By:
Steven Goldbaum
Proposal: I would like to do a network analysis of the major
oil companies involved in building oil and gas pipelines in Europe and Asia. (I
will not be taking the second half of the course this year but hope to take it
next year.)
Background: Energy is essential for the functioning of a
modern economy. However, energy resources (oil and natural gas) are not evenly
distributed throughout the world. Thus a critical component of a nation’s
foreign policy is securing enough energy for current consumption and future
economic growth. Most of the world’s oil and natural gas is concentrated in an
ellipsis stretching from the Persian Gulf to Northern Russia. While there is a
massive networks of pipelines that distributes energy to Europe, there is far
less infrastructure towards the rapidly industrializing nations in Asia, China
and India the largest among them.
Research Questions:
Looking at existing and planned energy infrastructure
projects in Eurasia, is there a reorientation in supply towards Asia (primarily
China and India)?
Which oil majors/countries are the most influential in oil
and gas infrastructure creation?
Are Asian countries beginning to collaborate more with other
international firms and whom are they primarily collaborating with?
Within these collaborations do we see distinct camps being
formed among certain groupings of companies and countries?
Hypothesis:
There is a reorientation of pipelines towards Asia. However, it is in its
early phase.
Western oil companies have a much higher rate of
collaboration than Asian firms.
Distinct groups off collaboration will form along national
lines with Asian led projects but that there will not be distinct camps of
collaboration with European/American led projects.
Data:
Data collection will be the most difficult part of this
project. While I have found databases on terrorist attacks on energy
infrastructure, I have not been able to find business-oriented data on
international oil and gas pipeline infrastructure. I would have to pull
information from existing open source material. This is doable because I am
only concerned with international pipelines and the oil and gas fields they
connect. The first data point will be both the companies who own the
international pipelines and the companies who are owners of the fields that
supply the pipelines. The second data point will be the number of times these
companies have collaborated together. The third data point will be the percentage
of ownership on the project that they collaborated on.
Attribute Data:
Nation (incorporation of the company)
Role (pipeline consortium, extraction, both)
Project (which pipeline)
Project Direction (Asian market, or European market)
Analyzing the Network
To answer all of the research questions it may be necessary
to create multiple network maps, one for collaborative projects that transport
energy to Asia and another for energy going elsewhere. There are multiple
options for measuring the strength of network ties. Ties between companies
could be based on: 1.) The number of projects they collaborated on or 2.) Based
on the combined percentage of ownership on the projects that they did
collaborate on.
While analyzing the network, I will focus on the following:
Frequency of Collaboration: Looking at the number of ties
between each company to determine which companies have the most collaborative
projects. I will also determine the nature of the ties by looking at the values
attached to those ties. Companies might have frequent collaborations but with a
low ownership of the project, or they could have few collaborations but with
more substantial ownership. I would also determine this by country as well to
determine which country is influential through the actions if its energy
companies.
Subgroups and Cliques: this measure will help determine if
countries and companies tend to form groups and if they do how much collaboration
across groups are there? If there are significant cliques forming, identifying
companies that are part of multiple cliques could indicate higher collaboration
and influence across regions.
Critical Nodes: In addition to which companies have the most
collaboration, I would also look at the Eigenvector centrality measurement.
This measurement would be especially important for smaller oil companies who do
not operate globally but control ownership of regional oil and gas fields. The
utility of this measure is to illustrate if there is a tendency of smaller
firms to collaborate with other firms that are highly collaborative.
This research proposal encompasses one element of energy
politics in the region. It is well known that due to the strategic nature of
energy, oil and gas companies often work hand-in-hand with their governments to
build relationships and drive outcomes that are advantageous to the security of
their own country. If the findings of this network analysis are significant,
tying it into the larger picture of the geopolitics of energy in Eurasia could
prove an interesting next step.
Sources: Image: http://www.exploringgeopolitics.org/about/blog/page/2/
1 comment:
You could make some money off this if you managed to come up with predictive network effects. As you point out, the key to doing this (other than access to commercial data) is determining what the meaningful networks are, although collaborations on previous projects seems like a good starting point. Another thing I thought you'd mention is directionality; pipelines tend to send oil in one direction, and you could do some nice tricks with the directional tie strength between exporting and importing countries, perhaps overlaid with GDP or other meaningful economic data, since company-level data are hard to get.
Nice job.
Post a Comment