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The empirical study of executive compensation in China port and shipping listed companies based on the grey relational analysis

Jiajia Chen (School of Economics and Management, Shanghai Maritime University, Shanghai, China)
Rong Zhang (Institute of Science Studies, Shanghai Maritime University, Shanghai, China)
Bin Liu (School of Economics and Management, Shanghai Maritime University, Shanghai, China)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 1 August 2016

415

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, the authors consider the frequent occurrence of executives’ corruption in China listed state-owned enterprise under the environment of financial and economic crisis, the authors argue that the significant influence of net assets attributed to shareholders cannot 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.

Social implications

This paper intends to use correlation analysis between firm performance, executive stock holding, sustainability and executive compensation in the new area of time, tries to make a greater contribution to the major component of salary policy and then make some suggestions on incentive supervising and restraining mechanisms for the ports and listed shipping firms in China.

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.

Keywords

Acknowledgements

This work is supported by National Natural Science Foundation of China grant numbers 71301045 and 71571117, and Key basis research program of Shanghai grant number 15590501800.

Citation

Chen, J., Zhang, R. and Liu, B. (2016), "The empirical study of executive compensation in China port and shipping listed companies based on the grey relational analysis", Grey Systems: Theory and Application, Vol. 6 No. 2, pp. 259-269. https://doi.org/10.1108/GS-09-2015-0069

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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