取締役会ガバナンスがCFOの企業持続可能性への影響を促進する：取締役会の有効性の調整効果

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬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.

本研究は、最高財務責任者（CFO）の株式所有の整合性と学歴資格が、複合的な環境・社会・ガバナンス（ESG）業績スコアによって代理測定される企業の持続可能な発展にどのように影響するか、また、取締役会のガバナンス効果がこれらの関係を調整するかどうかを検証する。アッパー・エシュロン理論、エージェンシー理論、および取締役会ガバナンスの視点に基づき、我々はCFOのインセンティブ整合性と人的資本が持続可能性の成果を正に予測するが、これらの関係は取締役会の効果性によって表されるガバナンス環境の質に依存すると主張する。12年間にわたる430社のバランスパネル（N = 5,160社年観測値）を用いて、平均中心化した交互作用項を用いた4モデルの固定効果（FE）回帰の段階的展開を、Pooled Mean Group（PMG）推定、Dumitrescu-Hurlinパネル因果性検定、およびToda-Yamamoto修正Wald検定と併せて採用する。結果は、CFOの株式所有（β = 0.0060、p < .05）とCFOの教育（β = 0.0189、p < .01）がそれぞれ持続可能な発展を直接かつ正に予測し、取締役会の効果性が最大の直接効果（β = 0.0721、p < .01）を及ぼすことを確認する。重要には、取締役会の効果性は、CFO所有権と持続可能性の関係（β_int = 0.0142、p < .05）およびCFO教育と持続可能性の関係（β_int = 0.0213、p < .05）の両方を正に調整する。低・平均・高の取締役会効果性レベルでの条件付き効果分析は、効果量の拡大を記録し、教育の交互作用が高いガバナンス品質において最大の条件付き効果（0.0196、p < .01）をもたらす。これらの結果は、System GMM、二段階最小二乗法、双方向固定効果、高対低の取締役会サブサンプル、個別ESGピラーの分解、および代替外れ値処理においても頑健である。発見事項は、企業の持続可能性向上を標的としたガバナンス改革政策と取締役会構成の決定に直接的な示唆を与える。 参考文献 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)016

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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)016

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