期刊
ECOLOGICAL ECONOMICS
卷 200, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ecolecon.2022.107512
关键词
Pro-environmental behavior; Environmental charity; Constructed preferences; Deliberate ignorance; Decision-making
资金
- ISF [1707_20]
When given the chance to avoid information about the negative consequences of their selfish behavior on others, many people choose to remain ignorant, leading to a decrease in prosocial behavior. However, recent research has found that in environmental contexts, people do not avoid information about the negative impact of their choices on pro-environmental organizations, and choosing to remain ignorant does not affect their proenvironmental behavior. The procedure followed to remain ignorant plays a critical role in shaping this decision.
When people are given the opportunity to avoid unpleasant information about the possible negative consequences of their self-interested behavior on others, a significant number of people tend to avoid this information. Consequently, the choice to remain ignorant to the negative implications of one's actions has been shown to substantially reduce prosocial behavior when compared to situations in which people are aware of these consequences. Recent studies question the role of deliberate ignorance in environmental contexts. Participants did not avoid information regarding the negative consequence of their choices on a pro-environmental organization. In addition, the option to remain ignorant of this information did not affect their proenvironmental behavior. We argue that the procedure that should be followed in order to remain ignorant plays a critical role in shaping this decision. We employ a binary dictator game where the recipient is a nonprofit environmental organization, and manipulate the procedure that dictators have to follow to remain ignorant of the recipient's payment. We find a significant effect of the applied procedure on both the tendency to remain ignorant and the subsequent proenvironmental behavior.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据