The Nexus between Executive Compensation and Firm Performance: Does Governance and Inequality Matter?

Q3 Economics, Econometrics and Finance
Tapiwa Muzata, Godfrey Marozva
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 Design/methodology/approach: The methodology used calculated the salary Gini (s-Gini) and governance indices (G-index) for companies in the sample and these were used as proxies for inequality and corporate governance respectively. The dataset is panel in nature. It comprises 46 conveniently selected largest JSE listed companies (by market capitalisation). A 2-step system GMM was used to determine if s-Gini and G-index were channels through which executive compensation could influence company performance. While considering a dynamic specifi-cation, the GMM estimator addressed possible endogeneity bias. GMM estimation method addressed potential over or underestimation of the relationship between company performance and executive compensation because it was considered more efficient on shorter panels. GMM analysis on companies listed on the JSE Top40 index was from 2008 to 2020. Overall, the methodology and analysis employed provide valuable insights into the complexities between executive compensation, inequality, corporate governance, and company performance, shedding light on important factors that can influence company's performance.
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引用次数: 0

Abstract

Purpose: The main aim of this study is to empirically investigate the relationship between executive compensation, inequality, and corporate governance, thus filling a gap in extant literature. Design/methodology/approach: The methodology used calculated the salary Gini (s-Gini) and governance indices (G-index) for companies in the sample and these were used as proxies for inequality and corporate governance respectively. The dataset is panel in nature. It comprises 46 conveniently selected largest JSE listed companies (by market capitalisation). A 2-step system GMM was used to determine if s-Gini and G-index were channels through which executive compensation could influence company performance. While considering a dynamic specifi-cation, the GMM estimator addressed possible endogeneity bias. GMM estimation method addressed potential over or underestimation of the relationship between company performance and executive compensation because it was considered more efficient on shorter panels. GMM analysis on companies listed on the JSE Top40 index was from 2008 to 2020. Overall, the methodology and analysis employed provide valuable insights into the complexities between executive compensation, inequality, corporate governance, and company performance, shedding light on important factors that can influence company's performance. Findings: Results indicated that as executive compensation improved, company performance deteriorated. Furthermore, varied impact of inequality on performance measures were recorded. The observation was that inequality influenced performance in diverse ways. This accentuated the convoluted nature of this relationship. The study also established that both inequality and corporate governance are channels through which executive remuneration affects performance. Additionally, a positive nexus between governance and net profit margin was discovered. Research limitations/implications: The results imply that: higher executive pay does not always yield better com-pany performance; the effects of executive pay on performance are mediated by the level of inequality within the company and the quality of corporate governance practices; good corporate governance practices can enhance financial performance. It is recommended that companies should prioritise espousal of sound corporate governance practices because they have positive influence on performance. Moreover, diligent attention must be given to how executive compensation is configured. Poorly designed compensation packages erode company value. Conversely, properly structured ones may enhance performance and successively improve company value. This study is focused solely on the Top40 largest listed companies in South Africa. The findings may not be generalisable to all listed entities, as there could be variations in the relationship between executive compensation, inequality, and corporate governance across companies of different sizes. By concentrating on the largest entities, the study may gloss over nuances that exist in smaller companies. However, it is important to state that the insights gained from this research are still valuable and can provide useful guidance to policymakers, shareholders, and other stakeholders in under-standing the interaction of the variables examined within the context of larger firms. Future research should consider expanding the sample to include a broader range of listed entities to obtain a more comprehensive understanding of these relationships across the entire corporate landscape. Originality/value: This study contributes to research gap highlighted by Core et al.
高管薪酬与公司绩效之间的关系:治理和不平等是否重要?
目的:本研究的主要目的是实证研究高管薪酬、不平等与公司治理之间的关系,从而填补现有文献的空白。 设计/方法/方法:所使用的方法计算了样本中公司的工资基尼系数(s-Gini)和治理指数(G-index),这些分别被用作不平等和公司治理的代理。数据集本质上是面板。它由46家精心挑选的JSE最大的上市公司(按市值计算)组成。采用两步系统GMM来确定s-基尼系数和g -指数是否是高管薪酬影响公司绩效的渠道。在考虑动态规范时,GMM估计器解决了可能的内生性偏差。GMM估计方法解决了公司绩效和高管薪酬之间关系的潜在高估或低估,因为它被认为在较短的面板上更有效。对JSE Top40指数上市公司的GMM分析时间为2008年至2020年。总体而言,所采用的方法和分析为高管薪酬、不平等、公司治理和公司绩效之间的复杂性提供了有价值的见解,揭示了影响公司绩效的重要因素。 研究发现:结果表明,随着高管薪酬的提高,公司绩效恶化。此外,还记录了不平等对绩效衡量的各种影响。观察发现,不平等以多种方式影响表现。这更突出了这种关系的复杂本质。该研究还证实,不平等和公司治理都是高管薪酬影响绩效的渠道。此外,还发现公司治理与净利润率之间存在正相关关系。 研究局限性/启示:研究结果表明:高管薪酬较高并不一定会带来更好的公司绩效;高管薪酬对绩效的影响受公司内部不平等程度和公司治理实践质量的调节;良好的公司管治措施可提高财务表现。建议公司应优先支持健全的公司治理做法,因为它们对业绩有积极影响。此外,必须认真关注高管薪酬的配置方式。设计糟糕的薪酬方案会侵蚀公司价值。相反,结构合理的公司可能会提高绩效,进而提高公司价值。本研究仅针对南非前40大上市公司。研究结果可能并不适用于所有上市公司,因为不同规模的公司,高管薪酬、不平等和公司治理之间的关系可能存在差异。由于研究集中在最大的实体上,这项研究可能会掩盖小公司中存在的细微差别。然而,重要的是要指出,从这项研究中获得的见解仍然是有价值的,可以为政策制定者、股东和其他利益相关者提供有用的指导,帮助他们理解在大公司背景下所研究的变量之间的相互作用。未来的研究应考虑扩大样本范围,包括更广泛的上市实体,以更全面地了解整个企业格局中的这些关系。 原创性/价值:本研究弥补了Core等人所强调的研究缺口。
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
Global Business and Finance Review
Global Business and Finance Review Economics, Econometrics and Finance-Finance
CiteScore
1.20
自引率
0.00%
发文量
37
审稿时长
16 weeks
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