Information and Society Research Division, National Institute of Informatics, Tokyo, Japan.
Public Policy School, Hokkaido University, Sapporo, Hokkaido, Japan.
PLoS One. 2023 Aug 24;18(8):e0290229. doi: 10.1371/journal.pone.0290229. eCollection 2023.
We propose a model and algorithm to measure the amount of influence a shareholder has over the flow of corporate control held by the ultimate owners. Existing models of corporate ownership and control either focus on the ultimate owners' influence or inadequately evaluate the influence possessed by intermediate shareholders in a ownership network. As it extends Network Power Index (NPI) that describes the the power of corporate control possessed by the ultimate owners, our new model, Network Power Flow (NPF), delineates the distribution of ownership influence among shareholders across the network and identifies the channels through which the ultimate owners' corporate control travel through the global shareholding network. Our analysis of NPI and NPF values for 7 million ultimate owners and 16 million shareholders reveals a new landscape of ownership and control in the global shareholding network that remained opaque before.
我们提出了一个模型和算法，用以衡量股东对终极所有者所持公司控制权流动的影响程度。现有的公司所有权和控制权模型要么关注终极所有者的影响，要么未能充分评估所有权网络中中间股东所拥有的影响。我们的新模型网络权力流（NPF）扩展了描述终极所有者所拥有的公司控制权的网络权力指数（NPI），它描绘了股东在网络中的所有权影响分布，并确定了终极所有者的公司控制权通过全球持股网络传递的渠道。我们对 700 万个终极所有者和 1600 万个股东的 NPI 和 NPF 值的分析揭示了一个全新的全球持股网络的所有权和控制权格局，这在以前是不透明的。
