2016•RePEc: Research Papers in EconomicsRequires access

Solving the second-order free rider problem in a public goods game: An experiment using a leader support system

Hiroki Ozono, Nobuhito Jin, Motoki Watabe, Kazumi Hiruma Shimizu

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Abstract

To study the collective action problem, researchers have investigated public goods games (PGG), in which each member decides to contribute to a common pool that returns benefits to all members equally. Punishment of non-cooperators—free riders—can lead to high cooperation in PGG. However, the existence of second-order free riders, who do not pay punishment costs, reduces the effectiveness of punishment. We focus on a “leader support system, ” in which one group leader can freely punish group followers using capital pooled through the support of group followers. In our experiment, participants were asked to engage in three stages: a PGG stage in which followers decided to cooperate for their group; a support stage in which followers decided whether to support the leader or not; and a punishment stage in which the leader could punish any follower. We found both higher cooperation and higher support for a leader achieved under linkage-type leaders—who punished both non-cooperators and non-supporters. In addition, linkage-type leaders themselves earned higher profits than other leader types because they withdrew more support. This means that a leader who effectively punishes followers could increase their own benefits and the second-order free rider problem would be solved.

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To study the collective action problem, researchers have investigated public goods games (PGG), in which each member decides to contribute to a common pool that returns benefits to all members equally. Punishment of non-cooperators—free riders—can lead to high cooperation in PGG. However, the existence of second-order free riders, who do not pay punishment costs, reduces the effectiveness of punishment. We focus on a “leader support system, ” in which one group leader can freely punish group followers using capital pooled through the support of group followers. In our experiment, participants were asked to engage in three stages: a PGG stage in which followers decided to cooperate for their group; a support stage in which followers decided whether to support the leader or not; and a punishment stage in which the leader could punish any follower. We found both higher cooperation and higher support for a leader achieved under linkage-type leaders—who punished both non-cooperators and non-supporters. In addition, linkage-type leaders themselves earned higher profits than other leader types because they withdrew more support. This means that a leader who effectively punishes followers could increase their own benefits and the second-order free rider problem would be solved.

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Available abstract

To study the collective action problem, researchers have investigated public goods games (PGG), in which each member decides to contribute to a common pool that returns benefits to all members equally. Punishment of non-cooperators—free riders—can lead to high cooperation in PGG. However, the existence of second-order free riders, who do not pay punishment costs, reduces the effectiveness of punishment. We focus on a “leader support system, ” in which one group leader can freely punish group followers using capital pooled through the support of group followers. In our experiment, participants were asked to engage in three stages: a PGG stage in which followers decided to cooperate for their group; a support stage in which followers decided whether to support the leader or not; and a punishment stage in which the leader could punish any follower. We found both higher cooperation and higher support for a leader achieved under linkage-type leaders—who punished both non-cooperators and non-supporters. In addition, linkage-type leaders themselves earned higher profits than other leader types because they withdrew more support. This means that a leader who effectively punishes followers could increase their own benefits and the second-order free rider problem would be solved.

Key concepts: Free rider problem, Punishment (psychology), Free riding, Order (exchange), Public good, Public goods game, Linkage (software), Collective action

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