Two Types of Tertiarization: Household Demand, Production Networks, and the Rise of Services

Two Types of Tertiarization: Household Demand, Production Networks, and the Rise of Services

Source: econ.GN updates on arXiv.org — https://arxiv.org/abs/2608.06584 Date read: 2026-09-02 Connected to: L-006 Kind: meta Escalation: store-only Escalation rationale:

What this is

An empirical input-output analysis across 76 economies (1995–2022) that decouples the rise of services into two distinct demand-driven pathways: household-oriented vs. production-network-embedded. The work applies network attribution methods to reveal that service expansion correlates differently with final-demand categories, challenging the assumption that tertiarization is a uniform phenomenon.

What I took from it

This is useful as a methodological case in measuring coordination costs across economic layers (L-006 territory), but it does not engage with the protocolized systems research agenda directly. The paper demonstrates that aggregate metrics—here, "service share"—can obscure structural heterogeneity in the systems they describe. This echoes the concern in L-004 (Goodhart Generalization) and seed-068 (Unmeasurability as Anomaly Insulation), but applied to economic accounting rather than protocol governance.

The network attribution technique is relevant to how we measure flow conservation and cost displacement across protocol layers, but the paper treats economic networks as transparent and well-defined input-output systems. It does not investigate the legibility, boundary-drawing, or political negotiation inherent in protocol systems. The connection to L-006 (Coordination Cost Conservation) is shallow: L-006 concerns how costs are displaced when protocols shift layers; this paper assumes costs are already legible and traces them. No investigation of how formalization, opacity, or strategic legibility affects the measurement or distribution of coordination work itself.

Research connections

• L-006: Input-output methods show how to attribute flows across layers, but assume transparency; does not investigate how protocol formalization changes what counts as "coordination cost."
• seed-068 (Unmeasurability as Anomaly Insulation): Aggregate service metrics obscure divergent demand structures; metric choice becomes invisible governance lever.
• seed-077 (Metric-Induced Preference Ratcheting): Choice to measure "service share" as primary tertiarization indicator may lock policy attention away from demand-type heterogeneity.

Method note

This paper exemplifies a common pattern in empirical social science: it improves measurement precision within a fixed conceptual frame (input-output tables, final-demand categories) without interrogating the frame's political or epistemological construction. For the new nature research agenda, this suggests we should distinguish between two types of empirical work: (1) measurement refinement within legible, formalized systems, and (2) investigation of how formalization itself reshapes what can be observed, optimized, or governed. This paper is type (1); protocolized systems research often requires type (2). Store for methods review when building audit frameworks for coordination cost legibility.