Price mismatching tax evasion behavior identification method based on tax payer benefit association network

Abstract

The invention discloses a price mismatching tax evasion behavior identification method based on a tax payer benefit association network. The price mismatching tax evasion behavior identification method uses data of a tax bureau, combines with inspection cases, brings forwards a price mismatching tax evasion behavior, extracts a price mismatching group, and finally positions an enterprise associated with the tax evasion. The price mismatching tax evasion behavior identification method solves a problem that the tax evasion between associated enterprises is hard to find.

Description

Technical field: [0001] The invention relates to a method for identifying tax evasion behaviors based on taxpayer profit-related network (Taxpayer Profit Interactive Network, TPIN) price mismatch, which is used to solve the current difficulty in identifying tax evasion behaviors among affiliated enterprises, low tax audit efficiency, and single audit methods. question. Background technique: [0002] With the establishment of the tax information platform, the amount of tax data presents a trend of rapid growth. However, there are still deficiencies in the intelligentization of tax supervision. Traditional tax audits and inspections in my country take independent taxpayers as the analysis object, rely on manual case selection, computer case selection, reporting and other methods, which are inefficient, severely limited in depth and breadth, and difficult to identify interests. Tax evasion behavior characterized by benefit transfer in affiliated groups. Among them, it is very ...

AI Technical Summary

Problems solved by technology

Finally solved the problem that the tax evasion between affiliated enterprises is difficult to detect

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