The cross-departmental personal and enterprise information database can increase governmental departments' capabilities to provide service and supervision. Take the legal person information analysis as an example legal person's data is normally scattered in different departmental databases, such as small private business information, legal registration information, tax registration information, medical insurance information, and statistic bureau legal person information databases. Through horizontal analysis of all the above information databases, government managers can easily cross-check, compare, analyze and predict information such as production output, sales volume, and profit and tax income. It therefore provides the government with a better decision-making analysis tool and improves the government's enterprise public management ability.
Let's use the real estate tax of one local tax bureau as an example, to illustrate how information becomes the new resource for the city's operation. Through the data interaction among the tax bureau, bureau of land management, construction bureau, housing bureau, industry and commerce bureau and ministry of public security, all data is interconnected so the government can analyze cross departments of source data and create cross departmental correlations of specific items to build a tax source analysis and prediction model to calculate the price of unsold houses, and then carry out scientific predictive analysis and assessment of the real estate enterprise's taxation conditions. Using a 3rd party's basic data, the accuracy of tax source prediction reaches more than 95%. The government can also obtain a clearer understanding of the current situation and future development trend of real estate industry from different perspectives, and makes related decisions accordingly.
Tax Department: The computer system automatically collects real time information, which is then integrated with the relevantlocal taxation data and automatically distributed to tax authorities and personnel.
Land and Resources Department: Through communication and coordination among tax department, land and resources department and housing department, the government can enhance the interconnection and sharing of real estate trading information and realize sharing of real estate transaction information. Every land sales contract signed by the land and resources department can be checked using this system. Moreover, the total area and amount of land sold per month can be automatically calculated. Thus, taxable income can be estimated.
Housing Department: By connecting with the housing department, data regarding the developer’s presale house information,contract file information, and trading registration information are all shared.
Industry and Commerce Department: The system can exchange real estate enterprises' information about change of equity ownership andmonitor the individual's income tax.
Public Security Department: The house rental data concerning migrating population can be exchanged and thus achieving better transparency of the real estate rental market.
Construct Accurate Tax Source Prediction Models
With a complete tax source supervision system for real estate enterprises covering the entire cycle of a project, including project kickoff, completion, and presales, and through comparing and calculating the data from relevant departments, actual presale information reports can be automatically generated, thus improving tax collection and management level in the real estate industry.
The government can sort out the collected real estate companies' presale information and then track and manage it according to the project registered information provided on the website of Transparent House Sales.
By distributing centralized tax source information collected from departments such as the housing management and land and resources department, to its respective authorities, the government can expand tax source information to real estate development and management and provide local taxation authorities with information for levying real estate enterprise business tax, corporate income tax, and housing tax.
The system can:
a) Generate reports on the total land tax predictions, auctioned land tax predictions, and nonauctioned land tax predictions based on the land conditions and its adjacent house selling price.
b) Predict the construction sales tax and additional tax based on the construction companies' projects starting data and completion data. The taxation personnel can then track these projects accordingly.
c) Generate reports for sold houses, unsold houses, tax predictions, and payment differences between projected tax and paid tax.
d) Enhance supervision through analysis and comparison and conduct tax assessment and focused supervision of enterprises with significant differences between predicted taxes and actual payment.
Take Hangzhou city as an example: after implementing the intelligent system, the
accuracy rate of enterprise supervision surpassed 90%, at a 10% improvement
from before. The enterprises' awareness of taxpaying has been improved. During
the first 3 months, the government increased its real estate tax income by more than
100 million RMB per month.
