Looking good by doing good: CEO attractiveness and corporate philanthropy

吸引力 亲社会行为 捐赠 外表吸引力 公司治理 业务 营销 经济 社会心理学 心理学 财务 精神分析 经济增长
作者
Leng Ling,Danglun Luo,Xiaoxia Li,Xintong Pan
出处
期刊:China Economic Review [Elsevier BV]
卷期号:76: 101867-101867 被引量:6
标识
DOI:10.1016/j.chieco.2022.101867
摘要

We investigate the effect of male corporate managers' physical appearance—classified into unattractive, average-looking, and attractive—on the philanthropic decisions of Chinese listed firms. We find that compared to average-looking managers, those who rated as attractive do not engage more actively in corporate donations. On the contrary, the probability of donating is approximately 5% higher for unattractive managers than for average-looking managers; further, unattractive managers donate 95% more in charitable giving. To explain these findings, we propose a psychological channel through which physical appearance may influence male managers' charitable donations: Because altruistic behaviors may aggrandize individuals, managers conscious of deficits in their own physical attractiveness may engage in prosocial behavior to increase their attractiveness in the eyes of others. We find consistent evidence that the effect of managers' unattractiveness on philanthropic decisions is stronger in firms with weaker corporate governance; further, we find that the positive impact of corporate donation on financial performance observed in firms led by attractive and average-looking managers is substantially weaker in those firms led by unattractive managers. • Compared to average-looking CEOs, attractive CEOs do not engage more in corporate donation. • Unattractive CEOs are more likely to donate and with a greater amount. • This unattractiveness effect is stronger in firms with weaker corporate governance. • Donations by attractive and average-looking CEOs contribute to better financial performance. • Donations by unattractive managers barely contribute to better financial performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
哎嘿完成签到,获得积分10
刚刚
Think_different完成签到 ,获得积分10
刚刚
澜生完成签到,获得积分10
刚刚
andy_lee完成签到,获得积分10
1秒前
1秒前
superneo发布了新的文献求助10
1秒前
木木三完成签到,获得积分10
1秒前
大力的大树完成签到,获得积分20
2秒前
没有昵称完成签到,获得积分10
2秒前
Kai完成签到,获得积分10
2秒前
2秒前
3秒前
终陌发布了新的文献求助10
3秒前
4秒前
搞怪的大侠完成签到,获得积分20
4秒前
seismic完成签到,获得积分10
4秒前
5秒前
小马甲应助苗条的摇伽采纳,获得10
5秒前
大模型应助牧妙芹采纳,获得30
5秒前
dara997发布了新的文献求助10
6秒前
哈哈环完成签到 ,获得积分10
6秒前
6秒前
8秒前
diudiu完成签到,获得积分10
8秒前
zdl完成签到,获得积分10
9秒前
哆啦小鱼完成签到,获得积分10
9秒前
桐桐应助儒雅的夏山采纳,获得10
9秒前
10秒前
10秒前
纯真冰棍完成签到,获得积分10
10秒前
芒果不忙发布了新的文献求助10
10秒前
xyzz发布了新的文献求助10
11秒前
乐乐应助nav采纳,获得10
11秒前
11秒前
Andrew02应助dara997采纳,获得10
12秒前
12秒前
可耐的香芦完成签到,获得积分10
13秒前
13秒前
烟花应助潇湘阁我爱吃采纳,获得10
14秒前
zyyyy完成签到,获得积分10
14秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
Essentials of Performance Analysis in Sport 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3733775
求助须知:如何正确求助?哪些是违规求助? 3278009
关于积分的说明 10006192
捐赠科研通 2994159
什么是DOI,文献DOI怎么找? 1642937
邀请新用户注册赠送积分活动 780727
科研通“疑难数据库(出版商)”最低求助积分说明 748987