A method and system for evaluating the value of carbon assets in urban renewal, and a medium

Abstract

The application belongs to the technical field of urban low-carbon planning, carbon asset value assessment and green finance, and discloses a kind of urban renewal carbon asset value assessment method, system and medium, the method includes S1: the acquisition and standardization processing of carbon asset basic data;S2: four-dimensional carbon asset value assessment model containing commodity value, asset value, option value, social value is constructed;S3: the combination evaluation algorithm of market comparison method+income present value method+physical option pricing method is used, commodity value, asset value, option value, social value are quantified respectively;And the quantitative conversion mechanism of carbon value and urban renewal incentive policy is established, the economic value of unit carbon emission reduction is converted from plot ratio reward, tax reduction and exemption, forming a policy incentive-carbon value conversion coefficient library;S4: the dynamic correction model of carbon asset value based on dynamic carbon price and policy adjustment is constructed, and the total value of carbon assets is dynamically corrected;S5: generate a standardized carbon asset value assessment report.

Description

Technical Field

[0001] This application belongs to the technical field of urban low-carbon planning, carbon asset valuation and green finance, and in particular relates to a method, system and medium for carbon asset valuation in urban renewal. Background Technology

[0002] Carbon assets have become a core potential benefit of urban renewal projects, but there are significant technical deficiencies in the current field of carbon asset valuation: (1) The evaluation dimensions are too narrow. Existing methods only focus on the commodity value of carbon market transactions, ignoring the green financial collateral value of carbon assets, the option value to cope with future carbon constraints, and the social brand value, and cannot fully reflect the actual value of carbon assets. (2) Value transformation is disconnected. A quantitative conversion mechanism has not been established for carbon emission reductions and policy incentives such as green credit interest subsidies and floor area ratio rewards. Policy dividends cannot be transformed into quantifiable economic value parameters, making it difficult to connect with the green finance market. (3) Static assessment limitations: Traditional assessment models are based on fixed carbon prices and policy parameters, which cannot adapt to dynamic scenarios such as carbon market price fluctuations and policy adjustments. The assessment results lack timeliness and practicality. (4) Poor method adaptability: The single market comparison method or the present value of income method is difficult to cover the multiple value transformation paths of carbon assets, resulting in large deviations in the value assessment results and failing to provide a reliable basis for green finance financing and project decision-making.

[0003] Existing patents related to carbon accounting in urban renewal only quantify the physical quantities of carbon emission reduction, and carbon-economic optimization patents only consider carbon value as one of the optimization objectives. Neither has solved the core problem of accurately assessing the multi-dimensional value of carbon assets, nor has it constructed a "physical quantity to value quantity" conversion system adapted to urban renewal scenarios. There is an urgent need in this field for a carbon asset valuation method and system that covers multiple values, supports dynamic adjustments, and connects policy and finance, filling the technological gap in the core aspects of carbon asset valuation. Summary of the Invention

[0004] The purpose of this application is to overcome the existing technical problems and disclose a method, system and medium for assessing the value of carbon assets in urban renewal. This application constructs a four-dimensional value assessment model, designs a combined assessment algorithm and a policy-value quantification conversion mechanism, and develops a dynamic correction model to provide core technical support for the implementation of carbon asset valuation in urban renewal.

[0005] On the one hand, the objective of this application is achieved through the following technical solution: A method for assessing the value of carbon assets in urban renewal, the method comprising: S1: Collection and standardization of basic carbon asset data. Collect certified net carbon emission reductions of urban renewal projects, carbon market data, green finance policy parameters, urban renewal incentive policy provisions, and relevant data on the project's main brand. Standardize the collected data to form a standardized dataset. S2: Construct a four-dimensional carbon asset valuation model that includes commodity value, asset value, option value, and social value. The total value is the weighted sum of the values ​​of each dimension, expressed as:

[0006] in, Indicates the value of a commodity. Indicates asset value. Indicates the option value. Representing social value, ~ The weights for each value dimension are determined by the analytic hierarchy process (AHP), and ; S3: A combined valuation algorithm using the market comparison method, the present value of income method, and the real option pricing method is adopted to quantify the value of commodities, assets, options, and social value respectively. Furthermore, a quantitative conversion mechanism for carbon value and urban renewal incentive policies will be established, transforming floor area ratio bonuses and tax reductions into economic value per unit of carbon emission reduction, thus forming a policy incentive-carbon value conversion coefficient library. S4: Construct a dynamic adjustment model for carbon asset value based on dynamic carbon prices and policy adjustments to dynamically adjust the total value of carbon assets, expressed as:

[0007] in, This represents the revised total value of carbon assets. , The correction factor is determined based on the project type and policy type. For the fluctuation range of carbon prices, The fluctuation range of policy incentive value; S5: Outputs the value quantification results of each dimension, the total value of carbon assets, the proportion of value composition, and the dynamic correction curve, generating a standardized carbon asset valuation report.

[0008] According to a preferred embodiment, in step S2, the value of the goods is:

[0009] in, To verify net carbon emission reductions, For carbon market spot trading prices, Carbon trading fee rates; Asset value:

[0010] Where L is the carbon asset collateral ratio. Let T be the annual interest rate difference between green loans and conventional loans, and T be the financing term. Option value is calculated using the Black-Scholes model:

[0011]

[0012]

[0013] in, Let K be the current market value of the carbon asset, K be the unit emission reduction cost under future carbon constraints, r be the risk-free interest rate, and t be the option term. This represents the annual volatility of carbon prices. This is the cumulative probability function of the standard normal distribution; Social value:

[0014] in, Quantify unit price to incentivize policy. The implicit economic value brought about by brand enhancement.

[0015] According to a preferred embodiment, in step S3, the precise quantification of the value of each dimension includes: Commodity value quantification: Using the market comparison method, carbon trading cases of urban renewal projects of the same region and type are selected for comparison, carbon market trading prices are adjusted, and commodity value is calculated in combination with formula; Quantification of asset value and policy-related social value: Using the present value of income method, the interest savings from financial financing and the future benefits of policy incentives are discounted to the valuation date at the risk-free rate to calculate the corresponding value; Option value quantification: The real option pricing method is adopted, and the option value is calculated based on the historical volatility of carbon prices, the prediction of future emission reduction costs, and the Black-Scholes model. Quantifying the social value of brand enhancement: Using a combination of expert scoring and market research, industry experts and market analysts are selected to score the brand value enhancement brought by carbon assets, and the brand value is determined in conjunction with the revenue scale of the project entity.

[0016] According to a preferred embodiment, the conversion algorithm between policy incentives and carbon value in step S3 is as follows: Floor area ratio bonus conversion:

[0017] in, S represents the increase in plot ratio, and S represents the land area of ​​the plot. The land price per unit floor area; Tax reduction and exemption conversion:

[0018] in, Let be the tax relief amount in year t, r be the discount rate, and T be the tax relief period; Conversion of composite policy incentives:

[0019] in, Let k be the quantified unit price of the policy term. As a policy weight.

[0020] According to a preferred embodiment, in step S4, the correction coefficients α and β are determined according to the project type and policy type, and their values ​​range from 0.5 to 1.2.

[0021] On the other hand, this application also discloses: A system for assessing the value of carbon assets in urban renewal, employing the aforementioned method to evaluate the value of carbon assets in urban renewal. The urban renewal carbon asset valuation system includes: a data layer, a module layer, and an application layer. The data layer includes: carbon accounting database, carbon market database, policy parameter database, financial institution database, and brand research database; The module layer includes: a data collection and standardization module, a multi-dimensional value assessment module, a policy-value conversion module, a dynamic correction module, and a results output and visualization module; The application layer includes: user interface, report generation interface, visualization interface, and data export interface, and supports permission division.

[0022] According to a preferred embodiment, the data acquisition and standardization module is equipped with a multi-source data interface, which supports the connection with carbon accounting systems, carbon trading platforms, and government policy platforms, and has built-in data cleaning, verification, and standardization units. The multi-dimensional value assessment module is the core computing engine, which includes a four-dimensional value assessment model, a weight calculation unit of the analytic hierarchy process, and a combined assessment algorithm of market comparison method / present value of income method / real option pricing method. The policy-value conversion module has a built-in library of policy incentive quantitative conversion coefficients, which supports automatic parsing of policy provisions and extraction of key parameters. The dynamic correction module has a built-in real-time data docking unit and a value correction model calculation unit to realize the dynamic correction of carbon asset value. The results output and visualization module supports the generation of standardized evaluation reports, multi-format visualization, and data export.

[0023] According to a preferred embodiment, the hardware carrier of the system is a server, a terminal computer, or a mobile terminal, supporting both cloud deployment and local deployment.

[0024] According to a preferred embodiment, the coefficient library in the policy-value conversion module is a dynamically updated library, which can adjust and update the conversion formula and calibration coefficients in real time according to local urban renewal policies. The dynamic correction module can be customized to set the time frequency of real-time data docking, and supports data updates at the daily / monthly / yearly level. The results output and visualization module supports bar charts, pie charts, line charts, and radar charts, and supports interactive operation.

[0025] On the other hand, this application also discloses: A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the aforementioned urban renewal carbon asset valuation method.

[0026] The aforementioned main solution and its various further alternative solutions can be freely combined to form multiple solutions, all of which are solutions that can be adopted and are claimed in this application. Those skilled in the art, after understanding the solution of this application, will realize that there are many combinations based on the prior art and common general knowledge, all of which are technical solutions to be protected in this application, and will not be exhaustively listed here.

[0027] The beneficial effects of this application are: Comprehensive assessment dimensions, filling technological gaps: For the first time, a four-dimensional carbon asset valuation model has been constructed, including commodities, assets, options, and social value. This model breaks through the limitations of traditional single-market valuation, comprehensively reflects the actual economic value of urban renewal carbon assets, and fills the core technological gap in the transformation of physical quantity to value of urban renewal carbon assets. Precise value transformation, connecting policy and finance: Establish a quantitative conversion mechanism for carbon value and policy incentives such as floor area ratio rewards and tax breaks, build a standardized conversion coefficient library, and transform policy dividends and green finance returns into directly applicable economic parameters, so as to achieve seamless connection between carbon assets and the green finance market and local incentive policies. Strong dynamic adaptability and improved timeliness of results: The development of a dynamic correction model for carbon asset value connects to the carbon market and policy platform in real time, automatically adapts to dynamic scenarios such as carbon price fluctuations and policy adjustments, solves the timeliness problem of traditional static assessment, and makes the assessment results more in line with actual application scenarios. Scientifically adapted methods improve assessment accuracy: A combined assessment algorithm of market comparison method, present value of income method and real option pricing method is adopted. The optimal assessment method is adapted to the characteristics and transformation path of different value dimensions. The analytic hierarchy process is combined to determine the dimension weights, which greatly improves the accuracy and reliability of carbon asset value assessment. The system features a modular design and strong practicality: It adopts a modular architecture, supports data integration with existing carbon accounting, carbon trading, and BIM / GIS platforms, and has functions such as real-time data collection, automated calculation, visualization, and automatic report generation. It is easy to operate, highly scalable, and the assessment results can directly provide a basis for green financing, scheme decision-making, and policy formulation for urban renewal projects, thus promoting the realization of carbon asset value. Risks are controllable, providing decision support: The assessment process clarifies data sources and calculation assumptions, outputs dynamic value change curves and risk warnings, and provides project owners and decision-making departments with risk predictions of carbon asset value fluctuations, thereby improving the scientific nature and controllability of decision-making. Attached Figure Description

[0028] Figure 1 This is a flowchart illustrating the urban renewal carbon asset valuation methodology used in this application. Figure 2 This is a schematic diagram of the urban renewal carbon asset valuation system structure for this application. Detailed Implementation

[0029] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0030] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In the description of this application, it should also be noted that, unless otherwise expressly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0031] Furthermore, it should be noted that unless otherwise specified in this application, the specific structures, connections, positions, power sources, etc. involved are all things that a person skilled in the art can know without creative effort based on the prior art.

[0032] Example 1 refer to Figure 1 As shown in the figure, a method for assessing the value of carbon assets in urban renewal is illustrated. The method includes the following steps.

[0033] Step S1: Collection and standardization of basic carbon asset data. Collect certified net carbon emission reductions ΔC of urban renewal projects, carbon market data (spot / forward), green finance policy parameters (loan-to-value ratio, interest rate spread, financing term), urban renewal incentive policy provisions (floor area ratio bonus, tax reduction, green channel), and project brand-related data (industry influence, brand valuation coefficient). Standardize the collected data to form a standardized dataset.

[0034] Step S2: Construct a four-dimensional carbon asset valuation model that includes commodity value, asset value, option value, and social value. The total value is the weighted sum of the values ​​of each dimension, expressed as:

[0035] in, Indicates the value of a commodity. Indicates asset value. Indicates the option value. Representing social value, ~ The weights for each value dimension are determined by the analytic hierarchy process (AHP), and .

[0036] Specifically, the value of the commodity:

[0037] in, To verify net carbon emission reductions, For carbon market spot trading prices, Carbon trading fee rates; Asset value:

[0038] Where L is the carbon asset collateral ratio (ranging from 0 to 1, determined by financial institutions). Let T be the annual interest rate difference between green loans and conventional loans, and T be the financing term. Option value, based on the realization of the option to cope with future carbon constraints and obtain policy dividends, reflects the potential value of carbon assets in hedging against future carbon cost increases and enjoying policy benefits. It is calculated using the real option pricing method (Black-Scholes model):

[0039]

[0040]

[0041] in, Let K be the current market value of the carbon asset, K be the unit emission reduction cost under future carbon constraints, r be the risk-free interest rate (using the annualized yield of government bonds), and t be the option term. This represents the annual volatility of carbon prices (calculated based on historical carbon price data). This is the cumulative probability function of the standard normal distribution; Social value:

[0042] in, The unit price is quantified to reflect policy incentives (calculated from policies such as floor area ratio bonuses and tax breaks). The implicit economic value brought by brand enhancement (determined based on market research and industry brand valuation models).

[0043] Step S3: Employ a combined valuation algorithm combining the market comparison approach, the present value of income approach, and the real option pricing approach to quantify the value of the commodity, the asset, the option, and the social value. Establish a quantitative conversion mechanism between carbon value and urban renewal incentive policies, transforming floor area ratio bonuses and tax breaks into the economic value per unit of carbon emission reduction, thus creating a policy incentive-carbon value conversion coefficient library.

[0044] Preferably, in step S3, the precise quantification of the value of each dimension includes: Commodity value quantification: Using the market comparison method, carbon trading cases of urban renewal projects of the same region and type are selected for comparison, carbon market trading prices are adjusted, and commodity value is calculated in combination with formula; Quantification of asset value and policy-related social value: Using the present value of income method, the interest savings from financial financing and the future benefits of policy incentives are discounted to the valuation date at the risk-free rate to calculate the corresponding value; Option value quantification: The real option pricing method is adopted, and the option value is calculated based on the historical volatility of carbon prices, the prediction of future emission reduction costs, and the Black-Scholes model. Quantifying the social value of brand enhancement: Using a combination of expert scoring and market research, industry experts and market analysts are selected to score the brand value enhancement brought by carbon assets, and the brand value is determined in conjunction with the revenue scale of the project entity.

[0045] Furthermore, the conversion algorithm between policy incentives and carbon value in step S3 is as follows: Floor area ratio bonus conversion:

[0046] in, The economic value of a unit of carbon emission reduction corresponding to the floor area ratio bonus. S represents the increase in plot ratio, and S represents the land area of ​​the plot. The land price per unit floor area; Tax reduction and exemption conversion:

[0047] in, The economic value of a unit of carbon emission reduction corresponding to tax breaks. Let be the tax relief amount in year t, r be the discount rate, and T be the tax relief period; Conversion of composite policy incentives:

[0048] in, To quantify unit prices in order to provide comprehensive policy incentives, Let k be the quantified unit price of the policy term. As a policy weight.

[0049] Step S4: Construct a dynamic adjustment model for carbon asset value based on dynamic carbon prices and policy adjustments to dynamically adjust the total value of carbon assets, expressed as:

[0050] in, This represents the revised total value of carbon assets. , The correction factor is determined based on the project type and policy type. For the fluctuation range of carbon prices, This represents the fluctuation range of the policy incentive value. The correction coefficients α and β are determined according to the project type and policy type, and their values ​​range from 0.5 to 1.2.

[0051] Step S5: Output the value quantification results for each dimension, the total value of carbon assets, the proportion of value composition, and the dynamic correction curve, and generate a standardized carbon asset valuation report.

[0052] Example 2 Based on Example 1, this example also discloses: an urban renewal carbon asset valuation system. The hardware carrier of the system is a server, a terminal computer, or a mobile terminal, supporting cloud deployment and local deployment. The urban renewal carbon asset valuation system uses the aforementioned method to assess the value of urban renewal carbon assets, and includes: a data layer, a module layer, and an application layer.

[0053] Preferably, the data layer includes: a carbon accounting database, a carbon market database, a policy parameter database, a financial institution database, and a brand research database; the module layer includes: a data collection and standardization module, a multi-dimensional value assessment module, a policy-value conversion module, a dynamic correction module, and a result output and visualization module; the application layer includes: a user interface, a report generation interface, a visualization display interface, and a data export interface, supporting access control.

[0054] Furthermore, the data collection and standardization module is equipped with multi-source data interfaces, including carbon accounting results, carbon market data, policy texts, financial institutions data, and brand research data. It supports seamless integration with existing carbon accounting systems, carbon trading platforms, government policy platforms, and BIM / GIS platforms. The module also includes built-in data cleaning, verification, and standardization units to remove outliers, unify units, and correct deviations in the collected raw data, generating standardized datasets and storing them in a local database.

[0055] Furthermore, the multi-dimensional value assessment module is the core computing engine, which has a built-in four-dimensional value assessment model, a weight calculation unit of the analytic hierarchy process, and a combined assessment algorithm of market comparison method / present value of income method / real option pricing method. It supports the automated quantitative calculation of value in each dimension and allows for customized adjustment of model parameters and algorithm coefficients according to project type.

[0056] Furthermore, the policy-value conversion module has a built-in policy incentive quantitative conversion coefficient library, which stores conversion formulas and calibration coefficients for common policies such as floor area ratio rewards and tax reductions; it supports automatic parsing of policy provisions and extraction of key parameters, enabling rapid conversion of policy incentives into the economic value per unit of carbon emission reduction, and the coefficient library supports dynamic updates.

[0057] Furthermore, the dynamic correction module has a built-in real-time data docking unit that can obtain dynamic data from the carbon market trading platform and government policy release platform at regular intervals (minutes / hours / days); it also has a built-in value correction model calculation unit that automatically and dynamically corrects the total value of carbon assets based on carbon price fluctuations and policy adjustment information, generating value change curves and correction logs.

[0058] Furthermore, the result output and visualization module supports multiple result output formats, can generate standardized carbon asset valuation reports (Word / PDF format), and supports data export (Excel / CSV format); it has a built-in visualization engine that can visualize the value composition, value proportion, and dynamic change trends of each dimension in the form of bar charts, pie charts, line charts, radar charts, etc., and supports interactive operations (such as parameter adjustment and scenario simulation).

[0059] Example 3 Based on Embodiment 1, this application also discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned urban renewal carbon asset valuation method.

[0060] Application Cases Taking an urban renewal project in an old residential area as an example, this paper details the specific implementation process of the present invention. This embodiment is only used to explain the present invention and does not constitute a limitation on the scope of protection of the present invention.

[0061] I. Basic Project Information This project is a comprehensive renovation project of old residential areas in the central urban area of ​​Chengdu. The plot covers an area of ​​20,000 square meters and has a verified net carbon emission reduction of ΔC=7,452 tons of CO2e throughout its entire life cycle. The project type is a people-oriented urban renewal project, and the policy orientation is "low carbon and economic balance".

[0062] II. Basic Data Collection and Standardization Collect core basic data and standardize it. Key parameters are as follows: Carbon market spot prices =80 yuan / ton CO2e, carbon trading fee rate =2%; Green loan collateral ratio L=50%, annual interest rate difference between green loans and ordinary loans =2%, financing term T=10 years; With a risk-free interest rate of 3%, a future unit emission reduction cost under carbon constraints of K = 120 yuan / ton CO2e, and an annual carbon price volatility of [missing information]. =20%, option term t=3 years; The increase in floor area ratio brought by carbon assets =0.2, land price per square meter of floor area =8000 yuan / ㎡; Brand Enhancement of Implicit Economic Value =20,000 yuan.

[0063] III. Determining Dimension Weights Using the Analytic Hierarchy Process (AHP), combined with project type and policy guidance, the weights of each value dimension were determined: =0.4 (value of goods) =0.3 (asset value) =0.2 (option value) =0.1 (social value), which satisfies the requirement that the sum of weights is 1.

[0064] IV. Value Quantification in Each Dimension Commodity value: Yuan; Asset value: Yuan; Option value: Calculated using the Black-Scholes model. , , , Yuan; Social value: First calculate the quantified unit price of the floor area ratio bonus. Price per ton of CO2e, policy incentive value Yuan, social value Yuan (Tax reductions and exemptions are not considered in this embodiment) V. Total Value Calculation and Dynamic Adjustment Total value: Yuan; Dynamic adjustment: If carbon prices rise by 10% ( The adjustment of the floor area ratio bonus cap increases the policy incentive value by 5%. Calibration correction factor , The total value after correction Yuan.

[0065] VI. Results Output The system generates standardized assessment reports, visually displaying the value proportions of each dimension: commodity value 75.1%, asset value 9.2%, option value 6.0%, and social value 9.7%; it outputs dynamic value correction curves under carbon price fluctuations of ±5%, ±10%, and ±15%, providing a basis for green financing and decision-making for projects.

[0066] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for assessing the value of carbon assets in urban renewal, characterized in that, The urban renewal carbon asset valuation method includes: S1: Collection and standardization of basic carbon asset data. Collect certified net carbon emission reductions of urban renewal projects, carbon market data, green finance policy parameters, urban renewal incentive policy provisions, and relevant data on the project's main brand. Standardize the collected data to form a standardized dataset. S2: Construct a four-dimensional carbon asset valuation model that includes commodity value, asset value, option value, and social value. The total value is the weighted sum of the values ​​of each dimension, expressed as: in, Indicates the value of a commodity. Indicates asset value. Indicates the option value. Representing social value, ~ The weights for each value dimension are determined by the analytic hierarchy process (AHP), and ; S3: A combined valuation algorithm using the market comparison method, the present value of income method, and the real option pricing method is adopted to quantify the value of commodities, assets, options, and social value respectively. Furthermore, a quantitative conversion mechanism for carbon value and urban renewal incentive policies will be established, transforming floor area ratio bonuses and tax reductions into economic value per unit of carbon emission reduction, thus forming a policy incentive-carbon value conversion coefficient library. S4: Construct a dynamic adjustment model for carbon asset value based on dynamic carbon prices and policy adjustments to dynamically adjust the total value of carbon assets, expressed as: in, This represents the revised total value of carbon assets. , The correction factor is determined based on the project type and policy type. For the fluctuation range of carbon prices, The fluctuation range of policy incentive value; S5: Outputs the value quantification results of each dimension, the total value of carbon assets, the proportion of value composition, and the dynamic correction curve, generating a standardized carbon asset valuation report.

2. The method for assessing the value of carbon assets in urban renewal as described in claim 1, characterized in that, In step S2, the value of the goods is: in, To verify net carbon emission reductions, For carbon market spot trading prices, Carbon trading fee rates; Asset value: Where L is the carbon asset collateral ratio. Let T be the annual interest rate difference between green loans and conventional loans, and T be the financing term. Option value is calculated using the Black-Scholes model: in, Let K be the current market value of the carbon asset, K be the unit emission reduction cost under future carbon constraints, r be the risk-free interest rate, and t be the option term. This represents the annual volatility of carbon prices. This is the cumulative probability function of the standard normal distribution; Social value: in, Quantify unit price to incentivize policy. The implicit economic value brought about by brand enhancement.

3. The method for assessing the value of carbon assets in urban renewal as described in claim 1, characterized in that, In step S3, the precise quantification of value in each dimension includes: Commodity value quantification: Using the market comparison method, carbon trading cases of urban renewal projects of the same region and type are selected for comparison, carbon market trading prices are adjusted, and commodity value is calculated in combination with formula; Quantification of asset value and policy-related social value: Using the present value of income method, the interest savings from financial financing and the future benefits of policy incentives are discounted to the valuation date at the risk-free rate to calculate the corresponding value; Option value quantification: The real option pricing method is adopted, and the option value is calculated based on the historical volatility of carbon prices, the prediction of future emission reduction costs, and the Black-Scholes model. Quantifying the social value of brand enhancement: Using a combination of expert scoring and market research, industry experts and market analysts are selected to score the brand value enhancement brought by carbon assets, and the brand value is determined in conjunction with the revenue scale of the project entity.

4. The urban renewal carbon asset valuation method as described in claim 3, characterized in that, The conversion algorithm between policy incentives and carbon value in step S3 is as follows: Floor area ratio bonus conversion: in, S represents the increase in plot ratio, and S represents the land area of ​​the plot. The land price per unit floor area; Tax reduction and exemption conversion: in, Let be the tax relief amount in year t, r be the discount rate, and T be the tax relief period; Conversion of composite policy incentives: in, Let k be the quantified unit price of the policy term. As a policy weight.

5. The method for assessing the value of carbon assets in urban renewal as described in claim 1, characterized in that, In step S4, the correction coefficients α and β are determined according to the project type and policy type, and their values ​​range from 0.5 to 1.

2.

6. A carbon asset valuation system for urban renewal, characterized in that, The method described in any one of claims 1 to 5 is used to assess the value of carbon assets in urban renewal. The urban renewal carbon asset valuation system includes: a data layer, a module layer, and an application layer. The data layer includes: carbon accounting database, carbon market database, policy parameter database, financial institution database, and brand research database; The module layer includes: a data collection and standardization module, a multi-dimensional value assessment module, a policy-value conversion module, a dynamic correction module, and a results output and visualization module; The application layer includes: user interface, report generation interface, visualization interface, and data export interface, and supports permission division.

7. The urban renewal carbon asset valuation system as described in claim 6, characterized in that, The data acquisition and standardization module is equipped with multi-source data interfaces, supporting integration with carbon accounting systems, carbon trading platforms, and government policy platforms, and has built-in data cleaning, verification, and standardization units. The multi-dimensional value assessment module is the core computing engine, which includes a four-dimensional value assessment model, a weight calculation unit of the analytic hierarchy process, and a combined assessment algorithm of market comparison method / present value of income method / real option pricing method. The policy-value conversion module has a built-in library of policy incentive quantitative conversion coefficients, which supports automatic parsing of policy provisions and extraction of key parameters. The dynamic correction module has a built-in real-time data docking unit and a value correction model calculation unit to realize the dynamic correction of carbon asset value. The results output and visualization module supports the generation of standardized evaluation reports, multi-format visualization, and data export.

8. The urban renewal carbon asset valuation system as described in claim 6, characterized in that, The system's hardware can be a server, a terminal computer, or a mobile terminal, and it supports both cloud and local deployment.

9. The urban renewal carbon asset valuation system as described in claim 6, characterized in that... The coefficient library within the policy-value conversion module is a dynamically updated library, capable of adjusting and updating the conversion formula and calibration coefficients in real time according to local urban renewal policies; The dynamic correction module can be customized to set the time frequency of real-time data docking, and supports data updates at the daily / monthly / yearly level. The results output and visualization module supports bar charts, pie charts, line charts, and radar charts, and supports interactive operation.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the urban renewal carbon asset valuation method according to any one of claims 1-5.

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