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      Family Exit and Firms' Investment Efficiency Based on Dynamic Changes: Evidence from Chinese Family Firms

      research-article
      1 , , 2 , 3
      Computational Intelligence and Neuroscience
      Hindawi

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          Abstract

          This study provides evidence about the influence of family exit on firms' investment efficiency using a sample of 6,842 firm-year observations of Chinese family (and family-exiting) firms from 2003 to 2019. Based on panel data, we find that family exit has negative effects on firms' investment efficiency. Further analysis also indicates that family exit can decrease firms' investment efficiency under low investment levels and increase their investment efficiency under high investment levels. We test the market reaction when family members are punished by the SEC and find that the market's reaction is significantly negative, which implies that the capital market cares about family managers and controllers.

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          Most cited references34

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          Corporate financing and investment decisions when firms have information that investors do not have

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            Founding-Family Ownership and Firm Performance: Evidence from the S&P 500

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              Over-investment of free cash flow

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                Author and article information

                Contributors
                Journal
                Comput Intell Neurosci
                Comput Intell Neurosci
                cin
                Computational Intelligence and Neuroscience
                Hindawi
                1687-5265
                1687-5273
                2022
                31 July 2022
                : 2022
                : 7572891
                Affiliations
                1Faculty of Professional Finance & Accountancy, Shanghai Business School, Shanghai, China
                2School of Economics and Management, Shanghai Maritime University, Shanghai, China
                3School of Finance, University of International Business and Economics, Beijing, China
                Author notes

                Academic Editor: Jun Ye

                Author information
                https://orcid.org/0000-0003-4386-1399
                https://orcid.org/0000-0002-2210-5263
                https://orcid.org/0000-0003-0102-4293
                Article
                10.1155/2022/7572891
                9357776
                d195289a-a852-41e3-b29e-c31db40d10c7
                Copyright © 2022 Tengyan Wang et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 8 April 2022
                : 4 June 2022
                Funding
                Funded by: Chinese National Funding of Social Sciences
                Award ID: 20BGL085
                Categories
                Research Article

                Neurosciences
                Neurosciences

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