Abstract: Corporate violations are“stumbling blocks”hindering the high-quality development of the capital markets. It is of vital importance to prevent and govern the corporate violations for the creation of favorable capital market ecological environment. As an external governance mechanism, whether and how big data tax collection and management can inhibit corporate violations is an issue that needs urgent attention. Based on this, with the help of“Golden Tax Phase III”tax inspection system reform as a quasi-natural experiment, this paper takes the A-share listed companies from 2009 to 2018 as samples to construct a multi-period DID model and investigates the impact of big data tax collection and administration on corporate violations. The findings show that big data tax collection and management can significantly inhibit corporate violations. Big data tax collection and administration caninhibit the illegal behavior of enterprises through reducing the agency cost and improving the information transparency of enterprises. The inhibitory effect of big data tax collection and administration on corporate violations is more significant in the regions with poor legal system environment and in the enterprises with lower quality of internal control. Therefore, it is suggested to consolidate the data foundation of big data tax collection and management,improve the data integration ability of big data tax collection and administration, improve the internal and external governance mechanisms of enterprises, enhance the precise governance role of big data tax collection and administration, improve the information disclosure mechanism and the market supervision mechanism of the capital markets,and raise the costs of corporate violations.

Key words: big data, tax collection and management, corporate violations, the Third Phase of the Golden Tax Project