The empirical study of executive compensation in China port and shipping listed companies based on the Grey relational analysis. Issue 2 (1st August 2016)

• Record Type: Journal Article
• Authors: Chen, jiajia; Zhang, Rong; Liu, Bin
• Editors: Liu, Sifeng; Xie, Naiming
• Is Part Of: Grey systems. Volume 6:Issue 2(2016)
• Publication Date: 2016-08-01
• Subjects: Cybernetics -- Periodicals; Systems engineering -- Periodicals; 003.5
• DOI: 10.1108/GS-09-2015-0069
• Languages: English
• ISSNs: 2043-9377

Abstract

Abstract : Purpose: The purpose of this paper is to find the key influence factors of executive compensation within China ports and listed shipping companies and provide some reasonable suggestions. Eventually, help to perfect the executive compensation evaluation mechanism against the background of new area. Design/methodology/approach: Grey correlation analysis is an important part of Grey system theory. Professor Liu Sifeng further studies the relationship between two sequences absolute increment on the basis of Deng's degree and put forward the "Grey absolute correlation degree", which is widely used in practice. In the study, on the basis of the area of the line between sequences size, it measures the correlation degrees of firm performance, executive stock-holding, continuous growth capacity and other relevant factors of executive payment in China ports and listed shipping companies. Findings: The paper concludes that the main factors influence CEO salary in China ports and listed shipping companies are Return on Equity and Growth Rate of Fixed Assets. However, we consider the frequent occurrence of executives' corruption in China listed state-owned enterprise under the environment of financial and economic crisis, we argue that the significant influence of Net Assets attributed to shareholders can't be ignored. In addition, Cash Flow in operating activities and Executive Stock-holding both have relatively important effect on executive compensation. Research limitations/implications: This paper still has some limitations. First, it merely takes into account the financial indicators and ignores the influence of non-financial indicators to the performance evaluation of listed companies, such as: innovation ability, human capital and goodwill. Second, it has not considered the power consumption and other types of "invisible income" in the executive compensation structure, neither the influence of investing and financing activities on corporate performance. Consequently, these are likely to cause a certain deviation to the results of the study. Practical implications: The outcome obtained in this paper can be provided for China ports and listed shipping companies to establish a reasonable executive compensation evaluation and incentive mechanism under the background of depressed shipping market. Originality/value: Although scholars have done many studies about the association analysis of executive compensation and firm performance, they neglect the economic environment of industry. Meanwhile, Considering the Non-financial indicators and incomplete information, this paper studies the Grey correlation analysis of executive compensation and influence factors in China ports and listed shipping firms under the background of the Chinese flagging shipping industry.