Research On The Transaction Date Adjustment Coefficient In Stocking Houses Tax Base Mass Appraisal

In recent years, stocking housing market develops rapidly in China. Due to the superiorlocation, complete peripheral supporting and moderate house type, stocking houses have beenwelcomed by the market with continuous amplification of the trading volume. The transactionscale of stocking houses in several big cities has surpassed that of incremental housing market,and becomes the major type of transaction in the housing market. However, in the process ofstocking housing transaction, the taxpayers usually sign the contract of Yin and Yang anddeliberately under quote the transaction price, causing large quantity of losses in tax revenue.Therefore, application evaluation technology has been launched in China in order tostrengthen the revenue collection and management work of stocking houses.The research object of this thesis is the transaction date adjustment coefficient in tax basemass appraisal for stocking houses. In the tax base mass appraisal for stocking houses, themajor method adopted is indirect comparison method in the market method. By the use ofdirect comparison method for two times and the combination of computer assisted massappraisal system, the indirect comparison method estimates on a large scale the dutiable valueof the taxable houses on the valuation date all at once. Due to the different transaction date, themarket condition of the stocking house might change, which further leads to the fluctuation ofthe housing price. At the time of evaluation, adjustment shall be made according to the effecton the housing price due to different market condition. This adjustment is called transactiondate adjustment, while the adjustment coefficient adopted is called transaction date adjustmentcoefficient. This thesis, aimed at different market data condition, summarizes thedetermination methods of transaction date adjustment coefficient as housing price indexmethod, housing price rate of change method, secular trend method and monitoring pointmethod and other determination methods, and points out the housing price method plays ansignificant role in the determination of transaction date adjustment coefficient.This thesis introduces in detail the primary compilation method and quality adjustment compilation method, and proposes some ideas about improvement of the stocking house priceindex compilation method. On the basis of adopting primary compilation method,it introducesthe idea of quality adjustment compilation method, subdivides administrative region andstocking house type, sets up standard stocking houses and unifies the quality characteristics ofthe data sample so as to guarantee the homogeneous comparability of the data involved in thecompilation of the housing price index. From this, the classified housing price index iscompiled. This thesis also makes analysis of the internal relation between housing price indexof various forms and works out the exponential form that is more appropriate for thedetermination of the transaction date adjustment coefficient.Finally, with Luoyang in Henan Province as the object of this empirical research, thisthesis compiles to work out the housing price index of divide according to differentadministrative regions and housing types by using the modified housing price indexcompilation method, and makes a comparative analysis between housing price index and thesecond-hand housing price index in Luoyang published by National Bureau of Statistics. Theauthor thinks that housing price index compiled in this thesis is more in line with the localreality, more targeted, and the compilation method is more scientific. With enumeration ofcases, this thesis makes specific illustration on determining the transaction date adjustmentcoefficient by making use of housing price index. Through the empirical effect analysis, theauthor believes that the result of transaction date adjustment coefficient determined by thehousing price index is accurate and the error between the evaluated price after the transactiondate adjustment and the real transaction value is within reasonable range.