以责任或权力为框架的领导者的性别差异:一项实验研究

IF 5.2 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2024-08-30 DOI:10.1016/j.chieco.2024.102267
Xu Jiang , Xianghong Wang
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引用次数: 0

摘要

女性在高层领导职位中所占比例过低,可能会导致潜在的效率损失。在本研究中,我们探讨了当领导任务被设定为权力或责任时,领导力的产生和效率方面的性别差异。在公益博弈中,群体领导者有权惩罚群体成员中的低贡献者,以提高群体福利。实验设计包括一种基本处理方法--将领导者的任务框定为权力或责任--在这种情况下,群体领导者通过自我推销或投票产生。我们发现,与男性相比,女性的框架效应更为明显。虽然女性一般比男性更不愿意领导,也更不容易被投票选举为领导,但与男性领导相比,责任框架在更大程度上提高了女性领导的有效性:她们对公共利益的贡献更大,当她们被投票选举为领导时,她们更倾向于惩罚低贡献者。因此,当领导任务强调责任时,女性领导者可以在提供公共产品方面提高社会福利。
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Gender difference in leaders framed with responsibility or authority: An experimental study

The underrepresentation of women in top leadership positions may result in a potential loss in efficiency. In this study, we examine gender differences in leadership emergence and efficiency when a leadership task is framed as authority or responsibility. In a public good game, the group leader is entitled to punish low contributors among the group members in order to increase the group welfare. The experimental design includes a basic treatment—framing the leader's task as authority or responsibility—in occasions where group leaders emerge through self-promotion or voting. We find a more pronounced framing effect among females compared to males. Although women are generally less willing and less voted to lead than men, the responsibility framing enhances female leaders' effectiveness to a larger extent than male leaders': they contribute more to the public good, and are more inclined to punish low contributors when they are voted as leaders. Therefore, when leadership tasks emphasize responsibility, female leaders could enhance social welfare in the provision of public goods.

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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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