| 研究課題/領域番号 |
18K01300
|
|---|
| 研究機関 | 九州大学 |
|---|
研究代表者 |
VAN・UYTSEL S 九州大学, 法学研究院, 准教授 (30432842)
|
|---|
| 研究期間 (年度) |
2018-04-01 – 2021-03-31
|
| キーワード | algorithmic collusion / Asian competition / hub-and-spoke cartel / compliance / type I and II errors / cartel |
|---|
| 研究実績の概要 |
The research has focused on three different elements: 1) general issues in relation to algorithmic price collusion; 2) resale price maintenance (RMP) and algorithmic price collusion; 3) algorithmic price collusion and competition law in Asia. The general issues in relation to algorithmic collusion are dealing with the question on whether the current legal framework can be kept. For example, is the uncertainty related to algorithmic collusion justifying the Chicago error-cost presumption? Empirical research suggests that price discrimination is often the outcome than algorithmic collusion (Uber). This kind of research further suggests that network effects, asymmetric networks, multi-homing, market thickness and learning effects can also affect collusion. In terms of the readiness of competition law for algorithmic collusion, it is held that most of the situations that are currently feasible with algorithms can be caught by competition laws. The research on RPM has focused on the four cases in the EU. The lessons that we have drawn from these cases is that in a vertical setting, the application of competition law is not problematic. However, we could see that the use of algorithms shifts competition to purely price competition. Algorithmic collusion in Asia is focusing to what extent the domestic Asian competition laws can deal with algorithmic collusion. Preliminary findings have shown that extending various Asian competition laws to algorithms assisting price fixing is possible. However, a hub-and-spoke cartel may require legislative adjustments.
|
| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The plan was to organize an international workshop during the second year of this grant in order to collect further insights of international scholars and this in relation to algorithmic collusion. The conference had two different parts. On the one hand, there was a conference that focused on theoretical problems related to algorithmic collusion. One the other hand, there was a conference that focused on the Asian competition law approaches towards algorithmic collusion. By already making an advancement in the area of Asian competition law, the research is slightly ahead of what was put forward in the grant proposal.
|
| 今後の研究の推進方策 |
During FY2020, the research will further focus on deepening the insights of the Asian competition law perspectives on algorithmic collusion. Within the Asian context, the research will also focus on what is happening with firms that are using the algorithms. There is a growing concern that firms using algorithms are being steered by the same shareholders. This kind of behavior is known as horizontal shareholding or, more generally, common shareholding. Besides this small extension of the research, it is necessary to further investigate what kind of information is available for algorithms to collude. Literature suggests that algorithms can take any kind of information. However, RPM cases suggests that algorithms assisting in colluding are mainly focused on the price.
|
| 次年度使用額が生じた理由 |
The grant will be used to 1) prepare books on issues related to algorithms in the framework of the digital economy; 2) search bibliographical data; 3) attend conferences and workshops to gather content data; 4) present the research at conferences and workshops.
|
| 備考 |
The first conference mainly focused on theoretical aspects while the second one highlighted Asian perspectives.
|
