Early warning method for enterprise financial informatisation caused by tax difference

Guojian Lin and Weichuan Chen

International Journal of Information Technology and Management, 2022, vol. 21, issue 2/3, 248-263

Abstract: Low accuracy occurs when the traditional method only considers the financial report index when designing the early warning model, and ignores the influence of non-financial data on the early warning model. In order to overcome this problem, based on the discrete-time risk model, this paper proposes an early warning method of enterprise financial information caused by tax differences. Starting from the establishment of enterprise financial information early warning system, this paper analyses the importance of tax indicators to enterprise financial information early warning model. By studying the early warning system, we select index data in the model, add tax difference indicators, select multi-period panel data, and use discrete-time risk model to build enterprise financial information early warning model. The experimental results show that the accuracy of this method is as high as 99.05%, and there is no multicollinearity among the variables in the model, which is reliable.

Keywords: tax differentials; enterprise finance; informatisation; early warning; discrete time risk model. (search for similar items in EconPapers)
Date: 2022
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