Method and system for generating composite ESG evaluation model

Abstract

The invention discloses a generation method and system of a composite ESG evaluation model. According to the method, various indexes of an evaluation system are determined, and historical internal and external information of an evaluation object is collected. After the validity of the internal information is ensured through keyword verification, quantization processing is carried out, and a first weight value is given; external information is directly quantized, and a second weight value is given; according to the method, the information of two different sources is combined in a quantitative form to generate the composite ESG evaluation model, so that the long-term sustainable development performance of the evaluation object can be reflected, and the short-term risk of the evaluation object can be evaluated. Through the method, the organization can comprehensively and accurately understand and manage the sustainable development capability.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method and system for generating a composite ESG evaluation model. Background Art

[0002] The method of using multi-dimensional non-financial indicators such as environment, society and governance (ESG) to evaluate the sustainable development performance of organizations has been widely accepted and used. In such evaluations (such as ESG ratings), the evaluation agency collects ESG-related information related to the evaluation object (such as the enterprise) (such as social responsibility reports, reward and punishment information published by regulatory agencies, information released by the media and third-party agencies, etc.), and then conducts a series of information analysis and calculations, benchmarking comparisons, judgments or predictions to draw evaluation conclusions on the evaluation object.

[0003] The currently public ESG evaluation systems generally have the following characteristics: 1) adopting a multi-level indicator system; 2) starting with the bottom-level indicators for quantitative scoring; 3) setting one or more layers of weight coefficients; 4) summarizing and accumulating the weighted scores of indicators at all levels to obtain a total score and obtaining a rating conclusion based on this.

[0004] However, the current ESG evaluation system only lacks the basic principles or methods for determining the evaluation index system itself for enterprises, which has led to the problem of numerous evaluation systems and poor correlation of evaluation conclusions in the current market. In addition, the authenticity and influence of some external information related to corporate sustainable development released by social media are difficult to judge immediately. It is unreasonable for such information to directly cause changes in sustainable performance evaluation results without time verification. The currently published evaluation methods all use a single number or letter form to represent the ESG performance or risk of the evaluated object. However, this single representation form cannot immediately and clearly distinguish the long-term sustainable development performance of the evaluated object from the short-term risks it faces, and cannot fully reflect the situation of the evaluated object. In addition, some published evaluation methods only rely on automatic processing of past network information, which has a certain lag. Summary of the invention

[0005] Based on this, the embodiments of the present application provide a method and system for generating a composite ESG evaluation model, which can solve and improve the problems existing in the prior art.

[0006] In a first aspect, a method for generating a composite ESG evaluation model is provided, the method comprising:

[0007] Determine the various indicators of the composite ESG evaluation system, and collect historical internal information and historical external information of the evaluation object according to the corresponding indicators; among which, internal information is used to represent the information released by the evaluation object itself, and external information is used to represent relevant information released by non-evaluation objects themselves;

[0008] Verify the validity of historical internal information, quantify the verified historical internal information, and assign the quantified historical internal information as the first weight to the corresponding indicator; directly quantify the historical external information, and assign the quantified historical external information as the second weight to the corresponding indicator;

[0009] A composite ESG evaluation model is generated according to the weights of various indicators of the composite ESG evaluation system; wherein, the evaluation results of the evaluation indicators in the composite ESG evaluation model include two dimensions, the first weight value corresponds to the first dimension, and the second weight value corresponds to the second dimension.

[0010] Optionally, generating a composite ESG evaluation model according to the weights of various indicators of the composite ESG evaluation system also includes:

[0011] Obtain the current internal information and current external information of the evaluation object;

[0012] Verify the validity of the current internal information, quantify the verified current internal information, and assign the quantified current internal information as the first weight to the corresponding indicator; directly quantify the current external information, and assign the quantified current external information as the second weight to the corresponding indicator;

[0013] The evaluation results of the composite ESG evaluation model are updated using the weight values ​​corresponding to the current internal information and the current external information.

[0014] Optionally, historical internal information and historical external information of the evaluation object are collected corresponding to each indicator, wherein the internal information specifically includes financial report information, social responsibility report information, and sustainable development report information; the external information specifically includes information released by regulatory agencies, media, and third-party agencies.

[0015] Optionally, the validity of historical internal information is verified, including:

[0016] Define keywords related to the evaluation indicators and pre-process the collected internal information, including text cleaning and word segmentation;

[0017] Use text search techniques to match preprocessed text with defined keywords;

[0018] Based on the results of keyword matching, text paragraphs containing keywords are screened out, and context analysis is performed on the screened information to verify the validity of the information; wherein, verifying the validity of the information includes verifying the release time, release source, and consistency of the information.

[0019] Optionally, the verified historical internal information is quantified, and the quantified historical internal information is assigned to the corresponding indicator as a first weight, further comprising:

[0020] The quantified results of each indicator are accumulated to obtain a first weight value; wherein the first weight value is expressed in the form of a letter combination.

[0021] Optionally, the historical external information is directly quantified, and the quantified historical external information is assigned to the corresponding indicator as the second weight, further comprising:

[0022] The quantified results of each indicator are accumulated to obtain a second weight value; wherein the second weight value is expressed in the form of a number.

[0023] In a second aspect, a system for generating a composite ESG evaluation model is provided, the system comprising:

[0024] The acquisition module is used to determine the various indicators of the composite ESG evaluation system and collect the historical internal information and historical external information of the evaluation object according to the corresponding indicators; among which, the internal information is used to represent the information released by the evaluation object itself, and the external information is used to represent the relevant information released by non-evaluation objects themselves;

[0025] The quantification module is used to verify the validity of historical internal information, quantify the verified historical internal information, and assign the quantified historical internal information as the first weight to the corresponding indicator; directly quantify the historical external information, and assign the quantified historical external information as the second weight to the corresponding indicator;

[0026] A generation module is used to generate a composite ESG evaluation model according to the weights of various indicators of the composite ESG evaluation system; wherein the evaluation results of the evaluation indicators in the composite ESG evaluation model include two dimensions, the first weight value corresponds to the first dimension, and the second weight value corresponds to the second dimension.

[0027] In a third aspect, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the generation method described in any one of the first aspects is implemented.

[0028] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, any generation method described in the first aspect is implemented.

[0029] In a fifth aspect, a computer program product is provided, comprising a computer program / instruction, which, when executed by a processor, implements any generation method described in the first aspect.

[0030] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0031] Reasonable sustainable development performance evaluation systems can be designed and evaluated for different types of organizations (including non-corporate organizations).

[0032] A forward-looking and guiding sustainable development performance evaluation system can be designed to play a leading role.

[0033] By separating the internal information processing process from the external information processing process, the problem of cycle differences in internal and external information analysis can be addressed.

[0034] Through immediate and secondary processing of external information, the short-term risks of external information related to sustainable development and the impact of long-term basic sustainable development performance levels are reasonably combined.

[0035] The evaluation conclusions reflect both the long-term sustainable development performance level and short-term risks of the evaluated targets. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0037] Figure 1 A flowchart of a method for generating a composite ESG evaluation model provided in an embodiment of the present application;

[0038] Figure 2 This is a schematic diagram of the composite ESG evaluation presentation format of an embodiment of the present application;

[0039] Figure 3 A block diagram of a system for generating a composite ESG evaluation model provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0042] In the description of the present invention, unless otherwise specified, "plurality" means two or more than two. The terms "first" and "second" in the specification and claims of the present invention and the above-mentioned drawings are intended to distinguish the objects referred to. For schemes with a sequential flow, this terminology does not have to be understood as describing a specific order or sequence. For schemes with device structures, this terminology does not distinguish between importance, positional relationships, etc.

[0043] In addition, the terms "comprises", "has" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that have been explicitly listed, but may also include other steps or units that are not explicitly listed but are inherent to these processes, methods, products or apparatuses, or steps or units that are added based on further optimization schemes conceived by the present invention.

[0044] To facilitate understanding of this embodiment, a method for generating a composite ESG evaluation model disclosed in the embodiment of this application is first described in detail. Figure 1 , which shows a flow chart of a method for generating a composite ESG evaluation model provided in an embodiment of the present application. The method may include the following steps:

[0045] S1. Determine the various indicators of the composite ESG evaluation system, and collect historical internal and external information of the evaluation object according to the corresponding indicators.

[0046] Among them, internal information is used to represent information released by the evaluation object itself, and external information is used to represent relevant information released by non-evaluation objects themselves. Internal information specifically includes financial report information, social responsibility report and other types of sustainable development report information, etc., which are released by the evaluation object through various channels; external information specifically includes information released by regulatory agencies, media and third-party organizations.

[0047] S2, verify the validity of historical internal information, quantify the verified historical internal information, and assign the quantified historical internal information as the first weight to the corresponding indicator; directly quantify the historical external information, and assign the quantified historical external information as the second weight to the corresponding indicator.

[0048] Specifically, the validity of historical internal information is verified, including:

[0049] Define keywords related to the evaluation indicators and pre-process the collected internal information, including text cleaning and word segmentation; use text search technology to match the pre-processed text with the defined keywords; based on the results of keyword matching, filter out text paragraphs containing keywords, and perform contextual analysis on the filtered information to verify the validity of the information; verifying the validity of the information includes verifying the release time, release source, and consistency of the information.

[0050] S3, generate a composite ESG evaluation model based on the weights of various indicators of the composite ESG evaluation system.

[0051] The evaluation results of the evaluation indicators in the composite ESG evaluation model include two dimensions, the first weight value corresponds to the first dimension, and the second weight value corresponds to the second dimension. The quantitative results of each indicator are accumulated to obtain the first weight value; wherein the first weight value is expressed in the form of a combination of letters. The quantitative results of each indicator are accumulated to obtain the second weight value; wherein the second weight value is expressed in the form of a number.

[0052] In an optional embodiment of the present application, it also includes obtaining current internal information and current external information of the evaluation object;

[0053] Verify the validity of the current internal information, quantify the verified current internal information, and assign the quantified current internal information as the first weight to the corresponding indicator; directly quantify the current external information, and assign the quantified current external information as the second weight to the corresponding indicator;

[0054] The evaluation results of the composite ESG evaluation model are updated using the weight values ​​corresponding to the current internal information and the current external information.

[0055] In the embodiment of the present application, the sustainable development performance evaluation system is constructed by personnel with relevant professional knowledge background. The sustainable development performance evaluation system construction method includes the following steps:

[0056] 1. Construction of the initial indicator system for sustainable development performance evaluation

[0057] 1) List the categories of substantive and relevant indicators involved in the sustainable development of the evaluation object (individual or group), such as environment, society, governance or economy.

[0058] 2) Under each related indicator category, identify indicators with substantive representational significance (for example, divide indicators such as resource use and emissions in the environmental field).

[0059] 3) Under each indicator, if the sub-level substantive indicators can be further subdivided, then list the sub-level substantive indicators. (For example, sub-level indicators such as water consumption and energy consumption can be divided under the resource use indicator).

[0060] 4) If the next-level substantive indicators can be further subdivided under the next-level indicators, the next-level substantive indicators should continue to be listed.

[0061] 2. Initial system verification of sustainable development performance evaluation

[0062] 1) Check whether each indicator of the indicator system meets the following requirements: the indicator has at least one short-term or long-term substantial impact on the evaluation object or the related parties of the evaluation object.

[0063] If it does not meet the requirements, the indicator system will be revised.

[0064] 2) Check whether the indicator system meets the following requirements: Each category of indicator group contains at least one or more of the following indicators.

[0065] Narration of past facts, description of current situation, and plans for the future. If they do not conform, the indicator system will be revised.

[0066] 3) Check whether the indicator system meets the following requirements: Each category of indicator group contains at least one or more of the following properties

[0067] If the goals, actions, and results do not meet the requirements, the indicator system will be revised.

[0068] 3. Continuous revision of the sustainable development performance evaluation system

[0069] Regularly or irregularly check the indicator system and revise relevant substantive related indicators. The reasons for revising indicators include but are not limited to: changes in policy requirements, changes in market requirements, changes in industry levels, changes in data availability or data quality, and changes in algorithm technology.

[0070] The human-machine combined quantitative evaluation method for sustainable development performance includes basic sustainable development performance evaluation and short-term risk impact scoring. Basic sustainable development performance evaluation focuses on the medium- and long-term sustainable development performance of the evaluation object. Short-term risk impact evaluation focuses on assessing the ESG-related risks faced by the evaluation object caused by immediate external information.

[0071] The evaluation cycle of basic sustainable development performance evaluation may be asynchronous with the evaluation cycle of short-term risk impact evaluation.

[0072] The human-machine combined quantitative evaluation method for sustainable development performance includes the following steps:

[0073] 1) Collect and process the information (internal information) released by the evaluation object itself according to the indicators determined by the above-mentioned sustainable development performance evaluation system. Data collection and collation are carried out manually or using information automatic processing technology.

[0074] 2) Various forms of verification can be performed on internal information.

[0075] 3) Verified information enters the valid information pool.

[0076] 4) Quantify the information of each bottom-level indicator in the effective information pool, assign certain weights for calculation, and obtain the weighted score of the indicator at this level.

[0077] 5) The sub-bottom-level indicators can be superimposed and normalized, and certain weights can be assigned for calculation to obtain the weighted scores of the indicators at this level.

[0078] 6) By analogy, the quantitative score of the top-level indicator can be obtained, which can be assigned a certain weight for calculation to obtain a comprehensive basic performance score based on all indicators.

[0079] 7) Conduct basic performance grading based on the basic performance score and express the grading results in some form, such as letter combination AAA-D.

[0080] 8) Collect external information based on the indicators determined by the above-mentioned sustainable development performance evaluation system. Data collection and organization are carried out manually or using information automatic processing technology.

[0081] 9) After verifying each piece of external information, it shall be processed in accordance with part or all of the processes described in 4)-6), and the result shall serve as the corresponding short-term risk impact score of the external information.

[0082] 10) The short-term risk impact score of information collected in the past will be discounted over time according to the law of impact reduction.

[0083] 11) The current scores caused by all external information collected before the current moment are accumulated to obtain the current short-term risk impact value.

[0084] 12) The current short-term risk impact value is expressed in a form that is different from the basic performance rating, such as a numerical score.

[0085] 13) All verified external information enters the effective information pool described in 3), and steps 4)-7) are carried out during the next basic performance scoring.

[0086] 14) Combine the conclusions of 7) and 12) to obtain a composite ESG evaluation of the evaluated object.

[0087] 15) Composite ESG evaluation is presented in the form of "basic performance evaluation letters) + risk index numbers, short-term timeliness)", for example Figure 2 shown.

[0088] 16) When any of the processes in 7) or 13) has an updated result, repeat the steps described in 14).

[0089] Please refer to Figure 3 , which shows a block diagram of a system for generating a composite ESG evaluation model provided in an embodiment of the present application, including:

[0090] The acquisition module is used to determine the various indicators of the composite ESG evaluation system and collect the historical internal information and historical external information of the evaluation object according to the corresponding indicators; among which, the internal information is used to represent the information released by the evaluation object itself, and the external information is used to represent the relevant information released by non-evaluation objects themselves;

[0091] The quantification module is used to verify the validity of historical internal information, quantify the verified historical internal information, and assign the quantified historical internal information as the first weight to the corresponding indicator; directly quantify the historical external information, and assign the quantified historical external information as the second weight to the corresponding indicator;

[0092] A generation module is used to generate a composite ESG evaluation model according to the weights of various indicators of the composite ESG evaluation system; wherein the evaluation results of the evaluation indicators in the composite ESG evaluation model include two dimensions, the first weight value corresponds to the first dimension, and the second weight value corresponds to the second dimension.

[0093] For the specific limitations of the generation system of the composite ESG evaluation model, please refer to the limitations of the generation method of the composite ESG evaluation model above, which will not be repeated here. Each module in the generation system of the composite ESG evaluation model can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0094] In one embodiment, an electronic device is provided. The electronic device may be a computer, and its internal structure diagram may be as follows: Figure 4As shown. The electronic device includes a processor, a memory and a network interface connected via a system bus. The processor of the device is used to provide computing and control capabilities. The memory of the device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to generate data for a composite ESG evaluation model. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for generating a composite ESG evaluation model is implemented.

[0095] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0096] In one embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for generating the composite ESG evaluation model are implemented.

[0097] In one embodiment of the present application, a computer program product is provided, including a computer program / instruction, which implements the steps of the method for generating the composite ESG evaluation model when the computer program / instruction is executed by a processor.

[0098] The computer-readable storage medium and computer program product provided in this embodiment have similar implementation principles and technical effects to those of the above method embodiments, and are not described in detail here.

[0099] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in M ​​forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SyMchliMk) DRAM (SLDRAM), memory bus (RaMbus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0100] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0101] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A method for generating a composite ESG evaluation model, characterized in that: The method comprises: Determine the various indicators of the composite ESG evaluation system, and collect historical internal information and historical external information of the evaluation object according to the corresponding indicators; among which, internal information is used to represent the information released by the evaluation object itself, and external information is used to represent relevant information released by non-evaluation objects themselves; Verify the validity of historical internal information, quantify the verified historical internal information, and assign the quantified historical internal information as the first weight to the corresponding indicator; directly quantify the historical external information, and assign the quantified historical external information as the second weight to the corresponding indicator; A composite ESG evaluation model is generated according to the weights of various indicators of the composite ESG evaluation system; wherein, the evaluation results of the evaluation indicators in the composite ESG evaluation model include two dimensions, the first weight value corresponds to the first dimension, and the second weight value corresponds to the second dimension.

2. The generation method according to claim 1, characterized in that: The composite ESG evaluation model is generated based on the weights of various indicators in the composite ESG evaluation system, including: Obtain the current internal information and current external information of the evaluation object; Verify the validity of the current internal information, quantify the verified current internal information, and assign the quantified current internal information as the first weight to the corresponding indicator; directly quantify the current external information, and assign the quantified current external information as the second weight to the corresponding indicator; The evaluation results of the composite ESG evaluation model are updated using the weight values ​​corresponding to the current internal information and the current external information.

3. The generation method according to claim 1, characterized in that: According to the corresponding indicators, the historical internal information and historical external information of the evaluation object are collected. The internal information specifically includes financial report information, social responsibility report information, and sustainable development report information; the external information specifically includes information released by regulatory authorities, public media, and third-party organizations.

4. The generation method according to claim 1, characterized in that: Verify the validity of historical internal information, including: Define keywords related to the evaluation indicators and pre-process the collected internal information, including text cleaning and word segmentation; Use text search techniques to match preprocessed text with defined keywords; Based on the results of keyword matching, text paragraphs containing keywords are screened out, and context analysis is performed on the screened information to verify the validity of the information; wherein, verifying the validity of the information includes verifying the release time, release source, and consistency of the information.

5. The generation method according to claim 1, characterized in that: The verified historical internal information is quantified, and the quantified historical internal information is assigned to the corresponding indicator as the first weight, which also includes: The quantified results of each indicator are accumulated to obtain a first weight value; wherein the first weight value is expressed in the form of a letter combination.

6. The generation method according to claim 1, characterized in that: Directly quantify the historical external information, and assign the quantified historical external information as the second weight to the corresponding indicator, and also include: The quantified results of each indicator are accumulated to obtain a second weight value; wherein the second weight value is expressed in the form of a number.

7. A system for generating a composite ESG evaluation model, characterized in that: The system comprises: The acquisition module is used to determine the various indicators of the composite ESG evaluation system and collect the historical internal information and historical external information of the evaluation object according to the corresponding indicators; among which, the internal information is used to represent the information released by the evaluation object itself, and the external information is used to represent the relevant information released by non-evaluation objects themselves; The quantification module is used to verify the validity of historical internal information, quantify the verified historical internal information, and assign the quantified historical internal information as the first weight to the corresponding indicator; directly quantify the historical external information, and assign the quantified historical external information as the second weight to the corresponding indicator; A generation module is used to generate a composite ESG evaluation model according to the weights of various indicators of the composite ESG evaluation system; wherein the evaluation results of the evaluation indicators in the composite ESG evaluation model include two dimensions, the first weight value corresponds to the first dimension, and the second weight value corresponds to the second dimension.

8. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the generation method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the generation method according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the generation method according to any one of claims 1 to 6 is implemented.

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