PhilArchive
open access
Why Economics Must Distinguish Between Systems and Sets
Since the neoclassical tradition, mainstream economics has generally treated the economic system as a set composed of homogeneous individuals, and has built theoretical tools such as aggregation analysis, representative individual, and general equilibrium on this basis. This set paradigm obscures the structurality and heterogeneity of economic systems. This paper reveals typical manifestations of treating systems as sets in economics and traces their philosophical root – the homogeneity of utility value. On this basis, it briefly points out that reconstructing economics should shift to a general system theory paradigm from set paradigm, taking heterogeneous use-value as a foundation.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Economic Systems: Admissibility, Identity, and Structural Persistence#78176
- UNDERSTANDING ELEMENTS OF SYSTEM DESIGN#933621
- KOSTAS AXELOS : THE PLAY OF WORLD - ALEXIS KARPOUZOS#701104
- On a General Distinction in Socio-Political Systems: The Systems Identity Homogeneous and Inhomogeneous#723477
- A Structural Framework for Thought Reproduction—Traversing Philosophy and Brand: The Economic Architecture of Thought#73694
Record · ID 732239
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive