Board Governance as an Enabler of CFO Influence on Corporate Sustainability: The Moderating Role of Board Effectiveness

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🔬研究者:Provides robust empirical evidence on CFO characteristics and board effectiveness in ESG performance, useful for governance research.

🏢実務担当者:Highlights the importance of board effectiveness in amplifying CFO influence on sustainability, guiding board composition and incentive design.

🏛政策担当者:Suggests that governance reforms enhancing board effectiveness can strengthen corporate sustainability outcomes.

This study examines how Chief Financial Officer (CFO) equity ownership alignment and educational qualification influence corporate sustainable development, proxied by a composite environmental, social, and governance (ESG) performance score, and whether board governance effectiveness moderates these relationships. Drawing on Upper Echelons Theory, Agency Theory, and board governance perspectives, we argue that CFO incentive alignment and human capital positively predict sustainability outcomes, but that these relationships are contingent on the quality of the governance environment as represented by board effectiveness. Using a balanced panel of 430 firms over 12 years (N = 5,160 firm-year observations), we employ a four-model fixed effects (FE) regression progression with mean-centred interaction terms alongside Pooled Mean Group (PMG) estimation, Dumitrescu-Hurlin panel causality tests, and Toda-Yamamoto modified Wald tests. Results confirm that CFO equity ownership (β = 0.0060, p < .05) and CFO education (β = 0.0189, p < .01) each directly and positively predict sustainable development, and that board effectiveness exerts the largest direct effect (β = 0.0721, p < .01). Crucially, board effectiveness positively moderates both the CFO ownership–sustainability relationship (β_int = 0.0142, p < .05) and the CFO education–sustainability relationship (β_int = 0.0213, p < .05). Conditional effects analysis at low, mean, and high board effectiveness levels documents widening effect sizes, with the education interaction yielding the largest conditional effect (0.0196, p < .01) at high governance quality. These results survive System GMM, two-stage least squares, two-way fixed effects, high-versus-low board subsamples, individual ESG pillar disaggregation, and alternative outlier treatment. 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