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Cited by 409

The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.

Stock market liberalization and innovation

Open access
Moshirian, Fariborz, Tian, Xuan, Zhang, Bohui, Zhang, Wenrui·2021·Journal of Financial Economics

Abstract

Abstract We investigate the effect of stock market liberalization on technological innovation. Using a sample of 20 economies that experience stock market liberalization, we find that these economies exhibit a higher level of innovation output after liberalization and that this effect is disproportionately stronger in more innovative industries. The relaxation of financial constraints, enhanced risk sharing between domestic and foreign investors, and improved corporate governance are three plausible channels that allow stock market liberalization to promote innovation. Finally, we show that technological innovation is a mechanism through which stock market liberalization affects productivity growth and therefore economic growth. Our paper provides new insights into the real effects of stock market liberalization on productivity growth and the economy.

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Crossref · 10.1016/j.jfineco.2020.08.018

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Metadata

Authors
Moshirian, F., Tian, X., Zhang, B., & Zhang, W.
Venue
Journal of Financial Economics
Publisher
Elsevier BV
Published
2021-03
Volume
139
Issue
3
Pages
985-1014
ISSN
0304-405X (ISSN-L)
OpenAlex
W3123197402
Cited by
409
References
132
FWCI
34.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Stock market liberalization and innovation. https://app.cochat.ai/papers/10.1016/j.jfineco.2020.08.018
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Moshirian, F., Tian, X., Zhang, B., & Zhang, W. (2021). Stock market liberalization and innovation. Journal of Financial Economics. https://doi.org/10.1016/j.jfineco.2020.08.018

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.