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

Abstract

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. Findings carry direct implications for governance reform policy and board composition decisions targeting corporate sustainability enhancement.

References

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications.

Barnett, V., & Lewis, T. (1994). Outliers in statistical data (3rd ed.). John Wiley \& Sons.

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8

Brickley, J. A., & Zimmerman, J. L. (2010). Corporate governance myths: Comments on Armstrong, Guay, and Weber. Journal of Accounting and Economics, 50(2--3), 235–245. https://doi.org/10.1016/j.jacceco.2010.09.002

Carpenter, M. A., Geletkanycz, M. A., & Sanders, Wm. G. (2004). Upper echelons research revisited: Antecedents, elements, and consequences of top management team composition. Journal of Management, 30(6), 749–778. https://doi.org/10.1016/j.jm.2004.06.001

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates.

Dechow, P. M., & Sloan, R. G. (1991). Executive incentives and the horizon problem: An empirical investigation. Journal of Accounting and Economics, 14(1), 51–89. https://doi.org/10.1016/0165-4101(91)90058-S

Driscoll, J. C., & Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. The Review of Economics and Statistics, 80(4), 549–560. https://doi.org/10.1162/003465398557825

Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014

Eccles, R. G., Ioannou, I., & Serafeim, G. (2014). The impact of corporate sustainability on organizational processes and performance. Management Science, 60(11), 2835–2857. https://doi.org/10.1287/mnsc.2014.1984

Endrikat, J., de Villiers, C., Guenther, T. W., & Guenther, E. M. (2020). Board characteristics and corporate social responsibility: A meta-analytic investigation. Business Strategy and the Environment, 30(5), 2547–2569. https://doi.org/10.1002/bse.2762

Finkelstein, S., Hambrick, D. C., & Cannella, A. A. (2009). Strategic leadership: Theory and research on executives, top management teams, and boards. Oxford University Press.

Francoeur, C., Melis, A., Gaia, S., & Aresu, S. (2019). Green or greed? An alternative look at CEO compensation and corporate environmental commitment. Journal of Business Ethics, 140(3), 439–453. https://doi.org/10.1007/s10551-015-2674-5

Friede, G., Busch, T., & Bassen, A. (2015). ESG and financial performance: Aggregated evidence from more than 2000 empirical studies. Journal of Sustainable Finance \& Investment, 5(4), 210–233. https://doi.org/10.1080/20430795.2015.1118917

Graham, J. R., Harvey, C. R., & Puri, M. (2013). Managerial attitudes and corporate actions. Journal of Financial Economics, 109(1), 103–121. https://doi.org/10.1016/j.jfineco.2013.01.010

Hambrick, D. C. (2007). Upper echelons theory: An update. Academy of Management Review, 32(2), 334–343. https://doi.org/10.5465/amr.2007.24345254

Hambrick, D. C., & Finkelstein, S. (1987). Managerial discretion: A bridge between polar views of organizational outcomes. Research in Organizational Behavior, 9, 369–406.

Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9(2), 193–206. https://doi.org/10.5465/amr.1984.4277628

Harjoto, M. A., Laksmana, I., & Lee, R. (2015). Board diversity and corporate social responsibility. Journal of Business Ethics, 132(4), 641–660. https://doi.org/10.1007/s10551-014-2343-0

Hillman, A. J., & Dalziel, T. (2003). Boards of directors and firm performance: Integrating agency and resource dependence perspectives. Academy of Management Review, 28(3), 383–396. https://doi.org/10.5465/amr.2003.10196729

Hussain, N., Rigoni, U., & Orij, R. P. (2018). Corporate governance and sustainability performance: Analysis of triple bottom line performance. Journal of Business Ethics, 149(2), 411–432. https://doi.org/10.1007/s10551-016-3099-5

Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7

Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305–360.

Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1–44. https://doi.org/10.1016/S0304-4076(98)00023-2

Khan, M., Serafeim, G., & Yoon, A. (2016). Corporate sustainability: First evidence on materiality. The Accounting Review, 91(6), 1697–1724. https://doi.org/10.2308/accr-51383

Levin, A., Lin, C.-F., & Chu, C.-S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7

Liu, Y., Wei, Z., & Xie, F. (2021). CEO gender and corporate cash holdings: Are female CEOs more conservative? Journal of Corporate Finance, 68, 101905. https://doi.org/10.1016/j.jcorpfin.2021.101905

Manner, M. H. (2010). The impact of CEO characteristics on corporate social performance. Journal of Business Ethics, 93(1), 53–72. https://doi.org/10.1007/s10551-010-0626-7

McCarthy, S., Oliver, B., & Song, S. (2017). Corporate social responsibility and CEO confidence. Journal of Banking \& Finance, 75, 280–291. https://doi.org/10.1016/j.jbankfin.2016.11.024

Morck, R., Shleifer, A., & Vishny, R. W. (1988). Management ownership and market valuation: An empirical analysis. Journal of Financial Economics, 20, 293–315. https://doi.org/10.1016/0304-405X(88)90048-7

Naaman, M. (2020). CFO demographic characteristics and corporate cash holdings: Evidence from an emerging market. Managerial Finance, 46(6), 783–805. https://doi.org/10.1108/MF-04-2019-0194

Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653–670. https://doi.org/10.1111/1468-0084.0610s1653

Pedroni, P. (2004). Panel cointegration: Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3), 597–625. https://doi.org/10.1017/S0266466604203073

Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels.

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951

Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634. https://doi.org/10.1080/01621459.1999.10474156

Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. https://doi.org/10.1016/j.jeconom.2007.05.010

Petersen, M. A. (2009). Estimating standard errors in finance panel data sets: Comparing approaches. The Review of Financial Studies, 22(1), 435–480. https://doi.org/10.1093/rfs/hhn053

Pfeffer, J., & Salancik, G. R. (1978). The external control of organizations: A resource dependence perspective. Harper & Row.

Post, C., Rahman, N., & Rubow, E. (2011). Green governance: Boards of directors’ composition and environmental corporate social responsibility. Business \& Society, 50(1), 189–223. https://doi.org/10.1177/0007650310394642

Shleifer, A., & Vishny, R. W. (1997). A survey of corporate governance. The Journal of Finance, 52(2), 737–783. https://doi.org/10.1111/j.1540-6261.1997.tb04820.x

Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1--2), 225–250. https://doi.org/10.1016/0304-4076(94)01616-8

Velte, P. (2017). Does ESG performance have an impact on financial performance? Evidence from Germany. Journal of Global Responsibility, 8(2), 169–178. https://doi.org/10.1108/JGR-11-2016-0029

Verbeek, M., & Nijman, T. (1992). Testing for selectivity bias in panel data models. International Economic Review, 33(3), 681–703. https://doi.org/10.2307/2527133

Walls, J. L., Berrone, P., & Phan, P. H. (2012). Corporate governance and environmental performance: Is there really a link? Strategic Management Journal, 33(8), 885–913. https://doi.org/10.1002/smj.1952

Wang, H., Choi, J., & Li, J. (2008). Too little or too much? Untangling the relationship between corporate philanthropy and firm financial performance. Organization Science, 19(1), 143–159. https://doi.org/10.1287/orsc.1070.0271

Wang, Y.-T., Tsai, J.-R., & Lin, H.-C. (2011). The relationship between audit committee characteristics and the quality of internal control over financial reporting. Journal of Financial Reporting and Accounting, 9(1), 57–77. https://doi.org/10.1108/19852511111149050

Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x