Mapping the determinants of carbon-related CEO compensation: a multilevel approach

IF 3.1 Q2 BUSINESS
Julija Winschel
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引用次数: 2

Abstract

Purpose In view of the current climate change emergency and the growing importance of the climate-related accountability of companies, this paper aims to advance a comprehensive understanding of the determinants of carbon-related chief executive officer (CEO) compensation. Design/methodology/approach Building on the agency-theoretical perspective on executive compensation and existing work in the fields of management, corporate governance, cultural studies, and behavioral science, this paper derives a multilevel framework of the determinants of carbon-related CEO compensation. Findings This paper maps the determinants of carbon-related CEO compensation at the societal, organizational, group, and individual levels of analysis. It also provides research propositions on the determinants that can support and challenge the implementation of this instrument of environmental corporate governance. Originality/value In the past literature, the determinants of carbon-related CEO compensation have remained largely unexplored. This paper contributes to the academic discussion on environmental corporate governance by showcasing the role of interlinkages among the determinants of carbon-related CEO compensation and the possible countervailing impacts. In view of the complex interdisciplinary nature of climate change impact, this paper encourages businesses practitioners and regulators to intensify their climate change mitigation efforts and delineates the levers at their disposal.
绘制碳相关CEO薪酬的决定因素:多层次方法
目的鉴于当前的气候变化紧急情况以及企业与气候相关的问责制日益重要,本文旨在全面了解与碳相关的首席执行官薪酬的决定因素。设计/方法论/方法基于高管薪酬的代理理论视角以及管理、公司治理、文化研究和行为科学领域的现有工作,本文推导了碳相关CEO薪酬决定因素的多层次框架。发现本文从社会、组织、团体和个人层面分析了与碳相关的首席执行官薪酬的决定因素。它还提供了关于可以支持和挑战这一环境公司治理工具实施的决定因素的研究主张。原创性/价值在过去的文献中,与碳相关的首席执行官薪酬的决定因素在很大程度上尚未被探索。本文通过展示碳相关CEO薪酬的决定因素之间的相互联系作用以及可能的抵消影响,为环境公司治理的学术讨论做出了贡献。鉴于气候变化影响的复杂跨学科性质,本文鼓励企业从业者和监管机构加强其缓解气候变化的努力,并界定其可支配的杠杆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
18.80%
发文量
35
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