A dataset on affiliation of venture capitalists in China between 2000 and 2016

被引:7
|
作者
Chen, Jin [1 ,2 ]
Chen, Tianyuan [1 ]
Song, Yifei [1 ]
Hao, Bin [3 ]
Ma, Ling [3 ]
机构
[1] Univ Nottingham Ningbo China, Nottingham Univ Business Sch China, Ningbo, Peoples R China
[2] UNNC NFTZ Blockchain Lab, Ningbo, Peoples R China
[3] East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
PERFORMANCE; SYNDICATION; INNOVATION; INDUSTRY; PRIVATE; IPOS;
D O I
10.1038/s41597-021-00993-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:10
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