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The association between disclosures on control system over financial reporting and mechanisms of corporate governance: Empirical evidence from Germany and Poland Cover

The association between disclosures on control system over financial reporting and mechanisms of corporate governance: Empirical evidence from Germany and Poland

By:   
Open Access
|Nov 2020

Figures & Tables

Table 1

Definitions of variables

VariableMeaningMeasure
Dependent variable
SDScope of disclosuresNumber of detailed disclosures regarding the system of control over financial reporting presented in the annual report
Independent variables
CSBSupervisory board committeesNumber of supervisory board committees
MSBMeetings of the supervisory boardNumber of meetings of the supervisory board in a year
MCMeetings of the audit committeeNumber of meetings of the audit committee in a year
IMSBIndependent members of the supervisory boardIn the case of companies listed in Poland, this variable was measured by the share of independent members of the supervisory board in the total of all members. In the case of companies listed in Germany, this variable was measured by the share of independent members of the supervisory board in the total number of supervisory board members who are shareholders’ representatives. When measuring the variable, employees’ representatives on the supervisory board were not taken into account. In most companies they make up half of the board's composition, and the surveyed companies indicated that these members always have the status of independent members.
LBSThe largest block of sharesThe size of the largest block of shares
Control variables
AAssetsValue of the total assets in thousand euro

[i] Source: Author's own compilation.

Table 2

Descriptive statistics

Statistics
SDCSBMSBMCIMSBLBSA
Companies from the WIG 30 and DAX indexN59595650595959
Mean14.053.497.415.62.51.3187,213,243.39
Median14.003.006.005.00.50.2916,778,500.00
Standard deviation5.681.783.602.28.28.21238,287,779.20
Minimum3040.00.00269,996.00
Maximum25822111.00.751,611,400,000.00
Companies from the WIG 30 indexN29292620292929
Mean12.212.319.156.35.36.449,560,322.77
Median12.003.008.006.00.36.444,894,776.00
Standard deviation6.071.204.502.323.21.1812,093,603.20
Minimum3042.00.13269,996.00
Maximum25422111.00.7548,039,909.00
Companies from the DAX indexN30303030303030
Mean15.834.635.905.13.65.18162,277,733.30
Median14.004.005.005.00.61.1035,391,000.00
Standard deviation4.711.501.562.14.28.16318,687,882.50
Minimum8240.00.005,798,000.00
Maximum25810111.00.591,611,400,000.00

[i] SD, Scope of disclosures; CSB, Number of supervisory board committees; MSB, Number of meetings of the supervisory board; MC, Number of meetings of the audit committee; IMSB, Independent members of the supervisory board; LBS, the largest block of shares; A, Assets.

[ii] Source: Author's own compilation.

Table 3

Correlations between variables (Pearson's coefficient)—companies from the WIG 30 and DAX indexes

SDCSBMSBMCIMSBLBSA
SD1.000
CSB.496**1.000
MSB.203−.1151.000
MC−.145.135.328*1.000
IMSB.248.399**−.297*.0311.000
LBS−.119−.509**.262−.023−.516**1.00
A.115.362**−.052.340*.233−.319*1.000

* p < 0.05;

** p < 0.01

SD, Scope of disclosures; CSB, Number of supervisory board committees; MSB, Meetings of the supervisory board; MC, Number of meetings of the audit committee; IMSB, Independent members of the supervisory board; LBS, the largest block of shares; A, Assets.

Source: Author's own compilation.

Table 4

Regression analysis (Model 1). Dependent variable: Scope of disclosures

Type of modelExpected directionModel 1. Companies from the WIG 30 and DAX index
123
N59
Beta coefficients
CSB+.457**
MSB+.452**
MC−.371*
IMBS+.218
LBS+.147
A+.037
ModelsValues
Adj. R20.230
F3.440**

p < 0.1;

* p < 0.05;

** p < 001

Predictors: (Constant); CSB, Number of supervisory board committees; MSB, Number of meetings of the supervisory board; MC, Number of meetings of the audit committee; IMSB, Independent members of the supervisory board; LBS, the largest block of shares; A, Assets.

Source: Author's own compilation.

Table 5

Regression analysis (Model 2 and 3). Dependent variable: Scope of disclosures

Type of modelExpected directionModel 2. Companies from the WIG 30 indexModel 3. Companies from the DAX index
1234
N2930
Beta coefficientsBeta coefficients
CSB+.384*.530**
MSB+.363*
MC−.515*
IMBS+.381*
LBS+.310
A+−.137.144
ModelsValuesValues
Adj. R20.2710.253
F3.328*3.460*

p < 0.1;

* p < 0.05;

** p < 0.01

Predictors: (Constant); CSB, Number of supervisory board committees; MSB, Number of meetings of the supervisory board; MC, Number of meetings of the audit committee; IMSB, Independent members of the supervisory board; LBS, the largest block of shares; A, Assets.

Source: Author's own compilation.

DOI: https://doi.org/10.2478/ijme-2020-0028 | Journal eISSN: 2543-5361 (formerly 2299-9701) | Journal ISSN: 2299-9701
Language: English
Page range: 351 - 369
Submitted on: Sep 17, 2019
Accepted on: Sep 24, 2020
Published on: Nov 6, 2020
Published by: SGH Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
JEL:

© 2020 Jacek Gad, published by SGH Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.