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Accounting Information Quality, Financing Constraints, and Company Innovation Investment Efficiency by Big Data Analysis

Zhen Lei, Guangming Gong, Taosheng Wang, Wanjin Li

Source Title: Journal of Organizational and End User Computing (JOEUC)34(3)

ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781799893264|DOI: 10.4018/JOEUC.292525

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MLA

Lei, Zhen, et al. "Accounting Information Quality, Financing Constraints, and Company Innovation Investment Efficiency by Big Data Analysis." JOEUC vol.34, no.3 2022: pp.1-21. http://doi.org/10.4018/JOEUC.292525

APA

Lei, Z., Gong, G., Wang, T., & Li, W. (2022). Accounting Information Quality, Financing Constraints, and Company Innovation Investment Efficiency by Big Data Analysis. Journal of Organizational and End User Computing (JOEUC), 34(3), 1-21. http://doi.org/10.4018/JOEUC.292525

Chicago

Lei, Zhen, et al. "Accounting Information Quality, Financing Constraints, and Company Innovation Investment Efficiency by Big Data Analysis," Journal of Organizational and End User Computing (JOEUC) 34, no.3: 1-21. http://doi.org/10.4018/JOEUC.292525

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Abstract

This paper takes the listed companies in China from 2008 to 2017 as the research sample to study the relationship between accounting information quality (AIQ) and company innovation investment efficiency. The results show that AIQ is negatively correlated with both the underinvestment and overinvestment of corporate innovation. Further, AIQ can alleviate financing constraints and reduce the lack of innovation investment; At the same time, AIQ can also alleviate the agency conflict and reduce the excessive investment in innovation. Finally, AIQ can promote the innovation investment efficiency of companies with low information environment.