The digital economy has become an important driving force for the growth of fiscal revenue in various countries. Tax planning is essential for the cost accounting of PPP projects, reducing corporate tax burdens, and increasing company value. This paper adopts a case analysis method, taking the smart highway PPP project in Guizhou Province as an example. Through statistical analysis, it is found that the value-for-money and big data of the PPP project affects tax planning, the project’ s value-added tax input and output items have time mismatches, and enterprises Income tax payment imbalance. In the context of the digital economy, the tax planning of China's PPP projects can be further improved: digital transformation and big data to prevent tax risks caused by value for money evaluation; based on digital technology to improve the value-added tax deduction chain, and digital communication platforms to alleviate time mismatch of value-added tax; use big data to monitor and balance project portfolio investment; improve the level of digital skills of financial personnel.
How Big Data Affects In The Industrial Era 4.0 To The Implementation Of Tax Planning In Indonesia