Enterprise carbon reduction achievement evaluation method and system and storage medium
By collecting and normalizing the carbon emission-related data of enterprises and substituting them into the evaluation model, the problem that existing technology cannot comprehensively and accurately evaluate the economic benefits and policy benefits of enterprises reducing carbon emissions is solved, and a comprehensive and accurate evaluation of enterprises' carbon reduction results and driving emission reduction decisions are achieved.
Patent Information
- Application Number
- CN202411658964.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2025-03-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
It is difficult for existing technology to comprehensively and accurately evaluate the economic benefits and policy-oriented benefits brought by enterprises by reducing carbon emissions, and it is unable to effectively drive corporate emission reduction behavior and decision-making.
By collecting relevant data on carbon emissions from enterprises, confirm the carbon reduction effect, carbon emission intensity, product market response and carbon returns, and normalize these indicators and substitute them into the evaluation model to obtain the total score and evaluation results of the enterprise's carbon reduction results.
It has achieved a comprehensive and accurate evaluation of the results of enterprises' carbon reduction, taken into account multi-dimensional economic benefits and policy benefits, provided more objective evaluation results, and helped enterprises make more effective emission reduction decisions.
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Abstract
Description
Technical Field
[0001] The present invention relates to carbon reduction achievement evaluation, and in particular to a carbon reduction achievement evaluation method, system and storage medium for an enterprise. Background Art
[0002] In the process of carbon asset management and deep participation in carbon trading, enterprises need to accurately and reasonably calculate their carbon assets and their values. The existing carbon asset accounting and carbon reduction benefit assessment methods are basically based on one dimension of the carbon market, that is, they only consider the assets formed by enterprises trading quotas in the carbon market based on their own carbon emissions and carbon quotas, and offsetting carbon emission quotas through voluntary emission reductions certified by the state. There is a lack of evaluation of the economic benefits of low-carbon products produced by enterprises implementing carbon emission reduction or low-carbon technologies developed in the physical market, and the policy benefits obtained by enterprises implementing carbon emission reduction. It is impossible to directly and comprehensively reflect and predict the value of reducing carbon emissions for corporate development, which is not conducive to driving and making effective decisions on corporate emission reduction behaviors. Summary of the invention
[0003] Purpose of the invention: The purpose of the present invention is to provide a method, system and storage medium for evaluating the carbon reduction results of an enterprise, which can comprehensively and accurately evaluate the benefits brought by carbon reduction to the enterprise.
[0004] Technical solution: To achieve the above purpose, the carbon reduction achievement evaluation method of an enterprise described in the present invention comprises the following steps:
[0005] S1. Collect the carbon emission data of the enterprise in the current year and previous years;
[0006] S2. Confirm the enterprise's evaluation parameters for the current year based on relevant data. The evaluation parameters include carbon reduction effect, carbon emission intensity, product market response and carbon benefits;
[0007] S3. The carbon reduction effect, carbon emission intensity and carbon benefit obtained in step S2 are normalized and substituted into the evaluation model together with the product market response to obtain the total score of the enterprise's carbon reduction results and give the corresponding evaluation results according to the set segments.
[0008] Based on the above technical solution, the carbon reduction effect, carbon emission intensity, product market response and carbon benefits of the enterprise in the current year are confirmed through the carbon emission related data of the enterprise in the current year and previous years, which is equivalent to confirming the indicators of four dimensions to evaluate the carbon reduction results of the enterprise, which is more comprehensive and accurate. Normalizing the carbon reduction effect, carbon emission intensity and carbon benefits can avoid the excessive impact of a certain indicator on the total score, making the total score unable to effectively reflect the carbon reduction results of the enterprise. The product market response is a value between 0-1, so there is no need to perform normalization. The normalized indicator value and the product market response are substituted into the evaluation model to obtain the total score, and then the evaluation of the enterprise's carbon reduction results can be obtained according to the set segmentation. This method not only takes into account the direct results brought about by the enterprise's carbon reduction, but also takes into account the additional benefits brought about by the carbon reduction process due to factors such as technology, product competitiveness after carbon reduction and policies. The evaluation is more comprehensive, objective and accurate.
[0009] Preferably, the ranking of the enterprise compared with other enterprises under multiple indicator dimensions includes the following process:
[0010] (1) Determine the best value of each indicator in all enterprises to form an ideal indicator combination;
[0011] (2) Calculate the degree of identity between each indicator of each enterprise and the corresponding indicator in the ideal indicator combination;
[0012] (3) Weight the degree of identity of all indicators of each enterprise to obtain the total degree of identity, and rank the enterprises according to the total degree of identity.
[0013] Ranking multiple companies on multiple indicator dimensions through set pair analysis is an evaluation of corporate products under comprehensive considerations, which can more comprehensively and accurately reflect the actual performance of products in the market.
[0014] The carbon reduction achievement evaluation system of an enterprise according to the present invention comprises:
[0015] Data collection module: used to collect carbon emission data of the enterprise in the current year and previous years;
[0016] Index calculation module: used to confirm the enterprise's evaluation parameters for the year based on relevant data. The evaluation parameters include carbon reduction effect, carbon emission intensity, product market response and carbon benefits;
[0017] Evaluation module: It is used to normalize the carbon reduction effect, carbon emission intensity and carbon benefit obtained in the indicator calculation module and substitute them into the evaluation model together with the product market response, so as to obtain the total score of the enterprise's carbon reduction results and give the corresponding evaluation results according to the set segments.
[0018] The computer-readable storage medium storing one or more programs of the present invention is characterized in that: it includes one or more programs including instructions, and when the instructions are executed by a computing device, the computing device executes any one of the above methods.
[0019] Beneficial effects: The present invention has the following advantages: by collecting carbon emission related data, the carbon reduction effect, carbon emission intensity, product market response and carbon income of the enterprise in the current year are confirmed, and the indicators other than the product market response are normalized and then entered into the evaluation model to obtain the total score of the enterprise's carbon reduction, and then the evaluation results are given according to the set segments, which comprehensively considers the effects of the enterprise's carbon reduction in multiple dimensions, and the evaluation is more comprehensive and accurate. DETAILED DESCRIPTION
[0020] The technical solution of the present invention is described in detail below in conjunction with embodiments.
[0021] The carbon reduction achievement evaluation method of an enterprise described in the present invention comprises the following steps:
[0022] S1. Collect the carbon emission data of the enterprise in the current year and previous years;
[0023] S2. Confirm the enterprise's evaluation parameters for the current year based on relevant data. The evaluation parameters include carbon reduction effect, carbon emission intensity, product market response and carbon benefits;
[0024] The carbon reduction effect can evaluate the efficiency of an enterprise's cost in reducing carbon emissions. The higher the carbon reduction effect value, the more effective the carbon reduction measures currently taken by the enterprise are. When this value is too low, it means that the enterprise's carbon reduction initiatives are very expensive but have not achieved corresponding results, and the carbon reduction measures should be improved.
[0025] The calculation formula for carbon reduction effect is:
[0026]
[0027] M=AB
[0028] Among them, Y is the carbon reduction effect of the enterprise; M is the carbon reduction amount in the current year; A is the carbon emissions generated by the enterprise last year; B is the carbon emissions generated by the enterprise this year; C is the cost of carbon reduction of the enterprise this year.
[0029] Assess the carbon emission intensity of an enterprise to evaluate whether the enterprise's production method is reasonable; carbon emission intensity can evaluate whether the enterprise's current production method is reasonable. When the carbon emission intensity value is very high, it means that the enterprise produces too much carbon emissions for a certain output of products, and the production method should be improved.
[0030] The calculation formula for corporate carbon emission intensity is:
[0031]
[0032] Among them, X is the carbon emission intensity of the enterprise this year; B is the carbon emissions of the enterprise this year; T is the total output of the enterprise's products this year.
[0033] The product market response compares the product market situation of the main competing companies in the market to evaluate the market share of the products in this year. If the market share lags far behind other competing companies, it means that the products produced by the current production model will affect the sales of the products, and the current carbon reduction measures should be adjusted.
[0034] The product market response is calculated based on the comprehensive ranking of the enterprise compared with other enterprises in multiple indicator dimensions. The ranking is calculated by set pair analysis, which includes the following process:
[0035] First, the values of multiple indicators of multiple enterprises are constructed into the following decision matrix F
[0036]
[0037] Among them, f ij is the value of the jth indicator of the ith enterprise;
[0038] The optimal value of each indicator is constructed as an ideal multi-indicator combination matrix, specifically:
[0039]
[0040] Among them, F0 is the ideal multi-index combination matrix, is the best value of the jth indicator among all enterprises;
[0041] Then, the degree of identity between each indicator of each enterprise and the corresponding indicator in the ideal indicator combination is calculated;
[0042] The formula for calculating the degree of identity is:
[0043]
[0044] Among them, q ij The identity of the jth indicator of the i-th enterprise is constructed as the identity matrix Q by combining the identity of all indicators of all enterprises. Specifically,
[0045]
[0046] Finally, the degree of identity of all indicators of each enterprise is weighted to obtain the total degree of identity, and the enterprises are ranked according to the total degree of identity. The specific formula for calculating the total degree of identity is:
[0047]
[0048] Among them, αi is the total identity of the ith enterprise, ω j is the weight of the jth indicator, and n is the total number of indicators.
[0049] After obtaining the company ranking, the product market response can be calculated according to the following formula:
[0050]
[0051] Among them, λ is the product market response, n c is the total number of companies participating in the ranking, n R For the ranking of this enterprise.
[0052] Carbon benefits include carbon quota market transaction benefits, product market benefits, policy preferential benefits and technology benefits;
[0053] The income from carbon quota trading is the income generated by trading the surplus carbon quotas allocated to enterprises in the carbon quota trading market after the enterprises implement carbon reduction plans to reduce carbon emissions.
[0054] The calculation formula for carbon quota market trading income is:
[0055] S=M×K
[0056] Among them, S is the carbon quota market transaction income, k is the current carbon quota transaction unit price;
[0057] The revenue from the product market comes from the fact that when the products produced after the company implements the carbon reduction plan receive good market response, the company can gain benefits by increasing sales profits through increasing market prices or sales volume, compared with non-low-carbon products before carbon reduction.
[0058] The formula for calculating product market returns is:
[0059] H=W×(PV)-N
[0060] Among them, H is the market revenue of the product, W is the sales volume of the product this year; P is the unit price of the product; V is the unit cost of the product; N is the revenue from the sale of the product last year;
[0061] Policy preferential benefits are the benefits brought to enterprises based on the policies promulgated by the government to encourage enterprises to participate in carbon reduction and emission reduction. They include three parts of benefits: direct economic subsidies, loan preferences and tax exemptions. This part of the benefits will change with the changes in the specific policies of the government where the enterprise is located at that time.
[0062] The calculation formula for policy preferential benefits is:
[0063] E=G+R+L
[0064] Among them, E is the policy preferential benefit, G is all economic subsidies directly issued by the government to reward enterprises for carbon reduction; R is the tax exemption and reduction provided by the government to low-carbon enterprises through policies; L is the loan interest exempted by the government through policies for low-carbon enterprises.
[0065] The formula for calculating economic subsidies is:
[0066] G=G1+G2+…+Gm0
[0067] Among them, Gm0 is the direct economic subsidy from the government obtained by the enterprise through the m0th method, such as: the enterprise obtains direct economic subsidy G1 by reducing carbon emissions and being certified as a low-carbon enterprise, the enterprise obtains direct economic subsidy G2 by producing certified low-carbon products, and so on.
[0068] The tax reduction calculation formula is:
[0069] R=(S+H)×r
[0070] Among them, r is the tax reduction ratio.
[0071] The calculation formula for the loan interest reduction is:
[0072] L=D×e
[0073] Among them, D is the enterprise's loan this year, and e is the percentage of interest rate reduction.
[0074] Technological benefits refer to the income obtained by an enterprise from patenting the technology it has invested in research and development for carbon reduction, licensing its use or protecting its rights, or the economic benefits brought to the enterprise through technology transfer.
[0075] The calculation formula of technology benefits is:
[0076] Tec=U+I
[0077] Among them, Tec is the technology income, U is the income from the carbon reduction technology patent, and I is the income from the transfer of carbon reduction technology;
[0078] The formula for calculating the benefits of carbon reduction technology patents is:
[0079] U=U1+U2+…+Um1
[0080] Among them, Um1 is the income obtained through the m1th patent belonging to the enterprise, such as: the enterprise independently developed a new production process that can significantly reduce carbon emissions and applied for patent 1, and the income obtained after licensing or protecting rights is U1; the enterprise discovered that the new product formula can significantly reduce carbon emissions and applied for patent 2, and the income obtained after licensing or protecting rights is U2.
[0081] Profits from enterprise technology transfer I:
[0082] I=I1+I2+…+Im2
[0083] Among them, Im2 is the income obtained by the enterprise from transferring the m2th carbon reduction technology.
[0084] The formula for calculating the carbon benefits of an enterprise is:
[0085] Z=S+H+E+Tec-C
[0086] Among them, Z is the carbon income of the enterprise.
[0087] S3. The carbon reduction effect, carbon emission intensity and carbon benefit obtained in step S2 are normalized and substituted into the evaluation model together with the product market response to obtain the total score of the enterprise's carbon reduction results and give the corresponding evaluation results according to the set segments.
[0088] The formula for normalizing carbon reduction effect and carbon benefit is:
[0089]
[0090] Among them, δ i ' is the normalized value of the i-th evaluation parameter, δ i is the original value of the i-th evaluation parameter, δ imax and δ imin are the minimum and maximum values of the evaluation parameter in the enterprise's historical data; the evaluation parameter mentioned here is only the carbon reduction effect or carbon benefit, such as δ' Y It is the normalized value of carbon reduction effect, δ' Z It is the normalized value of carbon benefits.
[0091] The formula for standardizing carbon emission intensity is:
[0092]
[0093] Among them, X' is the value of carbon emission intensity after normalization, X max and X min They are the minimum and maximum values of carbon emission intensity in the company’s historical data;
[0094] The evaluation model is
[0095] β=ω X X'+ω Y δ' Y +ω λ λ+ω z δ' Z
[0096] Among them, β is the total score of the enterprise’s carbon reduction achievements, ω X ,ωY ,ω λ and ω Z They are the weight values of carbon emission intensity, carbon reduction effect, product market response and carbon benefit respectively; each weight value can be set according to experience; the set segments can also be set according to experience, each segment corresponds to an evaluation result, and the total score falling into a certain segment corresponds to the evaluation result of that segment.
[0097] The carbon reduction achievement evaluation system of an enterprise according to the present invention comprises:
[0098] Data collection module: used to collect carbon emission data of the enterprise in the current year and previous years;
[0099] Indicator calculation module: used to confirm the carbon reduction effect, carbon emission intensity, product market response and carbon benefits of the enterprise in the current year based on relevant data;
[0100] Evaluation module: It is used to normalize the carbon reduction effect, carbon emission intensity and carbon benefit obtained in the indicator calculation module and substitute them into the evaluation model together with the product market response, so as to obtain the total score of the enterprise's carbon reduction results and give the corresponding evaluation results according to the set segments.
[0101] The computer-readable storage medium storing one or more programs described in the present invention includes one or more programs including instructions, and when the instructions are executed by a computing device, the computing device executes any one of the above methods.
[0102] In order to better illustrate this method, a specific example is given below.
[0103] A medium-sized cement company A with an annual output of 1 million tons produced 634,000 tons of carbon emissions last year. This year (2024), it invested 3.2 million yuan to implement a carbon reduction plan to improve production, reducing carbon emissions to 500,000 tons without changing production. In addition, the company applied for a patent for the new product formula for reducing carbon emissions that it developed this year. This year, it made a profit of 200,000 yuan through the patent, and also obtained a technology transfer fee of 400,000 yuan by transferring the company's low-carbon production process technology. The significant carbon reduction results have won the government's green enterprise subsidy of 250,000 yuan, and the company has also been given a 3% tax exemption and a 2.8% reduction in the annual loan interest rate. Last year, the cement plant sold products for a profit of 32.5 million yuan. This year, the cement produced after the improved production has a production cost of 295 yuan / ton and a selling price of 330 yuan / ton. In addition, because the cement produced by the new process this year has received good market feedback, all 1 million tons of cement produced have been sold. The company has a loan amount of 5 million yuan this year, and according to the product market research, the following data of the company's main competitors are statistically analyzed:
[0104] Our Factory Factory A Factory B Factory C Product sales (10,000 tons) 100 105 95 97 Customer repurchase rate (%) 47 55 60 35 Market price (yuan / ton) 580 450 550 560
[0105] The main data of the enterprise in the records over the years are shown in the following table:
[0106] Year / Year 2019 2020 2021 2022 2023 Carbon reduction effect Y (10,000 tons / 10,000 yuan) 0.0127 0.0152 0.02138 0.03272 0.03921 Carbon emission intensity X 1.4 1.25 0.9 0.65 0.4 Carbon income Z (10,000 yuan) 101.5 76.23 205.2 567.21 402.15
[0107] 1. Evaluation parameter calculation
[0108] 1. Carbon reduction effect assessment:
[0109]
[0110] This shows that for every RMB 10,000 invested by an enterprise, 418.75 tons of carbon emissions can be reduced. The carbon reduction effect of the previous cycle can be compared to infer whether the implementation of carbon reduction measures in this cycle is in line with expectations.
[0111] 2. Carbon emission intensity assessment:
[0112]
[0113] This means that for every ton of product produced, the company will generate 0.5 tons of carbon emissions. By comparing the carbon emission intensity of the previous cycle, we can infer whether the carbon reduction of the emission reduction measures implemented in this cycle is in line with expectations.
[0114] 3. Product market response evaluation:
[0115] Our Factory Factory A Factory B Factory C Product sales (10,000 tons) 100 105 95 97 Customer repurchase rate (%) 47 55 60 35 Market price (yuan / ton) 580 450 550 560
[0116] According to this table, the decision matrix F can be constructed:
[0117]
[0118] Ideal multi-index combination matrix:
[0119] F0 = [105 60 580] T
[0120] The identity matrix Q can be obtained from the decision matrix and the ideal multi-index combination matrix:
[0121]
[0122] The weight matrix of the three indicators is
[0123] ω=[0.4 0.25 0.35] T
[0124] The weighted identity matrix t is calculated by the following formula:
[0125] t=ω·Q=[0.9268 0.9007 0.9438 0.8533]
[0126] According to the weighted identity matrix t, the market response of this year's products is:
[0127] Cement Plant B> This Cement Plant> Cement Plant A> Cement Plant C
[0128] That is, the company ranking this year is 2, and its product market response is
[0129]
[0130] 4. Carbon benefit assessment of enterprises:
[0131] 4.1. Income S from carbon quota trading:
[0132] The carbon quota trading price k is 30 yuan / ton. Then the income S of carbon quota trading is:
[0133] S = M × k = (634,000 tons - 500,000 tons) × 30 yuan / ton = 4.02 million yuan
[0134] 4.2. Benefits from product market H:
[0135] H = W × (PV) - N = 100 × (330-295) - 3250 = 2.5 million yuan
[0136] 4.3. Benefits from preferential policies E:
[0137] Direct economic subsidiesG:
[0138] G = 250,000 yuan
[0139] Tax deductions:
[0140] R = (S + H) × r = (402 + 3500) × 0.03 = 1.1706 million yuan
[0141] (3) Loan interest rate discount:
[0142] L = D × e = 500 × 0.028 = 140,000 yuan
[0143] E=G+R+L=250,000 yuan+1,170,600 yuan+140,000 yuan=1,560,600 yuan
[0144] 4.4.Technology benefits Tec:
[0145] Income from carbon reduction technology patents:
[0146] U=200,000 yuan
[0147] Profits from enterprise technology transfer I:
[0148] I = 400,000 yuan
[0149] Carbon benefits of the enterprise: Z
[0150] Z=S+H+E+Tec-C=S+H+E+U+IC=402+250+156.06+20+40-320=5.4806 million yuan
[0151] II. Evaluating the Company’s Carbon Reduction Achievements
[0152] Normalize carbon reduction effects, carbon emission intensity and carbon benefits
[0153] Normalization of carbon reduction effect
[0154]
[0155] Because we need to consider the data of the current year, and the carbon reduction effect of the current year is the maximum among all the data, so δ Ymax and δ Y The values are the same.
[0156] Normalized carbon emission intensity
[0157]
[0158] Carbon benefits normalization
[0159]
[0160] Substitute it into the evaluation model together with the product market response, and the weight ω in the evaluation model X ,ω Y ,ω λ and ω Z The values are 0.25, 0.25, 0.15 and 0.35 respectively, and the total score of the enterprise's carbon reduction can be obtained.
[0161] β=ω X X'+ω Y δ' Y +ω λ λ+ω z δ' Z =0.25×0.9+0.25×1+0.15×0.5+0.35×0.961=0.886
[0162] The set segments and the evaluation results corresponding to each segment are as follows
[0163] β Corporate Carbon Reduction Performance Rating [0.8,1] excellent [0.55,0.8) good [0.25,0.55) middle [0,0.25) Difference
[0164] The total score of this enterprise falls within the segment [0.8,1], so the carbon reduction performance of this enterprise this year is evaluated as excellent.
Claims
1. A method for evaluating carbon reduction performance of an enterprise, characterized in that: The following steps are involved: S1. Collect the carbon emission data of the enterprise in the current year and previous years; S2. Confirm the enterprise's evaluation parameters for the current year based on relevant data. The evaluation parameters include carbon reduction effect, carbon emission intensity, product market response and carbon benefits; S3. The carbon reduction effect, carbon emission intensity and carbon benefit obtained in step S2 are normalized and substituted into the evaluation model together with the product market response to obtain the total score of the enterprise's carbon reduction results and give the corresponding evaluation results according to the set segments.
2. The method for evaluating carbon reduction performance of an enterprise according to claim 1, characterized in that: The carbon reduction effect calculation formula in step S2 is: M=AB Among them, Y is the carbon reduction effect; M is the carbon reduction amount of the year; A is the carbon emissions generated by the enterprise last year; B is the carbon emissions generated by the enterprise this year; C is the cost of carbon reduction for the enterprise this year; The formula for calculating carbon emission intensity is: Among them, X is the carbon emission intensity; B is the carbon emissions of the enterprise this year; and T is the total output of the enterprise's products this year.
3. The method for evaluating carbon reduction performance of an enterprise according to claim 1, characterized in that: The product market response in step S2 is calculated based on the ranking of the enterprise compared with other enterprises under multiple indicator dimensions. The specific calculation formula is: Among them, λ is the product market response, n c is the total number of companies participating in the ranking, n R For the ranking of this enterprise.
4. The method for evaluating carbon reduction performance of an enterprise according to claim 3, characterized in that: The determination of the ranking of the enterprise in question compared to other enterprises in multiple indicator dimensions includes the following process: (1) Determine the best value of each indicator among all enterprises to form an ideal indicator combination; (2) Calculate the degree of identity between each indicator of each enterprise and the corresponding indicator in the ideal indicator combination; (3) Weight the degree of identity of all indicators of each enterprise to obtain the total degree of identity, and rank the enterprises according to the total degree of identity.
5. The method for evaluating carbon reduction performance of an enterprise according to claim 4, characterized in that: The formula for calculating the identity in (2) is: Among them, q ij is the identity of the jth indicator of the i-th enterprise, f ij is the value of the jth indicator of the ith enterprise, is the best value of the jth indicator among all enterprises. The total identity calculation formula in (3) is: Among them, α i is the total identity of the ith enterprise, ω j is the weight of the jth indicator, and n is the total number of indicators.
6. The method for evaluating carbon reduction performance of an enterprise according to claim 1, characterized in that: The carbon benefits in step S2 include carbon quota market transaction benefits, product market benefits, policy preferential benefits and technical benefits; The calculation formula for carbon quota market trading income is: S=M×K Among them, S is the carbon quota market transaction income, k is the current carbon quota transaction unit price; The formula for calculating product market returns is: H=W×(PV)-N Among them, H is the market revenue of the product, W is the sales volume of the product this year; P is the unit price of the product; V is the unit cost of the product; N is the revenue from the sale of the product last year; The calculation formula for policy preferential benefits is: E=G+R+L Among them, E is the policy preferential benefits, G is the economic subsidy; R is the tax reduction; L is the loan interest reduction; The calculation formula of technology benefits is: Tec=U+I Among them, Tec is the technology income, U is the income from the carbon reduction technology patent, and I is the income from the transfer of carbon reduction technology; The calculation formula for carbon benefits is: Z=S+H+E+Tec-C Among them, Z is the carbon income of the enterprise.
7. The method for evaluating carbon reduction performance of an enterprise according to claim 6, characterized in that: The tax calculation formula for the above reduction is: R=(S+H)×r Among them, r is the tax reduction ratio; The calculation formula for the loan interest reduction is: L=D×e Among them, D is the enterprise's loan this year, and e is the percentage of interest rate reduction.
8. The method for evaluating carbon reduction performance of an enterprise according to claim 1, characterized in that: The formula for normalizing the carbon reduction effect and carbon benefit in step S3 is: Among them, δ i ' is the normalized value of the i-th evaluation parameter, δ i is the original value of the i-th evaluation parameter, δ imax and δ imin are the minimum and maximum values of the evaluation parameter in the enterprise’s historical data respectively; The formula for standardizing carbon emission intensity is: Among them, X' is the value of carbon emission intensity after normalization, X max and X min They are the minimum and maximum values of carbon emission intensity in the company’s historical data; The evaluation model is β=ω X X'+ω Y d' Y +oh λ l+w z d' Z Among them, β is the total score of the enterprise’s carbon reduction achievements, ω X ,ω Y ,ω λ and ω Z They are the weight values of carbon emission intensity, carbon reduction effect, product market response and carbon benefits respectively.
9. An enterprise carbon reduction performance evaluation system, characterized in that: The system comprises: Data collection module: used to collect carbon emission data of the enterprise in the current year and previous years; Index calculation module: used to confirm the enterprise's evaluation parameters for the year based on relevant data. The evaluation parameters include carbon reduction effect, carbon emission intensity, product market response and carbon benefits; Evaluation module: It is used to normalize the carbon reduction effect, carbon emission intensity and carbon benefit obtained in the indicator calculation module and substitute them into the evaluation model together with the product market response, so as to obtain the total score of the enterprise's carbon reduction results and give the corresponding evaluation results according to the set segments.
10. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions which, when executed by a computing device, cause the computing device to perform any one of the methods according to claims 1 to 8.
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