Abstract
Employees, as the most valuable assets and critical sources of competitive advantage in enterprises, are among the important stakeholders in enterprises. Employee social responsibility (ESR) has been a continually important research interest in the field of enterprise social responsibility. However, in the literature, few studies explore how personal features affect employee social responsibility. Thus, sampling China’s listed companies from 2006 to 2019, we investigate how the home bias of senior executives influences enterprises’ employee social responsibility. We identify home bias based on whether a chairperson’s or CEO’s hometown matches the firm’s registration place. Three main results are obtained. First, the home bias of both CEOs and chairpersons can improve the corporate fulfillment of employee social responsibility. Second, further cost-benefit analysis shows that this result is due to not only identification but also benefit exchange. Although senior executives’ home bias significantly decreases employee turnover rate, enterprises absorb more employment, which significantly increases their redundant personnel costs. Therefore, firms should balance the potential benefits and costs incurred by home bias via trade-off. Third, in firms facing less market competition, firms with more governmental subsidies or state-owned firms, senior executives’ home bias has a more significant promoting effect on the fulfillment of ESR, supporting the view of benefit exchange. Accordingly, by extending theories on the effects of senior executives’ home bias and enriching the ESR literature, this paper has important practical value, our findings can guide and promote firms to perform ESR while actively complying with a national policy for stabilizing employment and ensuring people’s well-being.
Funder
National Science Foundation for Young Scientists of China
Fundamental Research Funds for the Central Universities
Humanities and Social Sciences Youth Foundation of Ministry of Education of China
Publisher
Public Library of Science (PLoS)
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