Earlier in the semester we learned that collective
action problems are situations in which individuals have an incentive not to
cooperative in group-work if they believe others will cooperate instead. These
problems often result in free riding and prisoner’s dilemma type situations, as
one party is only looking out for his or her own self interests. Since this
lecture back in early October, I have encountered collective action problems in
all three of my other classes.
This video clip from a Dilbert episode explains a prisoner's dilemma:
More recently, in my American Government class, we
spent a great deal of time discussing collective dilemmas, or situations that
arise when the goals of two groups differ. These are fairly common, especially
in politics when people must work together to accomplish a single goal. There
are three different types of collective dilemmas. The first type is a
principal-agent problem, or a problem that arises when there is a conflict of
interest between two groups or individuals who must make a decision. This may
occur when one party has information that the other is lacking, or when the two
parties disagree on what action should be taken. The second type of a
collective dilemma is a coordination problem. These types of problems occur
when one does not know what the other party is going to do, yet still needs to
negotiate a problem. The example my Professor gave here was two cars that are
about to crash. Finally, the third types of collective dilemmas are collective
action problems, which we learned about in Poli Sci 101.
In my American Government class, we learned about
collective dilemmas when we read “The Theory of Groups and Organizations,” a
chapter in Mancur Olson’s The Logic of Collective Action: Public Goods and the Theory of Groups. Olson thought
that small groups were the answer to collective-action problems. Larger groups
will have higher initial costs and they will not be able to further their
common interests as much as a small group. Small groups, however, have fewer
opportunities to free ride, and individuals get a larger “piece of the pie” in
the end (Olson 28).
Photo: People and the Commons
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In my Environment 201 class, we also learned about similar situations with Garret Hardin’s Tragedy of the Commons. Many people pollute because they feel that they will not make a big enough impact to make a considerable difference. Since they think others are recycling, they feel it is unnecessary for them to contribute. This obviously becomes an issue when everyone thinks with this mindset.
The approaches I learned about in my Environment
class and Poli Sci 101 were the most similar. Both suggest that equal
cooperation is the most logical solution. However, in my American Government
class, Olson believes that free riding is inevitable, and the only way to
prevent free riding is to eliminate the opportunity by spreading the
responsibility among fewer individuals.
Image by James Yang
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A common, real life example of a collective action
problem, especially for students, is working on a group project. With an
extremely high incentive to free ride, what is the most efficient approach to
assure equal participation? Is it better when professors make group members
complete task-lists and peer evaluations to ensure an equal division of work,
or is it better to just limit group sizes? Is forcing an equal level or
cooperation enough, or is Olson correct in saying that the only way to truly
eliminate the possibility of free riding to eliminate large groups? Personally,
after working on many group projects, I have found that free riding still
occurs in small groups, and it can be very difficult and uncomfortable to give
a fellow classmate a poor ranking on a peer evaluation.
The grading system in Poli Sci 101 is a bit untraditional in that
students are able to decide which assessments to complete, and how heavily each
of these assignments are weighted. There are four options: conventional essays,
blogging, a solo new media project, and a group project. Each student is given
six units of kapital to invest in whichever assignment, or combination of
assignments, he or she chooses. A unit of kapital acts a multiplier. For
example, since each of the four assignments is worth 4,000 points, if I
were to invest three units of kapital in the group project, my final score
would be multiplied by three.
When I was deciding how to invest my kapital for this class, I chose not
to participate in a group project. My decision was partially based on my lack
of creativity, but also because I feared that it would result in a collective
action problem. If one of my group members had less kapital invested in our project,
how could I be convinced he or she would be completely dedicated? It would also
not be fair to expect the same amount of work from each group member if one is
receiving significantly fewer points.
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| Image from SaltMangoTree.net |
After reflecting on the solutions that Olson and Hardin offer, I
realized that when applied to group projects, collective action problems still
exist; small groups sizes and an attempt to mandate equal participation still
do not prevent free-riding. However, if everyone is made aware of exactly
how much each person is able to benefit from the work, than the work can be
divided accordingly. If I know that my partner can only earn 4,000 points from
our project, and am trying to earn 24,000 points, I would take on more of the
work. In this case, my partner is not free-riding because I am receiving a
larger benefit. While I originally thought the use of kapital may be result in
free-riding, I now think it could be an alternative, possibly even more
efficient, solution to collective action problems.



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