USING NETWORK THEORY TO DETECT DOMINANT CARTEL FIRMS
| Autor: | Pilar Grau-Carles, Miguel Cuerdo-Mir |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Economics and Econometrics
05 social sciences Cartel Multiple applications Network theory 010501 environmental sciences 01 natural sciences Microeconomics Harm 0502 economics and business Economics Economic analysis Set (psychology) Centrality Cluster analysis Law 050203 business & management Industrial organization 0105 earth and related environmental sciences |
| Zdroj: | Journal of Competition Law and Economics. |
| ISSN: | 1744-6422 1744-6414 |
| DOI: | 10.1093/joclec/nhw016 |
| Popis: | Despite multiple applications of network theory in different fields of social and legal sciences in general, the possibility of applying this theory to the economic analysis of the antitrust law and, more specifically, to the study of cartels has not yet been considered. Nevertheless, the study of cartels as networks can advance some general elements and measurements that can help the detection and elimination of these organizational forms that cause evident harm to general well-being. This is the first time that the approach of network theory has been used to analyze cartels. This article uses a set of classical measures such as clustering and centrality measures, taken from network theory, and applies them to a specific case of a cartel sanctioned as such by the European Commission. This approach has enabled us to quantify some characteristic elements of the cartel, such as, for instance, a remarkable asymmetry between operators (nodes in the network), its different degree of influence (study of links), as well as the critical importance of some operators versus other cartelized agents, such that their elimination from the organization would not enable them to create their own cartel. This finding warrants reconsidering the antitrust policy based on leniency programs. |
| Databáze: | OpenAIRE |
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