Journal article
Government as venture capitalists in artificial intelligence
- Abstract:
- Venture capital (VC) plays an important role in funding and shaping innovation outcomes, characterized by investors’ deep knowledge of the technology, industry, and institutions, as well as their long-running relationships with the entrepreneurship and innovation community. China, in its pursuit of global leadership in AI innovation and technology, has set up government VC funds so that both national and local governments act as venture capitalists. These government-led VC funds combine features of private VC with traditional government innovation policies. In this paper, we collect comprehensive data on China’s government and private VC funds. We draw three important contrasts between government and private VC funds: (i) government funds are spatially more dispersed than private funds; (ii) government funds invest in firms with weaker ex ante performance signals, but these firms exhibit growth rates exceeding those of firms in which private funds invest; and (iii) private VC funds follow government VC investments, especially when hometown government funds directly invest on firms with weaker ex ante performance signals. We interpret these patterns in light of VC funds’ traditional role overcoming information frictions and China’s unique institutional environment, which includes important frictions on mobility and information.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Preview, Accepted manuscript, pdf, 5.7MB, Terms of use)
-
- Publisher copy:
- 10.1086/732854
Authors
- Publisher:
- University of Chicago Press
- Journal:
- Entrepreneurship and Innovation Policy and the Economy More from this journal
- Volume:
- 4
- Issue:
- 1
- Pages:
- 81-102
- Publication date:
- 2025-02-01
- Acceptance date:
- 2024-07-06
- DOI:
- EISSN:
-
2771-1676
- ISSN:
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2771-1668
- EISBN:
- 9780226844350
- ISBN:
- 9780226844343
- Language:
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English
- Pubs id:
-
2013443
- Local pid:
-
pubs:2013443
- Deposit date:
-
2024-07-10
- ARK identifier:
Terms of use
- Copyright holder:
- National Bureau of Economic Research
- Copyright date:
- 2025
- Rights statement:
- © 2025 National Bureau of Economic Research. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from University of Chicago Press at https://dx.doi.org/10.1086/732854
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