Multi-energy subject carbon credit evaluation method

Abstract

The invention discloses a multi-energy subject carbon credit evaluation method, which comprises the following steps: S1, selecting three dimensions of energy subject carbon credit evaluation from a carbon credit definition; s2, further refining a subdivision evaluation index of each dimension based on three dimensions of selected energy main body carbon credit evaluation, and constructing a carbon credit evaluation system; s3, selecting evaluation indexes of carbon credit investigation from three dimensions of honesty degree, compliance degree and trampling degree; s4, performing dimensionless processing on the evaluation indexes, determining index weights through an entropy evaluation method, and constructing a carbon credit evaluation model; and S5, entropy values and weights of the indexes are calculated, and a comprehensive evaluation value of enterprise carbon credit investigation is obtained. The method solves the problem that an existing energy subject carbon credit evaluation method is lack of multi-angle selection of evaluation indexes from the actual operation condition of an enterprise.

Description

Technical Field

[0001] The present invention belongs to the field of corporate carbon emission credit evaluation methods, and specifically, relates to a multi-energy subject carbon credit evaluation method. Background Art

[0002] With the in-depth implementation of carbon emission reduction policies and the increasing maturity of the carbon emission rights trading market, it has become an inevitable trend for enterprises to widely participate in carbon trading. The carbon emission status and carbon emission reduction technology level will have a profound impact on the carbon credit evaluation of enterprises. Therefore, the use of scientific and reasonable carbon credit evaluation methods has far-reaching significance for improving corporate reputation, enhancing corporate comprehensive competitiveness, and helping corporate carbon information users build confidence and make scientific and reasonable decisions.

[0003] In a Chinese public patent with application number CN202310641997.8, a corporate carbon credit evaluation method is disclosed, including: obtaining original corporate data of the enterprise to be evaluated; preprocessing the original corporate data to obtain corporate characteristic data, and establishing multiple three-level indicator feature sets based on pre-established three-level indicator labels and corporate characteristic data; inputting multiple three-level indicator feature sets into a pre-built cost-sensitive support vector machine model, and outputting the three-level indicator benign probabilities corresponding to the multiple three-level indicator feature sets; when the three-level indicator benign probability of the three-level indicator feature set is greater than a preset threshold, the indicator credit score of the three-level indicator feature set is recorded as 1, otherwise it is recorded as 0; determining the credit score of the enterprise to be evaluated based on the indicator credit scores of the multiple three-level indicator feature sets; and determining the credit level of the enterprise to be evaluated based on the credit score.

[0004] The defect of the existing patent is that although the above patent realizes determining the credit score of the enterprise to be evaluated based on the indicator credit scores of multiple three-level indicator feature sets, and determining the credit level of the enterprise to be evaluated based on the credit score; but the indicator credit scores of multiple three-level indicator feature sets are not defined by any selection criteria, it is easy to omit evaluation indicators that are useful for evaluating the credit level of the enterprise, and lacks multi-angle selection of evaluation indicators based on the actual operating conditions of the enterprise. Summary of the invention

[0005] In view of the problem that the existing carbon credit evaluation methods of energy entities lack the ability to select evaluation indicators from multiple angles based on the actual operating conditions of the enterprises, the present invention provides a carbon credit evaluation method for multiple energy entities.

[0006] In order to achieve the above technical objectives, the technical solution adopted by the present invention is as follows:

[0007] A carbon credit evaluation method for multiple energy entities, comprising the steps of:

[0008] S1. From the definition of carbon credit, select three dimensions of carbon credit evaluation for energy entities;

[0009] S2. Based on the three dimensions of carbon credit evaluation of energy entities, further refine the subdivided evaluation indicators of each dimension and build a carbon credit evaluation system;

[0010] S3. Select carbon credit evaluation indicators from three dimensions: integrity, compliance and fulfillment;

[0011] S4. Dimensionless processing is performed on the evaluation indicators, and the indicator weights are determined by the entropy method to construct a carbon credit evaluation model;

[0012] S5. Calculate the entropy value and weight of each indicator to obtain the comprehensive evaluation value of the enterprise's carbon credit.

[0013] Furthermore, the three dimensions of carbon credit evaluation of energy entities include the company’s own emission reduction willingness, emission reduction capacity and emission reduction behavior.

[0014] Furthermore, the construction of a carbon credit evaluation system includes the correspondence between the enterprise's own emission reduction willingness and integrity, the enterprise's own emission reduction behavior and compliance, and the enterprise's own emission reduction capacity and compliance;

[0015] Integrity is further broken down into carbon reduction strategy, carbon reduction management, and carbon reduction investment;

[0016] Compliance is further broken down into comprehensive scores, carbon market compliance, carbon bond compliance and environmental administrative penalties;

[0017] The degree of compliance is further broken down into risk response, R&D output, energy structure adjustment, production process improvement, emission reduction effect evaluation and comprehensive financial strength.

[0018] Furthermore, carbon credit evaluation indicators are selected: the company's willingness and ability to fulfill its obligations are evaluated from the perspective of corporate carbon emission reduction. According to the constructed corporate carbon credit evaluation system, combined with the carbon emission reduction paths and risk analysis of different companies, and based on the principles of indicator selection, carbon credit evaluation indicators are selected from the three dimensions of integrity, compliance and fulfillment.

[0019] Furthermore, a carbon credit evaluation model is constructed to process the indicators dimensionlessly:

[0020] In the corporate carbon credit evaluation index system, the indicators have different magnitudes, including positive indicators and negative indicators, so as to better conduct comprehensive evaluation.

[0021] The specific formula for dimensionless processing of positive indicators is as follows:

[0022]

[0023] The specific formula for dimensionless processing of the reverse indicator is as follows:

[0024]

[0025] In the formula, i represents the i-th enterprise, and j represents the j-th evaluation index. ij is the index value after dimensionless processing, X ij is the initial value of the first indicator, X jmin is the minimum value of the jth index, X jmax is the maximum value among the j-th indicators;

[0026] Furthermore, the detailed steps for determining the indicator weights by entropy method are as follows:

[0027] S401. Calculate the weight coefficient of the i-th enterprise in the j-th evaluation index. The specific formula is as follows:

[0028]

[0029] In the formula, represents the sum of dimensionless values ​​of the jth indicator of each enterprise, where n is the number of enterprises;

[0030] S402. Calculate the entropy value of each indicator. The specific formula is as follows:

[0031]

[0032] In the formula, to ensure that P ij >0, then it is necessary to translate the 0 value and adjust it by P' ij =P ij +0.0001, and then calculate the entropy value;

[0033] S403, calculate the information entropy redundancy, the specific formula is as follows:

[0034] D j =1-E j

[0035] Where D j represents the information entropy redundancy, that is, the difference coefficient; the entropy value E of the previous step j Inversely proportional to the information content, in order to better observe the meaning of the data, 1 minus the entropy value E is selected j .

[0036] S404. Calculate the weight of each indicator. The specific formula is as follows:

[0037]

[0038] Where W j represents the weight of the jth indicator, D j represents the information entropy redundancy, It is the sum of the information entropy redundancy of all indicators.

[0039] S405: Calculate the score value. The specific formula is as follows:

[0040]

[0041] In the formula, based on the standardized index X' ij And the calculated indicator weight W j , use the weighted multilinear function to calculate the comprehensive score Z i .

[0042] Furthermore, the comprehensive evaluation value of corporate carbon credit is:

[0043] An indicator matrix is ​​established based on the evaluation enterprise data, the data is dimensionless, and the entropy value and weight of each indicator are calculated according to the calculation steps of the entropy method;

[0044] By summing up and ranking the weights of the three dimensions, the average level score of each dimension is calculated, and the comprehensive calculation result of the corporate carbon credit is derived based on this.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The multi-energy subject carbon credit evaluation method constructs a carbon credit evaluation system based on three-dimensional information theory, and uses the entropy method to weight various evaluation indicators to achieve a comprehensive evaluation of multiple carbon credit indicators. It provides a platform for enterprises to comprehensively review their carbon management capabilities, which is conducive to improving their ability to save energy and reduce emissions, and helps to build a fair and transparent market competition environment, providing a basis and decision-making reference for the implementation of carbon supervision and the formulation of carbon policies. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is an overall flow chart of a carbon credit evaluation method for multiple energy entities in an embodiment of the present invention;

[0048] Figure 2 This is a structural block diagram of the carbon credit evaluation system in step S2 in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to facilitate the understanding of those skilled in the art, the present invention is further described below in conjunction with embodiments and drawings. The contents mentioned in the implementation modes are not intended to limit the present invention.

[0050] like Figure 1 As shown, this embodiment provides a carbon credit evaluation method for multiple energy entities, including the steps of:

[0051] S1. From the definition of carbon credit, select three dimensions of carbon credit evaluation for energy entities;

[0052] S2. Based on the three dimensions of carbon credit evaluation of energy entities, further refine the subdivided evaluation indicators of each dimension and build a carbon credit evaluation system;

[0053] S3. Select carbon credit evaluation indicators from three dimensions: integrity, compliance and fulfillment;

[0054] S4. Dimensionless processing is performed on the evaluation indicators, and the indicator weights are determined by the entropy method to construct a carbon credit evaluation model;

[0055] S5. Calculate the entropy value and weight of each indicator to obtain the comprehensive evaluation value of the enterprise's carbon credit.

[0056] The three dimensions of carbon credit evaluation for energy entities include the company’s own willingness to reduce emissions, its ability to reduce emissions, and its behavior to reduce emissions.

[0057] like Figure 2 As shown, the construction of a carbon credit evaluation system includes the correspondence between the company's own emission reduction willingness and integrity, the company's own emission reduction behavior and compliance, and the company's own emission reduction ability and compliance;

[0058] Integrity is further broken down into carbon reduction strategy, carbon reduction management, and carbon reduction investment;

[0059] Compliance is further broken down into comprehensive scores (ESG evaluation scores), carbon market compliance (carbon trading market compliance), carbon bond compliance (use and repayment of carbon bonds) and environmental administrative penalties (administrative penalties for environmental issues);

[0060] The degree of compliance is further broken down into risk response, R&D output, energy structure adjustment, production process improvement, emission reduction effect evaluation and comprehensive financial strength.

[0061] Selection of carbon credit evaluation indicators: Evaluate the company's willingness and ability to fulfill its obligations from the perspective of corporate carbon emission reduction. Based on the constructed corporate carbon credit evaluation system, combined with the carbon emission reduction paths and risk analysis of different companies, and based on the principles of indicator selection, select carbon credit evaluation indicators from the three dimensions of integrity, compliance and fulfillment.

[0062] Construct a carbon credit evaluation model to process the indicators dimensionlessly:

[0063] In the corporate carbon credit evaluation index system, the indicators have different magnitudes, including positive indicators and negative indicators, so as to better conduct comprehensive evaluation.

[0064] The specific formula for dimensionless processing of positive indicators is as follows:

[0065]

[0066] The specific formula for dimensionless processing of the reverse indicator is as follows:

[0067]

[0068] In the formula, i represents the i-th enterprise, and j represents the j-th evaluation index. ij is the index value after dimensionless processing, X ij is the initial value of the first indicator, X jmin is the minimum value of the jth index, X jmax is the maximum value among the j-th indicators;

[0069] Detailed steps for determining indicator weights using the entropy method:

[0070] S401. Calculate the weight coefficient of the i-th enterprise in the j-th evaluation index. The specific formula is as follows:

[0071]

[0072] In the formula, represents the sum of dimensionless values ​​of the jth indicator of each enterprise, where n is the number of enterprises;

[0073] S402. Calculate the entropy value of each indicator. The specific formula is as follows:

[0074]

[0075] In the formula, to ensure that P ij >0, then it is necessary to translate the 0 value and adjust it by P' ij =P ij +0.0001, and then calculate the entropy value;

[0076] S403, calculate the information entropy redundancy, the specific formula is as follows:

[0077] D j =1-E j

[0078] Where D j represents the information entropy redundancy, that is, the difference coefficient; the entropy value E of the previous step j Inversely proportional to the information content, in order to better observe the meaning of the data, 1 minus the entropy value E is selected j .

[0079] S404. Calculate the weight of each indicator. The specific formula is as follows:

[0080]

[0081] Where W jrepresents the weight of the jth indicator, D j represents the information entropy redundancy, It is the sum of the information entropy redundancy of all indicators.

[0082] S405: Calculate the score value. The specific formula is as follows:

[0083]

[0084] In the formula, based on the standardized index X' ij And the calculated indicator weight W j , use the weighted multilinear function to calculate the comprehensive score Z i .

[0085] Comprehensive evaluation value of corporate carbon credit:

[0086] An indicator matrix is ​​established based on the evaluation enterprise data, the data is dimensionless, and the entropy value and weight of each indicator are calculated according to the calculation steps of the entropy method;

[0087] By summing up and ranking the weights of the three dimensions, the average level score of each dimension is calculated, and the comprehensive calculation result of the corporate carbon credit is derived based on this.

[0088] Compared with the prior art, the present invention has the following beneficial effects:

[0089] The multi-energy subject carbon credit evaluation method constructs a carbon credit evaluation system based on three-dimensional information theory, and uses the entropy method to weight various evaluation indicators to achieve a comprehensive evaluation of multiple carbon credit indicators. It provides a platform for enterprises to comprehensively review their carbon management capabilities, which is conducive to improving their ability to save energy and reduce emissions, and helps to build a fair and transparent market competition environment, providing a basis and decision-making reference for the implementation of carbon supervision and the formulation of carbon policies.

[0090] The above is a detailed introduction to a multi-energy subject carbon credit evaluation method provided by the present application. The description of the specific embodiment is only used to help understand the method and its core idea of ​​the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A carbon credit evaluation method for multiple energy entities, characterized in that: Includes steps: S1. From the definition of carbon credit, select three dimensions of carbon credit evaluation for energy entities; S2. Based on the three dimensions of carbon credit evaluation of energy entities, further refine the subdivided evaluation indicators of each dimension and build a carbon credit evaluation system; S3. Select carbon credit evaluation indicators from three dimensions: integrity, compliance and fulfillment; S4. Dimensionless processing is performed on the evaluation indicators, and the indicator weights are determined by the entropy method to construct a carbon credit evaluation model; S5. Calculate the entropy value and weight of each indicator to obtain the comprehensive evaluation value of the enterprise's carbon credit.

2. A multi-energy subject carbon credit evaluation method according to claim 1, characterized in that: The three dimensions of carbon credit evaluation for energy entities include the company’s own willingness to reduce emissions, its ability to reduce emissions, and its behavior to reduce emissions.

3. A multi-energy subject carbon credit evaluation method according to claim 2, characterized in that: The construction of a carbon credit evaluation system includes the correspondence between the company's own emission reduction willingness and integrity, the company's own emission reduction behavior and compliance, and the company's own emission reduction capacity and compliance; Integrity is further broken down into carbon reduction strategy, carbon reduction management, and carbon reduction investment; Compliance is further broken down into comprehensive scores, carbon market compliance, carbon bond compliance and environmental administrative penalties; The degree of compliance is further broken down into risk response, R&D output, energy structure adjustment, production process improvement, emission reduction effect evaluation and comprehensive financial strength.

4. A multi-energy subject carbon credit evaluation method according to claim 3, characterized in that: Selection of carbon credit evaluation indicators: Evaluate the company's willingness and ability to fulfill its obligations from the perspective of corporate carbon emission reduction. Based on the constructed corporate carbon credit evaluation system, combined with the carbon emission reduction paths and risk analysis of different companies, and based on the principles of indicator selection, select carbon credit evaluation indicators from the three dimensions of integrity, compliance and fulfillment.

5. A multi-energy subject carbon credit evaluation method according to claim 4, characterized in that: Construct a carbon credit evaluation model to process the indicators dimensionlessly: In the corporate carbon credit evaluation index system, the index levels vary, including positive and negative indicators, so as to better conduct comprehensive evaluation; The specific formula for dimensionless processing of positive indicators is as follows: The specific formula for dimensionless processing of the reverse indicator is as follows: In the formula, i represents the i-th enterprise, and j represents the j-th evaluation index. ij is the index value after dimensionless processing, X ij is the initial value of the first indicator, X jmin is the minimum value of the jth index, X jmax is the maximum value among the j-th indicators.

6. A multi-energy subject carbon credit evaluation method according to claim 5, characterized in that: Detailed steps for determining indicator weights using the entropy method: S401. Calculate the weight coefficient of the i-th enterprise in the j-th evaluation index. The specific formula is as follows: In the formula, represents the sum of dimensionless values ​​of the jth indicator of each enterprise, where n is the number of enterprises; S402. Calculate the entropy value of each indicator. The specific formula is as follows: In the formula, to ensure that P ij >0, then it is necessary to translate the 0 value and adjust it by P' ij =P ij +0.0001, and then calculate the entropy value; S403, calculate the information entropy redundancy, the specific formula is as follows: D j =1-E j Where D j represents the information entropy redundancy, that is, the difference coefficient; the entropy value E of the previous step j Inversely proportional to the information content, in order to better observe the meaning of the data, 1 minus the entropy value E is selected j ; S404. Calculate the weight of each indicator. The specific formula is as follows: Where W j represents the weight of the jth indicator, D j represents the information entropy redundancy, It is the sum of the information entropy redundancy of all indicators; S405: Calculate the score value. The specific formula is as follows: In the formula, based on the standardized index X' ij And the calculated indicator weight W j , use the weighted multilinear function to calculate the comprehensive score Z i .

7. A multi-energy subject carbon credit evaluation method according to claim 6, characterized in that: Comprehensive evaluation value of corporate carbon credit: An indicator matrix is ​​established based on the evaluation enterprise data, the data is dimensionless, and the entropy value and weight of each indicator are calculated according to the calculation steps of the entropy method; By summing up and ranking the weights of the three dimensions, the average level score of each dimension is calculated, and the comprehensive calculation result of the corporate carbon credit is derived based on this.

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