CN101599162A - Real estates dealing taxed price computing system - Google Patents
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- CN101599162A CN101599162A CNA2009100998638A CN200910099863A CN101599162A CN 101599162 A CN101599162 A CN 101599162A CN A2009100998638 A CNA2009100998638 A CN A2009100998638A CN 200910099863 A CN200910099863 A CN 200910099863A CN 101599162 A CN101599162 A CN 101599162A
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Abstract
A kind of real estates dealing taxed price computing system, comprise current period sub-district sticker price and knock-down price computing module, the comprehensive amount of increase computing module in current period sub-district, current period sub-district standard price computing module, building, current period building coefficients calculation block, building, current period building standard price computing module, current period house cover standard price computing module, be used for building, current period building standard price BP
nIn conjunction with default floor coefficient F, towards coefficient O, area coefficient Ar, obtain house cover standard price HP
n, HP
nEqual BP
n, 1 add F, 1 to add O and four numerical value of Ar long-pending, with reference to following formula: HP
n=BP
n* (1+F) * (1+O) * Ar.The invention provides a kind of market method, good real estates dealing taxed price computing system of result of calculation reliability of adopting.
Description
Technical field
The present invention relates to a kind of real estates dealing taxed price system.
Background technology
Property price be subjected to as property type, level, towards, build age or the like many-sided influence the, particularly second-hand house, building structure, house type plane figure and have many differences, so the second-hand house price is the valency in a room with existing building standard.In addition, because China taxpayer tax revenue sincerity degree is lower, state tax authority tax collection and administration, inspection means fall behind, and make present national real estate have a large amount of tax revenues to run off every year; Since inaccurate to the tax revenues estimation, make leaders at different levels aspect formulation Real Estate Taxation policy, exist direction fuzzy, formulate situations such as policy quantitative basis deficiency.Only appraise and decide in the process and in time pinpoint the problems in the real estate transaction price, the correction problem, tax collection and administration department could implement dynamic monitoring at bidding, booking, aspect such as pay taxes to the taxpayer, could bring into play tax authority's holistic management usefulness to greatest extent.
At present, there are market method, income approach and cost-or-market method in China to the appraisal procedure of real estate transaction price, and this is the appraiser of an intermediary method commonly used to the second-hand house price evaluation time.And, used cost-or-market method usually for second-hand house transaction tax collection and administration department, and the cost-or-market method advantage is to calculate comparatively easyly, shortcoming is the true value of reaction house real estate correctly often.Especially for second-hand house, building structure, house type plane figure and have many differences with existing building standard differ bigger with the market realized price especially.
Summary of the invention
Deficiency for the result of calculation poor reliability that overcomes existing real estates dealing taxed price system the invention provides a kind of market method, good real estates dealing taxed price computing system of result of calculation reliability of adopting.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of real estates dealing taxed price computing system comprises: current period sub-district sticker price and knock-down price computing module, be used for second-hand house sticker price in the setting-up time section and the actual knock-down price of second-hand house are used least square method, and obtain current period sub-district sticker price C respectively
nWith current period sub-district knock-down price B
nAnd calculate the last relatively sticker price amount of increase of current period sub-district sticker price (C
n-C
N-1)/C
N-1And the last relatively knock-down price amount of increase of current period sub-district knock-down price (B
n-B
N-1)/B
N-1, n is a natural number;
The comprehensive amount of increase computing module in current period sub-district is used for according to default sticker price amount of increase weight G
mWith knock-down price amount of increase weight O
m, obtain the comprehensive amount of increase Z in current period sub-district
m, this value equals that sticker price amount of increase and respective weights are long-pendingly to be added that knock-down price amount of increase and respective weights are and amass, with reference to following formula:
Z
m＝[(C
n-C
n-1)/C
n-1]×G
m+[(B
n-B
n-1)/B
n-1]×O
m；
Current period sub-district standard price computing module is used and be multiply by last sub-district standard price A with 1 with the comprehensive amount of increase sum in current period sub-district
N-1, obtain current period sub-district standard price, with reference to following formula:
A
n＝(1+Z
m)×A
n-1；
Building, current period building coefficients calculation block is used for obtaining X by building, last building standard price divided by last sub-district standard price
n=BP
N-1/ A
N-1
Building, current period building standard price computing module is used for by current period sub-district standard price A
nWith building, current period building coefficient X
nThe BP that multiplies each other and obtain
n=A
n* X
n
Current period house cover standard price computing module is used for building, current period building standard price BP
nIn conjunction with default floor coefficient F, towards coefficient O, area coefficient Ar, obtain house cover standard price HP
n, HP
nEqual BP
n, 1 add F, 1 to add O and four numerical value of Ar long-pending, with reference to following formula:
HP
n＝BP
n×(1+F)×(1+O)×Ar；
Sub-district sticker price of described current period is connected the comprehensive amount of increase computing module in current period sub-district with the knock-down price computing module, the comprehensive amount of increase computing module in described current period sub-district connects sub-district standard price computing module of described current period, sub-district standard price computing module of described current period connects building, building of described current period coefficients calculation block, building, building of described current period coefficients calculation block connects building, building of described current period standard price computing module, building, building of described current period standard price computing module connects house cover standard price computing module of described current period, and house cover standard price computing module of described current period connects sub-district sticker price of described current period and knock-down price computing module.
As preferred a kind of scheme: described real estates dealing taxed price computing system also comprises: assessment base period sub-district standard price, base period sub-district sticker price and base period sub-district knock-down price computing module, in order to building, building standard price that assessment company is provided as building, base period building standard price BP
0, generate base period sub-district standard price A by arithmetic mean method
0Use least square method to obtain base period sub-district sticker price C respectively from second-hand house sticker price and the actual knock-down price of second-hand house
0With base period sub-district knock-down price B
0
Described assessment base period sub-district standard price, base period sub-district sticker price and base period sub-district knock-down price computing module are connected sub-district sticker price of described current period and knock-down price computing module.
Technical conceive of the present invention is: at present, there are market method, income approach and cost-or-market method in China to the appraisal procedure of real estate transaction price, and this is the appraiser of an intermediary method commonly used to the second-hand house price evaluation time.And for second-hand house transaction tax collection and administration department, nearly one or two years just in Beijing, Chongqing, Dandong, five cities in Nanjing and Hangzhou carried out the pilot that real estate is commented tax software.The tax software of commenting in other four cities has mainly all used cost-or-market method, have only our software to use the market method, with mathematical model in conjunction with the floor of every cover house property, house type, towards, build up factors such as time, surrounding landscape, the making-up price that produces every cover house property in conjunction with the historical knockdown price Data Dynamic of house property again.
The cost-or-market method advantage is to calculate comparatively easyly, and shortcoming is the true value of reaction house real estate correctly often.Especially for second-hand house, building structure, house type plane figure and have many differences with existing building standard differ bigger with the market realized price especially.The market method compares comparable case and appraisal object at aspects such as transaction situation, exchange hour, real estate situations, finally draw the objective reasonable value of appraisal object, and result who draws and marketing situation match, tool actual value.
Beneficial effect of the present invention mainly shows: adopt market method, result of calculation reliability good.
Description of drawings
Fig. 1 is the theory diagram of real estates dealing taxed price computing system.
Fig. 2 is the process flow diagram of real estates dealing taxed price computing system
Embodiment
Below in conjunction with accompanying drawing the present invention is further described.
See figures.1.and.2, a kind of real estates dealing taxed price computing system, comprise: current period sub-district sticker price and knock-down price computing module, be used for second-hand house sticker price in the setting-up time section and the actual knock-down price of second-hand house are used least square method, obtain current period sub-district sticker price C respectively
nWith current period sub-district knock-down price B
nAnd calculate the last relatively sticker price amount of increase of current period sub-district sticker price (C
n-C
N-1)/C
N-1And the last relatively knock-down price amount of increase of current period sub-district knock-down price (B
n-B
N-1)/B
N-1, n is a natural number;
The comprehensive amount of increase computing module in current period sub-district is used for according to default sticker price amount of increase weight G
mWith knock-down price amount of increase weight O
m, obtain the comprehensive amount of increase Z in current period sub-district
m, this value equals that sticker price amount of increase and respective weights are long-pendingly to be added that knock-down price amount of increase and respective weights are and amass, with reference to following formula:
Z
m＝[(C
n-C
n-1)/C
n-1]×G
m+[(B
n-B
n-1)/B
n-1]×O
m；
Current period sub-district standard price computing module is used and be multiply by last sub-district standard price A with 1 with the comprehensive amount of increase sum in current period sub-district
N-1, obtain current period sub-district standard price, with reference to following formula:
A
n＝(1+Z
m)×A
n-1；
Building, current period building coefficients calculation block is used for obtaining X by building, last building standard price divided by last sub-district standard price
n=BP
N-1/ A
N-1
Building, current period building standard price computing module is used for by current period sub-district standard price A
nWith building, current period building coefficient X
nThe BP that multiplies each other and obtain
n=A
n* X
n
Current period house cover standard price computing module is used for building, current period building standard price BP
nIn conjunction with default floor coefficient F, towards coefficient O, area coefficient Ar, obtain house cover standard price HP
n, HP
nEqual BP
n, 1 add F, 1 to add O and four numerical value of Ar long-pending, with reference to following formula:
HP
n＝BP
n×(1+F)×(1+O)×Ar；
Sub-district sticker price of described current period is connected the comprehensive amount of increase computing module in current period sub-district with the knock-down price computing module, the comprehensive amount of increase computing module in described current period sub-district connects sub-district standard price computing module of described current period, sub-district standard price computing module of described current period connects building, building of described current period coefficients calculation block, building, building of described current period coefficients calculation block connects building, building of described current period standard price computing module, building, building of described current period standard price computing module connects house cover standard price computing module of described current period, and house cover standard price computing module of described current period connects sub-district sticker price of described current period and knock-down price computing module.
Described real estates dealing taxed price computing system also comprises: assessment base period sub-district standard price, base period sub-district sticker price and base period sub-district knock-down price computing module, in order to building, building standard price that assessment company is provided as building, base period building standard price BP
0, generate base period sub-district standard price A by arithmetic mean method
0Use least square method to obtain base period sub-district sticker price C respectively from second-hand house sticker price and the actual knock-down price of second-hand house
0With base period sub-district knock-down price B
0Described assessment base period sub-district standard price, base period sub-district sticker price and base period sub-district knock-down price computing module are connected sub-district sticker price of described current period and knock-down price computing module.
Present embodiment is a round-robin algorithm, with generating the relevant sub-district standard price of second-hand house transaction tax revenue, building, building standard price and house cover standard price.Along with the second-hand house sticker price and the actual knock-down price of second-hand house of continuous variation, last time calculating on the numerical value basis of gained, obtain up-to-date sub-district standard price, building, building standard price and house cover standard price, constantly move in circles.
At first set initial value, building, the building standard price that assessment company is provided is as building, base period building standard price BP
0, generate base period sub-district standard price A by arithmetic mean method
0Use least square method to obtain sub-district sticker price initial value C respectively from second-hand house sticker price and the actual knock-down price of second-hand house
0With sub-district knock-down price initial value B
0
In certain time period, variation has taken place in the actual knock-down price of second-hand house sticker price and second-hand house.Second-hand house sticker price in this time period and the actual knock-down price of second-hand house are used least square method, obtain current period sub-district sticker price C respectively
nWith current period sub-district knock-down price B
nThen can obtain the last relatively sticker price amount of increase of current period sub-district sticker price (C respectively
n-C
N-1)/C
N-1Relative last knock-down price amount of increase (B with current period sub-district knock-down price
n-B
N-1)/B
N-1In conjunction with sticker price amount of increase weight G
mWith knock-down price amount of increase weight O
mThereby, can obtain the comprehensive amount of increase Z in current period sub-district
m, this value equals sticker price amount of increase and the long-pending long-pending Z that adds knock-down price amount of increase and respective weights of respective weights
m=[(C
n-C
N-1)/C
N-1] * Gm+[(B
n-B
N-1)/B
N-1] * Om.Can obtain current period sub-district standard price A then
n, its value equal 1 with the comprehensive amount of increase sum in current period sub-district multiply by last sub-district standard price A
n=(1+Zm) * A
N-1For building, current period building coefficient X
n, can obtain X divided by last sub-district standard price by building, last building standard price
n=BP
N-1/ A
N-1Further again, just can obtain building, current period building standard price BP
n, this value is the current period sub-district standard price A that is gone out by previous calculations
nWith building, current period building coefficient X
nThe BP that multiplies each other and obtain
n=A
n* X
nAt last with building, current period building standard price BP
nIn conjunction with floor coefficient F, towards coefficient O, area coefficient Ar, obtain house cover standard price HP
n, HP
nEqual BP
n, 1 add the long-pending HP that F, 1 adds O and four numerical value of Ar
n=BP
n* (1+F) * (1+O) * Ar.Can begin new circulation afterwards.
Calculate first phase dynamic benchmark valency for example with the refined garden of Hangzhou moral, with reference to form 1
Table 1
Annotate: unit be first/square;
According to table 1, obtain sub-district base period standard price A
0Be 8554, and obtain least square method calculating base period sub-district sticker price C
0Be 9319, least square method is calculated base period sub-district knock-down price B
0Be 8199;
Below for calculating current period sub-district standard price A
n, building, current period building standard price BP
n, current period house cover standard price HP
n(n=1) process:
Least square method is calculated current period sub-district sticker price C
1Be 9471, least square method is calculated current period sub-district knock-down price B
1Be 8312;
The last relatively sticker price amount of increase of current period sub-district sticker price (C
1-C
0)/C
0Be 0.0191; The last relatively knock-down price amount of increase of current period sub-district knock-down price (B
1-B
0)/B
0Be 0.0138; Set sticker price amount of increase weight G
m=20%, knock-down price amount of increase weight O
m=80%;
The comprehensive amount of increase in current period sub-district=sticker price amount of increase * weight+knock-down price amount of increase * weight, i.e. Z
m=[(C
1-C
0)/C
0] * G
m+ [(B
1-B
0)/B
0] * O
m=0.01485;
Current period sub-district standard price=(the comprehensive amount of increase in 1+ current period sub-district) * last sub-district standard price, i.e. A
1=(1+Z
m) * A
0=8680.99;
Building, current period building coefficient=building, last building standard price/last sub-district standard price, i.e. X
1=BP
0/ A
0, obtain following table 2:
Building, building, Building 1, the refined garden of moral coefficient 1.00304
Building, building, Building 2, the refined garden of moral coefficient 1.00304
Building, building, Building 3, the refined garden of moral coefficient 1.00304
Building, building, Building 4, the refined garden of moral coefficient 1.00304
Building, building, Building 5, the refined garden of moral coefficient 0.98784
Table 2
Building, current period building standard price=current period sub-district standard price * building, current period building coefficient, i.e. BP
1=A
1* X
1, obtain following table 3:
1 building 8707.38, the refined garden of moral
2 buildings 8707.38, the refined garden of moral
3 buildings 8707.38, the refined garden of moral
4 buildings 8707.38, the refined garden of moral
5 buildings 8575.45, the refined garden of moral
Table 3
House cover standard price (such as: Unit 1, Building 2, the refined garden of the moral of current period 301 Room standard prices, 87 squares of areas), HP
1=BP
1* (1+F) * (1+O) * and Ar, wherein, floor coefficient F is 0.02, is 0.02 towards coefficient O, area coefficient Ar is 1.035, calculates HP
1=9376.2.
Claims (2)
1, a kind of real estates dealing taxed price computing system is characterized in that: described real estates dealing taxed price computing system comprises:
Current period sub-district sticker price and knock-down price computing module are used for second-hand house sticker price in the setting-up time section and the actual knock-down price of second-hand house are used least square method, obtain current period sub-district sticker price C respectively
nWith current period sub-district knock-down price B
nAnd calculate the last relatively sticker price amount of increase of current period sub-district sticker price (C
n-C
N-1)/C
N-1And the last relatively knock-down price amount of increase of current period sub-district knock-down price (B
n-B
N-1)/B
N-1, n is a natural number;
The comprehensive amount of increase computing module in current period sub-district is used for according to default sticker price amount of increase weight G
mWith knock-down price amount of increase weight O
m, obtain the comprehensive amount of increase Z in current period sub-district
m, this value equals that sticker price amount of increase and respective weights are long-pendingly to be added that knock-down price amount of increase and respective weights are and amass, with reference to following formula:
Z
m＝[(C
n-C
n-1)/C
n-1]×G
m+[(B
n-B
n-1)/B
n-1]×O
m；
Current period sub-district standard price computing module is used and be multiply by last sub-district standard price A with 1 with the comprehensive amount of increase sum in current period sub-district
N-1, obtain current period sub-district standard price, with reference to following formula:
A
n＝(1+Z
m)×A
n-1；
Building, current period building coefficients calculation block is used for obtaining X by building, last building standard price divided by last sub-district standard price
n=BP
N-1/ A
N-1
Building, current period building standard price computing module is used for by current period sub-district standard price A
nWith building, current period building coefficient X
nThe BP that multiplies each other and obtain
n=A
n* X
n
Current period house cover standard price computing module is used for building, current period building standard price BP
nIn conjunction with default floor coefficient F, towards coefficient O, area coefficient Ar, obtain house cover standard price HP
n, HP
nEqual BP
n, 1 add F, 1 to add O and four numerical value of Ar long-pending, with reference to following formula:
HP
n＝BP
n×(1+F)×(1+O)×Ar；
Sub-district sticker price of described current period is connected the comprehensive amount of increase computing module in current period sub-district with the knock-down price computing module, the comprehensive amount of increase computing module in described current period sub-district connects sub-district standard price computing module of described current period, sub-district standard price computing module of described current period connects building, building of described current period coefficients calculation block, building, building of described current period coefficients calculation block connects building, building of described current period standard price computing module, building, building of described current period standard price computing module connects house cover standard price computing module of described current period, and house cover standard price computing module of described current period connects sub-district sticker price of described current period and knock-down price computing module.
2, real estates dealing taxed price computing system as claimed in claim 1 is characterized in that: described real estates dealing taxed price computing system also comprises:
Assessment base period sub-district standard price, base period sub-district sticker price and base period sub-district knock-down price computing module, in order to building, building standard price that assessment company is provided as building, base period building standard price BP
0, generate base period sub-district standard price A by arithmetic mean method
0Use least square method to obtain base period sub-district sticker price C respectively from second-hand house sticker price and the actual knock-down price of second-hand house
0With base period sub-district knock-down price B
0Described assessment base period sub-district standard price, base period sub-district sticker price and base period sub-district knock-down price computing module are connected sub-district sticker price of described current period and knock-down price computing module.
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|---|---|---|---|
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831541A (en) * | 2012-08-14 | 2012-12-19 | 上海克而瑞信息技术有限公司 | Automatic assessment method and device of house value |
| CN103345718A (en) * | 2013-07-15 | 2013-10-09 | 北京拓世寰宇网络技术有限公司 | Second-hand house price assessment method |
| CN103886477A (en) * | 2012-12-22 | 2014-06-25 | 中国科学院深圳先进技术研究院 | Stock house batch evaluation method based on market comparison method |
| CN104700334A (en) * | 2013-12-04 | 2015-06-10 | 航天信息股份有限公司 | Real estate transaction tax integrated house price evaluation method |
| CN105590239A (en) * | 2015-12-25 | 2016-05-18 | 北京云房数据技术有限责任公司 | Real estate price calculating method and system |
| WO2017128305A1 (en) * | 2016-01-29 | 2017-08-03 | 盛玉伟 | Method and system for managing transaction fees for real estate website |
| WO2017173564A1 (en) * | 2016-04-05 | 2017-10-12 | 盛玉伟 | Real estate price estimation method and system |
| CN108256916A (en) * | 2018-01-17 | 2018-07-06 | 郑州智高电子科技有限公司 | A kind of 3D printing center sharing method and its platform |
| CN109255659A (en) * | 2018-09-26 | 2019-01-22 | 青岛禧泰房地产数据有限公司 | A kind of automatic valuation methods of real estate based on raster data |
-
2009
- 2009-06-17 CN CNA2009100998638A patent/CN101599162A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831541A (en) * | 2012-08-14 | 2012-12-19 | 上海克而瑞信息技术有限公司 | Automatic assessment method and device of house value |
| CN103886477A (en) * | 2012-12-22 | 2014-06-25 | 中国科学院深圳先进技术研究院 | Stock house batch evaluation method based on market comparison method |
| CN103345718A (en) * | 2013-07-15 | 2013-10-09 | 北京拓世寰宇网络技术有限公司 | Second-hand house price assessment method |
| CN104700334A (en) * | 2013-12-04 | 2015-06-10 | 航天信息股份有限公司 | Real estate transaction tax integrated house price evaluation method |
| CN105590239A (en) * | 2015-12-25 | 2016-05-18 | 北京云房数据技术有限责任公司 | Real estate price calculating method and system |
| WO2017128305A1 (en) * | 2016-01-29 | 2017-08-03 | 盛玉伟 | Method and system for managing transaction fees for real estate website |
| WO2017173564A1 (en) * | 2016-04-05 | 2017-10-12 | 盛玉伟 | Real estate price estimation method and system |
| CN108256916A (en) * | 2018-01-17 | 2018-07-06 | 郑州智高电子科技有限公司 | A kind of 3D printing center sharing method and its platform |
| CN109255659A (en) * | 2018-09-26 | 2019-01-22 | 青岛禧泰房地产数据有限公司 | A kind of automatic valuation methods of real estate based on raster data |
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Open date: 20091209 |