How do peer listed stars affect corporate social responsibility? Evidence from China

企业社会责任 情感(语言学) 业务 公司治理 独创性 中国 会计 心理学 公共关系 社会心理学 政治学 财务 创造力 沟通 法学
作者
Xue Yang,Luying Zhao,Yanli Yang,Chang Li
出处
期刊:Chinese Management Studies [Emerald Publishing Limited]
卷期号:18 (1): 24-47 被引量:2
标识
DOI:10.1108/cms-12-2021-0528
摘要

Purpose This study aims to complement existing studies by investigating the impact of different corporate social responsibility (CSR) information disclosed by peer listed stars (i.e. governance information [GI] and output information [OI]) on focal firms’ responsive CSR (RCSR) and strategic CSR (SCSR) practices. The authors also investigate the influence of different boundary conditions (i.e. founders’ social status [SS] and industry pollution intensity). Design/methodology/approach Based on the listed stars of 16 industries and their 4,096 private peers in China, the authors use the least squares method and logistic regression models to analyze the data set. Findings The results indicate that the GI of peer listed stars can only positively affect firms’ RCSR behavior. The OI of peer listed stars has a positive effect on firms’ SCSR behavior while negatively affecting firms’ RCSR behavior. The SS of focal firms’ founders and their interaction with the industry’s pollution level strengthen the abovementioned positive relationships while weakening the negative ones. Practical implications This study provides insights into the role of listed stars in influencing peer firms’ CSR activities, offering important practical implications for both policymakers and managers. Originality/value This study extends the recent discussion on peer effects of CSR by elucidating the peer star effect on CSR and confirms that firms may adopt heterogeneous CSR practices to achieve sustainable growth by investigating peer firms’ different responses to their listed stars’ different CSR information. Moreover, by introducing the SS of founders and the pollution intensity of the industry as boundary conditions, this study enriches the research context on CSR activities.
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
喆喆发布了新的文献求助10
1秒前
1秒前
Anima发布了新的文献求助10
1秒前
4秒前
受伤老太完成签到 ,获得积分20
4秒前
4秒前
4秒前
5秒前
5秒前
HJJ完成签到 ,获得积分10
6秒前
腼腆的寒风完成签到 ,获得积分10
6秒前
7秒前
11111111发布了新的文献求助10
7秒前
9秒前
Arlie发布了新的文献求助10
9秒前
熊艳鹏发布了新的文献求助10
10秒前
Xumeiling完成签到 ,获得积分10
10秒前
英姑应助西瓜采纳,获得10
11秒前
orixero应助ZHJ采纳,获得10
12秒前
12秒前
12秒前
羽西发布了新的文献求助10
13秒前
sss1完成签到 ,获得积分10
14秒前
SciGPT应助Zuco_Fg采纳,获得10
14秒前
受伤老太关注了科研通微信公众号
14秒前
txy完成签到,获得积分20
16秒前
longer发布了新的文献求助10
16秒前
思源应助hajf采纳,获得10
16秒前
16秒前
17秒前
科研通AI6.4应助ccc采纳,获得10
17秒前
18秒前
18秒前
wkk417发布了新的文献求助10
18秒前
田様应助多祎点采纳,获得10
19秒前
19秒前
19秒前
19秒前
卜天亦发布了新的文献求助30
20秒前
yes完成签到,获得积分10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7687308
求助须知:如何正确求助?哪些是违规求助? 9250346
关于积分的说明 19962087
捐赠科研通 7260290
什么是DOI,文献DOI怎么找? 3289789
关于科研通互助平台的介绍 2446665
邀请新用户注册赠送积分活动 2294310