Study on the ownership balance and the efficiency of mixed ownership enterprises from the perspective of heterogeneous shareholders

Zhujia Yin; Lijuan Liu; Haidong Wang; Fengming Wen

PLoS ONE · 2018-04-03
Research article · Version of record · CC BY 4.0 · 6,839 words

Original source: Volume 13 · Issue 4 · e0194433

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Title: Study on the ownership balance and the efficiency of mixed ownership enterprises from the perspective of heterogeneous shareholders
Authors / creators: Zhujia Yin; Lijuan Liu; Haidong Wang; Fengming Wen
Source: Complete manuscript edition 2026-11-05
Editorial record: Attributed Creative Commons source edition. Original publication and authorship remain with the source. Hosting is not a new peer-review decision.

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Original authors / creators: Zhujia Yin; Lijuan Liu; Haidong Wang; Fengming Wen
Original publication: PLoS ONE · Public Library of Science · 2018-04-03
Source & version: Authoritative source ↗ · Version of record
doi:10.1371/journal.pone.0194433
License & retained notices: CC BY 4.0
© 2018 Yin et al
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https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Article-specific license URL: http://creativecommons.org/licenses/by/4.0/
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Evidence limits: Adjacent research, not a directly sampled family-office study. Applicability to a family office requires separate assessment. In the study of enterprise efficiency, corporate governance and other related content, many scholars often use listed company data, but listed company data also has its limitations. The sample size is limited and only provides information on the shareholding of the top ten shareholders, which may be biased with the company's overall ownership structure. This section takes enterprise data in Chinese industrial enterprise database as the research object. The total output value of enterprises accounted for more than 90% of China's total industrial output value in the database. The sample size is large and more universal and provides the paid-in capital of the enterprise, which can reflect the ownership structure of the enterprise more comprehensively and clearly.
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