Risk-Adjusted Infrastructure Pricing under Governance Uncertainty: A Computational Pricing Theory for Cash-Flow Protection, Contractual Safeguards and Evidence-Conditioned Risk Premiums
Year: 2026
Type: report
Abstract: This paper develops Risk-Adjusted Infrastructure Pricing under Governance Uncertainty as a standalone research article within the AEGIS / Civilization Engineering Series. The research problem is that infrastructure pricing frequently captures direct quantities while underpricing governance uncertainty, cash-flow fragility, contractual latency, evidence reserve and adaptive protection cost. The paper advances a bounded computational governance construct through governance-conditioned pricing logic, evidence-aware risk premium equations, contractual safeguard valuation, falsifiable hypotheses and staged validation architecture. Its contribution is methodological rather than promotional: it transforms governance uncertainty into measurable and reviewable computational pricing constructs suitable for future calibration, digital implementation and empirical testing. This paper is part of the Civilization Engineering Series and should be read together with the master framework paper:https://doi.org/10.5281/zenodo.20369676
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7162306215
