Structural ESG: A Life-Value Reflow Approach to Social and Governance Sustainability

Environmental, social, and governance (ESG) ratings suffer from methodological fragmentation and low cross-agency correlation. While existing literature links employee satisfaction to equity returns (Edmans, 2011), the social (S) and governance (G) pillars lack a theoretically grounded mechanism for quantifying fundamental corporate sustainability. This paper proposes a structural framework based on the Life-Value Reflow Theory. The firm is modeled as a bounded organizational subsystem, and the reflow signal-to-noise ratio (SNR) is defined as a quantitative measure of organizational clarity and internal friction. A predictive validation is conducted using a high-fidelity panel of mega-cap entities (2008–2021). Three main findings emerge. First, SNR strongly and negatively predicts future 12‑month tail risk; a one‑unit deterioration in SNR is associated with an increase in annualized volatility of over 10 percentage points. Second, the absence of cross‑sectional return predictability suggests a market asymmetry: investors appear to price the explicit costs of employee welfare efficiently, yet may overlook the long‑term structural friction arising from vitality depletion. Third, a threshold sweep identifies a non‑linear “fragility zone” (SNR ≤ 1.2), where entry into this sub‑critical band triggers an abrupt nonlinear transition in future volatility. By integrating organizational capital literature with complex system dynamics, this paper shifts the ESG paradigm from subjective scoring toward the quantitative pricing of structural risk.