9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Board Composition and Social & Environmental Accountability: A Dynamic Model Analysis of Chinese Firms

      , , ,
      Sustainability
      MDPI AG

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This research contributes to the existing corporate governance (CG) and social and environmental accountability (SEA) literature by exploring the impact of CG mechanisms (board independence, board size, CEO duality, and board gender diversity) on Chinese firms’ environmental performance, sustainability performance, and environmental information disclosures (EID). Furthermore, the investigation consequently ascertains the amount to which the CG–SEA connection is influenced by CEO qualities. Using a dynamic model of a SysGMM regression model, we found that board size, independence, and gender diversity in board and CEO duality are all favorably connected to Chinese enterprises’ environmental performance over a window of 10 years (2010–2019). Additionally, our findings imply that the analyzed CEO characteristics positively moderate the relationship between CG and SEA. Our findings have significant consequences for all stakeholders, including environmentalists, corporate regulators, CEOs, policymakers, and regulators.

          Related collections

          Most cited references103

          • Record: found
          • Abstract: not found
          • Article: not found

          Initial conditions and moment restrictions in dynamic panel data models

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Theory of the firm: Managerial behavior, agency costs and ownership structure

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Another look at the instrumental variable estimation of error-components models

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                October 2021
                September 25 2021
                : 13
                : 19
                : 10662
                Article
                10.3390/su131910662
                1471cdc8-2f13-40af-b96a-71b70fcd1b4d
                © 2021

                https://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article