The impact of COVID-19 on corporate digital innovation in China: A study based on the DDD model

Panpan Zheng, Zhen Li and Ziyin Zhuang

Finance Research Letters, 2024, vol. 59, issue C

Abstract: This study uses text analysis and machine learning methods to construct an index of firms' digital innovation, and employs the triple difference method (DDD) to empirically examine the impact of the COVID-19 on digital innovation of Chinese listed companies. We find that firms' digital innovation, particularly in terms of digital product innovation, has increased after the COVID-19 outbreak, and the promotion of COVID-19 on digital innovation is more pronounced among low-leverage, non-declining periods, and tertiary industry firms. Our results imply that despite the adverse effects brought about by the COVID-19, such as cash flows constrains and revenues reductions, the opportunities it presents for firms' digital innovation cannot be ignored.

Keywords: COVID-19; Digital innovation; DDD; Text analysis (search for similar items in EconPapers)
JEL-codes: K30 O34 O39 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:59:y:2024:i:c:s1544612323011261

DOI: 10.1016/j.frl.2023.104754

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