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Research on interval optimization of the proportion of female executives based on panel threshold model

Xing Wang (School of Business Administration, Hohai University, Changzhou, China) (School of Business, Hohai University, Nanjing, China)
Xuefeng Shao (School of Business Administration, Hohai University, Changzhou, China)

Journal of Organizational Change Management

ISSN: 0953-4814

Article publication date: 13 November 2017

250

Abstract

Purpose

This paper aims to seek the optimal proportion of female executives in corporate management teams, and to analyze the threshold effect of the proportion of female executives on the enterprise market value and enterprise management performance by using a panel threshold regression model. The purpose of this paper is to obtain the optimal interval, during which female executives exert positive effects on enterprise market value and enterprise management performance.

Design/methodology/approach

Based on the data of listed companies in SSE from 2003 to 2012, this paper conducts theoretical and empirical analysis by using a panel threshold regression model.

Findings

This paper proves that the proportion of female executives has a threshold effect on the enterprise market value and enterprise management performance. The results show that the proportion of female executives has an optimal interval. In other words, during the 53.8-68.4 percent interval, the proportion of female executives exerts the least negative effect on the enterprise market value and the most positive effect on the enterprise management performance.

Originality/value

In this paper, the non-linear relationship between female executives, enterprise market value and enterprise management performance has been verified, and the optimization interval of the female executives’ proportion has been figured out as well.

Keywords

Citation

Wang, X. and Shao, X. (2017), "Research on interval optimization of the proportion of female executives based on panel threshold model", Journal of Organizational Change Management, Vol. 30 No. 7, pp. 1081-1092. https://doi.org/10.1108/JOCM-09-2016-0177

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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