Are firms with hometown CEOs better citizens? Evidence from the corporate poverty alleviation participation in China

IF 5.2 1区经济学 Q1 ECONOMICS

中国经济评论 Pub Date : 2025-01-16 DOI:10.1016/j.chieco.2025.102351

Xiaobo Li , Min Huang , Jinan Shao , Mengyao Li , Wuyue Shangguan

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引用次数: 0

Abstract

Support from the business world is an indispensable factor in alleviating poverty. Nevertheless, it is unclear what internal motivations drive firms to participate in poverty alleviation (PA) programs. In this study, leveraging social identity theory, we examine chief executive officer (CEO) hometown identity as an intrinsic driver for its PA participation when a firm has a hometown CEO. Employing a panel dataset of Chinese listed firms from 2016 to 2020, we find that CEO hometown identity has a positive effect on corporate PA participation. Furthermore, CEO media appearance and environmental complexity strengthen the relationship between CEO hometown identity and corporate PA participation, whereas organizational slack weakens this relationship. Our study is among the first to identify the mechanism through which CEO hometown identity affects corporate PA participation and provide references for other countries in the world suffering from poverty; that is, hometown companies and hometown CEOs can become key forces in alleviating poverty.

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ceo来自家乡的公司是更好的公民吗？来自中国企业扶贫参与的证据

商界的支持是减轻贫困不可或缺的因素。然而，企业参与扶贫项目的内在动机尚不清楚。本研究运用社会认同理论，考察了CEO的家乡认同对CEO参与企业决策的内在驱动作用。利用2016 - 2020年中国上市公司的面板数据，我们发现CEO家乡认同对公司PA参与有正向影响。此外，CEO媒体亮相和环境复杂性强化了CEO家乡认同与企业PA参与的关系，而组织松弛则削弱了这种关系。本研究首次发现CEO家乡认同对企业PA参与的影响机制，为世界其他贫困国家提供参考；也就是说，家乡企业和家乡ceo可以成为缓解贫困的关键力量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.