Network of 147 Companies Controls Nearly 40% of Global Economic Value of Transnational Corporations
October 21, 2011 in News

A diagram of network topology models from the study, particularly the bow-tie structure that is most applicable to the transnational corporate network of global capitalist ownership.
Revealed – the capitalist network that runs the world (New Scientist):
As protests against financial power sweep the world this week, science may have confirmed the protesters’ worst fears. An analysis of the relationships between 43,000 transnational corporations has identified a relatively small group of companies, mainly banks, with disproportionate power over the global economy.
The study’s assumptions have attracted some criticism, but complex systems analysts contacted by New Scientist say it is a unique effort to untangle control in the global economy. Pushing the analysis further, they say, could help to identify ways of making global capitalism more stable.
The idea that a few bankers control a large chunk of the global economy might not seem like news to New York’s Occupy Wall Street movement and protesters elsewhere. But the study, by a trio of complex systems theorists at the Swiss Federal Institute of Technology in Zurich, is the first to go beyond ideology to empirically identify such a network of power. It combines the mathematics long used to model natural systems with comprehensive corporate data to map ownership among the world’s transnational corporations (TNCs).
“Reality is so complex, we must move away from dogma, whether it’s conspiracy theories or free-market,” says James Glattfelder. “Our analysis is reality-based.”
Previous studies have found that a few TNCs own large chunks of the world’s economy, but they included only a limited number of companies and omitted indirect ownerships, so could not say how this affected the global economy – whether it made it more or less stable, for instance.
The Zurich team can. From Orbis 2007, a database listing 37 million companies and investors worldwide, they pulled out all 43,060 TNCs and the share ownerships linking them. Then they constructed a model of which companies controlled others through shareholding networks, coupled with each company’s operating revenues, to map the structure of economic power.
The work, to be published in PloS One, revealed a core of 1318 companies with interlocking ownerships (see image). Each of the 1318 had ties to two or more other companies, and on average they were connected to 20. What’s more, although they represented 20 per cent of global operating revenues, the 1318 appeared to collectively own through their shares the majority of the world’s large blue chip and manufacturing firms – the “real” economy – representing a further 60 per cent of global revenues.
When the team further untangled the web of ownership, it found much of it tracked back to a “super-entity” of 147 even more tightly knit companies – all of their ownership was held by other members of the super-entity – that controlled 40 per cent of the total wealth in the network. “In effect, less than 1 per cent of the companies were able to control 40 per cent of the entire network,” says Glattfelder. Most were financial institutions. The top 20 included Barclays Bank, JPMorgan Chase & Co, and The Goldman Sachs Group.
Top 50 control-holders (The Network of Global Corporate Control):
| Rank | Economic actor name | Country | NACE code | Network position | Cumul. network control (TM, %) |
|---|---|---|---|---|---|
| 1 | BARCLAYS PLC | GB | 6512 | SCC | 4.05 |
| 2 | CAPITAL GROUP COMPANIES INC, THE | US | 6713 | IN | 6.66 |
| 3 | FMR CORP | US | 6713 | IN | 8.94 |
| 4 | AXA | FR | 6712 | SCC | 11.21 |
| 5 | STATE STREET CORPORATION | US | 6713 | SCC | 13.02 |
| 6 | JPMORGAN CHASE & CO. | US | 6512 | SCC | 14.55 |
| 7 | LEGAL & GENERAL GROUP PLC | GB | 6603 | SCC | 16.02 |
| 8 | VANGUARD GROUP, INC., THE | US | 7415 | IN | 17.25 |
| 9 | UBS AG | CH | 6512 | SCC | 18.46 |
| 10 | MERRILL LYNCH & CO., INC. | US | 6712 | SCC | 19.45 |
| 11 | WELLINGTON MANAGEMENT CO. L.L.P. | US | 6713 | IN | 20.33 |
| 12 | DEUTSCHE BANK AG | DE | 6512 | SCC | 21.17 |
| 13 | FRANKLIN RESOURCES, INC. | US | 6512 | SCC | 21.99 |
| 14 | CREDIT SUISSE GROUP | CH | 6512 | SCC | 22.81 |
| 15 | WALTON ENTERPRISES LLC | US | 2923 | T&T | 23.56 |
| 16 | BANK OF NEW YORK MELLON CORP. | US | 6512 | IN | 24.28 |
| 17 | NATIXIS | FR | 6512 | SCC | 24.98 |
| 18 | GOLDMAN SACHS GROUP, INC., THE | US | 6712 | SCC | 25.64 |
| 19 | T. ROWE PRICE GROUP, INC. | US | 6713 | SCC | 26.29 |
| 20 | LEGG MASON, INC. | US | 6712 | SCC | 26.92 |
| 21 | MORGAN STANLEY | US | 6712 | SCC | 27.56 |
| 22 | MITSUBISHI UFJ FINANCIAL GROUP, INC. | JP | 6512 | SCC | 28.16 |
| 23 | NORTHERN TRUST CORPORATION | US | 6512 | SCC | 28.72 |
| 24 | SOCIÉTÉ GÉNÉRALE | FR | 6512 | SCC | 29.26 |
| 25 | BANK OF AMERICA CORPORATION | US | 6512 | SCC | 29.79 |
| 26 | LLOYDS TSB GROUP PLC | GB | 6512 | SCC | 30.30 |
| 27 | INVESCO PLC | GB | 6523 | SCC | 30.82 |
| 28 | ALLIANZ SE | DE | 7415 | SCC | 31.32 |
| 29 | TIAA | US | 6601 | IN | 32.24 |
| 30 | OLD MUTUAL PUBLIC LIMITED COMPANY | GB | 6601 | SCC | 32.69 |
| 31 | AVIVA PLC | GB | 6601 | SCC | 33.14 |
| 32 | SCHRODERS PLC | GB | 6712 | SCC | 33.57 |
| 33 | DODGE & COX | US | 7415 | IN | 34.00 |
| 34 | LEHMAN BROTHERS HOLDINGS, INC. | US | 6712 | SCC | 34.43 |
| 35 | SUN LIFE FINANCIAL, INC. | CA | 6601 | SCC | 34.82 |
| 36 | STANDARD LIFE PLC | GB | 6601 | SCC | 35.2 |
| 37 | CNCE | FR | 6512 | SCC | 35.57 |
| 38 | NOMURA HOLDINGS, INC. | JP | 6512 | SCC | 35.92 |
| 39 | THE DEPOSITORY TRUST COMPANY | US | 6512 | IN | 36.28 |
| 40 | MASSACHUSETTS MUTUAL LIFE INSUR. | US | 6601 | IN | 36.63 |
| 41 | ING GROEP N.V. | NL | 6603 | SCC | 36.96 |
| 42 | BRANDES INVESTMENT PARTNERS, L.P. | US | 6713 | IN | 37.29 |
| 43 | UNICREDITO ITALIANO SPA | IT | 6512 | SCC | 37.61 |
| 44 | DEPOSIT INSURANCE CORPORATION OF JP | JP | 6511 | IN | 37.93 |
| 45 | VERENIGING AEGON | NL | 6512 | IN | 38.25 |
| 46 | BNP PARIBAS | FR | 6512 | SCC | 38.56 |
| 47 | AFFILIATED MANAGERS GROUP, INC. | US | 6713 | SCC | 38.88 |
| 48 | RESONA HOLDINGS, INC. | JP | 6512 | SCC | 39.18 |
| 49 | CAPITAL GROUP INTERNATIONAL, INC. | US | 7414 | IN | 39.48 |
| 50 | CHINA PETROCHEMICAL GROUP CO. | CN | 6511 | T&T | 39.78 |
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Hello,
Would you be able to show the same display highlighting all the companies that are under the
control of the Rothschilds like Lehman Brothers, Bear Sterns and Goldman Sachs etc, etc…
I think you will find that the Rothschilds control nearly everything in one way or another.
It would be interesting to see it displayed.
Cheers
Chris
I agree with the other poster: try to break this down to the top controlling families such as Rothschilds, Rockefellers, Morgans, Vanderbilts, Gates, Carnegies, Buffetts, Mellons, Fords, Waltons, Hearsts, Kochs, Mars, etc.
this does look like info for a process in place. still looks like a management level of work and management people working for the process. I am not sure if ownership is what you should be looking for as an answer. Maybe which government are these people working for. The digital computer tunnels could allow digital money to tunnel anywhere. It could stop in one computer and not even reach its true account number. We are not all running on the same computers. Many countries type in numbers only to get info from the internet. Maybe not doing certain money moves on the computer would clear the air for a closer look. I know we all use the net like a web(spider). Lately I see it as a road not paved depending on what we are looking for. Most of us have controlled language, education and a controlled bubble that we live in. We get pushed back from the total truth. Maybe the tallest building is not what we are looking for or fancy cars, homes and jets. good luck with your journey.
I’d like to see the top 50 companies and full list. The list is sorted from lowest to highest in cumulative nw control …
The results of the study are available in the accompanying link in the post:
http://arxiv.org/PS_cache/arxiv/pdf/1107/1107.5728v2.pdf
The study was conducted by researchers at the Swiss university ETH Zurich using complex methods of statistical analysis. It is highly recommended that you actually read at least some portion of the study before commenting.
Where is the full list of 147? there are only 50 listed here…