Evaluation method for carbon emission performance of enterprise and related equipment

Abstract

The invention provides an enterprise carbon emission performance evaluation method and related equipment, and the method comprises the steps: obtaining a plurality of pieces of carbon data corresponding to an evaluation index of each carbon emission performance of an enterprise, and calculating a plurality of index values corresponding to the evaluation index based on the plurality of pieces of carbon data for each evaluation index; determining a plurality of subjective weights corresponding to each evaluation index by using an analytic hierarchy process, and determining a plurality of objective weights corresponding to each evaluation index by using an entropy weight method based on the plurality of index values corresponding to each evaluation index; calculating a plurality of target weights corresponding to each evaluation index based on the plurality of subjective weights and the plurality of objective weights corresponding to each evaluation index; and based on the plurality of target weights and the plurality of index values corresponding to each evaluation index, determining the evaluation score of the carbon emission performance of the enterprise by using a superior and inferior solution distance method, thereby solving the technical problem that the evaluation of the carbon emission performance of the enterprise is inaccurate in the prior art.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to an evaluation method and related equipment for the carbon emission performance of an enterprise. Background Art

[0002] With the advancement of the carbon peak and carbon neutrality goals and the shift from dual control of energy consumption to dual control of carbon emissions, the pace of green and low-carbon transformation of traditional high-energy-consuming enterprises also needs to be further accelerated. Comprehensive and accurate evaluation of the carbon emission performance level of enterprises is the basis for tapping the emission reduction potential of enterprises, promoting their emission reduction actions and measuring carbon emission performance. Carbon emission performance carbon efficiency evaluation is a scoring method that measures the relationship between an enterprise's output and greenhouse gas emissions and reflects the level of low-carbon development of an enterprise. It is conducive to urging enterprises to accelerate technological and process innovation, lead enterprises to implement green and low-carbon production, improve the society's low-carbon environmental awareness, and promote the transformation and upgrading of the entire industrial structure towards a low-carbon, efficient and sustainable direction.

[0003] To carry out carbon efficiency evaluation, it is necessary to first build a corresponding evaluation index system. In the existing technology, carbon emission performance evaluation only uses a single evaluation index. The evaluation often refers to the concept of carbon intensity, and uses the carbon emissions per unit revenue or unit added value of the enterprise as an indicator for evaluating the carbon emission performance of the enterprise. However, due to the complexity of carbon emission reduction issues, a single indicator may not be able to fully reflect the carbon emission performance of the enterprise. In addition, in terms of the indicator weight determination method, the existing carbon emission performance evaluation method only uses a single subjective or objective weight calculation method, which has great uncertainty and affects the accuracy and robustness of the evaluation results. Summary of the invention

[0004] In view of this, the purpose of this application is to propose an evaluation method and related equipment for the carbon emission performance of an enterprise to overcome all or part of the deficiencies in the prior art.

[0005] Based on the above purpose, the present application provides a method for evaluating the carbon emission performance of an enterprise, including: obtaining multiple carbon data corresponding to each carbon emission performance evaluation index of the enterprise, and for each evaluation index, calculating multiple index values ​​corresponding to the evaluation index based on the multiple carbon data; using the hierarchical analysis method to determine multiple subjective weights corresponding to each evaluation index, and based on the multiple index values ​​corresponding to each evaluation index, using the entropy weight method to determine multiple objective weights corresponding to each evaluation index; based on the multiple subjective weights and multiple objective weights corresponding to each evaluation index, calculating multiple target weights corresponding to each evaluation index; based on the multiple target weights and multiple index values ​​corresponding to each evaluation index, using the superior and inferior solution distance method to determine the evaluation score of the carbon emission performance of the enterprise.

[0006] Optionally, the evaluation index is a carbon input index, which includes an energy consumption intensity sub-indicator, an electrification degree sub-indicator, a green electricity ratio sub-indicator, a green certificate ratio sub-indicator and a green electricity and green certificate emission reduction contribution sub-indicator. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, including: based on the total comprehensive energy consumption of the enterprise in the year to be evaluated contained in the multiple carbon data and the business contribution of the enterprise in the year to be evaluated, the index value of the energy consumption intensity sub-indicator is determined by the following formula: Among them, X 11 is the index value of the energy intensity sub-index, TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the total electricity consumption of the enterprise in the year to be evaluated and the total comprehensive energy consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the electrification degree sub-index is determined by the following formula: Among them, X 12 is the index value of the electrification degree sub-indicator, TotElec represents the total electricity consumption of the enterprise in the year to be evaluated, and TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated; based on the total green electricity purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the green electricity proportion sub-indicator is calculated by the following formula: Among them, X 13 is the index value of the green electricity ratio sub-indicator, GP represents the total green electricity purchase amount of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the total green certificate purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green certificate ratio sub-indicator is calculated by the following formula: Among them, X 14 is the index value of the green certificate ratio sub-indicator, GEC represents the total amount of green certificates purchased by the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the location-based scope 2 carbon emissions of the enterprise in the year to be evaluated and the market-based scope 2 carbon emissions of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green electricity green certificate emission reduction contribution sub-indicator is determined by the following formula: Among them, X 15 is the index value of the green electricity green certificate emission reduction contribution sub-indicator, Emi location Indicates the location-based Scope 2 carbon emissions of the company in the year to be evaluated, Emi market Represents the market-based Scope 2 carbon emissions of the company in the year to be evaluated.

[0007] Optionally, the evaluation index is a carbon output index, and the carbon output index includes a carbon intensity sub-indicator and a carbon intensity change rate sub-indicator. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, including: based on the total carbon emissions of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the carbon intensity sub-indicator is determined by the following formula: Among them, X 21 is the index value of the carbon intensity sub-indicator, TotEmi represents the total carbon emissions of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the carbon intensity of the enterprise in the year to be evaluated and the carbon intensity of the enterprise in the previous year of the year to be evaluated contained in the multiple carbon data, the index value of the carbon intensity change rate sub-indicator is determined by the following formula: Among them, X 22 is the index value of the carbon intensity change rate sub-index, X 21_b represents the carbon intensity of the enterprise in the year to be evaluated, X 21_a It indicates the carbon intensity of the enterprise in the year before the year to be evaluated.

[0008] Optionally, the evaluation index is a carbon transfer index, which includes a supplier green electricity ratio sub-indicator, a supplier green certificate ratio sub-indicator and a supplier carbon intensity sub-indicator. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, including: based on the proportion of consumption purchased from suppliers to the total consumption of enterprise procurement and the proportion of supplier green electricity consumption to total electricity consumption contained in the multiple carbon data, the index value of the supplier green electricity ratio sub-indicator is determined by the following formula: X 31 =∑ i w i ×X 13_i , where X 31 is the indicator value of the green electricity ratio sub-indicator of the supplier, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 13_i represents the proportion of green electricity consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers in the total consumption of enterprise procurement and the proportion of supplier green certificate consumption in the total electricity consumption contained in the multiple carbon data, the indicator value of the supplier green certificate proportion sub-indicator is determined by the following formula: X 32 =∑ i w i ×X 14_i , where X 32 is the indicator value of the supplier green certificate ratio sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 14_irepresents the proportion of green certificate consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers contained in the multiple carbon data in the total consumption of enterprise procurement and the carbon intensity of the supplier in the year to be evaluated, the indicator value of the supplier carbon intensity sub-indicator is determined by the following formula: X 33 =∑ i w i ×X 21_i , where X 33 is the indicator value of the supplier’s carbon intensity sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 21_i Represents the carbon intensity of supplier i in the year to be evaluated.

[0009] Optionally, the evaluation index includes multiple sub-indicators, and the method of determining multiple subjective weights corresponding to each evaluation index by using the hierarchical analysis method includes: constructing a judgment matrix corresponding to the evaluation index by using a predetermined scaling method; and determining the initial subjective weight corresponding to each sub-indicator in the evaluation index by the following formula based on the judgment matrix: Among them, w 1j is the initial subjective weight of sub-indicator j, n1 is the order of the judgment matrix, a jz is an element in the judgment matrix, representing the importance of sub-indicator j relative to sub-indicator z; in response to determining that the multiple initial subjective weights corresponding to the evaluation indicator pass the consistency test, the multiple initial subjective weights corresponding to the evaluation indicator are determined as the multiple subjective weights.

[0010] Optionally, the evaluation index includes multiple sub-indicators, and the multiple objective weights corresponding to each evaluation index are determined by using an entropy weight method based on multiple indicator values ​​corresponding to each evaluation index, including: constructing an indicator value matrix corresponding to the evaluation index based on the multiple indicator values ​​corresponding to the evaluation index; and determining the objective weight corresponding to each sub-indicator in the evaluation index by the following formula based on the indicator value matrix: Among them, w 2j is the subjective weight of sub-indicator j, E j is the information entropy of the sub-index j, p ij is the proportion of sub-indicator j corresponding to enterprise i, Y ij is an element in the indicator value matrix, representing the indicator value corresponding to the sub-indicator j of enterprise i after standardization, m is the total number of enterprises, and n2 is the total number of evaluation indicators.

[0011] Optionally, the evaluation index includes multiple sub-indicators, each sub-indicator corresponds to a subjective weight and an objective weight, and the multiple target weights corresponding to each evaluation index are calculated based on the multiple subjective weights and multiple objective weights corresponding to each evaluation index, including: in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are the same, determining the subjective weight or the objective weight corresponding to each sub-indicator as the target weight corresponding to each sub-indicator; in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are different, determining the target weight corresponding to each sub-indicator by the following formula: Among them, W j is the target weight of sub-indicator j, w 1j is the initial subjective weight of the sub-indicator j, w 2j is the subjective weight of the sub-indicator j, and n2 is the total number of evaluation indicators.

[0012] Optionally, the evaluation index includes multiple sub-indicators, and the determination of the evaluation score of the carbon emission performance of the enterprise by using the superior-inferior solution distance method based on multiple target weights and multiple indicator values ​​corresponding to each evaluation index includes: constructing a weighted indicator value matrix corresponding to the evaluation index based on the multiple target weights and multiple indicator values ​​corresponding to the evaluation index; and determining the evaluation score based on the weighted indicator value matrix by the following formula, Among them, C q is the evaluation score of enterprise q, V qj is an element in the weighted index value matrix, representing the weighted index value of sub-indicator j in enterprise q, A+ is the positive ideal solution of sub-indicator j, A- is the negative ideal solution of sub-indicator j, and n2 is the total number of evaluation indicators.

[0013] Based on the same inventive concept, the present application also provides an evaluation device for an enterprise's carbon emission performance, comprising: a first calculation module, configured to obtain multiple carbon data corresponding to each carbon emission performance evaluation index of the enterprise, and for each evaluation index, calculate multiple index values ​​corresponding to the evaluation index based on the multiple carbon data; a first determination module, configured to use a hierarchical analysis method to determine multiple subjective weights corresponding to each evaluation index, and based on the multiple index values ​​corresponding to each evaluation index, use an entropy weight method to determine multiple objective weights corresponding to each evaluation index; a second calculation module, configured to calculate multiple target weights corresponding to each evaluation index based on the multiple subjective weights and multiple objective weights corresponding to each evaluation index; a second determination module, configured to use a superior and inferior solution distance method to determine the evaluation score of the enterprise's carbon emission performance based on the multiple target weights and multiple index values ​​corresponding to each evaluation index.

[0014] Optionally, the evaluation index is a carbon input index, which includes an energy consumption intensity sub-indicator, an electrification degree sub-indicator, a green electricity ratio sub-indicator, a green certificate ratio sub-indicator and a green electricity and green certificate emission reduction contribution sub-indicator. The first calculation module is further configured to: based on the total comprehensive energy consumption of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated contained in the multiple carbon data, determine the index value of the energy consumption intensity sub-indicator by the following formula: Among them, X 11 is the index value of the energy intensity sub-index, TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the total electricity consumption of the enterprise in the year to be evaluated and the total comprehensive energy consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the electrification degree sub-index is determined by the following formula: Among them, X 12 is the index value of the electrification degree sub-indicator, TotElec represents the total electricity consumption of the enterprise in the year to be evaluated, and TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated; based on the total green electricity purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the green electricity proportion sub-indicator is calculated by the following formula: Among them, X 13 is the index value of the green electricity ratio sub-indicator, GP represents the total green electricity purchase amount of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the total green certificate purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green certificate ratio sub-indicator is calculated by the following formula: Among them, X 14 is the index value of the green certificate ratio sub-indicator, GEC represents the total amount of green certificates purchased by the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the location-based scope 2 carbon emissions of the enterprise in the year to be evaluated and the market-based scope 2 carbon emissions of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green electricity green certificate emission reduction contribution sub-indicator is determined by the following formula: Among them, X 15 is the index value of the green electricity green certificate emission reduction contribution sub-indicator, Emi location Indicates the location-based Scope 2 carbon emissions of the company in the year to be evaluated, Emi market Represents the market-based Scope 2 carbon emissions of the company in the year to be evaluated.

[0015] Optionally, the evaluation index is a carbon output index, and the carbon output index includes a carbon intensity sub-indicator and a carbon intensity change rate sub-indicator. The first calculation module is further configured to: determine the index value of the carbon intensity sub-indicator by the following formula based on the total carbon emissions of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated contained in the multiple carbon data: Among them, X 21 is the index value of the carbon intensity sub-indicator, TotEmi represents the total carbon emissions of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the carbon intensity of the enterprise in the year to be evaluated and the carbon intensity of the enterprise in the previous year of the year to be evaluated contained in the multiple carbon data, the index value of the carbon intensity change rate sub-indicator is determined by the following formula: Among them, X 22 is the index value of the carbon intensity change rate sub-index, X 21_b represents the carbon intensity of the enterprise in the year to be evaluated, X 21_a It indicates the carbon intensity of the enterprise in the year before the year to be evaluated.

[0016] Optionally, the evaluation index is a carbon transfer index, which includes a supplier green electricity ratio sub-indicator, a supplier green certificate ratio sub-indicator and a supplier carbon intensity sub-indicator. The first calculation module is further configured to: determine the index value of the supplier green electricity ratio sub-indicator by the following formula based on the proportion of consumption purchased from suppliers to the total consumption of enterprise procurement and the proportion of supplier green electricity consumption to total electricity consumption contained in the multiple carbon data: X 31 =∑ i w i ×X 13_i , where X 31 is the indicator value of the green electricity ratio sub-indicator of the supplier, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 13_i represents the proportion of green electricity consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers in the total consumption of enterprise procurement and the proportion of supplier green certificate consumption in the total electricity consumption contained in the multiple carbon data, the indicator value of the supplier green certificate proportion sub-indicator is determined by the following formula: X 32 =∑ i w i ×X 14_i , where X 32 is the indicator value of the supplier green certificate ratio sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 14_irepresents the proportion of green certificate consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers contained in the multiple carbon data in the total consumption of enterprise procurement and the carbon intensity of the supplier in the year to be evaluated, the indicator value of the supplier carbon intensity sub-indicator is determined by the following formula: X 33 =∑ i w i ×X 21_i , where X 33 is the indicator value of the supplier’s carbon intensity sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 21_i Represents the carbon intensity of supplier i in the year to be evaluated.

[0017] Optionally, the evaluation index includes multiple sub-indicators, and the first determination module is further configured to: construct a judgment matrix corresponding to the evaluation index using a predetermined scaling method; based on the judgment matrix, determine the initial subjective weight corresponding to each sub-indicator in the evaluation index by the following formula:

[0018] Among them, w 1j is the initial subjective weight of sub-indicator j, n1 is the order of the judgment matrix, a jz is an element in the judgment matrix, representing the importance of sub-indicator j relative to sub-indicator z; in response to determining that the multiple initial subjective weights corresponding to the evaluation indicator pass the consistency test, the multiple initial subjective weights corresponding to the evaluation indicator are determined as the multiple subjective weights.

[0019] Optionally, the evaluation indicator includes multiple sub-indicators, and the first determination module is further configured to: construct an indicator value matrix corresponding to the evaluation indicator based on multiple indicator values ​​corresponding to the evaluation indicator; and determine the objective weight corresponding to each sub-indicator in the evaluation indicator by the following formula based on the indicator value matrix: Among them, w 2j is the subjective weight of sub-indicator j, E j is the information entropy of the sub-index j, p qj is the proportion of sub-indicator j corresponding to enterprise q, Y qj is an element in the indicator value matrix, representing the indicator value corresponding to the sub-indicator j of enterprise q after standardization, m is the total number of enterprises, and n2 is the total number of evaluation indicators.

[0020] Optionally, the evaluation index includes multiple sub-indicators, one sub-indicator corresponds to a subjective weight and an objective weight, and the second determination module is further configured to: in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are the same, determine the subjective weight or the objective weight corresponding to each sub-indicator as the target weight corresponding to each sub-indicator; in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are different, determine the target weight corresponding to each sub-indicator by the following formula: Among them, W j is the target weight of sub-indicator j, w 1j is the initial subjective weight of the sub-indicator j, w 2j is the subjective weight of the sub-indicator j, and n2 is the total number of evaluation indicators.

[0021] Optionally, the evaluation indicator includes multiple sub-indicators, and the second determination module is further configured to: construct a weighted indicator value matrix corresponding to the evaluation indicator based on multiple target weights and multiple indicator values ​​corresponding to the evaluation indicator; and determine the evaluation score based on the weighted indicator value matrix by the following formula: Among them, C q is the evaluation score of enterprise q, V qj is an element in the weighted index value matrix, representing the weighted index value of sub-indicator j in enterprise q, A+ is the positive ideal solution of sub-indicator j, A- is the negative ideal solution of sub-indicator j, and n2 is the total number of evaluation indicators.

[0022] Based on the same inventive concept, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein the processor implements the method as described above when executing the computer program.

[0023] Based on the same inventive concept, the present application also provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a computer to execute the method as described above.

[0024] As can be seen from the above, the carbon emission performance evaluation method and related equipment provided by the present application include obtaining multiple carbon data corresponding to each carbon emission performance evaluation index of the enterprise, and for each evaluation index, based on the multiple carbon data, calculating multiple index values ​​corresponding to the evaluation index, which more intuitively reflects the evaluation index and lays a data foundation for the subsequent evaluation of carbon emission performance. The multiple subjective weights corresponding to each evaluation index are determined by the hierarchical analysis method, and the multiple objective weights corresponding to each evaluation index are determined by the entropy weight method based on the multiple index values ​​corresponding to each evaluation index, so that the multiple subjective weights and multiple objective weights corresponding to each evaluation index are determined more accurately. Based on the multiple subjective weights and multiple objective weights corresponding to each evaluation index, the multiple target weights corresponding to each evaluation index are calculated, so that the multiple target weights of the evaluation index are more in line with the actual situation of the enterprise. Based on the multiple target weights and multiple index values ​​corresponding to each evaluation index, the evaluation score of the carbon emission performance of the enterprise is determined by the superior and inferior solution distance method, so that the determined evaluation score is close to the ideal evaluation score, so as to achieve the purpose of accurately determining the evaluation score. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the present application or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 A flow chart of a method for evaluating the carbon emission performance of an enterprise according to an embodiment of the present application;

[0027] Figure 2 A schematic diagram of a process for determining a subjective matrix using the hierarchical analysis method according to an embodiment of the present application;

[0028] Figure 3 A schematic diagram of a process for determining an objective matrix using an entropy weight method according to an embodiment of the present application;

[0029] Figure 4 A schematic diagram of a process for determining an evaluation score using a superior-inferior solution distance method according to an embodiment of the present application;

[0030] Figure 5 A flow chart of a method for evaluating the carbon emission performance of an enterprise according to another embodiment of the present application;

[0031] Figure 6 A schematic diagram of the structure of a device for evaluating the carbon emission performance of an enterprise according to an embodiment of the present application;

[0032] Figure 7This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0034] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present application should be the usual meanings understood by people with ordinary skills in the field to which the present application belongs. The "first", "second" and similar words used in the embodiments of the present application do not represent any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing in front of the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0035] As mentioned in the background technology section, with the advancement of the carbon peak and carbon neutrality goals and the shift from dual control of energy consumption to dual control of carbon emissions, the pace of green and low-carbon transformation of traditional high-energy-consuming enterprises also needs to be further accelerated. Comprehensive and accurate evaluation of the carbon emission performance level of enterprises is the basis for tapping the emission reduction potential of enterprises, promoting their emission reduction actions and measuring carbon emission performance. Carbon emission performance evaluation is a scoring method that measures the relationship between an enterprise's output and greenhouse gas emissions and reflects the level of low-carbon development of an enterprise. Carbon emission performance evaluation is conducive to urging enterprises to accelerate technological and process innovation, leading enterprises to implement green and low-carbon production, raising the society's awareness of low-carbon environmental protection, and promoting the transformation and upgrading of the entire industrial structure towards a low-carbon, efficient and sustainable direction.

[0036] To carry out carbon emission performance evaluation, it is necessary to first build a corresponding evaluation index system. In the existing technology, carbon emission performance evaluation only uses a single evaluation index. The evaluation often refers to the concept of carbon intensity, and uses the carbon emissions per unit of operating income or unit of added value as an indicator for evaluating the carbon emission performance of the enterprise. Due to the complexity of carbon emission reduction issues, a single indicator may not be able to fully reflect the carbon emission performance of the enterprise. In terms of the indicator weight determination method, the existing carbon emission performance evaluation method only uses a single subjective or objective weight calculation method, which has great uncertainty and affects the accuracy and robustness of the evaluation results.

[0037] It should also be added that indirect carbon dioxide emissions from electricity consumption are one of the main sources of greenhouse gas emissions for many companies. The amount of electricity consumed and the type of electricity consumed are key factors affecting the carbon emission performance of companies. After the country issued a policy of full coverage of renewable energy power by green certificates, the scale of green electricity and green certificates in my country will be further expanded. All renewable energy power will be given environmental attribute labels, which provides a basis for the consumption and tracking of renewable energy power. With the continuous improvement of my country's green electricity trading rules and the full coverage of renewable energy power by green certificates, the consumption of renewable energy power through market-oriented methods such as green electricity and green certificate trading has become an important means for companies to reduce their electricity carbon emissions. Companies can prove their consumption of green electricity by participating in green electricity trading or purchasing green certificates, which not only helps companies reduce their carbon footprint, but also is an important way for companies to fulfill their social responsibilities and enhance their brand image. In addition, more and more companies are beginning to pay attention to the environmental performance of their supply chains and regard the carbon emission level of suppliers as one of the key decision-making factors in selecting suppliers. Companies can evaluate the carbon emission data of suppliers and encourage them to take emission reduction measures, thereby achieving a low-carbon transformation of the entire supply chain. With the maturity of green electricity and green certificates related policies and the active market, purchasing green electricity and green certificates will gradually become a key strategy for more and more companies to achieve low-carbon transformation.

[0038] However, the current carbon emission performance evaluation indicators and methods generally do not consider the impact of the company's own and its supply chain's purchase of green electricity and green certificates on the company's carbon emission performance, and are difficult to adapt to the current needs of corporate carbon emission performance evaluation and supply chain carbon management, and cannot fully and objectively reflect the company's carbon emission performance level. None of the existing carbon emission performance evaluation methods have included the company's green electricity and green certificate consumption and the emission reduction benefits they generate into the evaluation index system, and cannot reflect the company's efforts in green electricity and green certificate procurement and the impact of green electricity and green certificate consumption on the company's carbon emission level. This will lead to the green and low-carbon efforts and carbon reduction results achieved by the company through the purchase of green electricity and green certificates. It is difficult for companies that purchase green electricity and green certificates to get corresponding incentives, which reduces the company's enthusiasm for purchasing and consuming green electricity and green certificates. At the same time, the company's carbon emissions involve multiple links such as the supply chain and product life cycle, and the supplier's carbon emission level and green electricity and green certificate consumption behavior will also affect the company's low-carbon transformation. This factor is also not reflected in the current carbon emission performance evaluation system. In summary, the existing carbon emission performance evaluation system can no longer adapt to the comprehensive carbon emission performance evaluation and supply chain carbon management needs of enterprises taking into account green electricity and green certificates under the full coverage of green certificates. This also makes the evaluation of the carbon emission performance of enterprises in the existing technology inaccurate.

[0039] In view of this, the present application embodiment proposes a method for evaluating the carbon emission performance of an enterprise, referring to Figure 1 , including the following steps:

[0040] Step 101, obtaining a plurality of carbon data corresponding to each carbon emission performance evaluation index of the enterprise, and for each evaluation index, calculating a plurality of index values ​​corresponding to the evaluation index based on the plurality of carbon data.

[0041] In this step, carbon emission performance is an important indicator to measure the contribution of enterprises to low-carbon development. Through reasonable carbon emission performance management, carbon emissions can be reduced, environmental load can be reduced, and green development goals can be achieved. Therefore, it is necessary to evaluate the carbon emission performance of enterprises. A single evaluation indicator cannot accurately evaluate the carbon emission performance of an enterprise. Therefore, multiple carbon emission performance evaluation indicators of the enterprise are determined according to the actual production situation of the enterprise. Since the specific values ​​can intuitively reflect the evaluation results when evaluating the carbon emission performance of an enterprise, it is necessary to first obtain multiple carbon data corresponding to each carbon emission performance evaluation indicator. Among them, the above multiple carbon data come from the enterprise samples that carry out carbon emission performance evaluation, and the actual data of the enterprise are collected according to the data requirements of each evaluation indicator. Then, for each evaluation indicator, based on multiple carbon data, multiple indicator values ​​corresponding to the evaluation indicator are calculated, and the evaluation indicator is digitized, which more intuitively reflects the evaluation indicator and lays a data foundation for the subsequent evaluation of carbon emission performance.

[0042] Step 102, using the analytic hierarchy process to determine multiple subjective weights corresponding to each evaluation indicator, and based on multiple indicator values ​​corresponding to each evaluation indicator, using the entropy weight method to determine multiple objective weights corresponding to each evaluation indicator.

[0043] In this step, the Analytic Hierarchy Process (AHP) is a weight determination and decision analysis method based on the subjective experience of experts. By establishing a hierarchical model, each factor is compared and comprehensively evaluated to determine the relative importance or priority of each factor. The use of the AHP method to determine the multiple subjective weights corresponding to each evaluation indicator not only utilizes the expert experience, but also introduces mathematical principles and structured thinking, which greatly enhances the rigor and operability of the decision-making process, making the multiple subjective weights corresponding to each evaluation indicator more accurate. In order to make the target weight corresponding to each evaluation indicator more accurate, the entropy weight method is also required to determine the multiple objective weights corresponding to each evaluation indicator. The entropy weight method is a weight calculation method based on the principle of information entropy. It is used to determine the weight of each indicator in the comprehensive evaluation of multiple indicators. Its basic principle is to evaluate the importance of each indicator by calculating the information entropy of each indicator and determine the weight accordingly. Information entropy is an indicator to measure the degree of information concentration. The smaller the information entropy, the more concentrated the information, the greater the degree of variation of the indicator, and the greater the impact on the comprehensive evaluation. Therefore, its weight should also be greater. Based on the multiple indicator values ​​corresponding to each evaluation indicator, the entropy weight method is used to determine the multiple objective weights corresponding to each evaluation indicator. The objective weights are determined based on the statistical characteristics of the data itself, which has strong objectivity and makes the multiple objective weights corresponding to each evaluation indicator more accurate.

[0044] Step 103: Calculate multiple target weights corresponding to each evaluation indicator based on multiple subjective weights and multiple objective weights corresponding to each evaluation indicator.

[0045] In this step, although the analytic hierarchy process can accurately determine the multiple subjective weights corresponding to each evaluation index, the analytic hierarchy process is easily affected by the experience and knowledge of experts and is highly subjective. In specific applications, due to the complexity, particularity and variability of objective factors, it may affect the accurate judgment of the relative importance of each index, and thus obtain an objective weight. In addition, although the entropy weight method can accurately determine the multiple objective weights corresponding to each evaluation index and overcome the deviation caused by human factors, the entropy weight method overemphasizes the internal changes between the data of each evaluation index and lacks a specific and targeted analysis of the actual situation. In order to avoid the limitations of using a single method to calculate the weight of an index, this application combines two methods, respectively using the analytic hierarchy process and the entropy weight method to determine the subjective weight and objective weight of each index. For each evaluation index, a comprehensive analysis is performed on the multiple subjective weights determined by the analytic hierarchy process and the multiple objective weights determined by the entropy weight method to obtain multiple target weights corresponding to each evaluation index, so that the multiple target weights of the evaluation index are more in line with the actual situation of the enterprise.

[0046] Step 104 , based on the multiple target weights and multiple indicator values ​​corresponding to each evaluation indicator, the evaluation score of the carbon emission performance of the enterprise is determined using the superior and inferior solution distance method.

[0047] In this step, after determining the multiple target weights and multiple indicator values ​​corresponding to each evaluation indicator, the evaluation score of the enterprise's carbon emission performance must be determined based on the above-obtained data. This application uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS method) to determine the evaluation score. The Technique for Order Preference by Similarity to Ideal Solution is a commonly used comprehensive evaluation method, which is mainly used for multi-objective decision analysis. Its basic principle is to sort by detecting the distance between the evaluation object and the optimal solution and the worst solution. The evaluation object is closest to the optimal solution and farthest from the worst solution. The solution is considered to be the best. The TOPSIS method is used to calculate the evaluation score of the enterprise's carbon emission performance, and then the carbon efficiency level of different enterprises can be evaluated and compared based on the evaluation score of the enterprise. Each evaluation indicator has multiple sub-indicators, and the multiple target weights corresponding to the evaluation indicator reflect the importance of the multiple sub-indicators corresponding to the evaluation indicator. The multiple indicator values ​​corresponding to the evaluation indicator reflect the specific values ​​of the multiple sub-indicators corresponding to the evaluation indicator. Based on the multiple target weights and multiple indicator values ​​corresponding to each evaluation indicator, the evaluation score of the carbon emission performance of the enterprise is determined by the Technique for Order Preference by Similarity to Ideal Solution, so that the determined evaluation score is close to the ideal evaluation score, so as to achieve the purpose of accurately determining the evaluation score.

[0048] The target weight of each evaluation indicator is determined by the hierarchical analysis-entropy weight subjective and objective combined weighting method, and the TOPSIS method is used to calculate the evaluation score of the company's carbon emission performance. This can then evaluate and compare the carbon efficiency levels of different companies, greatly improving the objectivity and practicality of the company's carbon emission performance evaluation.

[0049] Through the above scheme, multiple carbon data corresponding to each carbon emission performance evaluation index of the enterprise are obtained. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, which more intuitively reflects the evaluation index and lays a data foundation for the subsequent carbon emission performance evaluation. The multiple subjective weights corresponding to each evaluation index are determined by the hierarchical analysis method, and the multiple objective weights corresponding to each evaluation index are determined by the entropy weight method based on the multiple index values ​​corresponding to each evaluation index, so that the multiple subjective weights and multiple objective weights corresponding to each evaluation index are determined more accurately. Based on the multiple subjective weights and multiple objective weights corresponding to each evaluation index, the multiple target weights corresponding to each evaluation index are calculated, so that the multiple target weights of the evaluation index are more in line with the actual situation of the enterprise. Based on the multiple target weights and multiple index values ​​corresponding to each evaluation index, the evaluation score of the carbon emission performance of the enterprise is determined by the superior and inferior solution distance method, so that the determined evaluation score is close to the ideal evaluation score, so as to achieve the purpose of accurately determining the evaluation score.

[0050] In some embodiments, the evaluation index is a carbon input index, which includes an energy consumption intensity sub-indicator, an electrification degree sub-indicator, a green electricity ratio sub-indicator, a green certificate ratio sub-indicator, and a green electricity green certificate emission reduction contribution sub-indicator. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, including: based on the total comprehensive energy consumption of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the energy consumption intensity sub-indicator is determined by the following formula: Among them, X 11 is the index value of the energy intensity sub-index, TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the total electricity consumption of the enterprise in the year to be evaluated and the total comprehensive energy consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the electrification degree sub-index is determined by the following formula: Among them, X 12 is the index value of the electrification degree sub-indicator, TotElec represents the total electricity consumption of the enterprise in the year to be evaluated, and TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated; based on the total green electricity purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the green electricity proportion sub-indicator is calculated by the following formula: Among them, X 13is the index value of the green electricity ratio sub-indicator, GP represents the total green electricity purchase amount of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the total green certificate purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green certificate ratio sub-indicator is calculated by the following formula: Among them, X 14 is the index value of the green certificate ratio sub-indicator, GEC represents the total amount of green certificates purchased by the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the location-based scope 2 carbon emissions of the enterprise in the year to be evaluated and the market-based scope 2 carbon emissions of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green electricity green certificate emission reduction contribution sub-indicator is determined by the following formula: Among them, X 15 is the index value of the green electricity green certificate emission reduction contribution sub-indicator, Emi location Indicates the location-based Scope 2 carbon emissions of the company in the year to be evaluated, Emi market Represents the market-based Scope 2 carbon emissions of the company in the year to be evaluated.

[0051] In this embodiment, the carbon input index represents the input factors such as energy and resources that affect the carbon emission level of the enterprise, including five sub-indicators: energy consumption intensity sub-indicator, electrification degree sub-indicator, green electricity proportion sub-indicator, green certificate proportion sub-indicator, green electricity and green certificate emission reduction contribution sub-indicator, as shown in Table 1.

[0052] Table 1: Carbon input indicators for enterprises taking into account green electricity and green certificates

[0053]

[0054]

[0055] The energy intensity sub-indicator represents the comprehensive energy consumption per unit revenue of the enterprise. The corresponding index value of the energy intensity sub-indicator is X 11 It is determined by dividing the total comprehensive energy consumption TotEn (unit: tons of standard coal) of the enterprise in the year to be evaluated by the business contribution Inc of the enterprise in the year to be evaluated, where the year to be evaluated refers to the year for evaluating the carbon emission performance of the enterprise. The electrification degree sub-indicator represents the proportion of electricity consumption in total consumption. The indicator value corresponding to the electrification degree sub-indicator is X 12 The green electricity ratio sub-indicator represents the proportion of green electricity in electricity consumption. The corresponding indicator value of the green electricity ratio sub-indicator is X 13The green certificate ratio sub-indicator represents the proportion of green certificates to electricity consumption. The corresponding indicator value of the green certificate ratio sub-indicator is X 14 The green electricity green certificate emission reduction contribution rate is the ratio of the difference between market-based and location-based accounting to location-based Scope 2 emissions. The green electricity green certificate emission reduction contribution rate corresponds to the indicator value X 15 It is determined by calculating the difference between the enterprise's location-based Scope 2 carbon emissions Emilocation (unit: tCO2e) in the year to be evaluated and subtracting the enterprise's market-based Scope 2 carbon emissions Emimarket (unit: tCO2e) in the year to be evaluated, and then dividing the above difference by the enterprise's location-based Scope 2 carbon emissions in the year to be evaluated.

[0056] Among them, the location-based Scope 2 carbon emissions Emilocation of the enterprise in the year to be evaluated and the market-based Scope 2 carbon emissions Emimarket of the enterprise in the year to be evaluated need to be further calculated and determined by the following formula:

[0057] Emi location =TotElec×EF ave ,

[0058] Emi market =(GP+GEC)×0+(TotElec-GP-GEC)×EF res ,

[0059] Among them, TotElec represents the total electricity consumption of the enterprise in the year to be evaluated (MWh), GP represents the total green electricity purchase volume of the enterprise in the year to be evaluated (MWh), GEC represents the total green certificate purchase volume of the enterprise in the year to be evaluated (MWh), EF ave Represents the average grid emission factor (tCO2e / MWh), and EFres represents the remaining grid emission factor (tCO2e / MWh) after excluding all market-traded green electricity and green certificate electricity.

[0060] This embodiment is aimed at the needs of multi-dimensional evaluation of corporate carbon emission performance levels. The sub-indicators of the carbon input index in this embodiment involve green electricity and green certificates, ensuring that the construction of the evaluation index and its multiple sub-indicators is more comprehensive, more accurately and objectively reflecting the multiple indicator values ​​of the carbon input index. Furthermore, this application proposes a corporate carbon emission performance evaluation method that takes into account green electricity and green certificates, helping enterprises achieve green and low-carbon transformation and sustainable development.

[0061] In some embodiments, the evaluation index is a carbon output index, and the carbon output index includes a carbon intensity sub-indicator and a carbon intensity change rate sub-indicator. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, including: based on the total carbon emissions of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the carbon intensity sub-indicator is determined by the following formula: Among them, X 21 is the index value of the carbon intensity sub-indicator, TotEmi represents the total carbon emissions of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the carbon intensity of the enterprise in the year to be evaluated and the carbon intensity of the enterprise in the previous year of the year to be evaluated contained in the multiple carbon data, the index value of the carbon intensity change rate sub-indicator is determined by the following formula: Among them, X 22 is the index value of the carbon intensity change rate sub-index, X 21_b represents the carbon intensity of the enterprise in the year to be evaluated, X 21_a It indicates the carbon intensity of the enterprise in the year before the year to be evaluated.

[0062] In this embodiment, the carbon output index represents the carbon emission level of the enterprise, including a carbon intensity sub-indicator and a carbon intensity change rate sub-indicator, as shown in Table 2.

[0063] Table 2: Carbon output indicators of enterprises taking into account green electricity and green certificates

[0064]

[0065] The carbon intensity sub-indicator represents the carbon emissions per unit of revenue of an enterprise. The corresponding indicator value of the carbon intensity sub-indicator is X 21 It is determined by dividing the total carbon emissions of the enterprise in the year to be evaluated, TotEmi (unit: tCO2e), by the business contribution of the enterprise in the year to be evaluated, Inc. The carbon intensity change rate sub-indicator represents the carbon intensity change rate between the year to be evaluated and the year before the year to be evaluated. The indicator value corresponding to the carbon intensity change rate sub-indicator is X 22 By calculating the carbon intensity X of the enterprise in the year to be evaluated 21_b (Unit: tCO2e / consumption) minus the carbon intensity of the enterprise in the previous year of the year to be evaluated X 21_a (Unit: tCO2e / consumption), and then divide the above difference by the carbon intensity of the enterprise in the previous year of the year to be evaluated X 21_a The evaluation index in this embodiment involves the carbon output index, which covers the output aspects of the actual production of the enterprise. The determined evaluation index covers a more comprehensive range, thereby making the calculated multiple index values ​​of the carbon output index representative.

[0066] In some embodiments, the evaluation index is a carbon transfer index, which includes a supplier green electricity ratio sub-indicator, a supplier green certificate ratio sub-indicator and a supplier carbon intensity sub-indicator. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, including: based on the proportion of consumption purchased from suppliers to the total consumption of enterprise procurement and the proportion of supplier green electricity consumption to total electricity consumption contained in the multiple carbon data, the index value of the supplier green electricity ratio sub-indicator is determined by the following formula: X 31 =∑ i w i ×X 13_i , where X 31 is the indicator value of the green electricity ratio sub-indicator of the supplier, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 13_i represents the proportion of green electricity consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers in the total consumption of enterprise procurement and the proportion of supplier green certificate consumption in the total electricity consumption contained in the multiple carbon data, the indicator value of the supplier green certificate proportion sub-indicator is determined by the following formula: X 32 =∑ i w i ×X 14_i , where X 32 is the indicator value of the supplier green certificate ratio sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 14_i represents the proportion of green certificate consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers contained in the multiple carbon data in the total consumption of enterprise procurement and the carbon intensity of the supplier in the year to be evaluated, the indicator value of the supplier carbon intensity sub-indicator is determined by the following formula: X 33 =∑ i w i ×X 21_i , where X 33 is the indicator value of the supplier’s carbon intensity sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 21_i Represents the carbon intensity of supplier i in the year to be evaluated.

[0067] In this embodiment, the carbon transfer index characterizes the carbon emission performance of the enterprise supply chain, including the supplier green electricity ratio sub-indicator, the supplier green certificate ratio sub-indicator and the supplier carbon intensity sub-indicator, as shown in Table 3.

[0068] Table 3: Carbon transfer indicators of enterprises taking into account green electricity and green certificates

[0069]

[0070] The supplier green electricity ratio sub-indicator represents the weighted average of the supplier green electricity ratio. The indicator value corresponding to the supplier green electricity ratio sub-indicator is X 31 By calculating the proportion of consumption purchased from supplier i to the total consumption of the enterprise, w i (Unit: %) multiplied by the proportion of green electricity consumption of supplier i in total electricity consumption X 13_i The first product value of (unit: %) is determined by calculating the sum of the first product values ​​of all suppliers. The sub-indicator of supplier green certificate ratio represents the weighted average of the supplier green certificate ratio. The indicator value corresponding to the sub-indicator of supplier green certificate ratio is X 32 By calculating the proportion of consumption purchased from supplier i to the total consumption of the enterprise, w i Multiply by the proportion of green certificate consumption of supplier i to total electricity consumption X 14_i The second product value of all suppliers is calculated, and then the sum of the second product values ​​of all suppliers is calculated. The supplier carbon intensity sub-indicator represents the weighted average of the supplier carbon intensity. The indicator value corresponding to the supplier carbon intensity sub-indicator is calculated by calculating the proportion of consumption purchased from supplier i to the total consumption of the enterprise. i The carbon intensity X of supplier i in the year to be evaluated 21_i The third product value of the third product value of all suppliers is calculated, and then the sum of the third product values ​​of all suppliers is calculated. The carbon transfer index in this embodiment involves green electricity and green certificates, which ensures that the construction of the evaluation index and its multiple sub-indicators is more comprehensive, more accurate and objectively reflects the multiple indicator values ​​of the carbon transfer index.

[0071] Through this paragraph, a comprehensive discussion is made on the evaluation scores of carbon emissions determined based on carbon input indicators, carbon production indicators and carbon transfer indicators in this application. This application studies a method for evaluating the carbon emission performance of enterprises taking into account green electricity and green certificates, and establishes an enterprise carbon emission performance evaluation model based on the hierarchical analysis-entropy weight method and the TOPSIS method, which fully reflects the carbon emission performance level of enterprises taking into account green electricity and green certificates under the background of full coverage of green certificates and the impact of green electricity and green certificates procurement on the carbon emission performance of enterprises, greatly improves the objectivity and practicality of enterprise carbon emission performance evaluation, and promotes enterprises to absorb renewable energy electricity. Fully reflect the carbon efficiency level of enterprises under the background of full coverage of green certificates and the impact of green electricity and green certificates procurement on the carbon efficiency of enterprises, and provide reliable tools for scientifically evaluating the carbon efficiency level of enterprises taking into account green electricity and green certificates, identifying the key factors affecting the carbon efficiency level, and assisting enterprises in carrying out emission reduction activities. At the same time, it serves the "dual carbon" governance, improves the enthusiasm of enterprises to achieve scope 2 emission reductions through the purchase of green electricity and green certificates, and promotes the sustainable development of the green electricity and green certificate trading market. The advantage of this application is that compared with the existing carbon emission performance evaluation methods, the enterprise carbon emission performance evaluation method taking into account green electricity and green certificates fully considers and reflects the impact of enterprises' purchase of green electricity and green certificates on their carbon emission performance. With the full coverage of renewable energy by green certificates and the gradual improvement of green electricity and green certificate trading rules, more and more companies have begun to purchase green electricity and green certificates in large quantities to reduce their indirect carbon emissions generated by purchased electricity. After taking into account the emission reduction benefits of green electricity and green certificates, the carbon emission performance level of enterprises may change significantly. This application can comprehensively and objectively reflect the carbon emission performance level of enterprises taking into account green electricity and green certificates, adapt to the needs of enterprise carbon emission performance evaluation under the background of full coverage of green certificates, and promote the consumption of green electricity and green certificates and the development of renewable energy. In addition, the carbon emission performance evaluation method proposed in this application not only takes into account the green electricity and green certificate consumption level of the evaluated enterprise itself, but also takes into account the impact of the purchase of green electricity and green certificates by the upstream suppliers of the enterprise on the carbon emission performance of the enterprise. It can effectively adapt to the needs of carbon emission performance evaluation of the entire value chain of the enterprise and assist the enterprise in carbon management and decision-making of the supply chain. The hierarchical analysis-entropy weight subjective and objective combined weighting method used in this application overcomes the limitations of using subjective weighting or objective weighting methods alone, and can specifically solve the complex problem of corporate carbon emission performance evaluation taking into account green electricity and green certificates, and conduct scientific and accurate corporate carbon emission performance evaluation.

[0072] In some embodiments, the evaluation index includes multiple sub-indicators, and the method of determining multiple subjective weights corresponding to each evaluation index using the hierarchical analysis method includes: constructing a judgment matrix corresponding to the evaluation index using a predetermined scaling method; based on the judgment matrix, determining the initial subjective weight corresponding to each sub-indicator in the evaluation index by the following formula: Among them, w 1j is the initial subjective weight of sub-indicator j, n1 is the order of the judgment matrix, a jzis an element in the judgment matrix, representing the importance of sub-indicator j relative to sub-indicator z; in response to determining that the multiple initial subjective weights corresponding to the evaluation indicator pass the consistency test, the multiple initial subjective weights corresponding to the evaluation indicator are determined as the multiple subjective weights.

[0073] In this embodiment, the analytic hierarchy process decomposes the relevant elements of decision-making into the target layer, the criterion layer and the scheme layer, and ranks the advantages and disadvantages of the decision-making schemes through people's judgment, and conducts qualitative and quantitative analysis on this basis. Figure 2 As shown in FIG, determining the weights of evaluation indicators using the hierarchical analysis method generally includes the following steps: constructing a hierarchical structure model, constructing a judgment matrix, calculating the maximum eigenvalue and eigenvector of the judgment matrix, performing a consistency test, determining the weights, etc. The following steps are used to accurately determine the multiple subjective weights corresponding to each evaluation indicator using the hierarchical analysis method.

[0074] (1) Constructing a hierarchical model

[0075] The hierarchical structure model of the analytic hierarchy process includes a target layer, a criterion layer, and a solution layer. In this embodiment, the carbon emission performance evaluation of enterprises taking into account green electricity and green certificates is the target layer, the three evaluation indicators of carbon input, carbon output, and carbon transfer constitute the criterion layer, and the 10 sub-indicators corresponding to all the evaluation indicators constitute the solution layer.

[0076] (2) Constructing a judgment matrix

[0077] For each indicator of the solution layer, the relative importance of each indicator is compared two by two using the “1 to 9 relative importance scale method” shown in Table 4 to construct a judgment matrix A, where the matrix element a ij Indicates the importance of indicator i relative to indicator j.

[0078] Table 4 Meaning of 1 to 9 scale method

[0079] Scale meaning 1 i and j are equally important 3 i is slightly more important than j 5 i is obviously more important than j 7 i is more important than j 9 i is extremely more important than j 2、4、6、8 The median of the above two adjacent judgments reciprocal Swap the order of i and j above for comparison

[0080] (3) Calculate the maximum eigenvalue and eigenvector of the judgment matrix

[0081] Calculate the product M of each row of the judgment matrix j :

[0082]

[0083] By M j Calculate the n1th root of the value, where n1 is the order of the judgment matrix:

[0084]

[0085] Calculate the normalized weight w of each indicator 1j :

[0086]

[0087] (4) Perform consistency check

[0088] Calculate the consistency index CI and consistency ratio CR of the judgment matrix. If CR < 0.1, the consistency test is passed. Otherwise, the judgment matrix needs to be rebuilt until it passes the consistency test.

[0089]

[0090] Among them, n1 is the order of the judgment matrix, λ max is the maximum eigenvalue of the judgment matrix, RI is the randomness index, and is determined according to the order n1 of the judgment matrix. In this embodiment, it is 1.49.

[0091] (5) Determine the subjective weight

[0092] If the multiple initial subjective weights corresponding to the evaluation indicators pass the consistency test, the multiple initial subjective weights corresponding to the evaluation indicators are determined as multiple subjective weights.

[0093] In some embodiments, the evaluation index includes multiple sub-indicators, and the multiple objective weights corresponding to each evaluation index are determined by using the entropy weight method based on the multiple indicator values ​​corresponding to each evaluation index, including: constructing an indicator value matrix corresponding to the evaluation index based on the multiple indicator values ​​corresponding to the evaluation index; based on the indicator value matrix, determining the objective weight corresponding to each sub-indicator in the evaluation index by the following formula: Among them, w 2j is the subjective weight of sub-indicator j, E j is the information entropy of the sub-index j, p qj is the proportion of sub-indicator j corresponding to enterprise q, Y qj is an element in the indicator value matrix, representing the indicator value corresponding to the sub-indicator j of enterprise q after standardization, m is the total number of enterprises, and n2 is the total number of evaluation indicators.

[0094] In this embodiment, the entropy weight method is an objective weighting method based on the principle of information entropy. Its main purpose is to determine the weight of each evaluation indicator in the comprehensive evaluation by calculating the degree of variation of each evaluation indicator. The core idea of ​​the entropy weight method is to use the concept of information entropy to measure the amount of information and the degree of dispersion of each evaluation indicator. The smaller the information entropy, the greater the variability of the indicator, the more information it provides, and therefore the greater its weight. Figure 3As shown in the figure, using the entropy weight method to determine the weight of the evaluation index usually includes the steps of constructing an index value matrix, data standardization, calculating the weight of the index, calculating the information entropy, calculating the entropy weight, and determining the weight. The entropy weight method is used to accurately determine the multiple objective weights corresponding to each evaluation index through the following steps:

[0095] (1) Constructing the index value matrix

[0096] Assuming there are m enterprises to be evaluated, the original indicator value matrix is ​​formed according to the above 10 evaluation indicator values ​​of each enterprise:

[0097]

[0098] Among them, x qj Represents the initial indicator value corresponding to the sub-indicator j of the qth enterprise. It should be noted that the number of enterprises to be evaluated can be 1. In this case, the constructed indicator value only includes the multiple sub-indicator values ​​corresponding to the enterprise to be evaluated.

[0099] (2) Data Standardization

[0100] Since the units or magnitudes of various indicators may be different, they need to be standardized to remove the dimensions.

[0101] Positive indicator (the larger the value, the better) standardized processing formula:

[0102] Negative indicator (the smaller the value, the better) standardization formula:

[0103] Among them, min(X j ) is the minimum value of sub-index j, max(X j ) is the maximum value of sub-index j, X qj is the original value of the qth enterprise on the jth indicator, Y qj It is the original value of the qth enterprise on the jth indicator after standardization.

[0104] (3) Calculate the weight of sub-indicators

[0105] Based on the standardized data, calculate the weight of each sub-indicator ij :

[0106]

[0107] (4) Calculate information entropy

[0108] Calculate the information entropy E of each sub-indicator using the proportion j :

[0109]

[0110] (5) Calculate entropy weight

[0111] According to the information entropy, calculate the difference coefficient D of each sub-indicator j :

[0112] D j =1-E j Formula (11)

[0113] (6) Calculate the objective weight w of each sub-indicator 2j :

[0114]

[0115] In some embodiments, the evaluation index includes multiple sub-indicators, one sub-indicator corresponds to a subjective weight and an objective weight, and the multiple target weights corresponding to each evaluation index are calculated based on the multiple subjective weights and multiple objective weights corresponding to each evaluation index, including: in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are the same, determining the subjective weight or the objective weight corresponding to each sub-indicator as the target weight corresponding to each sub-indicator; in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are different, determining the target weight corresponding to each sub-indicator by the following formula: Among them, W j is the target weight of sub-indicator j, w 1j is the initial subjective weight of the sub-indicator j, w 2j is the subjective weight of the sub-indicator j, and b2 is the total number of evaluation indicators.

[0116] In this embodiment, for each evaluation index, if the subjective weight determined by the analytic hierarchy process and the objective weight determined by the entropy weight method for the same sub-indicator in the evaluation index are the same, and the weights determined by different methods are the same, it means that the subjective weight or the objective weight is accurate, and the subjective weight or the objective weight corresponding to each sub-indicator is determined as the target weight corresponding to each sub-indicator. The target weight corresponding to each sub-indicator is verified to be consistent by the two methods, so that the target weight corresponding to each sub-indicator is accurate. If the subjective weight determined by the analytic hierarchy process and the objective weight determined by the entropy weight method for the same sub-indicator in the evaluation index are different, and the weights determined by different methods are different, therefore, it means that the subjective weight and the objective weight have certain inaccuracy. Based on the multiple subjective weights and the multiple objective weights corresponding to the evaluation index, the target weight corresponding to each sub-indicator in the evaluation index is calculated by a formula, so that the target weight of each sub-indicator is accurate.

[0117] In some embodiments, the evaluation index includes multiple sub-indicators, and the determination of the evaluation score of the carbon emission performance of the enterprise by using the superior-inferior solution distance method based on multiple target weights and multiple indicator values ​​corresponding to each evaluation index includes: constructing a weighted indicator value matrix corresponding to the evaluation index based on the multiple target weights and multiple indicator values ​​corresponding to the evaluation index; and determining the evaluation score based on the weighted indicator value matrix by the following formula: Among them, C q is the evaluation score of enterprise q, V qj is an element in the weighted index value matrix, representing the weighted index value of sub-indicator j in enterprise q, A+ is the positive ideal solution of sub-indicator j, A- is the negative ideal solution of sub-indicator j, and n2 is the total number of evaluation indicators.

[0118] In this embodiment, the TOPSIS method is a multi-objective decision analysis method for finite solutions based on the ranking of ideal solutions, and a comprehensive performance evaluation is performed according to the relative proximity of each evaluation object to the optimal solution. On the basis of determining the weights of multiple targets corresponding to the evaluation indicators based on the hierarchical analysis-entropy weight method, the TOPSIS method is further used to calculate the carbon emission performance score of the enterprise, so that the determined evaluation score is close to the ideal evaluation score, so as to achieve the purpose of accurately determining the evaluation score. The basic principle of the TOPSIS method is based on the normalized original data matrix, and the cosine method is used to find the optimal solution and the worst solution of the evaluation target (represented by the optimal vector and the worst vector, respectively, called the positive ideal solution and the negative ideal solution), and then the distance between each evaluation object and the optimal solution and the worst solution is calculated respectively, and the relative proximity of each evaluation object to the optimal solution is obtained, which is used as the basis for evaluating the pros and cons. Figure 4 As shown, it includes steps such as constructing a weighted index value matrix, determining an ideal solution, calculating distances, and calculating comprehensive scores. The specific calculation steps are as follows:

[0119] (1) Construct an indicator value matrix. Based on the indicator value matrix and target weights, construct a weighted indicator value matrix:

[0120] V qj =W j ×Y qj Formula (13).

[0121] (2) Determine the ideal solution

[0122] Determine the positive ideal solution A+ and negative ideal solution A- of the sub-indicator:

[0123] A + ={max(V qj )|j=1,2,...,10} Formula (14),

[0124] A -={min(V qj )|j=1,2,...,10}formula (15).

[0125] (3) Calculate distance

[0126] Calculate the distance between each enterprise’s carbon emission performance level and the positive ideal solution and the negative ideal solution:

[0127] Distance to positive ideal solution

[0128] Distance to negative ideal solution

[0129] (4) Calculate the comprehensive score

[0130] The carbon emission performance evaluation score of each evaluated enterprise is calculated based on the distance. The higher the score, the better the carbon performance:

[0131]

[0132] In another embodiment provided in the present application, Figure 5 As shown in the figure, after constructing the evaluation index system, data is collected, the original values ​​of the indicators are calculated using the collected data, the weights of each indicator are determined using the AHP method and the entropy weight method, and finally, based on the original values ​​of the indicators and the weights of each indicator, the TOPSIS method is used to perform a comprehensive score on carbon emission performance.

[0133] It should be noted that the method of the embodiment of the present application can be performed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present application, and the multiple devices will interact with each other to complete the described method.

[0134] It should be noted that the above describes some embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0135] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides an evaluation device for the carbon emission performance of an enterprise.

[0136] refer to Figure 6The carbon emission performance evaluation device of the enterprise comprises:

[0137] The first calculation module 10 is configured to obtain a plurality of carbon data corresponding to each carbon emission performance evaluation index of the enterprise, and for each evaluation index, calculate a plurality of index values ​​corresponding to the evaluation index based on the plurality of carbon data.

[0138] The first determination module 20 is configured to determine multiple subjective weights corresponding to each evaluation indicator using a hierarchical analysis method, and to determine multiple objective weights corresponding to each evaluation indicator using an entropy weight method based on multiple indicator values ​​corresponding to each evaluation indicator.

[0139] The second calculation module 30 is configured to calculate a plurality of target weights corresponding to each evaluation indicator based on a plurality of subjective weights and a plurality of objective weights corresponding to each evaluation indicator.

[0140] The second determination module 40 is configured to determine the evaluation score of the carbon emission performance of the enterprise by using the superior and inferior solution distance method based on multiple target weights and multiple indicator values ​​corresponding to each evaluation indicator.

[0141] Through the above device, multiple carbon data corresponding to each carbon emission performance evaluation index of the enterprise are obtained. For each evaluation index, based on the multiple carbon data, multiple index values ​​corresponding to the evaluation index are calculated, which more intuitively reflects the evaluation index and lays a data foundation for the subsequent evaluation of carbon emission performance. The multiple subjective weights corresponding to each evaluation index are determined by the hierarchical analysis method, and the multiple objective weights corresponding to each evaluation index are determined by the entropy weight method based on the multiple index values ​​corresponding to each evaluation index, so that the multiple subjective weights and multiple objective weights corresponding to each evaluation index are determined more accurately. Based on the multiple subjective weights and multiple objective weights corresponding to each evaluation index, the multiple target weights corresponding to each evaluation index are calculated, so that the multiple target weights of the evaluation index are more in line with the actual situation of the enterprise. Based on the multiple target weights and multiple index values ​​corresponding to each evaluation index, the evaluation score of the carbon emission performance of the enterprise is determined by the superior and inferior solution distance method, so that the determined evaluation score is close to the ideal evaluation score, so as to achieve the purpose of accurately determining the evaluation score.

[0142] In some embodiments, the first calculation module 10 is further configured that the evaluation index is a carbon input index, and the carbon input index includes an energy consumption intensity sub-indicator, an electrification degree sub-indicator, a green electricity ratio sub-indicator, a green certificate ratio sub-indicator, and a green electricity and green certificate emission reduction contribution sub-indicator. Based on the total comprehensive energy consumption of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the energy consumption intensity sub-indicator is determined by the following formula: Among them, X 11is the index value of the energy intensity sub-index, TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the total electricity consumption of the enterprise in the year to be evaluated and the total comprehensive energy consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the electrification degree sub-index is determined by the following formula: Among them, X 12 is the index value of the electrification degree sub-indicator, TotElec represents the total electricity consumption of the enterprise in the year to be evaluated, and TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated; based on the total green electricity purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the green electricity proportion sub-indicator is calculated by the following formula: Among them, X 13 is the index value of the green electricity ratio sub-indicator, GP represents the total green electricity purchase amount of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the total green certificate purchase amount of the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green certificate ratio sub-indicator is calculated by the following formula: Among them, X 14 is the index value of the green certificate ratio sub-indicator, GEC represents the total amount of green certificates purchased by the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; based on the location-based scope 2 carbon emissions of the enterprise in the year to be evaluated and the market-based scope 2 carbon emissions of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green electricity green certificate emission reduction contribution sub-indicator is determined by the following formula: Among them, X 15 is the index value of the green electricity green certificate emission reduction contribution sub-indicator, Emi location Indicates the location-based Scope 2 carbon emissions of the company in the year to be evaluated, Emi market Represents the market-based Scope 2 carbon emissions of the company in the year to be evaluated.

[0143] In some embodiments, the first calculation module 10 is further configured such that the evaluation index is a carbon output index, the carbon output index includes a carbon intensity sub-index and a carbon intensity change rate sub-index, and based on the total carbon emissions of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated contained in the plurality of carbon data, the index value of the carbon intensity sub-index is determined by the following formula: Among them, X 21is the index value of the carbon intensity sub-indicator, TotEmi represents the total carbon emissions of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; based on the carbon intensity of the enterprise in the year to be evaluated and the carbon intensity of the enterprise in the previous year of the year to be evaluated contained in the multiple carbon data, the index value of the carbon intensity change rate sub-indicator is determined by the following formula: Among them, X 22 is the index value of the carbon intensity change rate sub-index, X 21_b represents the carbon intensity of the enterprise in the year to be evaluated, X 21_a It indicates the carbon intensity of the enterprise in the year before the year to be evaluated.

[0144] In some embodiments, the first calculation module 10 is further configured such that the evaluation index is a carbon transfer index, the carbon transfer index includes a supplier green electricity ratio sub-indicator, a supplier green certificate ratio sub-indicator and a supplier carbon intensity sub-indicator, and based on the proportion of consumption purchased from suppliers to the total consumption of enterprise purchases and the proportion of supplier green electricity consumption to total electricity consumption contained in the multiple carbon data, the index value of the supplier green electricity ratio sub-indicator is determined by the following formula: X 31 =∑ i w i ×X 13_i , where X 31 is the indicator value of the green electricity ratio sub-indicator of the supplier, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 13_i represents the proportion of green electricity consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers in the total consumption of enterprise procurement and the proportion of supplier green certificate consumption in the total electricity consumption contained in the multiple carbon data, the indicator value of the supplier green certificate proportion sub-indicator is determined by the following formula: X 32 =∑ i w i ×X 14_i , where X 32 is the indicator value of the supplier green certificate ratio sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 14_i represents the proportion of green certificate consumption of supplier i in the total electricity consumption; based on the proportion of consumption purchased from suppliers contained in the multiple carbon data in the total consumption of enterprise procurement and the carbon intensity of the supplier in the year to be evaluated, the indicator value of the supplier carbon intensity sub-indicator is determined by the following formula: X 33 =∑ i w i ×X 21_i , where X 33 is the indicator value of the supplier’s carbon intensity sub-indicator, w irepresents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 21_i Represents the carbon intensity of supplier i in the year to be evaluated.

[0145] In some embodiments, the first determination module 20 is further configured to construct a judgment matrix corresponding to the evaluation index using a predetermined scaling method; based on the judgment matrix, determine the initial subjective weight corresponding to each sub-indicator in the evaluation index by the following formula: Among them, w 1j is the initial subjective weight of sub-indicator j, b1 is the order of the judgment matrix, a jz is an element in the judgment matrix, representing the importance of sub-indicator j relative to sub-indicator z; in response to determining that the multiple initial subjective weights corresponding to the evaluation indicator pass the consistency test, the multiple initial subjective weights corresponding to the evaluation indicator are determined as the multiple subjective weights.

[0146] In some embodiments, the first determination module 20 is further configured that the evaluation indicator includes multiple sub-indicators, and based on the multiple indicator values ​​corresponding to the evaluation indicator, an indicator value matrix corresponding to the evaluation indicator is constructed; based on the indicator value matrix, the objective weight corresponding to each sub-indicator in the evaluation indicator is determined by the following formula: Among them, w 2j is the subjective weight of sub-indicator j, E j is the information entropy of the sub-index j, p qj is the proportion of sub-indicator j corresponding to enterprise q, Y qj is an element in the indicator value matrix, representing the indicator value corresponding to the sub-indicator j of enterprise q after standardization, m is the total number of enterprises, and n2 is the total number of evaluation indicators.

[0147] In some embodiments, the second determination module 30 is further configured that the evaluation index includes multiple sub-indicators, one sub-indicator corresponds to a subjective weight and an objective weight, in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are the same, the subjective weight or the objective weight corresponding to each sub-indicator is determined as the target weight corresponding to each sub-indicator; in response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation index are different, the target weight corresponding to each sub-indicator is determined by the following formula: Among them, W j is the target weight of sub-indicator j, w 1j is the initial subjective weight of the sub-indicator j, w 2j is the subjective weight of the sub-indicator j, and n2 is the total number of evaluation indicators.

[0148] In some embodiments, the second determination module 40 is further configured that the evaluation indicator includes multiple sub-indicators, and based on multiple target weights and multiple indicator values ​​corresponding to the evaluation indicator, a weighted indicator value matrix corresponding to the evaluation indicator is constructed; based on the weighted indicator value matrix, the evaluation score is determined by the following formula: Among them, C q is the evaluation score of enterprise q, V qj is an element in the weighted index value matrix, representing the weighted index value of sub-indicator j in enterprise q, A+ is the positive ideal solution of sub-indicator j, A- is the negative ideal solution of sub-indicator j, and n2 is the total number of evaluation indicators.

[0149] For the convenience of description, the above device is described in terms of functions divided into various modules. Of course, when implementing the present application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0150] The device of the above embodiment is used to implement the evaluation method of the carbon emission performance of the corresponding enterprise in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0151] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for evaluating the carbon emission performance of an enterprise as described in any of the above embodiments is implemented.

[0152] Figure 7 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are connected to each other through the bus 1050 in the device.

[0153] The processor 1010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0154] The memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0155] The input / output interface 1030 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0156] The communication interface 1040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0157] The bus 1050 includes a path that transmits information between the various components of the device (eg, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0158] It should be noted that, although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0159] The electronic device of the above embodiment is used to implement the evaluation method of the carbon emission performance of the corresponding enterprise in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0160] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method for evaluating the carbon emission performance of an enterprise as described in any of the above embodiments.

[0161] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0162] The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the method for evaluating the carbon emission performance of an enterprise as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0163] Based on the same concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a computer program product, including computer program instructions. When the computer program instructions are run on a computer, the computer executes the carbon emission performance evaluation method of the enterprise as described in any of the above embodiments, which has the beneficial effects of the corresponding method embodiments and will not be repeated here.

[0164] It should be noted that the embodiments of the present application can be further described in the following manner:

[0165] It is understandable that before using the technical solutions of each embodiment of the present disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved will be informed to the user in an appropriate manner, and the user's authorization will be obtained.

[0166] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly remind the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can independently choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0167] As an optional but non-limiting implementation, in response to receiving the user's active request, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0168] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0169] A person of ordinary skill in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present application is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of simplicity.

[0170] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present application difficult to understand, the known power supply / ground connection with the integrated circuit (IC) chip and other components may or may not be shown in the provided drawings. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present application difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform to be implemented in the embodiments of the present application (that is, these details should be fully within the scope of understanding of those skilled in the art). In the case of elaborating specific details (e.g., circuits) to describe exemplary embodiments of the present application, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details or when these specific details are changed. Therefore, these descriptions should be considered to be illustrative rather than restrictive.

[0171] Although the present application has been described in conjunction with specific embodiments of the present application, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0172] The embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the present application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present application should be included in the protection scope of the present application.

Claims

1. A method for evaluating the carbon emission performance of an enterprise, characterized in that: include: Acquire a plurality of carbon data corresponding to each carbon emission performance evaluation index of the enterprise, and for each evaluation index, calculate a plurality of index values ​​corresponding to the evaluation index based on the plurality of carbon data; The multiple subjective weights corresponding to each evaluation index are determined by using the hierarchical analysis method, and the multiple objective weights corresponding to each evaluation index are determined by using the entropy weight method based on the multiple index values ​​corresponding to each evaluation index; Based on the multiple subjective weights and the multiple objective weights corresponding to each evaluation indicator, multiple target weights corresponding to each evaluation indicator are calculated; Based on multiple target weights and multiple indicator values ​​corresponding to each evaluation indicator, the evaluation score of the carbon emission performance of the enterprise is determined using the superior and inferior solution distance method.

2. The method according to claim 1, characterized in that The evaluation index is the carbon input index, which includes the energy consumption intensity sub-indicator, the electrification degree sub-indicator, the green electricity ratio sub-indicator, the green certificate ratio sub-indicator and the green electricity and green certificate emission reduction contribution sub-indicator. The step of calculating, for each evaluation index, a plurality of index values ​​corresponding to the evaluation index based on the plurality of carbon data includes: Based on the total comprehensive energy consumption of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the energy consumption intensity sub-index is determined by the following formula: Among them, X 11 is the index value of the energy consumption intensity sub-index, TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; Based on the total electricity consumption of the enterprise in the year to be evaluated and the total comprehensive energy consumption of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the electrification degree sub-indicator is determined by the following formula: Among them, X 12 is the index value of the electrification degree sub-index, TotElec represents the total electricity consumption of the enterprise in the year to be evaluated, and TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated; Based on the total amount of green electricity purchased by the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green electricity proportion sub-indicator is calculated by the following formula: Among them, X 13 is the index value of the green electricity ratio sub-indicator, GP represents the total green electricity purchase volume of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; Based on the total amount of green certificates purchased by the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green certificate ratio sub-indicator is calculated by the following formula: Among them, X 14 is the index value of the green certificate ratio sub-indicator, GEC represents the total green certificate purchase volume of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; Based on the location-based scope 2 carbon emissions of the enterprise in the year to be evaluated and the market-based scope 2 carbon emissions of the enterprise in the year to be evaluated contained in the multiple carbon data, the indicator value of the green electricity green certificate emission reduction contribution sub-indicator is determined by the following formula: Among them, X 15 is the index value of the green electricity green certificate emission reduction contribution sub-indicator, Emi location Indicates the location-based Scope 2 carbon emissions of the company in the year to be evaluated, Emi market Represents the market-based Scope 2 carbon emissions of the company in the year to be evaluated.

3. The method according to claim 1, characterized in that The evaluation index is a carbon output index, which includes a carbon intensity sub-index and a carbon intensity change rate sub-index. The step of calculating, for each evaluation index, a plurality of index values ​​corresponding to the evaluation index based on the plurality of carbon data includes: Based on the total carbon emissions of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated included in the plurality of carbon data, the index value of the carbon intensity sub-index is determined by the following formula: Among them, X 21 is the index value of the carbon intensity sub-index, TotEmi represents the total carbon emissions of the enterprise in the year to be evaluated, and Inc represents the operating contribution of the enterprise in the year to be evaluated; Based on the carbon intensity of the enterprise in the year to be evaluated and the carbon intensity of the enterprise in the previous year of the year to be evaluated included in the multiple carbon data, the index value of the carbon intensity change rate sub-indicator is determined by the following formula: Among them, X 22 is the index value of the carbon intensity change rate sub-index, X 21_b represents the carbon intensity of the enterprise in the year to be evaluated, X 21_a It indicates the carbon intensity of the enterprise in the year before the year to be evaluated.

4. The method according to claim 1, characterized in that The evaluation index is a carbon transfer index, which includes a supplier green electricity ratio sub-indicator, a supplier green certificate ratio sub-indicator and a supplier carbon intensity sub-indicator. The step of calculating, for each evaluation index, a plurality of index values ​​corresponding to the evaluation index based on the plurality of carbon data includes: Based on the proportion of consumption purchased from suppliers to the total consumption of the enterprise and the proportion of green electricity consumption of suppliers to the total electricity consumption contained in the multiple carbon data, the indicator value of the sub-indicator of the proportion of green electricity of suppliers is determined by the following formula: X 31 =∑ i w i ×X 13_i , Among them, X 31 is the indicator value of the green electricity ratio sub-indicator of the supplier, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 13_i Represents the proportion of green electricity consumption of supplier i to total electricity consumption; Based on the proportion of consumption purchased from suppliers to the total consumption of the enterprise and the proportion of supplier green certificate consumption to the total electricity consumption contained in the multiple carbon data, the indicator value of the supplier green certificate proportion sub-indicator is determined by the following formula: X 32 =∑ i w i ×X 14_i , Among them, X 32 is the indicator value of the supplier green certificate ratio sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 14_i Represents the proportion of supplier i green certificate consumption to total electricity consumption; Based on the proportion of consumption purchased from suppliers in the total consumption of the enterprise and the carbon intensity of the supplier in the year to be evaluated, the indicator value of the supplier carbon intensity sub-indicator is determined by the following formula: X 33 =∑ i w i ×X 21_i , Among them, X 33 is the indicator value of the supplier’s carbon intensity sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 21_i Represents the carbon intensity of supplier i in the year to be evaluated.

5. The method according to claim 1, characterized in that: The evaluation index includes multiple sub-indicators. The method of using the analytic hierarchy process to determine the multiple subjective weights corresponding to each evaluation indicator includes: Constructing a judgment matrix corresponding to the evaluation index using a predetermined scaling method; Based on the judgment matrix, the initial subjective weight corresponding to each sub-indicator in the evaluation index is determined by the following formula: Among them, w 1j is the initial subjective weight of sub-indicator j, n1 is the order of the judgment matrix, a jz is an element in the judgment matrix, indicating the importance of sub-indicator j relative to sub-indicator z; In response to determining that the multiple initial subjective weights corresponding to the evaluation index pass the consistency test, the multiple initial subjective weights corresponding to the evaluation index are determined as the multiple subjective weights.

6. The method according to claim 1, characterized in that The evaluation index includes multiple sub-indicators. The method of determining multiple objective weights corresponding to each evaluation indicator by using an entropy weight method based on multiple indicator values ​​corresponding to each evaluation indicator includes: Based on the multiple indicator values ​​corresponding to the evaluation indicator, construct an indicator value matrix corresponding to the evaluation indicator; Based on the indicator value matrix, the objective weight corresponding to each sub-indicator in the evaluation indicator is determined by the following formula: Among them, w 2j is the subjective weight of sub-indicator j, E j is the information entropy of the sub-index j, p qj is the proportion of sub-indicator j corresponding to enterprise q, Y qj is an element in the indicator value matrix, representing the indicator value corresponding to the sub-indicator j of enterprise q after standardization, m is the total number of enterprises, and n2 is the total number of evaluation indicators.

7. The method according to claim 1, characterized in that The evaluation index includes multiple sub-indicators, each sub-indicator corresponds to a subjective weight and an objective weight. The step of calculating multiple target weights corresponding to each evaluation indicator based on multiple subjective weights and multiple objective weights corresponding to each evaluation indicator includes: In response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation indicator are the same, determining the subjective weight or the objective weight corresponding to each sub-indicator as a target weight corresponding to each sub-indicator; In response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation indicator are different, the target weight corresponding to each sub-indicator is determined by the following formula: Among them, W j is the target weight of sub-indicator j, w 1j is the initial subjective weight of the sub-indicator j, w 2j is the subjective weight of the sub-indicator j, and n2 is the total number of evaluation indicators.

8. The method according to claim 1, characterized in that: The evaluation index includes multiple sub-indicators. The method of determining the evaluation score of the carbon emission performance of the enterprise by using the superior and inferior solution distance method based on the multiple target weights and multiple indicator values ​​corresponding to each evaluation indicator includes: Based on a plurality of target weights and a plurality of indicator values ​​corresponding to the evaluation indicators, construct a weighted indicator value matrix corresponding to the evaluation indicators; Based on the weighted index value matrix, the evaluation score is determined by the following formula: Among them, C q is the evaluation score of enterprise q, V qj is an element in the weighted index value matrix, representing the weighted index value of sub-indicator j in enterprise q, A+ is the positive ideal solution of sub-indicator j, A- is the negative ideal solution of sub-indicator j, and n2 is the total number of evaluation indicators.

9. An evaluation device for carbon emission performance of an enterprise, characterized in that: include: A first calculation module is configured to obtain a plurality of carbon data corresponding to each carbon emission performance evaluation index of the enterprise, and for each evaluation index, calculate a plurality of index values ​​corresponding to the evaluation index based on the plurality of carbon data; A first determination module is configured to determine a plurality of subjective weights corresponding to each evaluation indicator by using a hierarchical analysis method, and to determine a plurality of objective weights corresponding to each evaluation indicator by using an entropy weight method based on a plurality of indicator values ​​corresponding to each evaluation indicator; A second calculation module is configured to calculate a plurality of target weights corresponding to each evaluation indicator based on a plurality of subjective weights and a plurality of objective weights corresponding to each evaluation indicator; The second determination module is configured to determine the evaluation score of the carbon emission performance of the enterprise by using the superior and inferior solution distance method based on multiple target weights and multiple indicator values ​​corresponding to each evaluation indicator.

10. The device according to claim 9, characterized in that The evaluation index is the carbon input index, which includes the energy consumption intensity sub-indicator, the electrification degree sub-indicator, the green electricity ratio sub-indicator, the green certificate ratio sub-indicator and the green electricity and green certificate emission reduction contribution sub-indicator. The first computing module is further configured to: Based on the total comprehensive energy consumption of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated included in the multiple carbon data, the index value of the energy consumption intensity sub-index is determined by the following formula: Among them, X 11 is the index value of the energy consumption intensity sub-index, TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated, and Inc represents the business contribution of the enterprise in the year to be evaluated; Based on the total electricity consumption of the enterprise in the year to be evaluated and the total comprehensive energy consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the electrification degree sub-index is determined by the following formula: Among them, X 12 is the index value of the electrification degree sub-index, TotElec represents the total electricity consumption of the enterprise in the year to be evaluated, and TotEn represents the total comprehensive energy consumption of the enterprise in the year to be evaluated; Based on the total amount of green electricity purchased by the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green electricity proportion sub-indicator is calculated by the following formula: Among them, X 13 is the index value of the green electricity ratio sub-indicator, GP represents the total green electricity purchase volume of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; Based on the total amount of green certificates purchased by the enterprise in the year to be evaluated and the total electricity consumption of the enterprise in the year to be evaluated contained in the multiple carbon data, the index value of the green certificate ratio sub-indicator is calculated by the following formula: Among them, X 14 is the index value of the green certificate ratio sub-indicator, GEC represents the total green certificate purchase volume of the enterprise in the year to be evaluated, and TotElec represents the total electricity consumption of the enterprise in the year to be evaluated; Based on the location-based scope 2 carbon emissions of the enterprise in the year to be evaluated and the market-based scope 2 carbon emissions of the enterprise in the year to be evaluated contained in the multiple carbon data, the indicator value of the green electricity green certificate emission reduction contribution sub-indicator is determined by the following formula: Among them, X 15 is the index value of the green electricity green certificate emission reduction contribution sub-indicator, Emi location Indicates the location-based Scope 2 carbon emissions of the company in the year to be evaluated, Emi market Represents the market-based Scope 2 carbon emissions of the company in the year to be evaluated.

11. The device according to claim 9, characterized in that The evaluation index is a carbon output index, which includes a carbon intensity sub-index and a carbon intensity change rate sub-index. The first computing module is further configured to: Based on the total carbon emissions of the enterprise in the year to be evaluated and the business contribution of the enterprise in the year to be evaluated included in the plurality of carbon data, the index value of the carbon intensity sub-index is determined by the following formula: Among them, X 21 is the index value of the carbon intensity sub-index, TotEmi represents the total carbon emissions of the enterprise in the year to be evaluated, and Inc represents the operating contribution of the enterprise in the year to be evaluated; Based on the carbon intensity of the enterprise in the year to be evaluated and the carbon intensity of the enterprise in the previous year of the year to be evaluated included in the multiple carbon data, the index value of the carbon intensity change rate sub-indicator is determined by the following formula: Among them, X 22 is the index value of the carbon intensity change rate sub-index, X 21_b represents the carbon intensity of the enterprise in the year to be evaluated, X 21_a It indicates the carbon intensity of the enterprise in the year before the year to be evaluated.

12. The device according to claim 9, characterized in that The evaluation index is a carbon transfer index, which includes a supplier green electricity ratio sub-indicator, a supplier green certificate ratio sub-indicator and a supplier carbon intensity sub-indicator. The first computing module is further configured to: Based on the proportion of consumption purchased from suppliers to the total consumption of the enterprise and the proportion of green electricity consumption of suppliers to the total electricity consumption contained in the multiple carbon data, the indicator value of the sub-indicator of the proportion of green electricity of suppliers is determined by the following formula: X 31 =∑ i w i ×X 13_i , Among them, X 31 is the indicator value of the green electricity ratio sub-indicator of the supplier, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 13_i Represents the proportion of green electricity consumption of supplier i to total electricity consumption; Based on the proportion of consumption purchased from suppliers to the total consumption of the enterprise and the proportion of supplier green certificate consumption to the total electricity consumption contained in the multiple carbon data, the indicator value of the supplier green certificate proportion sub-indicator is determined by the following formula: X 32 =∑ i w i ×X 14_i , Among them, X 32 is the indicator value of the supplier green certificate ratio sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 14_i Represents the proportion of supplier i green certificate consumption to total electricity consumption; Based on the proportion of consumption purchased from suppliers in the total consumption of the enterprise and the carbon intensity of the supplier in the year to be evaluated, the indicator value of the supplier carbon intensity sub-indicator is determined by the following formula: X 33 =∑ i w i ×X 21_i , Among them, X 33 is the indicator value of the supplier’s carbon intensity sub-indicator, w i represents the proportion of consumption purchased from supplier i to the total consumption of the enterprise, X 21_i Represents the carbon intensity of supplier i in the year to be evaluated.

13. The device according to claim 9, characterized in that The evaluation index includes multiple sub-indicators. The first determining module is further configured to: Constructing a judgment matrix corresponding to the evaluation index using a predetermined scaling method; Based on the judgment matrix, the initial subjective weight corresponding to each sub-indicator in the evaluation index is determined by the following formula: Among them, w 1j is the initial subjective weight of sub-indicator j, n1 is the order of the judgment matrix, a jz is an element in the judgment matrix, indicating the importance of sub-indicator j relative to sub-indicator z; In response to determining that the multiple initial subjective weights corresponding to the evaluation index pass the consistency test, the multiple initial subjective weights corresponding to the evaluation index are determined as the multiple subjective weights.

14. The device according to claim 9, characterized in that The evaluation index includes multiple sub-indicators. The first determining module is further configured to: Based on the multiple indicator values ​​corresponding to the evaluation indicator, construct an indicator value matrix corresponding to the evaluation indicator; Based on the indicator value matrix, the objective weight corresponding to each sub-indicator in the evaluation indicator is determined by the following formula: Among them, w 2j is the subjective weight of sub-indicator j, E j is the information entropy of the sub-index j, p qj is the proportion of sub-indicator j corresponding to enterprise q, Y qj is an element in the indicator value matrix, representing the indicator value corresponding to the sub-indicator j of enterprise q after standardization, m is the total number of enterprises, and n2 is the total number of evaluation indicators.

15. The device according to claim 9, characterized in that The evaluation index includes multiple sub-indicators, each sub-indicator corresponds to a subjective weight and an objective weight. The second determining module is further configured to: In response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation indicator are the same, determining the subjective weight or the objective weight corresponding to each sub-indicator as a target weight corresponding to each sub-indicator; In response to determining that the subjective weight and the objective weight corresponding to the same sub-indicator in the evaluation indicator are different, the target weight corresponding to each sub-indicator is determined by the following formula: Among them, W j is the target weight of sub-indicator j, w 1j is the initial subjective weight of the sub-indicator j, w 2j is the subjective weight of the sub-indicator j, and n2 is the total number of evaluation indicators.

16. The device according to claim 9, characterized in that The evaluation index includes multiple sub-indicators. The second determining module is further configured to: Based on a plurality of target weights and a plurality of indicator values ​​corresponding to the evaluation indicators, construct a weighted indicator value matrix corresponding to the evaluation indicators; Based on the weighted index value matrix, the evaluation score is determined by the following formula: Among them, C q is the evaluation score of enterprise q, V qj is an element in the weighted index value matrix, representing the weighted index value of sub-indicator j in enterprise q, A+ is the positive ideal solution of sub-indicator j, A- is the negative ideal solution of sub-indicator j, and n2 is the total number of evaluation indicators.

17. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 8 is implemented.

18. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 8.

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