CN103996141A - Patent earning computing method and model - Google Patents
Patent earning computing method and model Download PDFInfo
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- CN103996141A CN103996141A CN201410264688.4A CN201410264688A CN103996141A CN 103996141 A CN103996141 A CN 103996141A CN 201410264688 A CN201410264688 A CN 201410264688A CN 103996141 A CN103996141 A CN 103996141A
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Abstract
The invention provides a patent earning computing method and model. Influences and effects of a patent validity factor and a patent contribution factor on patent product total earnings are respectively analyzed, values are assigned to the two factors, the distribution relation of the patent product total earnings is formed, and patent earnings are obtained by continuously multiplying the two factors and the total earnings. The patent earning computing model is composed of a patent and element relative control force model and a patent and patent relative control force model. Under the patent and element relative control force model, the relative control relation of patents and other elements to the earnings is analyzed to obtain a value of the patent validity factor. Under the patent and patent relative control force model, contributions and influences of the patents and other patents to the earnings are analyzed to obtain a value of the patent contribution factor. By means of the patent earning computing method, the current earnings of the patent can be accurately computed, a reference is provided for computing future earnings of the patent, and a basis is provided for computing the patent transferring price.
Description
Technical field
The present invention relates to a kind of computing method and model of patent income.
Background technology
Patent is as a kind of important intangible asset, and its price evaluation perplexs a difficult problem for industry often.Patent assets assessment at present mainly adopts three kinds of methods as intangible asset, is respectively cost-or-market method, income approach, market method.These three kinds of methods have all been write into the < < intangible asset criterion > > of Ministry of Finance's establishment.Research and development when cost-or-market method is mainly considered new product development drop into, although this method is simple, can underestimate the price of patent assets.Market method needs the historical data according to passing patent transaction, is often difficult to obtain.Therefore in actual assessment process, the most frequently used is income approach.
Income ratio juris is to calculate the income that patent can be brought for obligee, then predicts the income of patent in the following term of validity, after discounting bear interest add and, be exactly the price of patent assets.Use income approach to assess patent assets, what first will solve is how the income of patent is calculated, and the method that currently available technology is calculated patent income is by regard as the income of patent to peeling off remaining part after the contribution of capital assets in the income of obligee's sell goods or service.This method is because the height of the management level because of obligee can cause the difference of income, so can the income of patent be caused and be underestimated.In addition, when different Asset assessment organizations or appraiser determine income to same patent, angle is different, view is different, estimate different with the experience of foundation, all can cause the criteria for classifying of patent income different, so the result of assay is will difference larger, lack objective standard, evaluation process lacks the support of data, there is no mathematical operation, lacks logicality and tightness.Therefore in prior art there is very large deficiency in the algorithm about patent income.
The income of patent should be adopted and how to calculate on earth so, and what the foundation of calculating and model be, has which factor can affect the income of patent, and these problems all exist always and perplexing the assessment that relates to patent assets in intangible asset.
The present invention proposes a kind of computing method and model of patent income, has effectively solved patent income because of the different problem of different obligees' enforcement.The present invention has defined the definition of patent income, and the clear and definite intension of patent income has proposed the algorithm of patent income, has determined assay standard and basis, has ensured science, objectivity, accuracy and the authenticity of patent income calculation result.Technical scheme proposed by the invention, for further accurate analysis and the transfer price of calculating patent provide algorithm basis.
Summary of the invention
The technical problem to be solved in the present invention is to overcome in prior art the computing method of patent income science not, thereby causes different obligees to implement the different problem of income of patent.In the prior art, the algorithm of patent income does not have formula of mathematical, be mainly to sell the contribution of deducting capital assets and other key element the income of patented product or service from obligee, remaining is exactly the contribution of patent, and determines thus the income of patent.
The result of calculation of patent income should be objective and unique.The present invention proposes a kind of algorithm of patent income, comprises patented product total revenue, the patent validity factor, three variablees of the patent contribution factor.By analyzing and the value that calculates the patent validity factor and the patent contribution factor, patented product total revenue, the patent validity factor, the patent contribution factor multiplies each other continuously, can obtain patent income.Algorithm is formulated as:
P(P)＝P(T)×α
PV×α
PC
P (P)---patent income;
P (T)---patented product total revenue;
α
pV---the patent validity factor;
α
pC---the patent contribution factor;
Wherein, patented product total revenue P (T) is including but not limited to following implication: patent relates to product or service in the total revenue of patent the country one belongs to, specifically can be equal to that patent relates to product or the gross profit of acquisition is sold in service in patent the country one belongs to previous year.
Patent validity factor-alpha
pVrefer to other key elements such as the relative capital of patent, technology, human resources, channel, production natural conditions, policies laws environment to the control of patented product total revenue or contribution degree, its span is " 0-1 ".Analyzing patent validity factor-alpha
pVtime, should be to comprising patent in 7 interior whole assignment of key element, codomain scope is all " 0-1 ", 7 key element assignment sums should equal " 1 ".
Patent contribution factor-alpha
pCwhat describe is the relation of the patent that patent is relevant with product to other, specifically refers to the ratio in patent value degree and patent value space, is the contribution degree of patent in patent value space, and its span is " 0-1 ".Patent value space refers to the value degree sum of all patents relevant to patented product.Patent contribution factor-alpha
pCspecific algorithm be formulated as:
α
pC---the patent contribution factor;
PVD---patent value degree;
---patent value space;
The present invention also proposes a kind of model that calculates patent income, and patent income is by patented product total revenue cut apart to calculate patent income.The scale of cutting apart is the patent validity factor and the patent contribution factor, sees Fig. 1.
Its Patent validity factor is analyzed and valuation by patent validity model, and patent validity model is the controls of the relatively some key elements of patent to patented product total revenue, or the contribution degree of the relatively some key elements of patent to patented product total revenue.Some key elements generally refer to 7 key elements such as patent, capital, technology, human resources, channel, production natural conditions, policies laws environment, see Fig. 2.
The patent contribution factor is carried out analysis and calculation by patent contribution model, patent contribution model is for describing the relation between patent and other patent relevant with patented product, is that patent is with respect to value accounting or the contribution degree of all patents relevant with patented product.Being worth accounting or contribution degree is the ratio in patent value degree and patent value space, sees Fig. 3.
Accompanying drawing explanation
Fig. 1 is patent income calculation model schematic diagram.
Fig. 2 is patent validity factor computation model schematic diagram.
Fig. 3 is patent contribution factor computation model schematic diagram.
Embodiment
The patent of invention < < dark door absorption device > > CN102182371B of take is example, this patent is filed an application on April 26th, 2011, on February 19th, 2014 obtains the authorization, and patentee is Shanghai Yangyang Daduoli Special Tack Co., Ltd..
According to investigation, within 2013, the whole nation is sold about 4,000 ten thousand of door-inhale, 50 yuan/of average prices, sales volume approximately 2,000,000,000 Renminbi, rate of gross profit approximately 15%, approximately 300,000,000 yuans of total profits altogether;
Through those skilled in the art, analyze test and appraisal, each key element, to the control of door attraction device gross profit (contribution degree), is used validity factor representation, as following table:
Therefore, patent validity factor-alpha
pV=0.1.
Through appraiser's assay, the patent value degree PVD of < < dark door absorption device > > CN102182371B is 3.9, door attraction device product scope patent total value space is 172.8, according to formula
calculate patent contribution factor-alpha
pC=0.023.
According to formula P (P)=P (T) * α
pV* α
pCcalculate, the patent income P (P) of < < dark door absorption device > > CN102182371B is 670,000 yuan of Renminbi.
Claims (10)
1. the computing method of a patent income, it is characterized in that, comprise patented product total revenue, the patent validity factor, the patent contribution factor, by analyzing and the value that calculates the patent validity factor and the patent contribution factor, patented product total revenue, the patent validity factor, the patent contribution factor multiplies each other continuously, can obtain patent income, algorithm is formulated as:
P(P)＝P(T)×α
PV×α
PC
P (P) is patent income;
P (T) is patented product total revenue;
α
pVfor the patent validity factor;
α
pCfor the patent contribution factor.
2. the computing method of patent income as claimed in claim 1, it is characterized in that, described patented product total revenue P (T) refers to patent and relates to product or serve the total revenue in patent the country one belongs to, specifically can be equal to patent and relates to product or serve in patent the country one belongs to previous year and sell the gross profit obtaining.
3. the computing method of patent income as claimed in claim 1, is characterized in that, described patent validity factor-alpha
pVrefer to other key elements such as the relative capital of patent, technology, human resources, channel, production natural conditions, policies laws environment to the control of patented product total revenue or contribution degree, its span is 0-1.
4. the computing method of patent income as claimed in claim 1, is characterized in that, described patent contribution factor-alpha
pCwhat describe is the relation of the patent that patent is relevant with product to other, specifically refers to the ratio in patent value degree and patent value space, is the contribution degree of patent in patent value space, and its span is " 0-1 ", patent contribution factor-alpha
pCspecific algorithm be formulated as:
α
pCfor the patent contribution factor;
PVD is patent value degree;
for patent value space.
5. the computing method of patent income as claimed in claim 4, is characterized in that, described value space
refer to the value degree sum of all patents relevant to patented product.
6. a model that calculates patent income, is characterized in that, patent income be by patented product total revenue cut apart to calculate patent income, the scale of cutting apart is the patent validity factor and the patent contribution factor.
7. the model of calculating patent income as claimed in claim 6, it is characterized in that, the described patent validity factor is analyzed and valuation by patent validity model, patent validity model is the controls of the relatively some key elements of patent to patented product total revenue, or the contribution degree of the relatively some key elements of patent to patented product total revenue.
8. the model of calculating patent income as claimed in claim 7, is characterized in that, described some key elements generally refer to 7 key elements such as patent, capital, technology, human resources, channel, production natural conditions, policies laws environment.
9. the model of calculating patent income as claimed in claim 6, it is characterized in that, the described patent contribution factor is carried out analysis and calculation by patent contribution model, patent contribution model is for describing the relation between patent and other patent relevant with patented product, is that patent is with respect to value accounting or the contribution degree of all patents relevant with patented product.
10. the model of calculating patent income as claimed in claim 9, is characterized in that, described value accounting or contribution degree are the ratio in patent value degree and patent value space.
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| CN201410264688.4A CN103996141A (en) | 2014-06-13 | 2014-06-13 | Patent earning computing method and model |
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| CN201410264688.4A CN103996141A (en) | 2014-06-13 | 2014-06-13 | Patent earning computing method and model |
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| CN103996141A true CN103996141A (en) | 2014-08-20 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104299097A (en) * | 2014-10-20 | 2015-01-21 | 陶冶 | Computing method for patent trading index and analysis method for patent tradable performance |
| CN107533713A (en) * | 2015-05-20 | 2018-01-02 | 日本精工株式会社 | Price fixing accessory system, price fixing auxiliary program, price fixing householder method, knowledge property evaluation accessory system, knowledge property evaluation auxiliary program and knowledge property evaluation setting householder method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040010393A1 (en) * | 2002-03-25 | 2004-01-15 | Barney Jonathan A. | Method and system for valuing intangible assets |
| CN1833254A (en) * | 2003-10-23 | 2006-09-13 | 株式会社Ipb | Enterprise evaluation device and enterprise evaluation program |
| CN102598044A (en) * | 2009-11-13 | 2012-07-18 | 徐振玮 | A method and system for managing security unit associated with intellectual property assets |
-
2014
- 2014-06-13 CN CN201410264688.4A patent/CN103996141A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040010393A1 (en) * | 2002-03-25 | 2004-01-15 | Barney Jonathan A. | Method and system for valuing intangible assets |
| CN1833254A (en) * | 2003-10-23 | 2006-09-13 | 株式会社Ipb | Enterprise evaluation device and enterprise evaluation program |
| CN102598044A (en) * | 2009-11-13 | 2012-07-18 | 徐振玮 | A method and system for managing security unit associated with intellectual property assets |
Non-Patent Citations (2)
| Title |
|---|
| 任声策 等: "基于专利价值的技术标准联盟收益分配问题研究", 《科技管理研究》 * |
| 张彦巧 等: "企业专利价值量化评估模型实证研究", 《情报杂志》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104299097A (en) * | 2014-10-20 | 2015-01-21 | 陶冶 | Computing method for patent trading index and analysis method for patent tradable performance |
| CN107533713A (en) * | 2015-05-20 | 2018-01-02 | 日本精工株式会社 | Price fixing accessory system, price fixing auxiliary program, price fixing householder method, knowledge property evaluation accessory system, knowledge property evaluation auxiliary program and knowledge property evaluation setting householder method |
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Application publication date: 20140820 |