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2016 | OriginalPaper | Chapter

3. Results of a Survey in Germany, Austria, and Switzerland on How to Prevent Violations of Competition Laws

Authors : Georg Götz, Daniel Herold, Johannes Paha

Published in: Competition Law Compliance Programmes

Publisher: Springer International Publishing

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Abstract

This report presents the results of a survey on competition law compliance in Germany, Austria, and Switzerland in which 86 large companies participated. The study shows that 80 % of the firms have implemented measures to identify and mitigate the risks of violating competition laws. The majority of firms and measures concentrate on legal risks (e.g. insufficient awareness of the content and scope of competition laws), whereas risks related to changes in the economic environment (e.g. entry into the market, competition by imports, and more intense competition) are rarely addressed. Risk mitigation heavily relies on competition law training, even though these measures hardly seem sufficient. This is obvious from the fact that 71 % of the firms whose employees had violated competition laws in the past had already trained these employees before the misconduct occurred. We conclude from our study that those measures should be improved that help to detect cartelisation risks at an early stage. Furthermore, sanctions imposed by the firms on the offenders of competition laws require a clearer design and more systematic communication.

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previous chapter Competition Law Compliance Programmes: A Law and Economics Perspective
next chapter Reducing Antitrust Violations: Do Codes of Conduct and Compliance Training Make a Difference?
Footnotes
1
Gesetz gegen Wettbewerbsbeschränkungen (GWB, Act Against Restraints on Competition), Kartellgesetz (KartG in Austria or KG in Switzerland, Anti-Trust Law).
 
2
Note that five of them had quit the survey before answering the detailed questions on risk identification. Another 12 firms quit during the process of answering these questions.
 
3
As before, we calculate the percentage shares of the answers yes and no while excluding ns and qs. This ensures the comparability of percentages even when the firms quit the survey. To provide an example, consider two situations A and B:
         A:  yes = 40  no = 40  qs = 6
         B:  yes = 30  no = 30  qs = 26
Our calculation ensures that yes and no are assigned a percentage share of 50 % in both cases.
 
4
Paha (2014) provides a theoretical foundation of the decision behaviour in situations where agents possess imperfect information about competition law enforcement.
 
5
Similar developments can be seen among others in the following law proceedings: Zinc phosphate (COMP/E-1/37.027), monochloroacetic acid (COMP/E-1/C.37.773), fittings (COMP/F-1/38.121) organic peroxide (COMP/E-2/37.857).
 
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Metadata
Title
Results of a Survey in Germany, Austria, and Switzerland on How to Prevent Violations of Competition Laws
Authors
Georg Götz
Daniel Herold
Johannes Paha
Copyright Year
2016
Book
Competition Law Compliance Programmes

Print ISBN: 978-3-319-44632-5

Electronic ISBN: 978-3-319-44633-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-44633-2_3