Search
Author
- Cauffman, Caroline (1)
- Li, Qian (1)
- Wu, Qian (1)
Subject
- dominance (1)
- economic theory (1)
- price discrimination (1)
- statutory dominant firms (1)
- next >
Date issued
- 2023 (2)
Has File(s)
- true (2)
Search Results
In digital markets, concentrated Big Data and analytical algorithms enable undertakings to predict each consumer’s willingness to pay with increasing accuracy and offer consumers personalized recommendations and tailored prices accordingly. In this context, concerns have arisen about whether and when AI-enabled price discrimination amounts to an abuse of dominance under competition law and would require a legal response. To address these concerns, this paper will analyze AI-enabled price discrimination from a comparative law and economics perspective. In economics, price discrimination is not always undesirable as it can increase static efficiency, and, on some occasions, it can promote dynamic efficiency and boost consumer welfare. |
Statutory dominant firms, different from dominant firms that have gained their market power through competition on the merits, have derived their market position from choices made by the state. From an economic perspective, tying by this kind of firm typically generates significant anti-competitive effects that are likely to outweigh the possible pro-competitive effects. Both in China and the EU, such tying practices have frequently taken place. Nevertheless, the economic findings have not been fully reflected in competition provisions and competition practice in these two jurisdictions. This may lead to error costs and enforcement costs, which is detrimental to consumer welfare. |
