Abstract
While big data provides massive information for auditing work, it also changes the specific requirements of audit procedures. The pressure of economic downward has increased the concealment of local government debt risks in China, hence the requirements for its audit have increased accordingly. This paper combines the method of investigation and theoretical analysis to study the status quo of local government debt. Based on big data, the audit procedure of local government debt is designed in order to provide a reference for actual government debt audit work.
Cite
CITATION STYLE
Li, X. (2020). Research on application of big data in local government debt audit. In E3S Web of Conferences (Vol. 214). EDP Sciences. https://doi.org/10.1051/e3sconf/202021401024
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