Enterprise low-carbon operation performance evaluation method, system and device and storage medium

Abstract

The embodiment of the invention relates to the field of enterprise performance evaluation, and discloses an enterprise low-carbon operation performance evaluation method, system and device and a storage medium, and the method comprises the steps: determining key indexes of enterprise performance evaluation according to enterprise operation characteristics; establishing a comprehensive evaluation model according to the key indexes, evaluating the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtaining the comprehensive operation level of the enterprise; and decomposing the comprehensive evaluation model to form a plurality of evaluation sub-models, and performing classification evaluation on the enterprise through the plurality of evaluation sub-models. The oil and gas energy company low-carbon operation performance evaluation system constructed by the embodiment of the invention has the characteristic of accurately evaluating the performance of the oil and gas energy company, the system method is more applicable, the result is more objective and reliable, and the method is more practical. The method provides a targeted mode and method for identifying high-quality enterprises in the industry, accurately optimizing weak links of production operation and effectively improving comprehensive performance, and can meet the requirements of the industry.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the technical field of enterprise performance evaluation, and specifically to a method, system, device and storage medium for evaluating the low-carbon operation performance of an oil and gas energy enterprise. Background Art

[0002] The oil and gas industry is facing increasingly stringent environmental regulatory pressure from external and internal stakeholders, and corporate sustainable development faces severe challenges. It is particularly important to correctly evaluate the comprehensive performance of the company's business and environment, and to identify the weak links of the company and make operational adjustments accordingly. In the past, most evaluation methods focused on the assessment of economic indicators, but now the weight of environmental factors has been significantly increased. At present, there are few methods suitable for the comprehensive evaluation of oil and gas energy companies, and they are not very targeted.

[0003] At present, there are many methods for evaluating corporate performance, such as the earlier established DuPont analysis method, balanced scorecard method, and hierarchical analysis method, fuzzy comprehensive evaluation method, principal component analysis method, etc. based on modern mathematical methods. Among them, the DuPont analysis method is to reflect the net asset return rate of the enterprise by multiplying the net profit margin, total asset turnover rate, and equity multiplier that reflect the profitability, operating ability, and debt-paying ability of the enterprise. With the net profit margin as the core, it is decomposed step by step, which can clearly reflect how the various factors in the enterprise's financial system affect each other. The DuPont financial analysis method is a top-down comprehensive analysis of the financial status of the enterprise, and roughly evaluates the strength, operation and development prospects of the enterprise based on the financial status and operating performance, helping management to make decisions. However, this method is limited to financial report data and does not consider the impact of the environment on the operation of the enterprise. The balanced scorecard method mainly serves the strategy and management of the enterprise, constructs an evaluation system from the four dimensions of finance, customers, internal operations, and learning and growth, and quantifies the strategic goals of the enterprise into specific indicators. A performance evaluation method. The balanced scorecard can comprehensively reflect the performance level of enterprises in long-term and short-term, financial and non-financial, internal and external aspects, and facilitate managers to grasp the company's strategic goals. It inhibits the short-term behavior of managers to a certain extent and can strengthen the management of corporate strategic goals. However, because the balanced scorecard requires four dimensions of indicators when constructing an indicator system, and each dimension can be refined into multiple indicator factors, this method has a large business volume and complicated work when establishing an indicator system, and it will involve a lot of internal enterprise data, which is not convenient for promotion and operation. In addition, it does not include environmental factors in the evaluation. The analytic hierarchy process is a decision analysis method that combines qualitative and quantitative factors. The use of the AHP method can generally be divided into four steps: first, establish an internal independent increasing hierarchical structure that can describe the functions or characteristics of the system; second, compare the elements with each other to construct all the judgment matrices; third, solve the judgment matrix, solve the characteristic roots and vectors, and check whether each matrix meets the consistency. If not, the judgment matrix needs to be adjusted according to the requirements until the matrix meets the consistency requirements; fourth, calculate the weight of each layer of elements and verify whether the structural system meets the consistency. However, this method has no unified standard for quantifying the weights of qualitative indicators when constructing the indicator system, which will affect the final evaluation results. In addition, this method can only rank the evaluation objects, but cannot provide a solution to improve performance. The fuzzy comprehensive evaluation method is based on fuzzy mathematics, constructs a hierarchical fuzzy operation subset, quantifies each fuzzy evaluation indicator within a certain range, and uses certain operation methods to conduct a comprehensive analysis of each indicator to draw an evaluation conclusion. The evaluation result obtained by the fuzzy comprehensive evaluation method is a fuzzy vector, rather than a definite evaluation value. The information represented by the fuzzy vector is more diverse and can more comprehensively reflect the performance of the enterprise.This evaluation method has a wide range of applications, because many indicators in real life cannot be accurately described, and the fuzzy comprehensive evaluation method can use mathematical means to achieve a more reasonable quantitative analysis of fuzzy information. However, the actual operation process is complicated, and the determination of the weights of each indicator is highly subjective. The principal component analysis method is a comprehensive evaluation method that transforms multiple indicators into a few unrelated comprehensive indicators (principal components) that contain most of the information of the original indicator system (80% or more) through the study of the internal structural relationship of the indicator system. However, this method is highly technical, complex in calculation, and difficult to collect data. The data envelopment analysis method is a non-parametric statistical method proposed to evaluate whether a decision-making unit with multiple inputs and multiple outputs of the same type is technically effective. The basic idea is to regard each evaluation unit as a decision-making unit, and a large number of decision-making units constitute the evaluated group. The weights of the input and output indicators of the decision-making unit are used as variables for evaluation operations, and the ranking is made according to the performance score. The invalid factors and invalidity of the ineffective decision-making unit can also be further analyzed, which can be used as a basis for improving management decisions. However, the existing indicator system is not suitable for performance evaluation in the oil and gas energy industry, and the mathematical model needs to be improved to match it; the model alone can only evaluate the participating units in the same period, and cannot analyze the performance changes of the participating individuals in the time series; in the existing literature using this method for performance evaluation, the indicator calculation method is vague or there is no consistent standard. In summary, the DuPont analysis method and the balanced scorecard method focus on the consideration of economic indicators, the determination of indicator weights in the hierarchical analysis method and the fuzzy comprehensive evaluation method is controversial, and the principal component analysis method is difficult to collect data and complex to calculate. In addition to the above methods, although the DEA method has gradually become one of the mainstream methods, it has not made targeted improvements based on the characteristics of oil and gas energy companies.

[0004] At present, in the context of global low-carbon development, an evaluation method system that comprehensively considers operational and environmental performance suitable for oil and gas energy companies has not yet been formed, and carbon footprint, as a key negative indicator in the evaluation system, has not yet been fully disclosed, resulting in the lack of objectivity in the evaluation results. Summary of the invention

[0005] The embodiments of the present disclosure provide a method, system, device and storage medium for evaluating the low-carbon operation performance of an enterprise to solve or alleviate one or more of the above technical problems in the prior art.

[0006] According to one aspect of the present disclosure, a method for evaluating the low-carbon operation performance of an enterprise is provided, comprising:

[0007] Determine the key indicators for enterprise performance evaluation based on the enterprise's operating characteristics;

[0008] Establish a comprehensive evaluation model based on key indicators, evaluate the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtain the comprehensive operation level of the enterprise;

[0009] The comprehensive evaluation model is decomposed to form a plurality of evaluation sub-models, and the enterprises are classified and evaluated through the plurality of evaluation sub-models.

[0010] In a possible implementation, the comprehensive evaluation model is decomposed to form a plurality of evaluation sub-models, and the enterprise is classified and evaluated by the plurality of evaluation sub-models, which includes:

[0011] A production index model is constructed for the comprehensive evaluation model, and the total factor productivity change trend of the same enterprise in different periods is calculated through the production index model.

[0012] In a possible implementation, the comprehensive evaluation model is decomposed to form a plurality of evaluation sub-models, and the enterprise is classified and evaluated by the plurality of evaluation sub-models, which includes:

[0013] A dual model of the comprehensive evaluation model is constructed, and the sources that affect the operating performance of each enterprise are decomposed and measured through the dual model to obtain the inefficient factors in the enterprise's input factors.

[0014] In a possible implementation, the decomposing the comprehensive evaluation model to form a plurality of evaluation sub-models, and classifying and evaluating the enterprises through the plurality of evaluation sub-models includes:

[0015] Decompose the comprehensive evaluation model to form an enterprise management level evaluation sub-model, and obtain the enterprise management level through the enterprise management level evaluation sub-model;

[0016] Decompose the comprehensive evaluation model to form a sub-model for evaluating the enterprise's technological innovation level, and obtain the enterprise's technological innovation level through the sub-model;

[0017] Decompose the comprehensive evaluation model to form an enterprise green environmental protection level evaluation sub-model; obtain the enterprise green environmental protection level through the enterprise green environmental protection level evaluation sub-model.

[0018] In a possible implementation, it includes:

[0019] Rank the participating enterprises in terms of their comprehensive operation level, management level, technological innovation level, and green environmental protection level;

[0020] Analyze corporate performance based on the ranking results and form a performance improvement strategy.

[0021] In a possible implementation, the key indicators for enterprise performance evaluation determined according to the enterprise's operating characteristics include:

[0022] Collect annual business data of enterprises and analyze business characteristics based on the annual business data;

[0023] According to the business characteristics of the enterprise, the annual business data of the enterprise is divided into input indicators and output indicators;

[0024] The input indicators include: indicators related to enterprise management, capital investment indicators related to enterprise technological innovation, and enterprise energy investment indicators;

[0025] The output indicators include positive output indicators related to business objectives and negative output indicators related to environmental pollution.

[0026] In a possible implementation, the step of establishing a comprehensive evaluation model based on key indicators, evaluating the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtaining the comprehensive operation level of the enterprise includes:

[0027] Calculate the negative output indicators related to environmental pollution among the key indicators to obtain the total carbon emissions of the entire value chain of the enterprise.

[0028] In a possible implementation, the calculation of negative output indicators related to environmental pollution in the key indicators to obtain the total carbon emissions of the entire value chain of the enterprise includes:

[0029] Obtain the total amount of Scope 1 and Scope 2 carbon emissions based on the data disclosed by the company;

[0030] The total carbon emissions in scope 3 are calculated based on the energy value of oil and gas export products involved in carbon emissions and the corresponding carbon emission factor conversion coefficient;

[0031] Sum up the total carbon emissions of scope 1, scope 2 and scope 3 to form the total carbon emissions of the entire value chain of the enterprise.

[0032] In a possible implementation, the total carbon emissions in scope 3 are calculated based on the energy value of the oil and gas export products involved in carbon emissions and the corresponding carbon emission factor conversion coefficient, including:

[0033] Statistics on all the export products of an enterprise, including primary products, refined products, finished products and products purchased from outside and then exported;

[0034] Calculate the total energy value of the export product. The calculation formula for the total energy value of the export product is:

[0035]

[0036] In the formula, A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and then exported respectively;

[0037] Calculate the energy value of the final carbon emission of the exported products. The calculation formula for the energy value of the final carbon emission of the exported products is:

[0038] Energy value of crude oil export products that participate in carbon emissions = total energy of crude oil export products * (1–R1%), where R1 represents the energy ratio coefficient of crude oil export products that is stored in the form of permanent carbon and does not participate in emissions, that is, the permanent carbon ratio coefficient of crude oil export products;

[0039] The energy value of natural gas export products that participate in carbon emissions = the total energy of natural gas export products * (1-R2%), where R2 represents the energy ratio coefficient of natural gas export products that is stored in the form of permanent carbon and does not participate in emissions, that is, the permanent carbon ratio coefficient of natural gas export products;

[0040] Calculate the total amount of carbon emissions in scope 3. The calculation formula for the total amount of carbon emissions in scope 3 is:

[0041]

[0042] Where A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and exported, respectively.

[0043] In a possible implementation, the comprehensive evaluation model is established according to the key indicators, and the comprehensive performance of the enterprise is evaluated by the comprehensive evaluation model to obtain the comprehensive operation level of the enterprise, including:

[0044] The comprehensive evaluation model is:

[0045]

[0046]

[0047]

[0048]

[0049]

[0050]

[0051]

[0052]

[0053]

[0054]

[0055] The calculation formula for the value of the enterprise's comprehensive operating level is:

[0056]

[0057] In the formula, x represents input items, e represents expected output items, p represents unexpected output items, m represents enterprise management input items, t represents enterprise technological innovation input items, g represents enterprise green environmental protection input items, q is the sum of all enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik is the i-th input indicator of the k-th enterprise; e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, xm represents the enterprise management index in the input item, xt represents the technological innovation index in the input item, and xg represents the green environmental protection index in the input item; are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the technology input factor, Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , θ1* represents the final efficiency score of the enterprise.

[0058] In a possible implementation, the decomposing the comprehensive evaluation model to form an enterprise management level evaluation sub-model, and obtaining the enterprise management level through the enterprise management level evaluation sub-model includes:

[0059] The sub-model for enterprise management level evaluation is:

[0060]

[0061]

[0062]

[0063]

[0064]

[0065]

[0066]

[0067]

[0068]

[0069]

[0070]

[0071] The calculation formula of enterprise management level value is:

[0072]

[0073] In the formula, x represents input items, e represents expected output items, p represents unexpected output items, m represents enterprise management input items, q is the sum of all enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik For the i-th input indicator of the k-th enterprise, e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, xm represents the enterprise management index in the input item, are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , θ2* represents the enterprise management level score.

[0074] In a possible implementation, the decomposition of the comprehensive evaluation model to form an enterprise technology innovation level evaluation sub-model, and obtaining the enterprise technology innovation level through the enterprise technology innovation level evaluation sub-model includes:

[0075] The sub-model for evaluating the enterprise's technological innovation level is:

[0076]

[0077]

[0078]

[0079]

[0080]

[0081]

[0082]

[0083]

[0084]

[0085]

[0086]

[0087] The calculation formula for the value of enterprise technological innovation level is:

[0088]

[0089] In the formula, x represents input items, e represents expected output items, p represents unexpected output items, t represents enterprise technological innovation input items, q is the sum of all enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik For the i-th input indicator of the k-th enterprise, e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, and xt represents the technological innovation index in the input item; are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the technology input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , θ3* represents the enterprise’s technological innovation level score.

[0090] In a possible implementation, the decomposition of the comprehensive evaluation model to form an enterprise green environmental protection level evaluation sub-model; obtaining the enterprise green environmental protection level through the enterprise green environmental protection level evaluation sub-model includes:

[0091] The sub-model for evaluating the green environmental protection level of an enterprise is:

[0092]

[0093]

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[0098]

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[0100]

[0101]

[0102]

[0103] The calculation formula for the value of an enterprise's green environmental protection level is:

[0104]

[0105] In the formula, x represents input items, e represents expected output items, p represents undesired output items, g represents green environmental protection input items of enterprises, q is the sum of the number of enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik For the i-th input indicator of the k-th enterprise, e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, xg represents the green environmental protection index in the input item, are slack variables related to input items, expected output items, and unexpected output items, respectively. Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , θ4* represents the green environmental protection level score of the enterprise.

[0106] In a possible implementation, the comprehensive evaluation model is used to construct a production index model, and the production index model is used to calculate the change trend of the total factor productivity of the same enterprise in different periods, including:

[0107] The Luenberger production index model is constructed to measure the changes in the total factor productivity level of the same enterprise in different periods, which is used to measure the changes in the enterprise's operating level over time. The calculation formula is:

[0108]

[0109] In the formula, TFP represents total factor productivity, LPI represents Luenberger production index, t represents the current time step, t+1 represents the next time step, j represents the number of enterprises, x represents all input items, e represents all expected output items, and p represents all undesired output items. represents all input and output items of enterprise j at time t, represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1;

[0110] The trend of total factor productivity change is divided into technological change and efficiency change, and the calculation formula is:

[0111]

[0112]

[0113]

[0114] In the formula, TECHCH represents technological innovation change, EFFCH represents efficiency change, t represents the current time step, t+1 represents the next time step, j represents the enterprise algebra, x represents all input items, e represents all expected output items, and p represents all undesired output items. represents all input and output items of enterprise j at time t, represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1.

[0115] In a possible implementation, the dual model of the comprehensive evaluation model is constructed, and the sources that affect the operating performance of each enterprise are decomposed and measured through the dual model to obtain the inefficient factors in the enterprise input factors, including:

[0116] The dual model is:

[0117]

[0118]

[0119]

[0120] σ: Unrestricted variable

[0121]

[0122]

[0123]

[0124]

[0125]

[0126] In the formula, x represents the input item, j and k both represent the number of a certain enterprise, e represents the expected output item, p represents the unexpected output, m represents the enterprise management input item, t represents the enterprise technology innovation input item, g represents the enterprise green environmental protection input item, q is the total number of all enterprises included in the evaluation system, i is the number of indicators related to enterprise management in the input item, l m is the sum of the number of indicators related to enterprise management in the input items, r is the number of indicators related to enterprise technological innovation in the input items, l t is the sum of the number of indicators related to enterprise technological innovation in the input items, s is the number of indicators related to enterprise green environmental protection in the input items, l gis the sum of the number of indicators related to green environmental protection of enterprises in the input items, d is the number of indicators in the expected output items, M is the sum of the number of indicators in the expected output items, u is the number of indicators in the non-expected output items, N is the number of indicators in the non-expected output items, It represents the i-th indicator value in the enterprise management input item of the k-th participating enterprise in the objective function. It represents the rth index value of the technological innovation input item of the kth participating enterprise in the objective function. represents the sth indicator value of the green environmental protection input item of the kth participating enterprise in the objective function, e dk represents the dth indicator value in the expected output item of the kth participating enterprise in the objective function, p uk It represents the uth indicator value in the non-expected output item of the kth participating enterprise in the objective function; Represents the i-th indicator value of the enterprise management input item of the j-th participating enterprise in the constraint conditions, Represents the rth indicator value of the technology innovation input item of the jth participating enterprise in the constraint conditions, Represents the sth indicator value of the green environmental protection input item of the jth participating enterprise. is the weight parameter of enterprise management indicators in the input items, is the weight parameter of enterprise technological innovation indicators in the input items, is the weight parameter of the green environmental protection index of the enterprise in the input item, is the weight parameter of the expected item in the output item, is the weight parameter of the non-expected item in the output item, σ is an unrestricted variable, v i , z r ,y s ,ud,w u They represent dual variables related to management input, technological input, environmental input, expected output and unexpected output respectively.

[0127] According to one aspect of the present disclosure, there is provided a system for evaluating the low-carbon operation performance of an enterprise, comprising:

[0128] The determination unit is used to determine the key indicators for enterprise performance evaluation based on the enterprise's operating characteristics;

[0129] An establishment unit is used to establish a comprehensive evaluation model based on key indicators, evaluate the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtain the comprehensive operation level of the enterprise;

[0130] The decomposition unit is used to decompose the comprehensive evaluation model to form multiple evaluation sub-models, and classify and evaluate the enterprises through the multiple evaluation sub-models.

[0131] In a possible implementation, it includes:

[0132] The first construction unit is used to construct a production index model for the comprehensive evaluation model, and to measure the total factor productivity change trend of the same enterprise in different periods through the production index model.

[0133] In a possible implementation, it includes:

[0134] The second construction unit is used to construct a dual model of the comprehensive evaluation model. Through the dual model, the sources that affect the operating performance of each enterprise are decomposed and measured to obtain the inefficient factors in the enterprise's input factors.

[0135] According to one aspect of the present disclosure, there is provided a device for evaluating the low-carbon operation performance of an enterprise, comprising:

[0136] Processor and memory;

[0137] The memory is used to store computer programs, and the processor calls the computer programs stored in the memory to execute any one of the above-mentioned enterprise low-carbon business performance evaluation methods.

[0138] According to one aspect of the present disclosure, a computer-readable storage medium is provided, in which a computer program is stored. When the computer program is executed by a processor, the processor is enabled to execute any one of the above-mentioned methods for evaluating the low-carbon business performance of an enterprise.

[0139] The exemplary embodiments of the present disclosure have the following beneficial effects:

[0140] By using the exemplary embodiments of the present disclosure, key indicators for performance evaluation of oil and gas energy enterprises are determined. By combing the production characteristics of the entire industrial chain of oil and gas energy enterprises in detail, they are divided into major categories according to operation management indicators, technological innovation indicators and green environmental protection indicators, and a detailed sub-indicator system is established to determine the key indicators for comprehensive business-environmental performance evaluation, solving the shortcomings of previous evaluation model indicators being broad, vague and not targeted.

[0141] Using the exemplary embodiments of the present disclosure, the carbon emission data of oil and gas energy enterprises are accurately calculated. Carbon emission indicators are key negative indicators for evaluating the environmental performance of enterprises, but currently almost all oil and gas energy enterprises have not fully disclosed this data. By using the export product volume, net calorific value conversion coefficient and carbon emission factor conversion coefficient disclosed by the enterprise, and investigating the permanent carbon ratio, the calculation method of scope 3 carbon footprint is determined, which solves the current shortcomings of not being able to obtain the carbon footprint of the entire industrial chain of oil and gas energy enterprises and thus being unable to accurately evaluate environmental performance.

[0142] By using the exemplary embodiments of the present disclosure, the DEA model is improved by combining the performance evaluation characteristics of oil and gas energy enterprises. With the evaluation content as the guide, the existing DEA model does not fully match the evaluation needs of the oil and gas industry. Through parameter improvement, the model can use economic output as a positive indicator and carbon footprint as a negative output indicator, and incorporate the three elements of enterprise management, technological innovation and green and low-carbon into the same evaluation system, and analyze the impact of the three factors themselves and after integration on enterprise performance.

[0143] By using the exemplary embodiments of the present disclosure, the source factors of inefficient enterprises can be deeply analyzed. By constructing a dual model of the improved DEA model, enterprises can be helped to identify the key factors affecting performance scores. The shortcomings of being unable to propose targeted performance improvement strategies due to unclear understanding are solved.

[0144] By using the exemplary embodiment of the present disclosure, the Luenberger production index is expanded into the improved DEA model, and the performance changes of the same enterprise in different periods can be evaluated and analyzed. Since the DEA model can only carry out performance evaluation of different participating enterprises in the same period, the evaluation is not comprehensive. By introducing the Luenberger production index method, the performance changes of the same enterprise in different periods can be evaluated and analyzed, and the development changes of the enterprise can be comprehensively evaluated from both horizontal and vertical time aspects, and the results are objective and reliable.

[0145] By using the exemplary embodiments of the present disclosure, a performance evaluation method system for oil and gas energy enterprises is formed. Through the study of enterprise characteristics, index division, model improvement, etc., a complete process system suitable for performance evaluation of the oil and gas industry in the low-carbon era is established, which solves the shortcomings of unclear evaluation methods.

[0146] In summary, the low-carbon operating performance evaluation system for oil and gas energy companies constructed by the present invention has the characteristics of accurately evaluating the performance of oil and gas energy enterprises. The system method is more applicable and the results are more objective and reliable. It provides targeted methods for identifying high-quality enterprises in the industry, accurately optimizing the weak links in production operations, and effectively improving comprehensive performance, which can meet the needs of the industry.

[0147] The details of one or more embodiments of the present application are presented in the following drawings and descriptions. Other features and advantages of the present application will become apparent from the accompanying drawings. It should be understood that the above general description and the detailed descriptions below are only exemplary and explanatory and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0148] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0149] Figure 1 is a flow chart of a method for evaluating the low-carbon business performance of an enterprise according to the exemplary embodiment;

[0150] Figure 2 is a flow chart of the low-carbon business performance evaluation system of an oil and gas energy company of this exemplary embodiment;

[0151] Figure 3 is a conceptual diagram of the carbon footprint of scope 1, scope 2 and scope 3 of this exemplary embodiment;

[0152] Figure 4 This is a schematic diagram of the export products of the oil and gas energy enterprise of this exemplary embodiment;

[0153] Figure 5 is a schematic diagram of the individual efficiency optimization principle of performance evaluation of this exemplary embodiment;

[0154] Figure 6 is a block diagram of an enterprise low-carbon business performance evaluation system of the present exemplary embodiment;

[0155] Figure 7 It is a structural schematic diagram of an enterprise low-carbon business performance evaluation device according to this exemplary embodiment. DETAILED DESCRIPTION

[0156] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0157] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware units or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0158] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the steps. For example, some steps may be decomposed, while some steps may be combined or partially combined, so the actual execution order may change according to the actual situation.

[0159] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example.

[0160] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or sub-modules is not necessarily limited to those steps or sub-modules explicitly listed, but may include other steps or sub-modules not explicitly listed or inherent to these processes, methods, products, or apparatuses.

[0161] Figure 1 is a flow chart of a method for evaluating the low-carbon business performance of an enterprise according to this exemplary embodiment. Figure 1 As shown, an exemplary embodiment of the present disclosure provides a method for evaluating the low-carbon business performance of an enterprise, comprising:

[0162] S1 Determine the key indicators for enterprise performance evaluation based on the enterprise's business characteristics;

[0163] S2 collects basic business information related to the performance evaluation indicators in S1 based on the annual report documents publicly disclosed by the enterprise or other reliable information sources, and provides basic data for subsequent enterprise evaluation. The data includes but is not limited to the number of employees, technology investment, non-green product production, green product production, sales, carbon emissions, etc. The above types of data can be expanded or reduced according to the purpose of the evaluation, and the entire evaluation system framework is flexible.

[0164] It is worth noting that after step S1, you can collect data first or build a model first. Considering that if the data information disclosure of some enterprises is incomplete, the model needs to be adjusted. Therefore, it is preferred to collect data first and then build the model.

[0165] S3 establishes a comprehensive evaluation model based on key indicators, evaluates the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtains the comprehensive operation level of the enterprise;

[0166] S4 decomposes the comprehensive evaluation model to form multiple evaluation sub-models, and classifies and evaluates the enterprises through the multiple evaluation sub-models.

[0167] Specifically, the S4 decomposes the comprehensive evaluation model to form multiple evaluation sub-models, and classifies and evaluates the enterprises through the multiple evaluation sub-models, including:

[0168] S5 constructs a production index model for the comprehensive evaluation model, and uses the production index model to measure the change trend of the total factor productivity of the same enterprise in different periods.

[0169] Specifically, the S4 decomposes the comprehensive evaluation model to form multiple evaluation sub-models, and classifies and evaluates the enterprises through the multiple evaluation sub-models, including:

[0170] S6 constructs a dual model of the comprehensive evaluation model, and uses the dual model to decompose and measure the sources that affect the operating performance of each enterprise, thereby obtaining the inefficient factors in the enterprise's input factors.

[0171] Figure 2 This is a flow chart of the low-carbon business performance evaluation system of the oil and gas energy company of this exemplary embodiment, such as Figure 2 As shown, this embodiment includes:

[0172] Step A: Based on the logical connection between enterprise input and output, analyze and establish various indicators, and collect annual operating data of oil and gas energy enterprises accordingly. According to the business characteristics of enterprises, the input data are classified into: (1) indicators related to enterprise management; (2) capital input indicators related to enterprise technological innovation; (3) enterprise energy input indicators; and the output data are classified into: (1) positive output indicators related to business objectives; (2) negative output indicators related to environmental pollution (mainly carbon dioxide). It is worth noting that the data for constructing the evaluation system can be screened according to specific needs and data availability.

[0173] Step B: According to the production characteristics of oil and gas energy enterprises, the negative indicator related to environmental pollution in step A, namely carbon dioxide emissions, is accurately calculated. Specifically, the total carbon emissions of the entire value chain of the enterprise = scope 1 + scope 2 + scope 3. Scope 1 and scope 2 can be directly obtained from the data disclosed by the enterprise, and scope 3 is calculated based on the energy value of oil and gas export products involved in carbon emissions and the corresponding carbon emission factor conversion coefficient. The sum of the three is the total carbon emissions of the entire value chain of the enterprise.

[0174] Step C: Construct an improved DEA model for comprehensive evaluation of enterprise performance.

[0175] Step D: Based on the additive structure of the model, the model in step C is further decomposed into three sub-models for classified evaluation of enterprises: (1) a sub-model for evaluating the management performance of enterprises; (2) a sub-model for evaluating the technological innovation performance of enterprises; and (3) a sub-model for evaluating the green environmental performance of enterprises.

[0176] Step E: Based on the improved DEA comprehensive evaluation model, a DEA-Luenberger (Data envelopment analysis-Luenberger) production index model is constructed to measure the changes in the total factor productivity level of the same enterprise in different periods, so as to measure the changes in the enterprise's operating level in the longitudinal time.

[0177] Step F: Construct a dual model of the improved DEA comprehensive evaluation model in step C, decompose and measure the sources of inefficiency that affect the operating performance of each enterprise, identify the inefficient factors in the enterprise's input factors, and provide support for the enterprise to improve its operating-environmental performance level in a targeted manner.

[0178] Step G: Based on the calculation results, the participating enterprises are ranked and comprehensively analyzed according to their comprehensive operation level, management level, technological innovation level and green environmental protection level, and targeted performance improvement strategies are proposed.

[0179] Establishing a set of evaluation system methods for low-carbon operating performance in the oil and gas energy industry under the background of global low-carbon development is one of the key problems that need to be solved in the performance evaluation of the oil and gas industry. The purpose of this embodiment is to accurately divide the operation management, technological innovation and green environmental protection evaluation indicators according to the business characteristics of the enterprise, and improve the DEA evaluation model and its dual model accordingly; make up for the defects of incomplete disclosure of corporate carbon footprint data: by reasonably calculating the scope 3 carbon footprint that the enterprise has not disclosed to accurately obtain the carbon footprint indicator data of the entire value chain of the enterprise; the existing DEA evaluation model can only carry out horizontal comparison of the performance of the participating enterprises in the same period but cannot carry out vertical comparison, resulting in distortion of the final evaluation results. By constructing a combined evaluation model, the green and low-carbon development performance of the enterprise is comprehensively evaluated in the horizontal and vertical time series. Finally, a performance evaluation system that adapts to the green and low-carbon development of enterprises is constructed. It helps the industry to identify high-quality enterprises, learn from effective experience, discover and improve the inefficient and weak links in the operation of enterprises, and provide support for the sustainable development of the industry.

[0180] Specifically, the S4 decomposes the comprehensive evaluation model to form multiple evaluation sub-models, and the classification evaluation of enterprises through the multiple evaluation sub-models includes:

[0181] S41 decomposes the comprehensive evaluation model to form an enterprise management level evaluation sub-model, and obtains the enterprise management level through the enterprise management level evaluation sub-model;

[0182] S42 decomposes the comprehensive evaluation model to form a sub-model for evaluating the technological innovation level of the enterprise, and obtains the technological innovation level of the enterprise through the sub-model for evaluating the technological innovation level of the enterprise;

[0183] S43 decomposes the comprehensive evaluation model to form an enterprise green environmental protection level evaluation sub-model; and obtains the enterprise green environmental protection level through the enterprise green environmental protection level evaluation sub-model.

[0184] Specifically, it includes:

[0185] S7 ranks participating enterprises on their comprehensive operation level, management level, technological innovation level, and green environmental protection level;

[0186] S8 analyzes enterprise performance based on the ranking results and forms a performance improvement strategy.

[0187] In this exemplary embodiment, according to the calculation results, the enterprise measurement data of each period and the measurement data of the same enterprise in different periods are sorted and analyzed according to the categories of enterprise comprehensive operation level, enterprise management level, enterprise technological innovation level and enterprise green environmental protection level. The industry leaders at the efficiency frontier and the trend of enterprise performance changes can be identified, and enterprises with poor performance can also be identified. Furthermore, by scoring the performance of the dual variables, it is helpful to tailor technical strategies for performance improvement for different enterprises and provide support for the sustainable development of enterprises.

[0188] Specifically, S1 determines the key indicators of enterprise performance evaluation based on the business characteristics of the enterprise, including:

[0189] S11 collects the annual operating data of enterprises and analyzes the operating characteristics of enterprises based on the annual operating data;

[0190] S12 divides the annual operating data of enterprises into input indicators and output indicators according to the operating characteristics of enterprises;

[0191] The input indicators include: indicators related to enterprise management, capital investment indicators related to enterprise technological innovation, and enterprise energy investment indicators;

[0192] The output indicators include positive output indicators related to business objectives and negative output indicators related to environmental pollution.

[0193] Specifically, the S3 establishes a comprehensive evaluation model based on key indicators, and evaluates the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtains the comprehensive operation level of the enterprise, including:

[0194] S100 calculates the negative output indicators related to environmental pollution among the key indicators to obtain the total carbon emissions of the entire value chain of the enterprise.

[0195] Specifically, the negative output indicators related to environmental pollution in the S100 calculation key indicators to obtain the total carbon emissions of the entire value chain of the enterprise include:

[0196] S101 Obtain the total carbon emissions of Scope 1 and Scope 2 based on the data disclosed by the enterprise;

[0197] S102 calculates the total carbon emissions in scope 3 based on the energy value of oil and gas export products involved in carbon emissions and the corresponding carbon emission factor conversion coefficient;

[0198] S103 calculates the total carbon emissions of scope 1, scope 2 and scope 3 by summing up to form the total carbon emissions of the entire value chain of the enterprise.

[0199] Specifically, the total amount of carbon emissions in scope 3 calculated in S102 according to the energy value of the oil and gas export products involved in carbon emissions and the corresponding carbon emission factor conversion coefficient includes:

[0200] S1021 counts all the export products of the enterprise, including primary products, refined products, finished products and products purchased from outside and then exported;

[0201] S1022 calculates the total energy value of the export product, and the calculation formula of the total energy value of the export product is:

[0202]

[0203] In the formula, A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and then exported respectively;

[0204] S1023 calculates the energy value of the final carbon emission of the export product, and the calculation formula of the energy value of the final carbon emission of the export product is:

[0205] Energy value of crude oil export products involved in carbon emissions = total energy of crude oil export products * (1 – R1%), where R1 represents the permanent carbon ratio coefficient of crude oil export products;

[0206] Energy value of natural gas export products involved in carbon emissions = total energy of natural gas export products * (1-R2%), where R2 represents the permanent carbon ratio coefficient of natural gas export products;

[0207] For example, R1=8, R2=1.9, that is, the energy value of crude oil export products involved in carbon emissions = the total energy of crude oil export products * (1-8%); the energy value of natural gas export products involved in carbon emissions = the total energy of natural gas export products * (1-1.9%);

[0208] S1024 calculates the total carbon emissions in scope 3, and the calculation formula for the total carbon emissions in scope 3 is:

[0209]

[0210] Where A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and exported, respectively.

[0211] Specifically, S3 establishes a comprehensive evaluation model based on key indicators, evaluates the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtains the comprehensive operation level of the enterprise, including:

[0212] The S31 comprehensive evaluation model is:

[0213]

[0214]

[0215]

[0216]

[0217]

[0218]

[0219]

[0220]

[0221]

[0222]

[0223] The calculation formula for the value of S32 enterprise comprehensive operation level is:

[0224]

[0225] Wherein, x represents input item, e represents expected output item (take the first letter of ecnomic), p represents undesired output (since this embodiment is a comprehensive evaluation of operation and environment, pollution item is undesired output, so the first letter of pollution p is taken to represent it), m represents enterprise management input item (take the first letter of manage), t represents enterprise technological innovation input item (take the first letter of technic), g represents enterprise green environmental protection input item (take the first letter of green), q is the total number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (difference: j is used to traverse all enterprise algebras, k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, edk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dk represents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-desired item, xm represents the enterprise management index in the input item, xt represents the technological innovation index in the input item, xg represents the green environmental protection index in the input item (the purpose of xm, xt, and xg is to use abbreviations to clearly identify the meaning of each item, x is the input item, m is manage, t is techonic, and g is green), ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the technology input factor, Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * represents the optimal value, and θ1* represents the final efficiency score of the enterprise.

[0226] Specifically, the S41 decomposes the comprehensive evaluation model to form an enterprise management level evaluation sub-model, and obtaining the enterprise management level through the enterprise management level evaluation sub-model includes:

[0227] The S411 enterprise management level evaluation sub-model is:

[0228]

[0229]

[0230]

[0231]

[0232]

[0233]

[0234]

[0235]

[0236]

[0237]

[0238]

[0239] The calculation formula for the value of S412 enterprise management level is:

[0240]

[0241] Wherein, x represents input item, e represents expected output item (take the first letter of ecnomic), p represents undesired output (since this embodiment is a comprehensive evaluation of operation and environment, pollution item is undesired output, so the first letter of pollution p is taken to represent it), m represents enterprise management input item (take the first letter of manage), q is the sum of the number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (the difference between j and k is that j is used to traverse all enterprise algebras, and k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dkrepresents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-desirable item, xm represents the enterprise management index in the input item, and ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * represents the optimal value, and θ2* represents the enterprise management level score.

[0242] Specifically, the S42 decomposes the comprehensive evaluation model to form an enterprise technology innovation level evaluation sub-model. The enterprise technology innovation level is obtained through the enterprise technology innovation level evaluation sub-model, including:

[0243] The sub-model for evaluating the technological innovation level of S421 enterprises is:

[0244]

[0245]

[0246]

[0247]

[0248]

[0249]

[0250]

[0251]

[0252]

[0253]

[0254]

[0255] S422 The calculation formula for the value of enterprise technological innovation level is:

[0256]

[0257] Wherein, x represents the input item, e represents the expected output item (take the first letter of ecnomic), p represents the undesired output (since this embodiment is a comprehensive evaluation of operation and environment, pollution is an undesired output, so the first letter of pollution p is taken to represent it), t represents the enterprise technological innovation input item (take the first letter of technic), q is the sum of the number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (the difference between j and k is that j is used to traverse all enterprise algebras, and k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dk represents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-desirable item, xt represents the technological innovation index in the input item, and ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the technology input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * indicates the optimal value, and θ3* indicates the enterprise’s technological innovation level score.

[0258] Specifically, the S43 decomposes the comprehensive evaluation model to form a green environmental protection level evaluation sub-model for the enterprise; obtaining the green environmental protection level of the enterprise through the green environmental protection level evaluation sub-model for the enterprise includes:

[0259] The S431 enterprise green environmental protection level evaluation sub-model is:

[0260]

[0261]

[0262]

[0263]

[0264]

[0265]

[0266]

[0267]

[0268]

[0269]

[0270]

[0271] S432 The calculation formula for the value of the green environmental protection level of an enterprise is:

[0272]

[0273] In the formula, x represents the input item, e represents the expected output item (take the first letter of ecnomic), p represents the undesired output (because this embodiment is a comprehensive evaluation of operation and environment, pollution is an undesired output, so the first letter of pollution p is taken to represent it), g represents the green environmental input item of the enterprise (take the first letter of green), q is the total number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (the difference between j and k is that j is used to traverse all enterprise algebras, and k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dk represents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-desirable item, xg represents the green environmental protection index in the input item, and ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λq ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * indicates the optimal value, and θ4* indicates the green environmental protection level score of the enterprise.

[0274] Specifically, the S5 constructs a production index model for the comprehensive evaluation model, and the production index model is used to calculate the change trend of the total factor productivity of the same enterprise in different periods, including:

[0275] The Luenberger production index model is constructed to measure the changes in the total factor productivity level of the same enterprise in different periods, which is used to measure the changes in the enterprise's operating level over time. The calculation formula is:

[0276]

[0277] In the formula, TFP is the abbreviation of Total Factor Productivity, LPI is the abbreviation of Luenberger Productivity Index, t represents the current time step, t+1 represents the next time step (the comparison of two time steps can reflect the change of enterprise efficiency, for example, t=2020, t+1=2021), j is the enterprise algebra (different enterprises are replaced by different numbers), x represents all input items, e represents all expected output items, p represents all undesired output items, represents all input and output items of enterprise j at time t (a parameter set used to calculate the efficiency value of a specific category of enterprise J at time t, such as comprehensive operation, enterprise management, technological innovation or green environmental protection), represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1;

[0278] The trend of total factor productivity change is divided into technological change and efficiency change, and the calculation formula is:

[0279]

[0280]

[0281]

[0282] In the formula, TECHCH is the abbreviation of Technic change, EFFCH is the abbreviation of Efficiency Change, t represents the current time step, t+1 represents the next time step (the comparison of two time steps can reflect the change in enterprise efficiency, for example, t=2020, t+1=2021), j is the enterprise algebra (different enterprises are replaced by different numbers), x represents all input items, e represents all expected output items, p represents all undesired output items, represents all input and output items of enterprise j at time t (used to calculate the efficiency value of a specific category of enterprise J at time t, such as comprehensive operation, enterprise management, technological innovation or green environmental protection), represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1.

[0283] Specifically, the S6 constructs a dual model of the comprehensive evaluation model, and uses the dual model to decompose and measure the sources that affect the operating performance of each enterprise, and obtains the inefficient factors in the enterprise input factors, including:

[0284] The dual model is:

[0285]

[0286]

[0287]

[0288] σ: Unrestricted variable

[0289]

[0290]

[0291]

[0292]

[0293]

[0294] In the formula, x represents the input item, j and k are both the algebra of a certain enterprise (the difference between j and k is that j is used to traverse all enterprise algebras, and k only takes one enterprise algebra for one calculation), e represents the expected output item (takes the first letter of ecnomic), p represents the undesired output (since this embodiment is a comprehensive evaluation of operation and environment, the pollution item is the undesired output, so the first letter of pollution p is taken to represent it), m represents the enterprise management input item (takes the first letter of manage), t represents the enterprise technological innovation input item (takes the first letter of technic), g represents the enterprise green environmental protection input item (takes the first letter of green), q is the total number of all enterprises included in the evaluation system, i is the index algebra of enterprise management in the input item, l m is the sum of the number of indicators related to enterprise management in the input items, r is the number of indicators related to enterprise technological innovation in the input items, l t is the sum of the number of indicators related to enterprise technological innovation in the input items, s is the number of indicators related to enterprise green environmental protection in the input items, l g is the total number of indicators related to green environmental protection in the input items, d is the number of indicators in the desired output items (take the first letter of desire), M is the total number of indicators in the desired output items, u is the number of indicators in the undesired output items (take the first letter of undesire), and N is the total number of indicators in the undesired output items. Combining the above single letter interpretations, we can get It represents the i-th indicator value in the enterprise management input item of the k-th participating enterprise in the objective function. It represents the rth index value of the technological innovation input item of the kth participating enterprise in the objective function. represents the sth indicator value of the green environmental protection input item of the kth participating enterprise in the objective function, e dk represents the dth indicator value in the expected output item of the kth participating enterprise in the objective function, p uk It represents the uth indicator value in the non-expected output item of the kth participating enterprise in the objective function; Represents the i-th indicator value of the enterprise management input item of the j-th participating enterprise in the constraint conditions, Represents the rth indicator value of the technology innovation input item of the jth participating enterprise in the constraint conditions, Represents the sth indicator value of the green environmental protection input item of the jth participating enterprise. is the weight parameter of enterprise management indicators in the input items, is the weight parameter of enterprise technological innovation indicators in the input items, is the weight parameter of the green environmental protection index of the enterprise in the input item, is the weight parameter of the expected item in the output item, is the weight parameter of the non-desired item in the output item, ST represents the constraint condition (a mathematical symbol). σ is an unrestricted variable, v i , z r ,y s ,u d , w u They represent dual variables related to management input, technological input, environmental input, expected output and unexpected output respectively.

[0295] In order to more clearly illustrate the specific implementation mode of the present invention, an enterprise management-environmental performance evaluation is conducted on 15 of the top 50 international oil and gas energy companies in the world.

[0296] The principle on which this embodiment is based is: the comprehensive performance evaluation of modern enterprises is a comprehensive score calculated by mathematical models after comprehensively considering the operating level and green environmental protection indicators. In order to make the evaluation results consistent with the enterprise's operational management activities, it is necessary to first determine reasonable input and output evaluation indicators; secondly, under the background of "dual carbon", the carbon emission level of the enterprise is directly related to its environmental performance, so it is necessary to accurately calculate the total carbon emissions of the entire value chain of the enterprise. This indicator belongs to the output indicator. The carbon footprint data of scope 1 and scope 2 have been disclosed by the enterprise and can be directly obtained. Scope 3 needs to be manually calculated according to the method proposed in this embodiment, and the sum of the three is what is required; the mathematical model of comprehensive evaluation uses data envelopment analysis (DEA), and after making innovative improvements to the model based on the actual operation of the enterprise, the total performance score, management performance score, technological innovation performance score and green environmental protection performance score of all participating enterprises in the same period can be calculated. For participating enterprises with inefficient scores, the reasons for inefficiency can be further studied. Finally, combined with the Luenberger production index method, a comparative analysis of the performance changes of individual enterprises in different periods can be conducted, and ultimately a comprehensive performance identification of enterprises can be made, industry leaders can be identified, advanced experiences can be learned, and the weak links of inefficient enterprises can be found so that enterprises can make improvements. This embodiment realizes an accurate and reasonable evaluation of the operating-environmental performance of oil and gas energy enterprises, and can split and evaluate sub-item indicators, quickly identify industry leaders and inefficient enterprises; it can also identify the causes of enterprise inefficiency, which helps enterprises formulate targeted improvement measures.

[0297] Specifically, Figure 2 This is a flow chart of the low-carbon business performance evaluation system of oil and gas energy companies under the dual-carbon background of this exemplary embodiment. As shown in Figure 2, the method includes:

[0298] Step 101: Collect annual operating data of oil and gas energy companies (the main source of data collection includes the annual report publicly disclosed by each company, which exemplarily includes information on operating performance, corporate management, technological investment, carbon emissions, product sales, etc. This embodiment obtains basic data from these public documents in order to use the method proposed in this embodiment for calculation, including but not limited to the number of employees in the company, the amount of technological investment, the production of non-green products, the production of green products, sales, carbon emissions, etc. It is worth noting that the above parameters can be increased or decreased according to the purpose of the evaluation, and the entire framework is flexible).

[0299] According to the business characteristics of enterprises, the data are divided into two categories: input and output. Input indicators include: (1) indicators related to enterprise management, including but not limited to: total assets of enterprises, number of employees, etc. (total assets of enterprises refer to equipment assets used to generate economic benefits, and employees refer to human capital that generates economic benefits, mainly reflecting the operating efficiency of existing assets and human resources of enterprises); (2) input indicators related to enterprise technological innovation, including but not limited to: capital investment in facilities, equipment and talents used for technological research and development (this indicator reflects the extent to which research and development investment improves operating performance); (3) enterprise energy input indicators, divided into non-green energy and green energy. Non-green energy includes but is not limited to: crude oil, oil sands, asphalt, etc. (non-green energy is an input indicator. For upstream enterprises, it refers to the products directly mined. For downstream enterprises, it refers to the raw materials used for refining and processing. They will bring economic benefits and carbon footprints to enterprises as export products. There is a correlation between this input indicator and the output indicator of this model, which can reflect the performance level of this indicator in terms of enterprise operation and environment); green energy includes but is not limited to: natural gas, liquefied natural gas, biofuels, etc. (green energy is an input indicator. For upstream enterprises, it refers to low-carbon products directly mined. For downstream enterprises, it refers to low-carbon refined products produced through processing. In addition to generating economic benefits, this indicator more reflects the low-carbon performance level of the enterprise). Output indicators include: (1) positive indicators related to the economic benefits of the enterprise, including but not limited to: total output value, net profit, etc.; (2) negative indicators related to environmental pollution: carbon dioxide emissions across the entire value chain. The indicators for constructing the evaluation system can be selected according to specific needs and data availability, and the units can be unified.

[0300] Step 102: Calculate the negative output indicator of the enterprise - the carbon footprint of the entire value chain. This indicator consists of three parts of carbon footprints, namely, scope 1, scope 2 and scope 3 (the carbon footprints of scope 1, scope 2 and scope 3 are as follows: Figure 3 As shown, Figure 3In the above, Onshore means domestic, Offshore means overseas, Upstream means upstream, Midstream means midstream, GHG emissions scope1&2 means greenhouse gas emissions scope 1 and 2, GHG emissions scope3 means greenhouse gas emissions scope 3; Exploration means exploration, Development means development, Production means production, Processing means processing, Refining means refining, Marketing means marketing, Trading means trading, Product means product, Transport means transportation, Use of sold product means use of sold product, Supply Chain Missions means supply chain emissions, Maritime emissions means maritime emissions, Business Travel Missions means business travel emissions), Scope 1 and Scope 2 carbon footprints are currently disclosed by enterprises, Scope 3 carbon footprints need to be calculated. The calculation method is as follows:

[0301] (1) Statistics on all the products exported by each oil and gas energy company: including primary products, refined products, finished products, and products purchased from external suppliers and then exported (such as Figure 4 As shown), convert the mass unit into energy unit and calculate the total energy value of all exported products:

[0302]

[0303] In the formula, A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and then exported respectively;

[0304] The quality-energy conversion coefficients of common export products of oil and gas energy companies are shown in Table 1 (Table of conversion coefficients of net calorific values ​​of different energies):

[0305] Table 1

[0306]

[0307] (2) Considering that some carbon substances in oil and gas products will exist in the form of permanent carbon and will not participate in combustion emissions, a large amount of historical data research at home and abroad found that an average of about 8% of the carbon in crude oil products is stored in the form of permanent carbon and does not participate in external emissions, and an average of about 1.9% of the carbon in natural gas products is stored in the form of permanent carbon and does not participate in external emissions. The energy value of the final carbon emissions of the exported products can be calculated as follows:

[0308] Energy value of crude oil export products that contribute to carbon emissions = total energy of crude oil export products * (1–8%);

[0309] Energy value of natural gas export products that contribute to carbon emissions = total energy value of natural gas export products * (1–1.9%);

[0310] (3) Calculation of Scope 3 carbon footprint (unit: million tons of CO2 equivalent):

[0311]

[0312] Where A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and exported, respectively.

[0313] The carbon emission factor conversion coefficients are shown in Table 2 (Table of Conversion Coefficients of Carbon Emission Factors of Different Energy Sources):

[0314] Table 2

[0315]

[0316] It is worth noting that Table 1 and Table 2 only list the conversion coefficients of common product categories, which can be expanded according to the actual products of the enterprise in application.

[0317] Take ConocoPhillips as an example to calculate its carbon footprint across the entire value chain:

[0318] By checking the company's annual report, the company's crude oil production in 2021 was 829,000 barrels / day, liquefied natural gas was 142,000 barrels / day, asphalt was 69,000 barrels / day, and natural gas was 3,162 million cubic feet / day. The total energy value of the company's oil and gas products in 2021 is:

[0319] Total energy value of crude oil products involved in carbon emissions:

[0320] Crude oil: 829*1000*365*0.006 / 1000000*(1-8%)=1.67 (million terajoules)

[0321] Asphalt: 69*1000*365*0.007 / 1000000*(1-8%)=0.162 (million terajoules);

[0322] Total energy value of natural gas products involved in carbon emissions:

[0323] Natural gas: 3162 / 1000*365*1094 / 1000000*(1-1.9%)=1.24 (million terajoules)

[0324] Liquefied natural gas: 142*1000*365*0.004 / 1000000*(1-1.9%)=0.2(million terajoules);

[0325] Total carbon footprint of crude oil and natural gas products (scope 3):

[0326] 1.67*73.3+0.162*80.7+1.24*56.1+0.2*64.2=217.9 (million tons of CO2 equivalent);

[0327] The company's carbon footprint across the entire value chain:

[0328] Scope 1 + Scope 2 + Scope 3 = 16.2 + 217.9 = 234.1 (million tons of CO2 equivalent);

[0329] Step 103: Figure 5 As shown, a comprehensive evaluation model of enterprise management-environment DEA is constructed. The comprehensive performance score of the enterprise can be obtained through the following equations:

[0330]

[0331]

[0332]

[0333]

[0334]

[0335]

[0336]

[0337]

[0338]

[0339]

[0340] The calculation formula for the value of the enterprise's comprehensive operating level is:

[0341]

[0342] Wherein, x represents input item, e represents expected output item (take the first letter of ecnomic), p represents undesired output (since this embodiment is a comprehensive evaluation of operation and environment, pollution item is undesired output, so the first letter of pollution p is taken to represent it), m represents enterprise management input item (take the first letter of manage), t represents enterprise technological innovation input item (take the first letter of technic), g represents enterprise green environmental protection input item (take the first letter of green), q is the total number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (difference: j is used to traverse all enterprise algebras, k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dk represents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, xm represents the enterprise management index in the input item, xt represents the technological innovation index in the input item, xg represents the green environmental protection index in the input item (the purpose of xm, xt, xg is to use abbreviations to clearly identify the meaning of each item, x-input item, m-manage, t-technic, g-green), ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the technology input factor, Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * represents the optimal value, and θ1* represents the final efficiency score of the enterprise.

[0343] Step 104: Construct a DEA decomposition model for enterprise management level evaluation. The enterprise management level performance score can be obtained through the following mathematical model:

[0344]

[0345]

[0346]

[0347]

[0348]

[0349] The final enterprise management level evaluation value θ * It can be calculated by the following formula:

[0350]

[0351] In the formula, x represents the input item, e represents the expected output item (take the first letter of ecnomic), p represents the undesired output (since this embodiment is a comprehensive evaluation of operation and environment, the pollution item is the undesired output, so the first letter of pollution p is taken to represent it), m represents the enterprise management input item (take the first letter of manage), q is the sum of the number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (the difference: j is used to traverse all enterprise algebras, and k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l gis the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dk represents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-desirable item, xm represents the enterprise management index in the input item, and ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * represents the optimal value, and θ2* represents the enterprise management level score.

[0352] Step 105: Construct a DEA decomposition model for evaluating the enterprise's technological innovation level. The enterprise's technological innovation level performance score can be obtained through the following mathematical model:

[0353]

[0354]

[0355]

[0356]

[0357]

[0358] The final enterprise innovation level evaluation value θ * It can be calculated by the following formula:

[0359]

[0360] In the formula, x represents the input item (x in mathematical formulas often refers to the input item), e represents the expected output item (take the first letter of ecnomic), p represents the undesired output (because this embodiment is a comprehensive evaluation of operation and environment, pollution is an undesired output, so the first letter of pollution p is taken to represent it), t represents the enterprise technological innovation input item (take the first letter of technic), q is the total number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (the difference between j and k: j is used to traverse all enterprise algebras, and k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dk represents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-desirable item, xt represents the technological innovation index in the input item, and ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the technology input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * indicates the optimal value, and θ3* indicates the enterprise’s technological innovation level score.

[0361] Step A106: Construct a DEA decomposition model for evaluating the green environmental protection level of an enterprise. The green environmental protection level performance score of an enterprise can be obtained through the following mathematical model:

[0362]

[0363]

[0364]

[0365]

[0366]

[0367] The final enterprise green environmental protection level evaluation value θ * It can be calculated by the following formula:

[0368]

[0369] In the formula, x represents the input item (x in mathematical formulas often refers to the input item), e represents the expected output item (take the first letter of ecnomic), p represents the undesired output (because this embodiment is a comprehensive evaluation of operation and environment, pollution is an undesired output, so the first letter of pollution p is taken to represent it), g represents the green environmental protection input item of the enterprise (take the first letter of green), q is the total number of all enterprises included in the evaluation system, j and k are both the algebra of a certain enterprise (the difference between j and k: j is used to traverse all enterprise algebras, and k only takes one enterprise algebra at a time), l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l gis the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik Input indicator for item i of k-th enterprise (the difference is is the sum of the values ​​of the i-th input item of all enterprises, and x ik represents only the value of the i-th input item of the k-th enterprise), e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise (the difference is is the sum of the d-th expected output values ​​of all enterprises, and e dk represents only the expected output value of the dth item of the kth enterprise); p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise (the difference is is the sum of the values ​​of the u-th undesired output items of all enterprises, and p uk It only represents the value of the u-th undesired output item of the k-th enterprise); is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-desirable item, xg represents the green environmental protection index in the input item, and ST represents the constraint condition (a mathematical symbol); are slack variables related to input items, expected output items, and unexpected output items, respectively. Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T represents the unknown intensity variable (i.e., λ in the formula j ), the parameter with * indicates the optimal value, and θ4* indicates the green environmental protection level score of the enterprise.

[0370] As an example, the operating conditions of 15 international oil and gas energy companies in the three years from 2019 to 2021 were evaluated in terms of comprehensive performance, management performance and environmental performance. Table 3 shows the statistical data of the 15 participating companies.

[0371] Table 3

[0372]

[0373] According to the model shown in step A103, a comprehensive evaluation mathematical model is constructed by taking ConocoPhillips as an example. Other companies and sub-models can be constructed as a reference:

[0374]

[0375]

[0376]

[0377]

[0378]

[0379] R xg =1 / (10584450-0) / 6=0.000000016

[0380] R e =1 / (424837-4713) / 6=0.000000397

[0381] R p =1 / (1889-25) / 6=0.0000894;

[0382] After calculation by the program, the final performance scores of 15 international oil and gas energy companies are shown in Table 4 (Comprehensive performance, management performance and environmental performance score table of 15 international oil and gas energy companies):

[0383] Table 4

[0384]

[0385] Data interpretation: Taking Saudi Aramco and Neste as examples, the two companies scored 1 in all indicators, and are leading companies with excellent overall performance in the industry. The indicators of other companies that scored less than 1 all mean that there is room for improvement to varying degrees compared with leading companies.

[0386] Step A107: In order to evaluate the trend of total factor productivity of the same enterprise in different periods (longitudinal time), a Luenberger production index model is constructed. The specific calculation formula is as follows:

[0387]

[0388] In the formula, TFP is the abbreviation of Total Factor Productivity, LPI is the abbreviation of Luenberger Productivity Index, t represents the current time step, t+1 represents the next time step (the comparison of two time steps can reflect the change of enterprise efficiency, for example, t=2020, t+1=2021), j is the enterprise algebra (different enterprises are replaced by different numbers), x represents all input items, e represents all expected output items, p represents all undesired output items, represents all input and output items of enterprise j at time t (a parameter set used to calculate the efficiency value of a specific category of enterprise J at time t, such as comprehensive operation, enterprise management, technological innovation or green environmental protection), represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1;

[0389] The level of total factor productivity (TFP) represents the productivity change compared to the base year, which can be further broken down into technological change (TECHCH) and efficiency change (EFFCH) to better understand the relative importance of each component. The calculation formula is defined as follows:

[0390]

[0391]

[0392]

[0393] In the formula, TECHCH is the abbreviation of Technic change, EFFCH is the abbreviation of Efficiency Change, t represents the current time step, t+1 represents the next time step (the comparison of two time steps can reflect the change in enterprise efficiency, for example, t=2020, t+1=2021), j is the enterprise algebra (different enterprises are replaced by different numbers), x represents all input items, e represents all expected output items, p represents all undesired output items, represents all input and output items of enterprise j at time t (used to calculate the efficiency value of a specific category of enterprise J at time t, such as comprehensive operation, enterprise management, technological innovation or green environmental protection), represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1.

[0394] Taking ConocoPhillips as an example, the TFP values ​​of management performance and environmental performance from 2019 to 2021 are:

[0395] It means that the performance objective function (comprehensive performance / management performance / innovation performance / environmental performance) of enterprise j in 2021 and the corresponding indicator data of the enterprise in 2019 are used to construct the corresponding performance evaluation mathematical model and solve the inefficiency value; It means that the performance objective function (comprehensive performance / management performance / innovation performance / environmental performance) of enterprise j in 2021 and the corresponding indicator data of the enterprise in 2021 are used to construct the corresponding performance evaluation mathematical model and solve the inefficiency value. After solving, the inefficiency values ​​corresponding to the data of ConocoPhillips in different years are:

[0396]

[0397]

[0398]

[0399]

[0400]

[0401]

[0402]

[0403]

[0404]

[0405]

[0406] Table 5 (Performance Trends of 15 Oil and Gas Energy Companies from 2019 to 2021) lists the calculated total factor productivity scores of the 15 companies:

[0407] Table 5

[0408]

[0409] Data interpretation: In Table 5, 0 means no significant change in corporate performance; positive numbers represent improved performance; negative numbers represent worsening performance. Based on this, the three-year performance change trend (performance level improvement or decline) of the company from 2019 to the end of 2021 can be quantified and identified.

[0410] Step A108: For enterprises with poor performance or regression, in order to accurately identify the source factors of enterprise inefficiency, a dual model of the enterprise operation-environment DEA comprehensive evaluation model in step A103 is constructed to analyze the effectiveness of the enterprise's input and output factors, which helps the enterprise to propose targeted strategies and methods to improve operational efficiency. The specific model is as follows:

[0411]

[0412]

[0413]

[0414] σ: Unrestricted variable

[0415]

[0416]

[0417]

[0418]

[0419]

[0420] In the formula, x represents the input item, j and k are both the algebra of a certain enterprise (the difference between j and k is that j is used to traverse all enterprise algebras, and k only takes one enterprise algebra for one calculation), e represents the expected output item (takes the first letter of ecnomic), p represents the undesired output (since this embodiment is a comprehensive evaluation of operation and environment, the pollution item is the undesired output, so the first letter of pollution p is taken to represent it), m represents the enterprise management input item (takes the first letter of manage), t represents the enterprise technological innovation input item (takes the first letter of technic), g represents the enterprise green environmental protection input item (takes the first letter of green), q is the total number of all enterprises included in the evaluation system, i is the index algebra of enterprise management in the input item, l m is the sum of the number of indicators related to enterprise management in the input items, r is the number of indicators related to enterprise technological innovation in the input items, l tis the sum of the number of indicators related to enterprise technological innovation in the input items, s is the number of indicators related to enterprise green environmental protection in the input items, l g is the total number of indicators related to green environmental protection in the input items, d is the number of indicators in the desired output items (take the first letter of desire), M is the total number of indicators in the desired output items, u is the number of indicators in the undesired output items (take the first letter of undesire), and N is the total number of indicators in the undesired output items. Combining the above single letter interpretations, we can get It represents the i-th indicator value in the enterprise management input item of the k-th participating enterprise in the objective function. It represents the rth index value of the technological innovation input item of the kth participating enterprise in the objective function. represents the sth indicator value of the green environmental protection input item of the kth participating enterprise in the objective function, e dk represents the dth indicator value in the expected output item of the kth participating enterprise in the objective function, p uk It represents the uth indicator value in the non-expected output item of the kth participating enterprise in the objective function; Represents the i-th indicator value of the enterprise management input item of the j-th participating enterprise in the constraint conditions, Represents the rth indicator value of the technology innovation input item of the jth participating enterprise in the constraint conditions, Represents the sth indicator value of the green environmental protection input item of the jth participating enterprise. is the weight parameter of enterprise management indicators in the input items, is the weight parameter of enterprise technological innovation indicators in the input items, is the weight parameter of the green environmental protection index of the enterprise in the input item, is the weight parameter of the expected item in the output item, is the weight parameter of the non-desired item in the output item, ST represents the constraint condition (a mathematical symbol). σ is an unrestricted variable, v i , z r ,y s ,u d , w u They represent the dual variables related to management input, technology input, environmental input, expected output and undesired output. They can analyze the effectiveness of various inputs and outputs in efficiency evaluation. If each dual variable is greater than the corresponding R value, it means that the factor is obviously effective in improving enterprise efficiency, otherwise it means that the effect is limited.

[0421] Take ConocoPhillips as an example to demonstrate the calculation of dual variables:

[0422] Min v1*90661+v2*9900+v3*2199125-y1*1262618-u1*48349+w1*234+σ

[0423]

[0424] After calculation by the program, the data of each company is shown in Table 6 (Dual Variable Performance Score Table):

[0425] Table 6

[0426]

[0427] Data interpretation: Taking Saudi Aramco as an example, the employee indicator dual variable value is 0.1538*10 -4 , which is greater than the corresponding R2 value of 0.4*10 -6 , indicating that the number of employees in the enterprise is relatively streamlined, indicating that the employee index is effective in improving the performance of the enterprise; the total assets and non-green energy indicators are equal to the R1 value of 0.294*10 -6 And R3 value 0.76*10 -8 , indicating that these two indicators have limited help in improving corporate performance. Since the corporate employee indicators significantly improve corporate efficiency, the overall management performance evaluation is effective. The green energy index is equal to the corresponding R4 value of 0.16*10 -7 , indicating that the company's investment in environmental protection is limited, so the evaluation is limited. Based on the current indicator data, the company's comprehensive performance evaluation is effective.

[0428] Step A109: Based on the calculation results, the enterprise measurement data of each period and the measurement data of the same enterprise in different periods are sorted and analyzed according to the categories of enterprise comprehensive operation level, enterprise management level, enterprise technological innovation level and enterprise green environmental protection level. The industry leaders at the efficiency frontier and the trend of enterprise performance changes can be identified, and enterprises with poor performance can also be identified. Furthermore, by scoring the performance of the dual variables, it is helpful to tailor technical strategies for performance improvement for different enterprises and provide support for the sustainable development of enterprises.

[0429] Analysis example: According to the evaluation results of step A108, total assets and non-green energy indicators have limited help in improving corporate performance, indicating that the company's total assets are somewhat redundant and the utilization rate of non-green energy put into production needs to be further improved. Based on this, it is recommended that the company (1) conduct asset evaluation and divest inefficient assets; (2) for upstream companies, reduce non-green energy output or improve mining technology to increase benefits; for downstream companies, improve the technical added value of refining products or reduce carbon content to improve efficiency.

[0430] Figure 6is a block diagram of an enterprise low-carbon management performance evaluation system of this exemplary embodiment, such as Figure 6 As shown, an exemplary embodiment of the present disclosure provides a system for evaluating the low-carbon business performance of an enterprise, comprising:

[0431] A determination unit 10, for determining key indicators for enterprise performance evaluation according to the enterprise's operating characteristics;

[0432] An establishing unit 20 is used to establish a comprehensive evaluation model according to key indicators, evaluate the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtain the comprehensive operation level of the enterprise;

[0433] The decomposition unit 30 is used to decompose the comprehensive evaluation model to form multiple evaluation sub-models, and classify and evaluate the enterprises through the multiple evaluation sub-models.

[0434] Specifically, it includes:

[0435] The first construction unit is used to construct a production index model for the comprehensive evaluation model, and to measure the total factor productivity change trend of the same enterprise in different periods through the production index model.

[0436] Specifically, it includes:

[0437] The second construction unit is used to construct a dual model of the comprehensive evaluation model. Through the dual model, the sources that affect the operating performance of each enterprise are decomposed and measured to obtain the inefficient factors in the enterprise's input factors.

[0438] Figure 7 Schematic diagram of the structure of a low-carbon business performance evaluation device for an enterprise according to the exemplary embodiment. Figure 7 As shown, corresponding to the enterprise low-carbon business performance evaluation method provided above, the present invention also provides an enterprise low-carbon business performance evaluation device. Since the embodiment of the device is similar to the above method embodiment, the description is relatively simple. For relevant parts, please refer to the description of the above method embodiment part. The device described below is only schematic. The device may include: a processor (processor) 1, a memory (memory) 2 and a communication bus (i.e., the above device bus) and a search engine, wherein the processor 1 and the memory 2 communicate with each other through the communication bus and communicate with the outside through the communication interface. The processor 1 can call the logic instructions in the memory 2 to execute the enterprise low-carbon business performance evaluation method.

[0439] In addition, the logic instructions in the above-mentioned memory 2 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: a storage chip, a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes.

[0440] On the other hand, an embodiment of the present invention further provides a processor-readable storage medium, on which a computer program 3 is stored. When the computer program 3 is executed by the processor 1, the enterprise low-carbon business performance evaluation method provided in the above embodiments is implemented.

[0441] The processor-readable storage medium can be any available medium or data storage device that can be accessed by the processor 1, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NANDFLASH), solid-state drive (SSD)), etc.

[0442] The above are only preferred implementations of the present disclosure, and the protection scope of the present disclosure is not limited to the above embodiments. All technical solutions under the concept of the present disclosure belong to the protection scope of the present disclosure. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present disclosure should be regarded as the protection scope of the present disclosure.

Claims

1. A method for evaluating the performance of low-carbon management of an enterprise, characterized in that: include: Determine the key indicators for enterprise performance evaluation based on the enterprise's operating characteristics; Establish a comprehensive evaluation model based on key indicators, evaluate the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtain the comprehensive operation level of the enterprise; The comprehensive evaluation model is decomposed to form a plurality of evaluation sub-models, and the enterprises are classified and evaluated through the plurality of evaluation sub-models.

2. The method for evaluating the low-carbon management performance of an enterprise according to claim 1, characterized in that: The decomposition of the comprehensive evaluation model to form a plurality of evaluation sub-models, and the classification evaluation of the enterprises through the plurality of evaluation sub-models includes: A production index model is constructed for the comprehensive evaluation model, and the total factor productivity change trend of the same enterprise in different periods is calculated through the production index model.

3. The method for evaluating enterprise low-carbon management performance according to claim 1, characterized in that: The decomposition of the comprehensive evaluation model to form a plurality of evaluation sub-models, and the classification evaluation of the enterprises through the plurality of evaluation sub-models includes: A dual model of the comprehensive evaluation model is constructed, and the sources that affect the operating performance of each enterprise are decomposed and measured through the dual model to obtain the inefficient factors in the enterprise's input factors.

4. The method for evaluating enterprise low-carbon management performance according to claim 1, characterized in that: Decomposing the comprehensive evaluation model to form multiple evaluation sub-models, and classifying and evaluating the enterprises through the multiple evaluation sub-models includes: Decompose the comprehensive evaluation model to form an enterprise management level evaluation sub-model, and obtain the enterprise management level through the enterprise management level evaluation sub-model; Decompose the comprehensive evaluation model to form a sub-model for evaluating the enterprise's technological innovation level, and obtain the enterprise's technological innovation level through the sub-model; Decompose the comprehensive evaluation model to form an enterprise green environmental protection level evaluation sub-model; obtain the enterprise green environmental protection level through the enterprise green environmental protection level evaluation sub-model.

5. The method for evaluating enterprise low-carbon management performance according to claim 4, characterized in that: include: Rank the participating enterprises in terms of their comprehensive operation level, management level, technological innovation level, and green environmental protection level; Analyze corporate performance based on the ranking results and form a performance improvement strategy.

6. The method for evaluating enterprise low-carbon management performance according to claim 1, characterized in that: According to the business characteristics of the enterprise, the key indicators for enterprise performance evaluation include: Collect annual business data of enterprises and analyze business characteristics based on the annual business data; According to the business characteristics of the enterprise, the annual business data of the enterprise is divided into input indicators and output indicators; The input indicators include: indicators related to enterprise management, capital investment indicators related to enterprise technological innovation, and enterprise energy investment indicators; The output indicators include positive output indicators related to business objectives and negative output indicators related to environmental pollution.

7. The method for evaluating enterprise low-carbon management performance according to claim 6, characterized in that: The comprehensive evaluation model is established according to the key indicators, and the comprehensive performance of the enterprise is evaluated by the comprehensive evaluation model to obtain the comprehensive operation level of the enterprise, which includes: Calculate the negative output indicators related to environmental pollution among the key indicators to obtain the total carbon emissions of the entire value chain of the enterprise.

8. The method for evaluating enterprise low-carbon management performance according to claim 7, characterized in that: The negative output indicators related to environmental pollution in the calculation of key indicators to obtain the total carbon emissions of the entire value chain of the enterprise include: Obtain the total amount of Scope 1 and Scope 2 carbon emissions based on the data disclosed by the company; The total carbon emissions in scope 3 are calculated based on the energy value of oil and gas export products involved in carbon emissions and the corresponding carbon emission factor conversion coefficient; Sum up the total carbon emissions of scope 1, scope 2 and scope 3 to form the total carbon emissions of the entire value chain of the enterprise.

9. The method for evaluating enterprise low-carbon management performance according to claim 8, characterized in that: The total carbon emissions in scope 3 calculated based on the energy value of oil and gas export products involved in carbon emissions and the corresponding carbon emission factor conversion coefficient include: Statistics on all the export products of an enterprise, including primary products, refined products, finished products and products purchased from outside and then exported; Calculate the total energy value of the export product. The calculation formula for the total energy value of the export product is: In the formula, A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and then exported respectively; Calculate the energy value of the final carbon emission of the exported products. The calculation formula for the energy value of the final carbon emission of the exported products is: Energy value of crude oil export products that participate in carbon emissions = total energy of crude oil export products * (1–R1%), where R1 represents the energy ratio coefficient of crude oil export products that is stored in the form of permanent carbon and does not participate in emissions; Energy value of natural gas export products that participate in carbon emissions = total energy of natural gas export products * (1–R2%), where R2 represents the energy ratio coefficient of natural gas export products that is stored in the form of permanent carbon and does not participate in emissions; Calculate the total amount of carbon emissions in scope 3. The calculation formula for the total amount of carbon emissions in scope 3 is: Where A, B, C, and D represent the quality of primary products, refined products, finished products, and products purchased from outside and exported, respectively.

10. The method for evaluating enterprise low-carbon management performance according to claim 1, characterized in that: The comprehensive evaluation model is established based on key indicators, and the comprehensive performance of the enterprise is evaluated through the comprehensive evaluation model to obtain the comprehensive operation level of the enterprise, including: The comprehensive evaluation model is: The calculation formula for the value of the enterprise's comprehensive operating level is: In the formula, x represents input items, e represents expected output items, p represents unexpected output items, m represents enterprise management input items, t represents enterprise technological innovation input items, g represents enterprise green environmental protection input items, q is the sum of all enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik is the i-th input indicator of the k-th enterprise; e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, xm represents the enterprise management index in the input item, xt represents the technological innovation index in the input item, and xg represents the green environmental protection index in the input item; are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the technology input factor, Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , the parameters marked with * represent the optimal values, and θ1* represents the final efficiency score of the enterprise.

11. The method for evaluating enterprise low-carbon management performance according to claim 4, characterized in that: The decomposition of the comprehensive evaluation model forms an enterprise management level evaluation sub-model, and obtaining the enterprise management level through the enterprise management level evaluation sub-model includes: The sub-model for enterprise management level evaluation is: The calculation formula of enterprise management level value is: In the formula, x represents input items, e represents expected output items, p represents unexpected output items, m represents enterprise management input items, q is the sum of all enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik For the i-th input indicator of the k-th enterprise, e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, xm represents the enterprise management index in the input item, are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the management input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , the parameters marked with * represent the optimal values, and θ2* represents the enterprise management level score.

12. The method for evaluating enterprise low-carbon management performance according to claim 4, characterized in that: The decomposition comprehensive evaluation model forms a sub-model for evaluating the enterprise's technological innovation level. The enterprise's technological innovation level is obtained through the sub-model for evaluating the enterprise's technological innovation level, including: The sub-model for evaluating the enterprise's technological innovation level is: The calculation formula for the value of enterprise technological innovation level is: In the formula, x represents input items, e represents expected output items, p represents unexpected output items, t represents enterprise technological innovation input items, q is the sum of all enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik For the i-th input indicator of the k-th enterprise, e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, and xt represents the technological innovation index in the input item; are slack variables related to input items, expected output items, and unexpected output items, respectively. represents the slack variable of the technology input factor, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , the parameters marked with * represent the optimal values, and θ3* represents the enterprise’s technological innovation level score.

13. The method for evaluating enterprise low-carbon management performance according to claim 4, characterized in that: The decomposition comprehensive evaluation model forms a sub-model for evaluating the green environmental protection level of the enterprise; The green environmental protection level of an enterprise is obtained through the enterprise green environmental protection level evaluation sub-model, including: The sub-model for evaluating the green environmental protection level of an enterprise is: The calculation formula for the value of an enterprise's green environmental protection level is: In the formula, x represents input items, e represents expected output items, p represents undesired output items, g represents green environmental protection input items of enterprises, q is the sum of the number of enterprises included in the evaluation system, j and k are the algebra of a certain enterprise, l m is the total number of indicators related to enterprise management in the input items, l t is the total number of indicators related to enterprise technological innovation in the input items, l g is the total number of indicators related to green environmental protection in the input items, i is the algebra of one of the indicators in the input items; M is the total number of indicators in the expected output items, d is the algebra of one of the indicators; N is the total number of indicators in the non-expected output items, u is the algebra of one of the indicators; x ij is the i-th input indicator of the j-th enterprise, x ik For the i-th input indicator of the k-th enterprise, e dj is the dth expected output indicator of the jth enterprise, e dk is the dth expected output indicator of the kth enterprise; p uj is the u-th non-expected output indicator of the j-th enterprise, p uk The u-th undesirable output indicator of the k-th enterprise; is the input item weight parameter, is the expected item weight parameter, is the weight parameter of the non-expected item, xg represents the green environmental protection index in the input item, are slack variables related to input items, expected output items, and unexpected output items, respectively. Represents the slack variable of green energy input factors, represents the slack variable of the economic output factor, Represents the slack variables of carbon emission pollution factors; column vector λ=(λ1,...,λ q ) T Represents the unknown intensity variable, i.e., λ in the formula j , the parameters marked with * represent the optimal values, and θ4* represents the green environmental protection level score of the enterprise.

14. The method for evaluating enterprise low-carbon management performance according to claim 2, characterized in that: The comprehensive evaluation model is used to construct a production index model, and the production index model is used to measure the change trend of the total factor productivity of the same enterprise in different periods, including: The Luenberger production index model is constructed to measure the changes in the total factor productivity level of the same enterprise in different periods, which is used to measure the changes in the enterprise's operating level over time. The calculation formula is: In the formula, TFP represents total factor productivity, LPI represents Luenberger production index, t represents the current time step, t+1 represents the next time step, j represents the number of enterprises, x represents all input items, e represents all expected output items, and p represents all undesired output items. represents all input and output items of enterprise j at time t, represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1; The trend of total factor productivity change is divided into technological change and efficiency change, and the calculation formula is: In the formula, TECHCH represents technological innovation change, EFFCH represents efficiency change, t represents the current time step, t+1 represents the next time step, j represents the enterprise algebra, x represents all input items, e represents all expected output items, and p represents all undesired output items. represents all input and output items of enterprise j at time t, represents all input and output items of enterprise j at time t+1, yes The inefficiency value in period t is, yes The inefficiency value in period t+1 is, yes The inefficiency value in period t is, yes The inefficiency value in period t+1.

15. The method for evaluating enterprise low-carbon management performance according to claim 3, characterized in that: The dual model of the comprehensive evaluation model is used to decompose and measure the sources that affect the operating performance of each enterprise, and obtain the inefficient factors in the enterprise input factors, including: The dual model is: Unlimited variables In the formula, x represents the input item, j and k both represent the number of a certain enterprise, e represents the expected output item, p represents the unexpected output, m represents the enterprise management input item, t represents the enterprise technology innovation input item, g represents the enterprise green environmental protection input item, q is the total number of all enterprises included in the evaluation system, i is the number of indicators related to enterprise management in the input item, l m is the sum of the number of indicators related to enterprise management in the input items, r is the number of indicators related to enterprise technological innovation in the input items, l t is the sum of the number of indicators related to enterprise technological innovation in the input items, s is the number of indicators related to enterprise green environmental protection in the input items, l g is the sum of the number of indicators related to green environmental protection in the input items, d is the number of indicators in the expected output items, M is the sum of the number of indicators in the expected output items, u is the number of indicators in the non-expected output items, N is the sum of the number of indicators in the non-expected output items, It represents the i-th indicator value in the enterprise management input item of the k-th participating enterprise in the objective function. It represents the rth index value of the technological innovation input item of the kth participating enterprise in the objective function. represents the sth indicator value of the green environmental protection input item of the kth participating enterprise in the objective function, e dk represents the dth indicator value in the expected output item of the kth participating enterprise in the objective function, p uk It represents the uth indicator value in the non-expected output item of the kth participating enterprise in the objective function; Represents the i-th indicator value of the enterprise management input item of the j-th participating enterprise in the constraint conditions, Represents the rth indicator value of the technology innovation input item of the jth participating enterprise in the constraint conditions, Represents the sth indicator value of the green environmental protection input item of the jth participating enterprise. is the weight parameter of enterprise management indicators in the input items, is the weight parameter of enterprise technological innovation indicators in the input items, is the weight parameter of the green environmental protection index of the enterprise in the input item, is the weight parameter of the expected item in the output item, is the weight parameter of the non-expected item in the output item, σ is an unrestricted variable, v i , z r ,y s ,u d , w u They represent dual variables related to management input, technological input, environmental input, expected output and unexpected output respectively.

16. An enterprise low-carbon management performance evaluation system, characterized in that: include: The determination unit is used to determine the key indicators for enterprise performance evaluation based on the enterprise's operating characteristics; An establishment unit is used to establish a comprehensive evaluation model based on key indicators, evaluate the comprehensive performance of the enterprise through the comprehensive evaluation model, and obtain the comprehensive operation level of the enterprise; The decomposition unit is used to decompose the comprehensive evaluation model to form multiple evaluation sub-models, and classify and evaluate the enterprises through the multiple evaluation sub-models.

17. The enterprise low-carbon management performance evaluation system according to claim 16 is characterized in that: include: The first construction unit is used to construct a production index model for the comprehensive evaluation model, and to measure the total factor productivity change trend of the same enterprise in different periods through the production index model.

18. The enterprise low-carbon management performance evaluation system according to claim 16, characterized in that: include: The second construction unit is used to construct a dual model of the comprehensive evaluation model. Through the dual model, the sources that affect the operating performance of each enterprise are decomposed and measured to obtain the inefficient factors in the enterprise's input factors.

19. An enterprise low-carbon management performance evaluation device, characterized in that: include: Processor and memory; The memory is used to store computer programs, and the processor calls the computer programs stored in the memory to execute the enterprise low-carbon business performance evaluation method according to any one of claims 1 to 15.

20. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to execute the enterprise low-carbon business performance evaluation method according to any one of claims 1 to 15.

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