Journal of Regulation Studies 2022 KCI Impact Factor : 2.09

Korean | English

pISSN : 1738-7132
Aims & Scope
『Regulatory Study』 is an academic journal published by the Korea Society for Regulatory Studies and aims to revitalize research on regulatory reform to create a market economy. By providing a venue for academic research related to regulation through this journal, research in the field of government regulation can be deepened, awareness of the necessity and importance of regulatory research can be spread to the academic community, and meaningful policy proposals for regulatory management can be made.   The scope of 『Regulatory Study』 is related to the development and diffusion of regulatory theories, verification of the effectiveness of regulatory policies, research on developing regulatory management tools, and in-depth understanding of market economy. Other studies on the relationship between policies and markets, such as studies on the impact of various government policies on the market economy, can be the subject of this study.   Therefore, studies related to the above topics are subject to review and publication in this journal, and the editorial committee expects these studies to be actively sumitted to the journal.
Kim, Jinguk

(Paichai University)

Citation Index
  • KCI IF(2yr) : 2.09
  • KCI IF(5yr) : 1.41
  • Centrality Index(3yr) : 2.029
  • Immediacy Index : 0.0909

Current Issue : 2023, Vol.32, No.1

  • An explanatory study on Regulation of Online Platform Collusion by Algorithm

    Yang Ji Won | Tae-Yun Kim | 2023, 32(1) | pp.3~35 | number of Cited : 0
    Abstract PDF
    There are many discussions about whether Collusion by Algorithm can be regulated under the fair trade regulatory framework. However, there is no discussion considering the uniqueness of online platform market structure. With this problem in mind, this paper attempts to analytically identify the regulatory possibility of Collusion by Algorithm linking the market structure specificity of online platforms. As a result of the analysis, depending on the type of Collusion by Algorithm, it was found that even information exchange agreements could not be confirmed. In addition, in the competitive bottleneck market, which is the market structure specificity of the online platform, the competition restriction of Collusion by Algorithm is ambiguous. Thus, it is not easy to judge the competition restriction in reality. This study found that, considering the uniqueness of the market structure of online platforms, Collusion by Algorithm may have different regulatory possibilities and policy considerations in the stages of proof of agreement and competition restriction, depending on the type of Collusion by Algorithm.
  • Analysis of Korea's Regulatory Sandbox and its Implications:Focusing on Indusrial Convergence Sector

    Lee Hye Young | 2023, 32(1) | pp.37~70 | number of Cited : 0
    Abstract PDF
    This study analyzed the actual operation of the regulatory sandbox from the perspective of regulatory reform and derived implications. A review was conducted for the regulatory sandbox approval tasks in the field of industrial convergence from 2019 to 2021. According to the analysis, designation of special cases for demonstration accounted for 75.3% of the total, and multi-ministerial tasks accounted for 22.7%. Most of the approval tasks (96%) included additional conditions, and 162 of the additional conditions were economic regulations, and by detailed type, 35.8% business scope limitation, 11.1% manpower conditions, 8.6% facility conditions, 6.8% user limitation, and 6.8% regional limitation. As a result of the analysis of the regulatory improvement tasks, 34 of the 198 regulatory sandbox approval tasks were completed. Based on the analysis results, it was confirmed that various innovations in the industrial convergence sector were being attempted through the regulatory sandbox, and cooperation between companies and the government through the regulatory sandbox continued. Nevertheless, active cooperation among regulatory ministries with many multi-ministerial tasks is required. It is required to closely verify the validity and necessity of economic regulations when they are included. In addition, efforts to analyze and collect data after applying the regulatory sandbox should be concentrated.
  • Influence of Regulation Characteristics and Collaborative Network Attributes on Decision Lag in Regulation Improvement

    정지혜 | Park, Sunjoo | SongJune Kim and 1 other persons | 2023, 32(1) | pp.71~119 | number of Cited : 0
    Abstract PDF
    This study investigates the factors that influence decision lag in the regulatory improvement process using the policy lag theory as a framework. Social network analysis is utilized to measure the collaborative characteristics of regulatory agencies. 198 cases of regulations in the corporate field registered on the Regulatory Information Portal between 2017 and 2018 are analyzed using multi-level analysis. The study found that decision lag is more likely to extend when the benefits of regulatory improvement are concentrated on a specific policy target group. In regulatory work, the more inbound and outbound requests for collaboration, the higher the lag in regulatory improvement decisions. Additionally, betweenness and eigenvector centralities of regulatory agencies are found to significantly shorten decision lag. These results highlight the importance of these factors in improving the efficiency of regulatory improvement processes and contribute to regulatory policy and practice.