Currently, self-regulation is being made on random items in the game industry. For the first time in 2008, self-regulation were put in place but were not implemented at that time. In 2015, the self-regulation was reorganized, and since the self-regulation have been revised in 2017 and 2018, the enforcement rate is gradually increasing.
Since the introduction of random items in the market in the mid-2000s, the need for regulation of random items has been raised. As a regulatory method, the self-regulation was preferred to government regulation. It was argued that self-regulation has more advantages than government regulation as a regulation such as the use of professional knowledge, environmental adaptability and low execution cost. In order to take advantage of such self-regulation, self-regulation is introduced for random item regulation.
However, there may be a limit on whether the self-regulation of random item has advantages as self-regulation. In this study, we want to examine whether the self-regulation of random items really has a positive side as self-regulation. We analyze the positive and negative aspects of the self-regulation of random items.
A self-regulation is generally seen as an advantage over expertise, efficiency and adaptability. However, the analysis of random items reveals that the self-regulation of random items is not higher than government regulation in this respect. There is no specialty in the self-regulation of random items, and it is hard to say that regulatory efficiency is higher than that in government regulation. It is adaptable, but changes too frequently, which is not a benefit but a disadvantage.
There are limitations in terms of representativeness and in terms of accountability that are recognized as necessary for the proper operation of self-regulation. In other words, the self-regulation of random items does not show its merits as self-regulation, and it has the characteristics of compulsory self-regulation and repressive self-regulation to avoid direct government regulation.