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Review of monopoly models and implications for antitrust.
- Source :
- Procedia Computer Science; 2022, Vol. 199, p495-502, 8p
- Publication Year :
- 2022
-
Abstract
- In February 2021, the Ministry of Commerce Anti-monopoly Bureau of the People's Republic of China released the Antitrust Guidelines for the Platform Economy Industry. This announcement signaled more governmental supervision and governance with Internet-related business. In practice, tech giants have been suffering administrative penalties one after another. This study presents a review and analysis of the research literature on the monopoly quantitative models, outlining the components and concluding the implications for anti-monopoly. This paper delineates three main research topics relating to the monopoly models within the literature: the oligopoly, monopolistic competition, and Internet platform monopoly. The Cournot model, Bertrand model, Stackelberg model, and Innovational model represent the oligopoly studies when a small group of large sellers dominates the market. We then discuss the monopolistic competition models as the Krugman model, D-S Model, and Lancaster Model. We pay particular attention to the platform economy to reflect the new era of monopoly with Marshall's Dilemma. After the summary and comparison of the literature research trajectory, our analysis culminates in implications for antitrust: why Internet corporations and government meet this monopoly predicament, who are involved by monopoly policy, how consumers and market got impacted, and what countermeasures could be taken to improve the antitrust. This study contributes to overview the development of monopoly models and critically analyze based on the current antitrust situation and trend of platform economy integration. We should scrutinize the feasibility to adopt engrain view of monopoly mechanisms as benefit loss on the information technology economy. Therefore, this research raises the novel question and synergistic effects of monopoly. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 199
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 155058140
- Full Text :
- https://doi.org/10.1016/j.procs.2022.01.060