CN115660511A - Enterprise green grade evaluation method and device based on carbon efficiency - Google Patents

Enterprise green grade evaluation method and device based on carbon efficiency Download PDF

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CN115660511A
CN115660511A CN202211687994.XA CN202211687994A CN115660511A CN 115660511 A CN115660511 A CN 115660511A CN 202211687994 A CN202211687994 A CN 202211687994A CN 115660511 A CN115660511 A CN 115660511A
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carbon
enterprise
industry
green
index
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黄炜
王诚
邬梦晓俊
肖相泽
张天佑
魏丹青
叶津宏
王逸伦
吴海泽
俞明东
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Zhejiang Economic Information Center Zhejiang Price Research Institute
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract

The application provides an enterprise green grade evaluation method and device based on carbon efficiency. The method comprises the steps of processing the industry to which a target enterprise belongs and the industry to which the target enterprise belongs based on a preset industry index scoring algorithm to obtain an industry index score; determining the carbon index score of a target enterprise based on a mapping table of a preset carbon index score and carbon intensity ratio interval; determining the energy consumption index score of a target enterprise based on a preset mapping table of the energy consumption index score and energy consumption intensity ratio interval; obtaining green operation index scores corresponding to the number of operation indexes meeting the green operation indexes and green management index scores corresponding to the number of management indexes meeting the green management indexes by adopting a preset scoring mode; and determining the green grade score of the target enterprise and the green grade of the corresponding enterprise based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score. The method improves the accuracy of enterprise green grade evaluation.

Description

Enterprise green grade evaluation method and device based on carbon efficiency
Technical Field
The application relates to the technical field of data processing, in particular to a method and a device for evaluating the green grade of an enterprise based on carbon efficiency.
Background
Under the carbon peak carbon neutralization background, the enterprise green grade evaluation based on carbon efficiency has more and more demands in the enterprise green low-carbon high-quality development work. Carbon efficiency is generally used to characterize carbon productivity, which refers to the economic output level of a unit of carbon dioxide emission of an enterprise, such as GDP or product yield per unit of carbon dioxide emission produced by the enterprise. At present, the comprehensive green evaluation of enterprises takes an enterprise environment, society, management (ESG) rating system and enterprise carbon performance as representatives, and the sustainable development performance of the enterprises and organizations is measured. The ESG rating system is based on three dimensions of environment, society and governance, and specific indexes of subdivision are designed according to the characteristics of the industry where an enterprise is located, so that the ESG index system and the rating method are formed. The establishment of an enterprise ESG rating system requires a large amount of data support, and meanwhile, the ESG quantitative and qualitative data of enterprises and public opinion penalty information and the like need to be collected. The ESG rating index systems adopted by international mainstream ESG rating organizations are different, such as an MSCI ESG rating index system, a Rich Timentin ESG rating index system, a Toxon road penetration ESG rating index system and the like, and the rating index systems are respectively refined from three dimensions of environment, society and treatment to a second level index, a third level index and a fourth level index layer by layer. The secondary indexes under the environmental dimension are generally classified into environmental management, climate change, emission management and the like, and the weight of an index system is determined by adopting a statistical average method (an expert scoring method), an analytic hierarchy process and the like. The carbon performance of the enterprise is developed from the performance evaluation of the enterprise, and the carbon performance is expanded to the environmental field in performance evaluation index systems such as financial indexes of a DuPont analysis system and balance scorecard of carplan, so that an evolution path of a 'single technical index-fusion index-index system' is formed. However, the international survey report of enterprise sustainability published in 2010 by the bimawal accountant institute indicates that only about 3% of companies report on the carbon performance fusion level, and most companies only combine the sustainable reports and the financial reports, so that the economic impact of carbon emission reduction activities on the enterprises cannot be known, and whether the enterprises achieve improvement of carbon efficiency by means of technical means and the like cannot be judged. With the development of carbon performance index systems, there are various carbon performance rating systems such as index systems which integrate carbon strength, carbon dependence, carbon disclosure and carbon risk, and index systems which deviate from low carbon levels, sustainability of low carbon levels, and low carbon activity. In summary, the existing methods for evaluating the greenness of an enterprise include an ESG evaluation method and a carbon performance evaluation method:
for the ESG evaluation method, firstly, the carbon effect influence is too low in the evaluation result, the evaluation result comprises three dimensions of environment, society and treatment, the indexes related to carbon emission are only used as a small part of the indexes of the influence of climate change in the environment dimension, even if weight adjustment and index system subdivision exist, the final evaluation result is difficult to reflect the carbon effect condition of an enterprise in a key way, and the result obtained by the ESG evaluation method is difficult to obtain when the government, financial institution or enterprise needs to evaluate the green low-carbon development condition of the enterprise under the double-carbon background, so that the influence of the carbon effect condition change of the enterprise on the green color of the enterprise is accurately captured; secondly, the coverage of indexes related to carbon efficiency is relatively limited, and the existing ESG evaluation method only generally comprises indexes such as carbon emission, carbon strength and the like, so that the carbon efficiency change of an enterprise is difficult to be comprehensively reflected; thirdly, the ESG evaluation method is not strong in applicability for evaluating the greenness of enterprises, needs to disclose a large amount of environmental information and enterprise related information, and can well meet the disclosure requirements only by large enterprises such as listed companies, so that the evaluation method is difficult to have good universality and accuracy.
For the carbon performance evaluation method, firstly, the carbon performance evaluation index lacks wide applicability, and the carbon performance index formed by refining the existing national level evaluation index does not consider the difference of industrial production and the operability of enterprises, so the research results are possibly suitable for external green evaluation but not suitable for internal evaluation of enterprises; secondly, the selection of the carbon performance evaluation indexes has certain randomness, and when an index system is designed, due to the lack of practical data, the information quantity provided by each index is difficult to be fully considered, and the acquirability of the indexes is difficult to be ensured; thirdly, whether the carbon efficiency of an enterprise is proper is reflected by using financial indexes, a large dispute still exists in the academic world, and the existing performance evaluation model is not suitable for the carbon performance, so that the accuracy of the carbon performance evaluation method result is questioned.
In summary, both the ESG evaluation method and the carbon performance evaluation method generally have a problem of low evaluation accuracy.
Disclosure of Invention
An embodiment of the present application aims to provide a method and an apparatus for evaluating an enterprise green grade based on carbon efficiency, so as to solve the above problems in the prior art, and accurately evaluate the enterprise green grade.
In a first aspect, a method for evaluating the green grade of an enterprise based on carbon efficiency is provided, and the method may include:
processing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs based on a preset industry index scoring algorithm to obtain an industry index score;
acquiring the enterprise carbon intensity of the target enterprise and the average carbon intensity of the industry to which the target enterprise belongs, and determining a carbon index score corresponding to a first ratio of the average carbon intensity to the enterprise carbon intensity based on a mapping table of a preset carbon index score-carbon intensity ratio interval;
acquiring enterprise energy consumption intensity of the target enterprise and average energy consumption intensity of the industry to which the target enterprise belongs, and determining an energy consumption index score corresponding to a second ratio of the average energy consumption intensity to the enterprise energy consumption intensity based on a mapping table of a preset energy consumption index score to energy consumption intensity ratio interval;
determining the number of operation indexes of the target enterprise, which accord with green operation indexes, and the number of management indexes of the target enterprise, which accord with green management indexes, and obtaining a green operation index score corresponding to the number of the operation indexes and a green management index score corresponding to the number of the management indexes by adopting a preset scoring mode;
and determining the green grade score of the target enterprise and the enterprise green grade corresponding to the green grade score based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score.
In a second aspect, an enterprise green level evaluation device based on carbon efficiency is provided, and the device may include:
the acquisition unit is used for processing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs based on a preset industry index scoring algorithm to obtain an industry index score;
acquiring the enterprise carbon strength of the target enterprise and the average carbon strength of the industry to which the target enterprise belongs;
the determining unit is used for determining a carbon index score corresponding to a first ratio of the average carbon intensity to the enterprise carbon intensity based on a mapping table of a preset carbon index score-carbon intensity ratio interval;
the acquisition unit is further used for acquiring the enterprise energy consumption intensity of the target enterprise and the average energy consumption intensity of the industry to which the target enterprise belongs;
the determining unit is further configured to determine, based on a preset mapping table of the energy consumption index score and the energy consumption intensity ratio interval, an energy consumption index score corresponding to a second ratio of the average energy consumption intensity to the enterprise energy consumption intensity;
determining the number of operation indexes of the target enterprise, which accord with green operation indexes, and the number of management indexes of the target enterprise, which accord with green management indexes;
the acquisition unit is further used for acquiring green operation index scores corresponding to the operation index number and green management index scores corresponding to the management index number by adopting a preset scoring mode;
the determining unit is further configured to determine a green grade score of the target enterprise and an enterprise green grade corresponding to the green grade score based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score.
In a third aspect, an electronic device is provided, which includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
a processor adapted to perform the method steps of any of the above first aspects when executing a program stored in the memory.
In a fourth aspect, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of the above-mentioned first aspects.
According to the enterprise green grade evaluation method based on carbon efficiency, the industry and the industry to which a target enterprise belongs are processed based on a preset industry index scoring algorithm to obtain an industry index score; after the enterprise carbon intensity of a target enterprise and the average carbon intensity of the industry to which the target enterprise belongs are obtained, determining a carbon index score corresponding to a first ratio of the average carbon intensity to the enterprise carbon intensity by using a mapping table of a preset carbon index score-carbon intensity ratio interval; after the enterprise energy consumption intensity of the target enterprise and the average energy consumption intensity of the industry to which the target enterprise belongs are obtained, determining an energy consumption index score corresponding to a second ratio of the average energy consumption intensity to the enterprise energy consumption intensity by using a mapping table based on a preset energy consumption index score-energy consumption intensity ratio interval; determining the number of operation indexes of a target enterprise, which accord with the green operation indexes, and the number of management indexes of the target enterprise, which accord with the green management indexes, and obtaining a green operation index score corresponding to the number of the operation indexes and a green management index score corresponding to the number of the management indexes by adopting a preset scoring mode; and determining the green grade score of the target enterprise and the green grade of the corresponding enterprise based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score. According to the method, the problems that when the green development condition of an enterprise is evaluated, due to the fact that the quantitative analysis and tracking of the green color change degree of the enterprise are difficult, the carbon effect development condition of the enterprise is difficult to focus under the carbon peak carbon neutral and background condition, and different enterprise types are difficult to recognize according to the actual industry development condition of the enterprise, the accurate evaluation of the green grade condition of the enterprise is influenced are solved by obtaining the industry index, the carbon index, the energy consumption index score, the green operation index and the green management index of the enterprise, and the accuracy of the green grade evaluation of the enterprise is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of an enterprise green grade evaluation method based on carbon efficiency according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an enterprise green grade evaluation device based on carbon efficiency according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without any creative effort belong to the protection scope of the present application.
Under the background of carbon peak carbon neutralization, the enterprise green grade evaluation based on carbon efficiency has more and more demands in the enterprise green low-carbon high-quality development work. If the financial institution needs to evaluate the greenness of the enterprise when promoting green financial work, further judging whether the enterprise has low-carbon development potential, and issuing a green financial loan to the enterprise by referring to the green level of the enterprise; enterprises also need an evaluation method to know the self green low-carbon development condition of the enterprises through quantitative evaluation results.
At present, the comprehensive green evaluation of enterprises is represented by an enterprise environment, society and management (ESG) rating system, the sustainable development performance of enterprises and organizations is measured, and based on three dimensions of environment, society and management, detailed indexes of segmentation are designed according to the characteristics of the enterprises in the industry, and an ESG index system and a rating method are formed. The establishment of an enterprise ESG rating system needs a large amount of data support, and meanwhile, ESG quantitative and qualitative data of enterprises and public opinion penalty information need to be collected. The ESG rating index systems adopted by the international mainstream ESG rating organization are different, such as an MSCI ESG rating index system, a Rich-Times element ESG rating index system, a Toxon road penetration ESG rating index system and the like, and the rating index systems are refined to a secondary index, a tertiary index and a quaternary index layer by layer from three dimensions of environment, society and treatment. The secondary indexes under the environmental dimension are generally classified into environmental management, climate change, emission management and the like, and the weight of an index system is determined by adopting a statistical average method (an expert scoring method), an analytic hierarchy process and the like. The existing method for evaluating the greenness of an enterprise comprises an ESG evaluation method and a carbon performance evaluation method:
however, both the ESG evaluation method and the carbon performance evaluation method generally have a problem of low evaluation accuracy.
The enterprise green grade evaluation method based on carbon efficiency provided by the embodiment of the application can be applied to a server and can also be applied to a terminal. The server may be a physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, content Delivery Network (CDN), big data, an artificial intelligence platform, and the like. The Terminal may be a User Equipment (UE) such as a Mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), etc. with high computing power, a handheld device, a vehicle-mounted device, a wearable device, a computing device or other processing device connected to a wireless modem, a Mobile Station (MS), a Mobile Terminal (Mobile Terminal), etc. The terminal and the server may be directly or indirectly connected through a limited or wireless communication manner, which is not limited herein.
That is to say, the carbon efficiency-based enterprise green grade evaluation method provided by the embodiment of the application can solve the problems that the accurate evaluation of the enterprise green grade condition is influenced due to the difficulty in quantitatively analyzing and tracking the change degree of the green color of the enterprise, the difficulty in focusing the carbon efficiency development condition of the enterprise in the carbon peak carbon and in the background and the difficulty in identifying different enterprise types according to the actual industry development condition of the enterprise when evaluating the enterprise green development condition, and improves the accuracy of the enterprise green grade evaluation.
Furthermore, the quantitative analysis can be carried out on the green development of the enterprise based on the carbon efficiency level of the enterprise, and the scientific and accurate evaluation can be carried out on the green of the enterprise by referring to the real situation of the industry where the enterprise is located.
The preferred embodiments of the present application will be described below with reference to the accompanying drawings of the specification, it should be understood that the preferred embodiments described herein are merely for illustrating and explaining the present application, and are not intended to limit the present application, and that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Fig. 1 is a schematic flow chart of an enterprise green grade evaluation method based on carbon efficiency according to an embodiment of the present application. As shown in fig. 1, the method may include:
and S110, processing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs based on a preset industry index scoring algorithm to obtain an industry index score.
In specific implementation, the industry to which the target enterprise belongs and the industry to which the target enterprise belongs are analyzed to obtain the industry index information corresponding to the target enterprise; and processing the obtained industry index information based on a preset industry index scoring algorithm to obtain an industry index score, wherein the industry index information can comprise that a target enterprise is a high-carbon industry or a low-carbon industry and whether the target enterprise belongs to a green industry in the Green industry guide catalog. Specifically, whether the enterprise belongs to the high-carbon industry and the low-carbon industry of our province or not and whether the enterprise belongs to the green industry in the green industry guide catalog or not is judged according to the industry to which the enterprise belongs and the industry to which the enterprise belongs, and corresponding scores are given on the basis. Different scoring intervals correspond to different industry index grades.
In some embodiments, the predetermined industry index scoring algorithm has a calculation formula represented as:
industry index score x 1 =(A i +B i +C i )/3×100;
Wherein, i is 0 and 1,i =0 indicates "yes", i =1 indicates "not yes"; a represents that the enterprise is a high carbon industry; b represents that the enterprise is in the low-carbon industry; c represents that the enterprise belongs to the green industry in the Green industry guidance catalog; when i =0, A 0 The target enterprise is high carbon industry, and the value is 0; b 0 The target enterprise is expressed as a low-carbon industry, and the value of the target enterprise is 1; c 0 Indicating that the target enterprise belongs to green industry in the green industry guide catalog, and the value is =1; i =1, A 1 The target enterprise is not a high carbon industry and has a value of 1; b is 1 Indicates that the target enterprise is not a low carbon industry, whichA value of 0; c 1 Indicating that the target enterprise does not belong to the green industry in the green industry guidance catalog, the value is =0.
And step S120, determining the carbon index score of the target enterprise based on the enterprise carbon strength of the target enterprise and the average carbon strength of the industry to which the target enterprise belongs.
The carbon emission amount and the carbon emission intensity of an enterprise need to be calculated, the average carbon emission intensity of the industry of the enterprise and the carbon efficiency level of the enterprise in the industry are evaluated, and therefore the carbon index score x of the enterprise is comprehensively obtained 3
In specific implementation, the enterprise carbon strength of the target enterprise and the average carbon strength of the industry to which the target enterprise belongs need to be obtained first, specifically: acquiring the enterprise carbon emission of a target enterprise based on the carbon dioxide emission corresponding to terminal consumption energy, namely acquiring the enterprise carbon emission of the target enterprise based on the carbon dioxide emission corresponding to terminal consumption of different energy varieties;
determining the ratio of the enterprise carbon emission of the target enterprise to the enterprise added value of the target enterprise as the enterprise carbon intensity of the target enterprise; acquiring carbon emission of enterprises in the whole society, and determining the ratio of the carbon emission of the enterprises in the whole society to the added value of the enterprises in the whole society as the carbon intensity of the enterprises in the whole society; and acquiring the carbon strength and the corresponding average carbon strength of each enterprise of the industry to which the target enterprise belongs based on the carbon strength of each enterprise in the whole society.
In one example, the formula for calculating the carbon emissions of the enterprise is expressed as: enterprise carbon emission amount =sigma (Activity) i,j ×EF i,j );
In the formula, activity represents consumption of different types of terminal energy, wherein the consumption (standard quantity) of fossil energy is obtained by multiplying physical quantity data by a corresponding conversion coefficient, and the reference coefficient of various energy converted standard coals is consistent with a provincial peak-reaching scheme; i represents energy varieties of different fuel types, including energy varieties of coal, oil products, natural gas and electric power, and j represents different industry types; EF denotes the carbon dioxide emission factor for different energy varieties. The carbon dioxide emission factor is specifically selected from the latest national greenhouse gas clean single rowFactor discharge data for 2.66 ton CO in coal 2 One ton of standard coal with 1.73 ton of CO 2 Per ton of standard coal, 1.56 tons of natural gas CO 2 Per ton of standard coal. The electric power emission factor adopts the provincial power grid average emission factor.
The formula for calculating the carbon intensity of the target enterprise can be expressed as follows: enterprise carbon intensity CE = enterprise carbon emission CO 2 Enterprise added value EVA.
Then, based on a preset mapping table of the ratio interval of the carbon index score to the carbon intensity, determining a carbon index score x corresponding to a first ratio of the average carbon intensity of the industry to which the target enterprise belongs to the enterprise carbon intensity of the target enterprise (namely the carbon intensity ratio of the target enterprise) 3 . Carbon index score x 3 = average carbon intensity CE/business carbon intensity CE.
In some embodiments, the mapping table of the preset carbon index score to carbon intensity ratio interval may be as follows:
Figure P_221227150613014_014898001
it should be noted that the carbon intensity ratio interval and the corresponding carbon index score in the mapping table of the carbon index score and the carbon intensity ratio interval may be flexibly configured according to actual requirements, and the embodiment of the present application is not limited herein.
And S130, determining the energy consumption index score of the target enterprise based on the enterprise energy consumption intensity of the target enterprise and the average energy consumption intensity of the industry to which the target enterprise belongs.
And obtaining the average energy consumption intensity of the industry of the enterprise according to the industry energy consumption amount and the added value specified by the statistical bureau. And obtaining enterprise energy consumption index values according to the enterprise energy consumption intensity, wherein different enterprise energy consumption index value intervals correspond to different enterprise energy consumption scores.
In specific implementation, the enterprise energy consumption intensity of a target enterprise and the average energy consumption intensity of the industry to which the target enterprise belongs are obtained, and the average energy consumption intensity of the industry to which the target enterprise belongs are determined based on a mapping table of a preset energy consumption index score and energy consumption intensity ratio intervalThe energy consumption index score x corresponding to the second ratio of the enterprise energy consumption intensity of the target enterprise (namely the energy consumption intensity ratio of the target enterprise) 4
The calculation formula of the energy consumption intensity of the enterprise can be expressed as follows:
enterprise energy consumption intensity EE = enterprise energy consumption E/enterprise added value EVA;
the calculation formula of the energy consumption index score can be expressed as:
energy consumption index scoring x 4 = average energy consumption intensity EE/enterprise energy consumption intensity EE;
the preset mapping table of the energy consumption index score to energy consumption intensity ratio interval may be as follows:
Figure P_221227150613109_109172001
it should be noted that, the energy consumption intensity ratio interval in the mapping table and the corresponding energy consumption index score may be flexibly configured according to actual requirements, and the embodiment of the present application is not limited herein.
And step S140, determining the green management index score and the green operation index score of the target enterprise based on the enterprise information of the target enterprise.
Refer to 'Green technology popularization catalogue', 'national key energy-saving low-carbon technology popularization catalogue', etc., and combine the green operation behaviors of enterprises, such as using clean energy, recycling, etc. And assigning scores to corresponding behaviors, and obtaining different scores according to the intervals. And (4) comprehensively considering the green related management system making conditions of the enterprises to obtain different scores.
In specific implementation, operation files of a target enterprise are inquired to obtain the number of operation indexes of the target enterprise, wherein the operation indexes conform to green operation indexes; and inquiring the management file of the target enterprise to obtain the number of the management indexes of the target enterprise, which accord with the green management indexes.
The number of the operation indexes meeting the green operation index can be the number of the operation indexes meeting the green operation specified in the operation file, and can also be the number of target operation indexes of which the operation duration meets preset duration in the specified operation indexes meeting the green operation; correspondingly, the number of the management indexes meeting the green management index can be the number of the management indexes meeting the green management specified in the management file, and can also be the number of the target management indexes with the management duration meeting the preset time length in the specified management indexes meeting the green management.
Then, processing the number of the operation indexes and the number of the management indexes by adopting a preset scoring mode to obtain a green operation index score x corresponding to the number of the operation indexes 4 Green management index score x corresponding to the number of management indexes 5
The preset scoring mode may include checking a mapping relationship between the operation index number interval and the green operation index score and checking a mapping relationship between the management index number interval and the green management index score, that is, checking a mapping relationship between the operation index number interval and the green operation index score to obtain a green operation index score corresponding to the operation index number; and checking the mapping relation between the management index number interval and the green management index score to obtain the green management index score corresponding to the management index number.
In an example, the mapping relationship between the operation index number interval and the green operation index score may be shown in the following table:
Figure P_221227150613171_171698001
in an example, the mapping relationship between the management index number interval and the green management index score can be shown in the following table:
Figure P_221227150613241_241981001
it should be noted that the number intervals and the corresponding index scores in the two mapping tables may be flexibly configured according to actual requirements, and the embodiment of the present application is not limited herein.
And S150, determining a green grade score of the target enterprise and an enterprise green grade corresponding to the green grade score based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score.
And obtaining green grade scores on the basis of the five groups of scores, and dividing the green grade scores according to different score intervals.
In specific implementation, the configured weighting coefficients of the scores of the indexes are obtained, specifically, different weighting coefficients are given to the indexes according to the condition that the carbon efficiency quantitative index is taken as a core and the carbon efficiency characteristics of the industry, the green operation and the green management of enterprises are considered, or different weighting coefficients can be given to the indexes according to a real-time carbon efficiency system.
Weighting the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score with the weight coefficients of the corresponding index scores to obtain the green grade score of the target enterprise; for example, green scale score Y = = 0.1x 1 + 0.35x 2 + 0.35x 3 + 0.1×x 4 + 0.1×x 5
And determining the enterprise green grade corresponding to the green grade of the target enterprise based on the preset green grade grading interval and the mapping table of the enterprise green grade.
The mapping table of the preset green grade scoring interval and the enterprise green grade can be shown as the following table:
Figure P_221227150613320_320123001
in some embodiments, the content of the enterprise industry index and the carbon index is extracted to obtain the carbon efficiency condition of the enterprise industry, namely whether the industry of the enterprise belongs to the high-carbon industry or the low-carbon industry; and the level of carbon efficiency of the enterprise in the industry (carbon efficiency level), namely the carbon index score of the enterprise.
Through comprehensive evaluation of the two indexes, enterprises can be divided into the following four categories:
and (3) encouraging development of enterprises: belongs to the low carbon industry, and is an enterprise with the carbon index rating of two or more levels;
low-carbon transformation type enterprises: belongs to the high carbon industry, and is an enterprise with the carbon index rating of four grades or more;
encouraging performance-promoting enterprises: enterprises belonging to the low carbon industry, with carbon index ratings of three levels and below, and not belonging to either the low carbon or high carbon industry;
constraint development type enterprises: belongs to the high carbon industry, and the carbon index is rated as five grades or less.
Specifically, based on a mapping table of an industry index grading interval and an industry index grade, determining the industry index grade corresponding to the industry index grade, wherein the industry index grade can comprise a low-carbon industry grade and a high-carbon industry grade;
determining the carbon index enterprise level of the target enterprise corresponding to the carbon index score based on the mapping table of the carbon index score interval and the carbon index enterprise level; based on the industry index level and the carbon index enterprise level, the enterprise type of the target enterprise is determined.
In one example, carbon effect codes of some enterprises in Zhejiang province are compared with green level ratings obtained by the carbon effect-based enterprise green level evaluation method of the present application, as shown in the following table:
Figure T_221227150613382_382626001
the results are shown in the table below, and the evaluation results based on the carbon efficiency-based enterprise green grade evaluation method have no obvious conflict with the grading results of the industrial carbon efficiency codes, which shows that the carbon efficiency-based enterprise green grade evaluation method is reasonable.
Corresponding to the foregoing method, an embodiment of the present application further provides an enterprise green grade evaluation apparatus based on carbon efficiency, and as shown in fig. 2, the apparatus includes:
the obtaining unit 210 is configured to process an industry to which the target enterprise belongs and an industry to which the target enterprise belongs based on a preset industry index scoring algorithm, so as to obtain an industry index score;
acquiring the enterprise carbon strength of the target enterprise and the average carbon strength of the industry to which the target enterprise belongs;
the determining unit 220 is configured to determine, based on a preset mapping table of a carbon index score-carbon intensity ratio interval, a carbon index score corresponding to a first ratio of the average carbon intensity to the enterprise carbon intensity;
the obtaining unit 210 is further configured to obtain an enterprise energy consumption intensity of the target enterprise and an average energy consumption intensity of an industry to which the target enterprise belongs;
the determining unit 220 is further configured to determine, based on a preset mapping table of an energy consumption index score and energy consumption intensity ratio interval, an energy consumption index score corresponding to a second ratio of the average energy consumption intensity to the enterprise energy consumption intensity;
determining the number of operation indexes of the target enterprise, which accord with the green operation indexes, and the number of management indexes of the target enterprise, which accord with the green management indexes;
the obtaining unit 210 is further configured to obtain a green operation index score corresponding to the number of operation indexes and a green management index score corresponding to the number of management indexes by using a preset scoring mode;
the determining unit 220 is further configured to determine a green grade score of the target enterprise and an enterprise green grade corresponding to the green grade score based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score.
The functions of the functional units of the carbon efficiency-based enterprise green grade evaluation device provided in the embodiment of the present application can be implemented through the method steps described above, and therefore, the specific working processes and beneficial effects of the units of the carbon efficiency-based enterprise green grade evaluation device provided in the embodiment of the present application are not repeated herein.
The embodiment of the present application further provides an electronic device, as shown in fig. 3, including a processor 310, a communication interface 320, a memory 330, and a communication bus 340, where the processor 310, the communication interface 320, and the memory 330 complete communication with each other through the communication bus 340.
A memory 330 for storing a computer program;
the processor 310, when executing the program stored in the memory 330, implements the following steps:
processing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs based on a preset industry index scoring algorithm to obtain an industry index score;
acquiring the enterprise carbon intensity of the target enterprise and the average carbon intensity of the industry to which the target enterprise belongs, and determining a carbon index score corresponding to a first ratio of the average carbon intensity to the enterprise carbon intensity based on a mapping table of a preset carbon index score-carbon intensity ratio interval;
acquiring enterprise energy consumption intensity of the target enterprise and average energy consumption intensity of the industry to which the target enterprise belongs, and determining an energy consumption index score corresponding to a second ratio of the average energy consumption intensity to the enterprise energy consumption intensity based on a mapping table of a preset energy consumption index score to energy consumption intensity ratio interval;
determining the number of operation indexes of a target enterprise, which accord with green operation indexes, and the number of management indexes of the target enterprise, which accord with green management indexes, and obtaining a green operation index score corresponding to the number of the operation indexes and a green management index score corresponding to the number of the management indexes by adopting a preset scoring mode;
and determining the green grade score of the target enterprise and the enterprise green grade corresponding to the green grade score based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score.
The aforementioned communication bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
As the implementation manner and the beneficial effects of the problem solving of each device of the electronic device in the foregoing embodiment can be implemented by referring to each step in the embodiment shown in fig. 1, detailed working processes and beneficial effects of the electronic device provided in the embodiment of the present application are not repeated herein.
In yet another embodiment provided by the present application, a computer-readable storage medium is further provided, which stores instructions that, when executed on a computer, cause the computer to execute the method for evaluating the green color level of an enterprise based on carbon efficiency as described in any one of the above embodiments.
In yet another embodiment provided by the present application, there is also provided a computer program product containing instructions that, when executed on a computer, cause the computer to perform the method for carbon-efficiency-based enterprise green rating evaluation as described in any of the above embodiments.
As will be appreciated by one of skill in the art, the embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present embodiments have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the true scope of the embodiments of the present application.
It is apparent that those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the embodiments of the present application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims of the embodiments of the present application and their equivalents, the embodiments of the present application are also intended to include such modifications and variations.

Claims (10)

1. An enterprise green grade evaluation method based on carbon efficiency is characterized by comprising the following steps:
processing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs based on a preset industry index scoring algorithm to obtain an industry index score;
acquiring the enterprise carbon intensity of the target enterprise and the average carbon intensity of the industry to which the target enterprise belongs, and determining a carbon index score corresponding to a first ratio of the average carbon intensity to the enterprise carbon intensity based on a mapping table of a preset carbon index score-carbon intensity ratio interval;
acquiring enterprise energy consumption intensity of the target enterprise and average energy consumption intensity of the industry to which the target enterprise belongs, and determining an energy consumption index score corresponding to a second ratio of the average energy consumption intensity to the enterprise energy consumption intensity based on a mapping table of a preset energy consumption index score to energy consumption intensity ratio interval;
determining the number of operation indexes of the target enterprise, which accord with green operation indexes, and the number of management indexes of the target enterprise, which accord with green management indexes, and obtaining a green operation index score corresponding to the number of the operation indexes and a green management index score corresponding to the number of the management indexes by adopting a preset scoring mode;
and determining the green grade score of the target enterprise and the enterprise green grade corresponding to the green grade score based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score.
2. The method of claim 1, wherein the processing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs based on a preset industry index scoring algorithm to obtain an industry index score comprises:
analyzing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs to obtain the industry index information corresponding to the target enterprise;
and processing the obtained industry index information based on a preset industry index scoring algorithm to obtain an industry index score.
3. The method of claim 2, wherein the industry index information includes whether the target enterprise is a high carbon industry or a low carbon industry and whether the target enterprise belongs to a green industry in a green industry guide catalog;
the preset calculation formula of the industry index scoring algorithm is represented as follows:
industry index score x 1 =(A i +B i +C i )/3×100;
Wherein, i is 0 and 1,i =0 indicates "yes", i =1 indicates "not yes"; a represents that the enterprise is a high-carbon industry; b represents that the enterprise is in the low-carbon industry; c represents that the enterprise belongs to green industry in the green industry guide catalog; when i =0, A 0 The target enterprise is indicated to be a high carbon industry, and the value of the target enterprise is 0; b is 0 The target enterprise is represented as a low carbon industry, and the value of the target enterprise is 1; c 0 Indicating that the target enterprise belongs to a green industry in a green industry guide catalog, with a value of =1; when i =1, A 1 The target enterprise is not a high carbon industry and has a value of 1; b is 1 The target enterprise is not a low carbon industry and has a value of 0; c 1 Indicating that the target business does not belong to a green industry in the green industry guidance catalog, with a value of =0.
4. The method of claim 1, wherein obtaining the business carbon intensity of the target business and the average carbon intensity of the business to which the target business belongs comprises:
acquiring the enterprise carbon emission of the target enterprise based on the carbon dioxide emission corresponding to the terminal consumption energy;
determining the ratio of the enterprise carbon emission of the target enterprise to the enterprise added value of the target enterprise as the enterprise carbon intensity of the target enterprise;
acquiring carbon emission of enterprises in the whole society, and determining the ratio of the carbon emission of the enterprises in the whole society to the added value of the enterprises in the whole society as the carbon intensity of the enterprises in the whole society;
and acquiring the carbon strength and the corresponding average carbon strength of each enterprise in the industry to which the target enterprise belongs based on the carbon strength of each enterprise in the whole society.
5. The method of claim 4, wherein the formula for calculating the carbon emissions of the enterprise is expressed as: enterprise carbon emission amount =sigma (Activity) i,j ×EF i,j );
In the formula, activity represents consumption of different types of terminal energy, wherein the consumption of fossil energy is obtained by multiplying physical quantity data by a corresponding conversion coefficient; i represents energy varieties of different fuel types, including energy varieties of coal, oil products, natural gas and electric power, and j represents different industry types; EF denotes the carbon dioxide emission factor for different energy varieties.
6. The method of claim 1, wherein determining the green level of the target enterprise corresponding to the green level score and the corresponding green level score based on the industry index score, the carbon index score, the energy consumption index score, the green operations index score, and the green management index score comprises:
acquiring a weight coefficient of each configured index score;
weighting the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score with the weight coefficient of the corresponding index score to obtain a green grade score of the target enterprise;
and determining the enterprise green grade corresponding to the green grade score of the target enterprise based on a preset green grade scoring interval and an enterprise green grade mapping table.
7. The method of claim 1, wherein the method further comprises:
determining an industry index grade corresponding to the industry index grade based on a mapping table of an industry index grade grading interval and the industry index grade, wherein the industry index grade comprises a low-carbon industry grade and a high-carbon industry grade;
determining a carbon index enterprise level of a target enterprise corresponding to the carbon index score based on a mapping table of a carbon index score interval and the carbon index enterprise level;
determining a business type of the target business based on the industry indicator grade and the carbon indicator business level.
8. An enterprise green grade evaluation device based on carbon efficiency is characterized by comprising:
the acquisition unit is used for processing the industry to which the target enterprise belongs and the industry to which the target enterprise belongs on the basis of a preset industry index scoring algorithm to obtain an industry index score;
acquiring the enterprise carbon strength of the target enterprise and the average carbon strength of the industry to which the target enterprise belongs;
the determining unit is used for determining a carbon index score corresponding to a first ratio of the average carbon intensity to the enterprise carbon intensity based on a mapping table of a preset carbon index score-carbon intensity ratio interval;
the acquisition unit is further used for acquiring the enterprise energy consumption intensity of the target enterprise and the average energy consumption intensity of the industry to which the target enterprise belongs;
the determining unit is further configured to determine, based on a preset mapping table of the energy consumption index score and the energy consumption intensity ratio interval, an energy consumption index score corresponding to a second ratio of the average energy consumption intensity to the enterprise energy consumption intensity;
determining the number of operation indexes of the target enterprise, which accord with the green operation indexes, and the number of management indexes of the target enterprise, which accord with the green management indexes;
the acquisition unit is further used for acquiring green operation index scores corresponding to the number of the operation indexes and green management index scores corresponding to the number of the management indexes by adopting a preset scoring mode;
the determining unit is further configured to determine a green grade score of the target enterprise and an enterprise green grade corresponding to the green grade score based on the industry index score, the carbon index score, the energy consumption index score, the green operation index score and the green management index score.
9. An electronic device, characterized in that the electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of claims 1-7 when executing a program stored on a memory.
10. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 7.
CN202211687994.XA 2022-12-28 2022-12-28 Enterprise green grade evaluation method and device based on carbon efficiency Pending CN115660511A (en)

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