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Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

Front. Eng    2015, Vol. 2 Issue (2) : 159-164    https://doi.org/10.15302/J-FEM-2015026
Engineering Management Theories and Methodologies
An Empirical Study on the Internal Control Efficiency of Listed Engineering Companies
Zhi-wen Wang(), Jing Tong
International College, Central South University of Forestry and Technology, Changsha 410004, China
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Abstract

The authors carried out an empirical study on the internal control efficiency of publically listed engineering companies in China. This study presents an exploration of the relationship of independent director ratios, audit committee quality and auditor independence with the internal control efficiency of publically listed engineering companies and forward suggestions and recommendations on raising the internal control efficiency of publically listed engineering companies.

Keywords internal control efficiency      board of directors      independent directors      audit committee     
Corresponding Author(s): Zhi-wen Wang   
Online First Date: 12 October 2015    Issue Date: 12 November 2015
 Cite this article:   
Zhi-wen Wang,Jing Tong. An Empirical Study on the Internal Control Efficiency of Listed Engineering Companies[J]. Front. Eng, 2015, 2(2): 159-164.
 URL:  
https://academic.hep.com.cn/fem/EN/10.15302/J-FEM-2015026
https://academic.hep.com.cn/fem/EN/Y2015/V2/I2/159
Variables Variables code Variables name Variable definition
Dependent variable ICE Internal control efficiency Internal control efficiency take 1, otherwise 0
Independent variable IDRatio The ratio of independent directors The ratio of the total number of independent directors and the board of directors
ACFE The audit committee quality The ratio of expertise with financial accounting knowledge in audit committee
ARatio Auditor independence Audit fees accounted for the ratio of all charges
Tab.1  Logistic Regression Model Variables
Average value Maximum value Minimum value
ICE 0.36 1 0
IDRatio 0.37 0.71 0.25
ACFE 0.41 1 0
ARatio 0.71 1 0
Tab.2  Descriptive Analysis
ICE IDRatio ACFE ARatio
ICE 1 0.35 0.16 0.08
IDRatio 0.35 1 −0.03 −0.06
ACFE 0.16 −0.03 1 0.07
ARatio 0.08 −0.06 0.07 1
Tab.3  Correlated Coefficients
Forecast signs Estimated coefficient Wald test value
IDRatio + 2.54 1.01
ACFE + 0.03 −0.06
ARatio + 0.05 0.16
Tab.4  Regression Analysis Results
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