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A dataset on affiliation of venture capitalists in China between 2000 and 2016
Prior literature emphasizes the distinct roles of differently affiliated venture capitalists (VCs) in nurturing innovation and entrepreneurship. Although China has become the second largest VC market in the world, the unavailability of high-quality datasets on VC affiliation in China’s market hinder...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339000/ https://www.ncbi.nlm.nih.gov/pubmed/34349129 http://dx.doi.org/10.1038/s41597-021-00993-w |
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author | Chen, Jin Chen, Tianyuan Song, Yifei Hao, Bin Ma, Ling |
author_facet | Chen, Jin Chen, Tianyuan Song, Yifei Hao, Bin Ma, Ling |
author_sort | Chen, Jin |
collection | PubMed |
description | Prior literature emphasizes the distinct roles of differently affiliated venture capitalists (VCs) in nurturing innovation and entrepreneurship. Although China has become the second largest VC market in the world, the unavailability of high-quality datasets on VC affiliation in China’s market hinders such research efforts. To fill up this important gap, we compiled a new panel dataset of VC affiliation in China’s market from multiple data sources. Specifically, we drew on a list of 6,553 VCs that have invested in China between 2000 and 2016 from CVSource database, collected VC’s shareholder information from public sources, and developed a multi-stage procedure to label each VC as the following types: GVC (public agency-affiliated, state-owned enterprise-affiliated), CVC (corporate VC), IVC (independent VC), BVC (bank-affiliated VC), FVC (financial/non-bank-affiliated VC), UVC (university endowment/spin-out unit), and PenVC (pension-affiliated VC). We also denoted whether a VC has foreign background. This dataset helps researchers conduct more nuanced investigations into the investment behaviors of different VCs and their distinct impacts on innovation and entrepreneurship in China’s context. |
format | Online Article Text |
id | pubmed-8339000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83390002021-08-05 A dataset on affiliation of venture capitalists in China between 2000 and 2016 Chen, Jin Chen, Tianyuan Song, Yifei Hao, Bin Ma, Ling Sci Data Data Descriptor Prior literature emphasizes the distinct roles of differently affiliated venture capitalists (VCs) in nurturing innovation and entrepreneurship. Although China has become the second largest VC market in the world, the unavailability of high-quality datasets on VC affiliation in China’s market hinders such research efforts. To fill up this important gap, we compiled a new panel dataset of VC affiliation in China’s market from multiple data sources. Specifically, we drew on a list of 6,553 VCs that have invested in China between 2000 and 2016 from CVSource database, collected VC’s shareholder information from public sources, and developed a multi-stage procedure to label each VC as the following types: GVC (public agency-affiliated, state-owned enterprise-affiliated), CVC (corporate VC), IVC (independent VC), BVC (bank-affiliated VC), FVC (financial/non-bank-affiliated VC), UVC (university endowment/spin-out unit), and PenVC (pension-affiliated VC). We also denoted whether a VC has foreign background. This dataset helps researchers conduct more nuanced investigations into the investment behaviors of different VCs and their distinct impacts on innovation and entrepreneurship in China’s context. Nature Publishing Group UK 2021-08-04 /pmc/articles/PMC8339000/ /pubmed/34349129 http://dx.doi.org/10.1038/s41597-021-00993-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Chen, Jin Chen, Tianyuan Song, Yifei Hao, Bin Ma, Ling A dataset on affiliation of venture capitalists in China between 2000 and 2016 |
title | A dataset on affiliation of venture capitalists in China between 2000 and 2016 |
title_full | A dataset on affiliation of venture capitalists in China between 2000 and 2016 |
title_fullStr | A dataset on affiliation of venture capitalists in China between 2000 and 2016 |
title_full_unstemmed | A dataset on affiliation of venture capitalists in China between 2000 and 2016 |
title_short | A dataset on affiliation of venture capitalists in China between 2000 and 2016 |
title_sort | dataset on affiliation of venture capitalists in china between 2000 and 2016 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339000/ https://www.ncbi.nlm.nih.gov/pubmed/34349129 http://dx.doi.org/10.1038/s41597-021-00993-w |
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