Emission right transaction multi-dimensional emission reduction effect evaluation system
By constructing a multi-dimensional emission reduction effect assessment system for emissions trading, the problems of single and inaccurate assessment methods in existing technologies are solved. This system enables a comprehensive and in-depth analysis of the synergistic effect of emissions trading policies and the market, and provides effective support for policy optimization.
Patent Information
- Application Number
- CN202511163770.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-19
- Publication Date
- 2025-12-16
AI Technical Summary
The existing methods for assessing the emission reduction effects of emissions trading policies lack multi-dimensionality and systematicity, making it difficult to accurately reflect the synergistic effect between policies and the market. This results in incomplete and superficial assessments, failing to provide effective references for policy optimization.
Design a multi-dimensional emission reduction effect assessment system for emissions trading, including a policy text processing module, a knowledge graph construction module, an assessment indicator calculation module, and a multi-dimensional effect analysis module. Employ OCR technology and a large language model for automated processing and analysis, construct structured text data and a knowledge graph, calculate multiple assessment indicators, and combine panel data models to analyze the policy-market synergy effect.
It enables a comprehensive and accurate assessment of the multidimensional emission reduction effects of emissions trading, covering multiple dimensions such as environmental improvement, economic development, and emission reduction costs. This improves the efficiency and accuracy of the assessment and provides a practical reference for policy optimization.
Smart Images
Figure CN121146253A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of environmental protection and economic management, and more particularly to a multi-dimensional emission reduction effect evaluation system for emission trading. BACKGROUND
[0002] With the increasingly serious environmental problems, emission trading as a market-oriented environmental management tool plays an important role in controlling pollutant emissions and improving environmental quality. However, the current evaluation of the emission reduction effect of emission trading policies is mostly focused on a single dimension, such as only considering the improvement of the environment or only considering the economic cost, and lacks a comprehensive and systematic evaluation of the multi-dimensional emission reduction effect under the synergistic effect of policy and market.
[0003] The existing evaluation methods have many shortcomings, such as in the processing of policy texts, the processing of different formats of policy documents is not efficient and accurate, and it is difficult to obtain standardized structured text data; in the extraction of policy knowledge and the construction of knowledge graph, there is a lack of automated means, resulting in low efficiency of knowledge extraction and imperfect construction of knowledge graph; in the calculation of evaluation indexes, the selection of indexes is not comprehensive and the calculation method is not scientific, making it difficult to accurately reflect the quality of policy design and the performance of the trading market; in the effect analysis, the synergistic effect of policy and market is not fully considered, the analysis result is not comprehensive and deep, and it is difficult to provide effective reference for the optimization and improvement of the policy.
[0004] Therefore, a multi-dimensional emission reduction effect evaluation system for emission trading is proposed, which can comprehensively and accurately evaluate the multi-dimensional emission reduction effect of emission trading, to solve the problems existing in the prior art. SUMMARY
[0005] Therefore, the present application provides a multi-dimensional emission reduction effect evaluation system for emission trading, which solves the technical problems existing in the prior art.
[0006] In order to achieve the above-mentioned purpose, the present application provides the following technical scheme: A multi-dimensional emission reduction effect evaluation system for emission trading, comprising a policy text processing module, a policy knowledge graph construction module, an evaluation index calculation module and a multi-dimensional effect analysis module connected in sequence; wherein, The policy text processing module is used to obtain and preprocess the emission trading policy text to obtain structured text data; The policy knowledge graph construction module is used to extract policy knowledge based on the structured text data to obtain an entity set and a relationship set, and construct an emission trading policy knowledge graph according to the entity set and the relationship set; The evaluation index calculation module is configured to calculate a policy design quality index based on the emission trading policy knowledge graph and a transaction market performance index based on the emission trading data; The multi-dimensional effect analysis module is configured to analyze the influence of policy-market synergy on environmental improvement, economic development and emission reduction cost based on the policy design quality index, the transaction market performance index, the pollutant emission data and the economic development data.
[0007] Optionally, the policy text is preprocessed by using an OCR technology and a PDF parser.
[0008] Optionally, the entity set in the policy knowledge graph construction module includes a policy subject, a policy object, a policy tool and a policy target, and the relation set includes a management relation, a supervision relation, a transaction relation and an incentive relation.
[0009] Optionally, the policy knowledge graph construction module adopts a large language model as a knowledge extraction engine to realize automatic extraction of policy knowledge through a preset prompt template.
[0010] Optionally, the policy design quality index in the evaluation index calculation module includes a policy completeness, a policy coordination and a policy innovation, and the transaction market performance index includes a transaction scale index and a transaction activity index.
[0011] Optionally, the calculation formula of the policy completeness is as follows:
[0012] wherein, represents the policy completeness of a region i at a time t , and represent the node number and the edge number in the knowledge graph respectively, and represent the maximum node number and the maximum edge number in the reference system respectively, represents the number of pollutant types covered by the policy, represents the total number of pollutant types, is a weight coefficient.
[0013] Optionally, the policy coordination is measured by using an average clustering coefficient of a graph, and the calculation formula is as follows:
[0014] wherein, represents the policy coordination of a region i at a time t , n represents the total number of nodes, V represents the node set, represents the nodev Clustering coefficient, , Represents a node v The actual number of edges between neighbors Represents a node v The degree.
[0015] Optionally, the formula for calculating the transaction size indicator is as follows:
[0016] in, Indicates region i In time t Transaction volume indicators The transaction amount is expressed in ten thousand yuan. The GDP is expressed in 100 million yuan; the transaction activity index uses the number of transactions as the measurement indicator.
[0017] Optionally, the multidimensional effects analysis module, based on policy design quality indicators and trading market performance indicators, combined with pollutant emission data and economic development data, analyzes the specific content of the policy-market synergy's impact on environmental improvement, economic development, and emission reduction costs as follows: The policy design quality indicators, trading market performance indicators, pollutant emission data, and economic development data are matched and standardized according to the region-year dimension. A panel data model was constructed, with environmental improvement indicators, economic development indicators, and emission reduction cost indicators as dependent variables, and policy design quality indicators and trading market performance indicators as independent variables. An interaction term between policy indicators and trading indicators was introduced to capture the policy-market synergy effect, and control variables, regional fixed effects, and time fixed effects were included. Based on panel data models, we analyze the impact of policy-market coordination on multi-pollutant emission reduction, economic growth quality, and emission reduction cost optimization.
[0018] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a multi-dimensional emission reduction effect evaluation system for emissions trading, the beneficial effects of which are: 1) Comprehensiveness: By setting up multiple modules, from policy text processing, knowledge graph construction, evaluation indicator calculation to multi-dimensional effect analysis, a comprehensive assessment of the multi-dimensional emission reduction effect of emissions trading is achieved, covering multiple dimensions such as environmental improvement, economic development and emission reduction costs; 2) Accuracy: The policy text is preprocessed using OCR technology and PDF parser to ensure the accuracy of structured text data; large language models are used for knowledge extraction to improve the accuracy of entity and relationship extraction; scientific calculation formulas are used to calculate evaluation indicators to ensure the accuracy of the indicators; panel data models are constructed for effect analysis, considering the influence of multiple factors to improve the accuracy of the analysis results; 3) Efficiency: The policy knowledge graph construction module uses an automated knowledge extraction method to greatly improve the efficiency of knowledge extraction and graph construction; the modules work collaboratively, and the entire evaluation process is efficient and orderly; 4) Practicality: The evaluation results of the present application can provide strong technical support and reference for the formulation, optimization and improvement of the emission trading policy, and have strong practical value. BRIEF DESCRIPTION OF DRAWINGS
[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of the provided drawings.
[0020] Figure 1 A structural diagram of an emission trading multi-dimensional emission reduction effect evaluation system is provided. DETAILED DESCRIPTION
[0021] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0022] Referring to Figure 1 The present application discloses an emission trading multi-dimensional emission reduction effect evaluation system, comprising a policy text processing module, a policy knowledge graph construction module, an evaluation index calculation module and a multi-dimensional effect analysis module connected in sequence; wherein, The policy text processing module is used to obtain and preprocess the emission trading policy text to obtain structured text data; The policy knowledge graph construction module is used to extract policy knowledge based on the structured text data to obtain an entity set and a relationship set, and construct an emission trading policy knowledge graph according to the entity set and the relationship set; The evaluation index calculation module is configured to calculate a policy design quality index based on the emission trading policy knowledge graph and a transaction market performance index based on the emission trading data; The multi-dimensional effect analysis module is configured to analyze the influence of policy-market synergy on environmental improvement, economic development and emission reduction cost based on the policy design quality index, the transaction market performance index, the pollutant emission data and the economic development data.
[0023] Further, the policy text is preprocessed by using an OCR technology and a PDF parser.
[0024] Specifically, by using such a preprocessing method, different formats of policy texts can be efficiently and accurately converted into structured data, thereby laying a good foundation for subsequent knowledge extraction and graph construction.
[0025] Further, the entity set in the policy knowledge graph construction module includes a policy subject, a policy object, a policy tool and a policy target, and the relationship set includes a management relationship, a supervision relationship, a transaction relationship and an incentive relationship.
[0026] Further, the policy knowledge graph construction module uses a large language model as a knowledge extraction engine to realize automatic extraction of policy knowledge through a preset prompt template.
[0027] Specifically, the large language model has strong natural language processing capability, and in combination with the preset prompt template, the required entities and relationships can be quickly and accurately extracted from the structured text data, thereby greatly improving the efficiency and accuracy of knowledge extraction, and the constructed knowledge graph can comprehensively reflect the relevant information of the emission trading policy.
[0028] Further, the policy design quality index in the evaluation index calculation module includes a policy completeness, a policy coordination and a policy innovation, and the transaction market performance index includes a transaction scale index and a transaction activity index.
[0029] Further, the calculation formula of the policy completeness is as follows:
[0030] wherein, represents the policy completeness of a region i at a time t , and represent the number of nodes and the number of edges in the knowledge graph, respectively, and represent the maximum number of nodes and the maximum number of edges in the reference system, respectively, represents the number of pollutant types covered by the policy, represents the total number of pollutant types, is the weight coefficient.
[0031] Further, the policy coordination is measured by the average clustering coefficient of the graph, and the calculation formula is:
[0032] wherein, represents the region i in the time t policy coordination, n represents the total number of nodes, V represents the node set, represents the node v clustering coefficient, , represents the actual number of edges between the neighbors of the node v , represents the degree of the node v .
[0033] Further, the calculation formula of the transaction size index is:
[0034] wherein, represents the region i in the time t transaction size index, represents the transaction amount, in ten thousand yuan, represents the gross regional product, in billion yuan; the transaction activity index uses the number of transactions as the measurement index.
[0035] Specifically, the coefficient 1000 is used for unit adjustment.
[0036] Further, the specific content of the multi-dimensional effect analysis module based on the policy design quality index, the transaction market performance index, combined with the pollutant emission data and the economic development data, analyzes the influence of policy-market coordination on environmental improvement, economic development and emission reduction cost is: Match the policy design quality index, the transaction market performance index, the pollutant emission data and the economic development data according to the region-year dimension and perform standardization processing; Build a panel data model, taking the environmental improvement index, the economic development index and the emission reduction cost index as the dependent variable, taking the policy design quality index and the transaction market performance index as the independent variable, introducing the interaction term of the policy index and the transaction index to capture the policy-market coordination effect, and introducing the control variable, the region fixed effect and the time fixed effect; Based on the panel data model, the influence of policy-market coordination on multi-pollutant emission reduction, economic growth quality and emission reduction cost optimization is analyzed respectively.
[0037] Specifically, through such an analysis method, the synergistic effect of policy and market can be fully considered, and the multi-dimensional emission reduction effect of emission trading can be comprehensively and deeply evaluated.
[0038] In a specific embodiment, in actual application, the policy text processing module first acquires emission trading policy texts in different formats. For photocopy policy documents, OCR technology is used to convert them into text form. For PDF format files, a PDF parser is used to extract the content and maintain the structure to obtain structured text data.
[0039] The policy knowledge graph construction module uses a large language model as a knowledge extraction engine based on the obtained structured text data, extracts policy subjects, policy objects, policy tools, policy goals and other entities, as well as management relationships, supervision relationships, transaction relationships, and incentive relationships from the structured text through a preset prompt template, and further constructs an emission trading policy knowledge graph.
[0040] The evaluation index calculation module calculates the policy completeness and policy coordination in the policy design quality index based on the constructed policy knowledge graph according to the calculation formula of policy completeness and policy coordination, and determines the policy innovation in combination with relevant information. Based on the emission trading data, the transaction scale index is calculated according to the calculation formula of the transaction scale index, and the number of transactions is counted as the transaction activity index.
[0041] The multi-dimensional effect analysis module matches the policy design quality index, the transaction market performance index, the pollutant emission data and the economic development data according to the region-year dimension, and then performs standardization processing. Then, a panel data model is constructed, taking the environmental improvement index (such as the pollutant emission reduction rate per unit of GDP, etc.), the economic development index (such as the per capita GDP growth rate, etc.) and the emission reduction cost index (such as the cost per unit of emission reduction, etc.) as the dependent variables, taking the policy design quality index and the transaction market performance index as the independent variables, introducing the interaction term of the policy index and the transaction index, and introducing the control variables (such as industrial structure, technology level, etc.), regional fixed effects and time fixed effects. Finally, based on the panel data model, the effects of policy-market synergy on multi-pollutant emission reduction, economic growth quality and emission reduction cost optimization are analyzed respectively, and the evaluation results of the multi-dimensional emission reduction effect of emission trading are obtained.
[0042] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0043] The foregoing description of the disclosed embodiments enables a person skilled in the art to make or use the application. Modifications of these embodiments will occur to persons of skill in the art, and that the appended claims are intended to cover all such modifications that do not depart from the true spirit and scope of the application. Therefore, the application is not limited to the embodiments shown but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A multi-dimensional emission reduction effect evaluation system for emissions trading, characterized in that, This includes, in sequence, a policy text processing module, a policy knowledge graph construction module, an evaluation indicator calculation module, and a multidimensional effect analysis module; among them, The policy text processing module is used to acquire and preprocess the policy text of emissions trading to obtain structured text data. The policy knowledge graph construction module is used to extract policy knowledge based on structured text data, obtain entity sets and relation sets, and construct a pollution rights trading policy knowledge graph based on the entity sets and relation sets; The evaluation indicator calculation module is used to calculate policy design quality indicators based on the emission rights trading policy knowledge graph, and to calculate trading market performance indicators based on emission rights trading data. The multidimensional effect analysis module is used to analyze the impact of policy-market synergy on environmental improvement, economic development, and emission reduction costs based on policy design quality indicators, trading market performance indicators, pollutant emission data, and economic development data.
2. The multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 1, characterized in that, The policy text was preprocessed using OCR technology and a PDF parser.
3. The multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 1, characterized in that, The entity set in the policy knowledge graph construction module includes: policy subjects, policy objects, policy tools, and policy objectives; the relationship set includes: management relationships, supervision relationships, transaction relationships, and incentive relationships.
4. The multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 1, characterized in that, The policy knowledge graph construction module uses a large language model as the knowledge extraction engine, and achieves automated extraction of policy knowledge through preset prompt templates.
5. The multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 1, characterized in that, The policy design quality indicators in the evaluation indicator calculation module include: policy completeness, policy coordination, and policy innovation; the transaction market performance indicators include: transaction volume indicators and transaction activity indicators.
6. The multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 5, characterized in that, The formula for calculating policy completeness is: in, Indicates region i In time t The completeness of the policy, and These represent the number of nodes and the number of edges in the knowledge graph, respectively. and These represent the maximum number of nodes and the maximum number of edges in the reference frame, respectively. This indicates the number of pollutant types covered by the policy. This indicates the total number of pollutant types. These are the weighting coefficients.
7. The multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 5, characterized in that, Policy coordination is measured using the average clustering coefficient of the graph, calculated as follows: in, Indicates region i In time t Policy coordination n Indicates the total number of nodes. V Represents a set of nodes. Represents a node v Clustering coefficient, , Represents a node v The actual number of edges between neighbors Represents a node v The degree.
8. The multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 5, characterized in that, The formula for calculating the transaction volume indicator is: in, Indicates region i In time t Transaction volume indicators The transaction amount is expressed in ten thousand yuan. The GDP is expressed in 100 million yuan; the transaction activity index uses the number of transactions as the measurement indicator.
9. A multi-dimensional emission reduction effect evaluation system for emissions trading according to claim 1, characterized in that, The multidimensional effects analysis module, based on policy design quality indicators and trading market performance indicators, combined with pollutant emission data and economic development data, analyzes the specific impacts of policy-market synergy on environmental improvement, economic development, and emission reduction costs. The policy design quality indicators, trading market performance indicators, pollutant emission data, and economic development data are matched and standardized according to the region-year dimension. A panel data model was constructed, with environmental improvement indicators, economic development indicators, and emission reduction cost indicators as dependent variables, and policy design quality indicators and trading market performance indicators as independent variables. An interaction term between policy indicators and trading indicators was introduced to capture the policy-market synergy effect, and control variables, regional fixed effects, and time fixed effects were included. Based on panel data models, we analyze the impact of policy-market coordination on multi-pollutant emission reduction, economic growth quality, and emission reduction cost optimization.