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The role of corporate governance in environmental policy disclosure and sustainable development. Generalized estimating equations in longitudinal count data analysis

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  • Francesco Campanella
  • Luana Serino
  • Anna Crisci
  • Antonello D'Ambra

Abstract

Addressing environmental, social, and governance (ESG) issues has become a critical element of company strategy. This study aims to investigate the relationship between corporate governance and financial characteristics and the extent of ESG disclosure in an international sample. The sample consists of 540 companies chosen from the Forbes Global 2000 list for the period 2014–2017. The econometric model used for analyzing the association between corporate characteristics and the extent of ESG disclosure is based on Generalized Estimating Equations for longitudinal count data. The current study argues that stakeholder engagement is the key to enhancing both business environmental policy and sustainable development. The statistical results show that all governance factors selected in our study, with the exception of the board size, are significant determinants that influence the extent of environmental policy disclosure.

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  • Francesco Campanella & Luana Serino & Anna Crisci & Antonello D'Ambra, 2021. "The role of corporate governance in environmental policy disclosure and sustainable development. Generalized estimating equations in longitudinal count data analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 474-484, January.
    • Handle: RePEc:wly:corsem:v:28:y:2021:i:1:p:474-484
    DOI: 10.1002/csr.2062
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    3. Mônica Cavalcanti Sá de Abreu & Romulo Alves Soares & Victor Daniel‐Vasconcelos & Vicente Lima Crisóstomo, 2023. "Does board diversity encourage an environmental policy focused on resource use, emission reduction and innovation? The case of companies in Latin America," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(3), pages 1161-1176, May.
    4. Mariasole Bannò & Emilia Filippi & Sandro Trento, 2023. "Women in top echelon positions and their effects on sustainability: a review, synthesis and future research agenda," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(1), pages 181-251, March.
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    7. Ge Wang & Huijin Zhang & Saixing Zeng & Xiaohua Meng & Han Lin, 2023. "Reporting on sustainable development: Configurational effects of top management team and corporate characteristics on environmental information disclosure," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(1), pages 28-52, January.

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