Why Systems Economics Exists

Systems Economics Lexicon · Foundations of the Locus Language

Adam Smith’s pin factory showed that producing pins works the same way in any economy, even as scale and specialization vary. Marx traced two complementary circuits of production, one starting from capital, one starting from a product. Coase and Williamson gave economics transaction-cost models of the firm. Leontief built an intricate input-output model of the whole economy. None of them, across two and a half centuries of economic thought, produced an integrated, components-based model of an economic system comparable to what systems approaches have given the natural sciences. That gap is what the Locus Model exists to close.

The missing coordinate

Genomics didn’t just organize what biologists already knew — it gave medicine a domain-specific data model built on the structure, function, location, and relationships of genes, and that model is what made personalized healthcare possible: matching a disease’s genomic markers to a person’s own. Economics never got the equivalent. Businesses, jobs, and economic data are still organized the way library books were organized before computers — hierarchical classification, closer to the Dewey Decimal System than to anything a modern data science would recognize.

The reason is specific, not vague: there’s never been a generalized model that defines universal functional components for an economic system, the way cell biology defines the common organelles every cell — blood cell, skin cell, neuron, plant cell, animal cell — shares regardless of what kind of cell it is. The Locus Model starts from the same presumption biology already proved out: that a car manufacturer, a sandwich shop, a farm, a hospital, and a nail salon — in ancient Rome, the modern United States, or contemporary China — are all systems built from a common set of functional parts and processes, whether or not anyone had ever written that structure down.

What the Locus Model actually is

The Locus Model treats economic activity as inherently location-based: each function a system performs — transportation, say — stays constant over time even as the specific things that perform it change completely, from horses to cars to airplanes. Every function gets a location, defined by a combination of coordinates, the same way a physical place gets defined by latitude and longitude. That coordinate system is what the field built on top of the Locus Model is named for: Systems Economics, the study of the structures and functions that comprise an economy.

The practical technology built on this coordinate system is a Functional Information System (FIS) — a framework that tags the activities, resources, products, and supply chains of an economy by function and maps them onto the Locus Model’s standardized network, rather than sorting them into the separate, incompatible hierarchical classification systems that obscure how genuinely similar components across the economy actually are.

How this book is organized

The book itself follows the same logic it describes: Part I (Chapters 1–7) lays out the Locus Model’s foundational components and the language built to describe them precisely — the elements of that language in Chapter 2, their detailed grammar in Chapters 3 and 4, how to combine them into full sentences in Chapter 5, a complete interconnected model of Economic Systems in Chapter 6, and how the model applies specifically to people in Chapter 7. Part II (Chapters 8–12) then applies all of that theory to the actual work of classifying companies, starting from how Locus-language sentences arrange into a barcode.

See also: The Locus Model · Functional Information Systems

Part of Foundations of the Locus Language, the first course in the Locus Theory series. For the full term-by-term specification, see the Lexicon.