Appearance of unstable monopoly state caused by selective and concentrative mergers in business networks
File(s)
Published version
Author(s)
Goto, Hayato
Viegas, Eduardo
Jensen, Henrik Jeldtoft
Takayasu, Hideki
Takayasu, Misako
Type
Journal Article
Abstract
Recently, growth mechanism of firms in complex business networks became new targets of scientific study owing to increasing availability of high quality business firms’ data. Here, we paid attention to comprehensive data of M&A events for 40 years and derived empirical laws by applying methods and concepts of aggregation dynamics of aerosol physics. It is found that the probability of merger between bigger firms is bigger than that between smaller ones, and such tendency is enhancing year by year. We introduced a numerical model simulating the whole ecosystem of firms and showed that the system is already in an unstable monopoly state in which growth of middle sized firms are suppressed.
Date Issued
2017-07-11
Date Acceptance
2017-05-26
Citation
Scientific Reports, 2017, 7 (1)
ISSN
2045-2322
Publisher
Nature Publishing Group
Journal / Book Title
Scientific Reports
Volume
7
Issue
1
Copyright Statement
© 2018 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
SCALING BEHAVIOR
COMPLEX NETWORKS
GROWTH
DYNAMICS
UNIVERSALITY
RESILIENCE
SYSTEMS
FIRMS
Publication Status
Published
Article Number
5064
Date Publish Online
2017-07-11