Javier García-Bernardo
University of Amsterdam
June 12th, 2019
The CORPNET research group uncovers, investigates and aims to understand global networks of corporate power in contemporary global capitalism
PI: Eelke Heemskerk
Power: the capacity of actor A to make actor B do something that B would not otherwise do or as the exercise of such a capacity (Mark Haugaard).
Consciously (e.g. lobbying, agenda-setting) or unconsciously (e.g. ideology).
Direct (e.g. lobbying to the government), or indirect (e.g. lobbying to the unions, which then have power over the government).
All power is relational.
As such, we model actors as part of networks, and use methods from network science to analyze who is important in the network, and why.
Nodes: Companies
Edges: Ownership relations
Nodes: Countries
Edges: Ownership relations
Vitali, Glattfelder and Battitson, PlosOne (2011)
Babic, Garcia-Bernardo and Heemskerk (forthcoming)
Typically directed networks
Edges: Shared board membership
Edges: Shared director
Typically undirected networks
Nodes: Countries
Edges: Move to a new country
Marriage network of families in Florence.
Find the most powerful nodes in a network.
Main question: How do you define powerful?
Endless definitions of centrality...
How to calculate centralities? General idea
https://www.r-bloggers.com/from-random-walks-to-personalized-pagerank/
Example undirected networks
@fichtner_jan
Nodes: Companies
Edges: Ownership relations
Since the financial crisis --> Three trillions transferred from active to passive funds (cheaper)
Passive managers buys all the stocks in an index. Do not try to beat the market.
Usually, shareholders have three ways for exerting power/influence over companies: (1) Private engagements, (2) Voting, (3) Exit
Three firms combined have >90% of the market
Node size proportional to eigenvector centrality.
Fichtner, J; Heemskerk, E M; Garcia-Bernardo, Business and Politics (2017)
A centralized voting strategy is a fundamental prerequisite to using their shareholder power effective
They coordinate!
Fichtner, J; Heemskerk, E M; Garcia-Bernardo, Business and Politics (2017)
@mbabic_1
Nodes: Countries
Edges: Ownership relations
Babic, Fichtner, Heemskerk. The International Spectator (2017)
States not only regulate, enable and constrain corporate power; they are also actors in the global
economy as shareholders of corporations.
As owners of and investors in corporations, states use the transnational agency space to compete for returns on investments, thereby possibly creating (geo-)political ties.
This is not to say that state power is identical with corporate and class power; but states are 'juxtaposed' to those actors.
They have become important economic actors, playing juxtaposed to corporations
Babic, Heemskerk and Garcia-Bernardo (2019)
>100,000 investments
Node size:
Degree centrality
Babic, Heemskerk and Garcia-Bernardo (2019)
The transformation of state power (from regulators to actors) is not a one-way route
Clauset, Arbesman and Larremore. Science Advances (2015)
Morgan, Economou, Way and Clauset. EPJ Data Science (2018)
Ranking institutions
Transmission of information
Possible application: Understand the power of institutions, scientific journals, corporations
Community detection: which nodes form a cohesive group?
https://www.slideshare.net/ErikaFilleLegara/community-detection-with-networkx-59540229
(Javier Garcia-Bernardo, Jouke Huijzer)
@franktakes
@JoukeHuijzer
Nodes: Cities
Edges: Board interlocks between companies in the two cities
Heemskerk, Takes, Garcia-Bernardo and Huijzer ‘ Sociologica (2016)
5 million firms
Clustering: what are similar sequences?
Power: How does the global elite comes to be? What are important institutions and pathways?
@diliara_valeeva
Nodes: Countries
Edges: Directors' careers
2017
Telstra Corporation Limited (AU)
Career sequence:
NZ
|
IT
|
US
|
CH
|
AU
|
US
1996-2007
Sun Microsystems (NZ)
2007-2016
Juniper Networks Inc (IT)
2014
Tesla (US)
2016-2017
ABB Ltd (CH)
Robyn Denholm, chair of the Tesla board since Nov 2018
2018
Tesla (US)
~10k largest companies and 10k executive
New insights:
@javiergb_com
Tax avoidance
Crash course on "tax avoidance" (base erosion / profit shifting)
Caveat: Arm-length principle: Intra-group payments need to be priced at "market prices"
However: What's the market price of a mermaid on a coffee cup?
Reurink and Garcia-Bernardo (2018)
1990s:
- FDI started rising
- Double tax treaties and Investment treaties reduced withholding taxes
- Financialization of the firm: Financial profits started to have a higher weight
1) Increase the power of corporations over States: Ability to exit, and large size
Example: Shell
- British-Dutch oil and gas company headquartered in the Netherlands and incorporated in the United Kingdom.
1990s:
- FDI started rising
- Double tax treaties and Investment treaties reduced withholding taxes
- Intangibles started to have a higher weight
1) Increase the power of corporations over States: Ability to exit
2) Increased the power of some States:
- Attracting highly mobile parts of the firm
- Tax sovereignty
- BEPS
But which States?
Data provider: Orbis
~300 million companies
~100 million ownership links
15 companies per capita
Garcia-Bernardo, Fichtner, Takes, Heemskerk (2017)
Garcia-Bernardo, Fichtner, Takes, Heemskerk (2017)
Garcia-Bernardo, Janský and Tørsløv (forthcoming)
Small countries (OFCs) have large incentives and little restrictions to give de facto advantages to multinational corporations
That reduces the autonomy of other countries (especially in the EU) on taxation, and force them to decrease corporate tax rates.
Blocking EU legislation
Low tax rates for interests and intellectual property
@lajdacic
Talk at 12:30!
Source: World Inequality Database
Wealthy people have access to better investments and lower taxation
Computational methods allow you to find new approaches to answer questions of power
Supervised machine learning
- Training data: Give titles with labels (important position / not important)
- Prediction: Give unlabeled titles
Mr Charles Ko - Quantitative Research Analyst, Global Quantitative Equity
Mr Colin D. Meadows - Senior Managing Director and Chief Administrative Officer
Database 1
Database 2
Now do it with 100 million names, you have
10,000,000,000,000,000 possible pairs
We collected a set of 8.6 million votes on 2.7 million unique proposals at AGMs worldwide. These votes are cast through 3,545 funds that are part of a set of 131 Asset Managers.
@thesailaway_CPH
Data: LinkedIn ads
Computational social science gives new methods useful for the understanding of power
Also new opportunities to automatize work:
corpnet.uva.nl
@javiergb_com
@uvaCORPNET
javiergb.com
corpnet@uva.nl
garcia@uva.nl
This presentation: slides.com/jgarciab/murten19