Difference between revisions of "File:The Network of Global Corporate Control.pdf"

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|source_URL=http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0025995
 
|source_URL=http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0025995
 
|comment=An analysis of the relationships between 43,000 transnational corporations has identified a relatively small group of 147 companies (out of 30 million economic actors in the 2007 Orbit database) with disproportionate power over the global economy. Connectedness clusters over time and money flows towards the most highly connected members, for 'business reasons'. These findings not only contradict common book learning of how markets should behave, it has also implications for social power structures.
 
|comment=An analysis of the relationships between 43,000 transnational corporations has identified a relatively small group of 147 companies (out of 30 million economic actors in the 2007 Orbit database) with disproportionate power over the global economy. Connectedness clusters over time and money flows towards the most highly connected members, for 'business reasons'. These findings not only contradict common book learning of how markets should behave, it has also implications for social power structures.
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|authors_note=90% of the top 50 of the 147 core companies that hold disproportionate power belong to                                                  the financial sector according to the Supporting Information of the study.<ref>Supporting material: Acronyms and abbreviations, Data and TNC Network Detection, Network Control, Degree and Strength Distribution Analysis, Connected Components Analysis, Bow-Tie Component Size, Strongly Connected Component Analysis, Network Control Concentration, Additional Tables.doi:10.1371/journal.pone.0025995.s001
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http://www.plosone.org/article/fetchSingleRepresentation.action?uri=info:doi/10.1371/journal.pone.0025995.s001</ref>
 
|declassified=No
 
|declassified=No
 
|see_also=The author's [http://www.ted.com/talks/james_b_glattfelder_who_controls_the_world video presentation of the paper]
 
|see_also=The author's [http://www.ted.com/talks/james_b_glattfelder_who_controls_the_world video presentation of the paper]

Revision as of 05:41, 5 October 2014

Network analysis of the structure of global corporate interleaved ownerships and revenues.

Disclaimer (#3)Document.png paper  by Stefania Vitali, James B. Glattfelder, Stefano Battiston dated 2011/10/26
Subjects: Globalisation, Corporate power
Source: PLOS One (Link)


Wikispooks Comment

An analysis of the relationships between 43,000 transnational corporations has identified a relatively small group of 147 companies (out of 30 million economic actors in the 2007 Orbit database) with disproportionate power over the global economy. Connectedness clusters over time and money flows towards the most highly connected members, for 'business reasons'. These findings not only contradict common book learning of how markets should behave, it has also implications for social power structures.

Author's Note


90% of the top 50 of the 147 core companies that hold disproportionate power belong to the financial sector according to the Supporting Information of the study.[1]
See Also


The author's video presentation of the paper

★ Start a Discussion about this document



Abstract

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic ‘‘super-entity’’ that raises new important issues both for researchers and policy makers

  1. Supporting material: Acronyms and abbreviations, Data and TNC Network Detection, Network Control, Degree and Strength Distribution Analysis, Connected Components Analysis, Bow-Tie Component Size, Strongly Connected Component Analysis, Network Control Concentration, Additional Tables.doi:10.1371/journal.pone.0025995.s001 http://www.plosone.org/article/fetchSingleRepresentation.action?uri=info:doi/10.1371/journal.pone.0025995.s001

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