Research on Social Credit System and Venture Capital Investment Efficiency

Yifan Gong, Yingkai Yin

2022

Abstract

The research of the social credit system can not only analyze the problem of information asymmetry theoretically, but also provide more entrepreneurial characteristics information for entrepreneurial investors in practice. This article selects Changsha as a sample city and uses data from 2010 to 2019 to regress and analyze the relationship between the social credit system and the scale of venture capital. The empirical analysis results show that if a city’s credit score increases, the proportion of venture investment that a city receives in the country’s venture capital will increase; the proportion of a city’s credit ranking decline in the amount of venture investment in the country’s venture capital will also decrease accordingly. Moreover, the increase in the absolute level of the social credit system has a greater impact on the scale of venture capital than the increase in the relative level.

Paper Citation

in Harvard Style

Gong Y. and Yin Y. (2022). Research on Social Credit System and Venture Capital Investment Efficiency. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 99-104. DOI: 10.5220/0011161900003440

in Bibtex Style

@conference{bdedm22,
author={Yifan Gong and Yingkai Yin},
title={Research on Social Credit System and Venture Capital Investment Efficiency},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011161900003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Research on Social Credit System and Venture Capital Investment Efficiency
SN - 978-989-758-593-7
AU - Gong Y.
AU - Yin Y.
PY - 2022
SP - 99
EP - 104
DO - 10.5220/0011161900003440