublic goodPublic GoodsRegulationMarket failure◀ builds onenables ▶

Seen through each discipline

How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.

Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.

This idea also appears in…

The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”

Constraints34 disciplines · 16 concepts

Concepts

Mental models at work here

The scientific picture
  • Connects 8 other ideas across 2 disciplines.
  • A cross-disciplinary bridge — its connections reach into 2 other fields.
  • Most of its connections are of the “Cause & effect” kind.
  • It exercises 1 reusable thinking pattern.

Derived from the graph’s real structure — observations, not a score.

Sources

Thinking OS — Connected Knowledge in Education