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Contributions in linear public goods experiments with stranger matching: two motivations

机译：具有陌生人匹配的线性公共产品实验中的贡献：两个动机

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摘要

We investigated why subjects contribute to the public good in a linear public goods game with stranger matching. In this experiment, subjects were asked to determine their contributions to the public good and also their beliefs about their partners' contributions. Additionally, the subjects were asked to note the reason for their decisions in real time. We used the subjects' descriptions for a coding analysis, which is a classification method of the motivations. Integrating this coding methodology and behavioural data revealed that full contributions are the result of two motives. One is the conditional cooperation motive to achieve the socially optimal outcome. The other is the motive to lead the other group member to contribute all of their endowment in the following periods by signalling one's own act (i.e. a teaching motive). The study further reveals that the two identified motives play a key role in driving cooperative behaviour, and that other motives (such as confusion and altruism) play a minor role.
机译：我们调查了为什么对象在具有陌生人匹配的线性公共物品博弈中为公共物品做出贡献。在该实验中，要求受试者确定他们对公益的贡献以及对伴侣贡献的信念。另外，要求受试者实时记录他们做出决定的原因。我们使用受试者的描述进行编码分析，这是动机的分类方法。整合这种编码方法和行为数据表明，全力以赴是两个动机的结果。一种是有条件的合作动机，以实现社会最优的结果。另一方是通过指示自己的行为来引导另一组成员在接下来的时期内贡献其全部捐赠的动机（即教学动机）。该研究进一步揭示，这两个确定的动机在推动合作行为中起关键作用，而其他动机（例如混乱和利他主义）起次要作用。

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