Method and product for coupling and coordinating development of economic structure and electrical energy structure

Abstract

The invention discloses an analysis method and product for coupling coordination development of an economic structure and an electrical energy structure. The analysis method comprises the following steps: determining preliminary indexes of an economic structure subsystem and an electrical energy structure subsystem; estimating the influence value of the initial index, and re-screening to determine the corrected index; respectively calculating an economic structure score and an energy structure score according to the corrected indexes; constructing a coupling coordination model used for calculating the coupling degree and the coupling coordination degree between the economic structure subsystem and the electrical energy structure subsystem; the corrected indexes are analyzed based on a geographic detector model, and main factors influencing the coupling coordination degree of the economic structure and the energy structure are determined; and generating a final evaluation scheme based on the coupling degree, the coupling coordination degree and the coupling influence factors. The method is used for assisting in clarifying the dynamic evolution and development relation between the economic structure and the electric energy structure, recognizing the effect of electric power in promoting transformation and upgrading of the economic structure, and providing reference for transformation and upgrading of the economic structure.

Description

Technical Field

[0001] The present invention relates to the technical field of energy economic research, and in particular to a method and product for the coupled and coordinated development of an economic structure and an electric power energy structure. Background Art

[0002] The role of energy in the development of the national economy is becoming increasingly prominent. Energy demand is essentially an economic phenomenon, which is affected by many factors such as economic growth, economic cycles, and changes in economic structure. According to the energy big data report, the proportion of electricity consumption in the primary and tertiary industries has increased slightly, while the proportion of electricity consumption in the secondary industry and urban and rural residents has decreased slightly. With the advancement of the construction of a modern industrial system, the energy use methods of traditional manufacturing and other industries have gradually transformed and upgraded, including the promotion of coal reduction and substitution in key industries, and the growth rate of overall industrial electricity demand has also accelerated. The economic operation of the service industry is showing a steady recovery trend, and electricity demand is affected by economic growth and changes in economic structure.

[0003] With the transformation of regional energy structure, economic structure and economic growth mode, the law of energy demand will also change accordingly. Therefore, it is necessary to clarify the inherent coupling relationship between energy structure and economic structure, deeply explore the long-term interaction between electricity demand and economic cycle, and carry out electricity demand forecasting for different industries, regions and residents on this basis, so as to improve the ability of accurate forecasting of electricity demand, serve macroeconomic policy formulation, help transform energy structure and economic structure, and achieve the goal of high-quality economic development.

[0004] Therefore, how to provide a method and product that can accurately estimate the coupled and coordinated development of economic structure and energy structure is a technical problem that needs to be solved urgently by technical personnel in this field. Summary of the invention

[0005] In response to the unclear inherent coupling relationship between electricity demand and energy structure and economic structure in the prior art, the present invention proposes a method and related products for the coupled and coordinated development of economic structure and power energy structure, so as to help clarify the dynamic evolution development relationship between economic structure and energy structure, recognize the role of electricity in promoting the transformation and upgrading of economic structure, and provide a reference for the transformation and upgrading of economic structure.

[0006] The present invention provides an analysis method for the coupled coordinated development of economic structure and electric power energy structure, comprising the following steps:

[0007] Determine subsystem indicators: Screen the influencing factor data related to the economic structure subsystem and the electric energy structure subsystem to determine the preliminary indicators of the economic structure subsystem and the electric energy structure subsystem; estimate the impact values ​​of the preliminary indicators of the economic structure subsystem and the electric energy structure subsystem respectively; based on the estimation results, re-screen the preliminary indicators in the influencing factor data to determine the revised indicators;

[0008] Determine the comprehensive evaluation system: determine the comprehensive evaluation system based on the revised indicators, and calculate the economic structure score and energy structure score respectively;

[0009] Subsystem coupling and coordination calculation: Construct a revised coupling and coordination model to calculate the coupling degree and coupling coordination degree between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score;

[0010] Analysis of coupling coordination influencing factors: Based on the geographic detector model, the revised indicators of the economic structure subsystem and the power energy structure subsystem are analyzed, and the revised indicators that meet the impact judgment conditions are determined as coupling influencing factors;

[0011] Generating a final evaluation plan: generating a final evaluation plan based on the coupling degree, coupling coordination degree and coupling influencing factors.

[0012] Preferably, in the step of determining subsystem indicators, the influencing factor data related to the economic structure subsystem include: relevant data on industrial structure, trade structure, consumption structure, employment structure, income structure and investment structure; the influencing factor data related to the power energy structure subsystem include: relevant data on energy production structure, consumption structure and governance structure.

[0013] Preferably, in the step of determining subsystem indicators, the influencing factor data related to the economic structure subsystem and the electric power energy structure subsystem are screened through correlation analysis and benchmark regression to determine preliminary indicators of the economic structure subsystem and the electric power energy structure subsystem.

[0014] Preferably, in the step of determining subsystem indicators:

[0015] S11: using the entropy method to calculate the weight of the preliminary indicator, and judging whether the influence value corresponding to the preliminary indicator is less than the preliminary indicator of the specified threshold value by the weight, if so, proceeding to S12; if not, taking the preliminary indicator as the revised indicator;

[0016] S12: Eliminate the preliminary indicators, add other influencing factor data, construct new preliminary indicators and return to S11 to calculate the impact value.

[0017] Preferably, in the step of determining the comprehensive evaluation system, the economic structure score and the energy structure score are calculated respectively using the entropy weight method based on the weights corresponding to the modified indicators.

[0018] Preferably, in the subsystem coupling coordination calculation step, a coupling coordination model is constructed to calculate the coupling degree C between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score, which includes:

[0019]

[0020] Where C is the coupling degree between the economic structure subsystem and the power energy structure subsystem; U1 and U2 are the energy structure score and economic structure score, respectively.

[0021] Preferably, in the subsystem coupling coordination calculation step, a coupling coordination model is constructed to calculate the coupling coordination degree D between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score, which includes:

[0022] T=α1U1+α2U2,α1+α2=1;

[0023]

[0024] Where C is the coupling degree between the economic structure subsystem and the power energy structure subsystem; T is the coordination degree between the economic structure subsystem and the power energy structure subsystem; D is the coupling coordination degree between the economic structure subsystem and the power energy structure subsystem; U1 and U2 are the energy structure score and economic structure score respectively; α1 and α2 are the importance weights of the power energy structure subsystem and the economic structure subsystem respectively.

[0025] Preferably, by constructing a geographic detector model to calculate the single factor q value and interaction factor q value of each corrected indicator of the economic structure subsystem and the power energy structure subsystem corresponding to the coupling coordination degree between the two, the corrected indicators that meet the influence judgment conditions are identified and screened as coupling influencing factors.

[0026] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the memory is used to store influencing factor data related to an economic structure subsystem and an electric power energy structure subsystem; and when the processor executes the program, the steps of the method for analyzing the coupled and coordinated development of the economic structure and the electric power energy structure are implemented.

[0027] The present invention also provides a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for analyzing the coupled coordinated development of the economic structure and the electric power energy structure are implemented.

[0028] Compared with the prior art, it has the following beneficial effects:

[0029] The present invention proposes an analytical method for the coupled and coordinated development of economic structure and electric power energy structure. It can examine the coupled and coordinated development trends of regional economic structure and electric power energy structure from both static and dynamic aspects on the basis of a comprehensive understanding of regional economic development and energy production and consumption conditions, establish a quantitative relationship between various components, and dynamically examine the role of the coupled and coordinated development of economic structure and energy structure in the transformation of local energy structure over a long period of time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without creative work.

[0031] Figure 1 A flow chart of an analysis method for coupling and coordinating economic structure and electric power energy structure provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, the analysis method for the coupled coordinated development of economic structure and electric energy structure disclosed in the first aspect of the embodiment of the present invention includes the following steps:

[0034] Determine subsystem indicators: Screen the influencing factor data related to the economic structure subsystem and the power energy structure subsystem to determine the preliminary indicators of the economic structure subsystem and the power energy structure subsystem; estimate the impact values ​​of the preliminary indicators of the economic structure subsystem and the power energy structure subsystem respectively; based on the estimation results, re-screen the preliminary indicators in the influencing factor data to determine the revised indicators;

[0035] Determine the comprehensive evaluation system: Determine the comprehensive evaluation system based on the revised indicators, and calculate the economic structure score and energy structure score respectively;

[0036] Subsystem coupling and coordination calculation: Construct a revised coupling and coordination model to calculate the coupling degree and coupling coordination degree between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score, and output them;

[0037] Analysis of coupling coordination influencing factors: Based on the geographic detector model, the revised indicators of the economic structure subsystem and the power energy structure subsystem are analyzed, and the revised indicators that meet the impact judgment conditions are determined as coupling influencing factors and output;

[0038] Generation of final evaluation plan: Generate the final evaluation plan based on coupling degree, coupling coordination degree and coupling influencing factors.

[0039] In one embodiment, in the step of determining subsystem indicators, the influencing factor data related to the economic structure subsystem include: industrial development data, urban-rural economic development differences and import and export structure; the influencing factor data related to the power energy structure subsystem include: energy consumption data and power production and consumption data.

[0040] In one embodiment, in the step of determining subsystem indicators, the influencing factor data related to the economic structure subsystem and the electric power energy structure subsystem are screened through correlation analysis and benchmark regression to determine preliminary indicators of the economic structure subsystem and the electric power energy structure subsystem.

[0041] In this embodiment, for the relevant data whose influencing factors are industrial structure, trade structure, consumption structure, employment structure, income structure and investment structure, the screening method includes: analyzing and comparing the collected industry-related data to select indicators through investigation of local economic development;

[0042] For data with influencing factors as energy governance structure, the screening methods include: selecting indicators through data screening, field research and literature reference;

[0043] For the data on the main energy consumption structure of influencing factors, i.e., the consumption of coal, oil, natural gas and other energy sources, the screening methods include: combining the data in the local statistical yearbook and related statistical materials and screening, calculating and comparing the data to finally determine the indicators;

[0044] For data whose influencing factors are the energy production structure, i.e. the production of raw coal, electricity, etc., the screening method includes: determining the indicators after capturing, calculating, analyzing and comparing the local raw coal and electricity production and consumption data.

[0045] As shown in Table 1, after repeated calculations of influencing factor data and indicators for a region, the economic structure subsystem finally constructed a comprehensive indicator system of economic structure from six dimensions: industrial structure, trade structure, consumption structure, employment structure, income structure and investment structure. Among them, the indicators of industrial structure include: the proportion of added value of the primary industry, the proportion of added value of the secondary industry, and the proportion of added value of the tertiary industry; the indicators of trade structure include the proportion of imports to GDP, the proportion of exports to GDP and trade dependence; the indicators of consumption structure include Engel coefficient, per capita consumption of rural residents, per capita consumption of urban residents, and total retail sales of consumer goods; the indicators of employment structure include the proportion of employees in the primary industry, the proportion of employees in the secondary industry, the proportion of employees in the tertiary industry, the proportion of urban employment and the proportion of rural employment; the income structure includes: per capita disposable income of rural residents, per capita disposable income of urban residents and per capita disposable income; the indicators of investment structure include the growth rate of fixed asset investment in the secondary industry, the growth rate of fixed asset investment in the tertiary industry and the growth rate of total fixed asset investment in the society.

[0046] As shown in Table 2, after repeated calculations of influencing factor data and indicators for a certain region, the power energy structure subsystem finally constructed an indicator system from three dimensions: energy production structure, energy consumption structure, and energy governance structure. Among them, the indicators of energy production structure include the proportion of raw coal in energy production, the proportion of wind, solar, and hydropower in energy production, the proportion of natural gas in energy production, the energy production growth rate, and the electricity production growth rate; the indicators of energy consumption structure mainly examine the energy consumption structure from the first, second, and third industries; the indicators of energy governance structure include industrial sulfur dioxide emissions, total nitrogen oxide emissions, per capita energy consumption carbon dioxide emission intensity, unit GDP energy consumption, per capita energy consumption, energy production elasticity coefficient, and electricity production elasticity coefficient.

[0047] Table 1 Economic structure subsystem indicators

[0048]

[0049]

[0050] Table 2 Power energy structure subsystem indicators

[0051]

[0052]

[0053] In one embodiment, in the step of determining subsystem indicators:

[0054] S11: Use entropy method and principal component analysis method to calculate the weight of the preliminary indicator, and use the weight to determine whether the impact value of the corresponding preliminary indicator is less than the preliminary indicator of the specified threshold. If so, enter S12; if not, use the preliminary indicator as the revised indicator;

[0055] S12: Eliminate the preliminary indicators, add other influencing factor data, construct new preliminary indicators and return to S11 to calculate the impact value.

[0056] In this embodiment, the entropy method is used to determine the weights of the economic structure and energy structure indicators. The specific calculation steps are as follows.

[0057] S111: In order to eliminate the impact of the differences in dimensions and magnitudes between the initial indicator variables on the evaluation results, the initial indicator variables need to be standardized. For both positive and negative indicators, the range standardization method can be used.

[0058] If the indicator is a positive indicator, its standardized formula is:

[0059]

[0060] If the indicator is a negative indicator, its standardized formula is:

[0061]

[0062] In the formula, x ij ' is the standardized value; x j max is the maximum value of the jth indicator in the i-th year; x j min It is the minimum value of the jth indicator in the i-th year (i=1,2…,m; j=1,2…,n).

[0063] S112: Some indicators may appear negative or have smaller values ​​after processing. In order to facilitate subsequent calculations, the standardized values ​​are uniformly shifted.

[0064] x” ij =H+x' ij ; (3)

[0065] Where H is the index translation amplitude, generally 0.0001; x ij " is the value after translation.

[0066] S113: Calculate the weight y of the j-th indicator value in the i-th year ij :

[0067]

[0068] S114: Determine the information entropy of the indicator e j:

[0069]

[0070] Let k = 1 / ln m , then 0≤e j ≤1, and when y ij = 0, let y ij *lny ij =0.

[0071] S115: Calculate the information redundancy d of the indicator j ;

[0072] d j =1-e j ; (6)

[0073] S116: Calculate the weight w of the indicator i :

[0074]

[0075] S117: Calculate the comprehensive score of the indicator system. The indicator weights are calculated by the entropy weight method, and the level score of the i-th indicator in the j-th year is s ij for:

[0076] s ij =w i *x ij ; (8)

[0077] The comprehensive score of each subsystem can be obtained by summing up the corresponding s ij get.

[0078] In one embodiment, in the step of determining the comprehensive evaluation system, the economic structure score and the energy structure score are calculated respectively using the entropy weight method based on the weights corresponding to the determined modified indicators.

[0079] In one embodiment, in the subsystem coupling coordination calculation step, constructing a modified coupling coordination model for calculating the coupling degree between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score includes:

[0080] Calculate the coupling degree C between i systems:

[0081]

[0082] Where U i is the comprehensive score of each system calculated by the entropy value method, which mainly refers to the comprehensive score of the scientific and technological innovation system and the rural industrial revitalization system calculated by the entropy weight method. i∈[0,1], C∈[0,1], when the subsystems are more discrete, the C value is lower; conversely, the C value is higher. When there are only two systems, that is, when n=2, assuming maxU i is U2, the formula can be simplified to:

[0083]

[0084] In one embodiment, in the subsystem coupling coordination calculation step, constructing a coupling coordination model for calculating the coupling coordination degree between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score includes:

[0085] Calculate the coordination degree T between i systems:

[0086]

[0087] When there are only two systems, that is, when n = 2, the formula can be simplified to:

[0088] T=α1U1+α2U2,α1+α2=1; (12)

[0089] Wherein, T is the coupling coordination degree between the economic structure subsystem and the power energy structure subsystem; U1 and U2 are the energy structure score and the economic structure score respectively; α1 and α2 are the importance weights of the power energy structure subsystem and the economic structure subsystem respectively. In this embodiment, α1=α2=0.5.

[0090] Calculate the coupling coordination degree D between the two systems:

[0091]

[0092] In one embodiment, by constructing a geographic detector model to calculate the single factor q value and the interaction factor q value of the corrected indicators of the economic structure subsystem and the power energy structure subsystem corresponding to the coupling coordination degree of the economic structure and the energy structure, the corrected indicators that meet the influence judgment conditions are identified and selected as coupling influencing factors. This embodiment introduces the model used in geography-related majors into the analysis of economics, making the entire research on coupled coordinated development more systematic and comprehensive.

[0093] In this embodiment, differentiation and factor detectors are used to explore the main factors affecting the coupled coordinated development of economic structure and energy structure. The specific execution steps are as follows:

[0094] Construct the geodetector model:

[0095] Determine the target variable that needs to be explained, and take the coupling coordination degree of economic structure and energy structure as the target variable.

[0096] Select explanatory variables, select multiple explanatory variables that may affect the target variable, and use various indicators in the economic structure and energy structure systems as explanatory variables, such as the proportion of added value of the primary industry, the proportion of added value of the secondary industry, the proportion of added value of the tertiary industry, and the energy consumption structure of the primary, secondary, and tertiary industries.

[0097] Compute dissimilarity and factor detectors:

[0098] Differentiation calculation, divide the data set into multiple levels (L layers), each layer is represented by h. Calculate the amount of data N in each layer h And the total amount N of the entire data set.

[0099] Variance calculation: For each layer h, calculate its internal variance σ h 2 . Calculate the variance σ of the entire data set 2 .

[0100] The calculation formulas for the differentiation and factor detectors are as follows:

[0101]

[0102] Where L is the number of layers of Y or X; N h and N are the total number of samples in layer h and the region respectively; σ h 2 and σ 2 are the variances of layer h and the explained variables in the region; SSW is the sum of variances within the layer; SST is the total variance; the range of q is [0, 1], the larger the q value, the stronger the explanatory power of the factor on Y.

[0103] Factor Detector Analysis:

[0104] In single factor analysis, the q value is calculated for each explanatory variable to determine the independent impact of each explanatory variable on the target variable.

[0105] Interaction analysis considers the interaction effects between multiple explanatory variables and calculates their joint impact on the target variable. This can be achieved by calculating the q value of multiple explanatory variables.

[0106] Determination of coupling influencing factors:

[0107] Sorting and screening: sort the explanatory variables according to the size of the q value, and screen out the explanatory variables with higher q values. These variables are considered to be the main influencing factors.

[0108] A comprehensive analysis is conducted by combining practical background knowledge with economic theory to analyze the main influencing factors screened out, and their specific impact mechanisms on the coupled and coordinated development of economic structure and energy structure are explained.

[0109] The second aspect of an embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the memory is used to store influencing factor data related to the economic structure subsystem and the electric power energy structure subsystem; when the processor executes the program, the steps of the method for analyzing the coupled and coordinated development of the economic structure and the electric power energy structure of the first aspect of the embodiment are implemented.

[0110] The third aspect of the embodiment of the present invention also provides a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for analyzing the coupled coordinated development of the economic structure and the power energy structure of the first aspect of the embodiment are implemented.

[0111] The above is a detailed introduction to a method for the coupled and coordinated development of an economic structure and an electric power energy structure provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0112] In this article, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

Claims

1. An analytical method for the coupled and coordinated development of economic structure and power energy structure, characterized in that: The steps include: Determine subsystem indicators: Screen the influencing factor data related to the economic structure subsystem and the power energy structure subsystem to determine the preliminary indicators of the economic structure subsystem and the power energy structure subsystem; estimate the impact values ​​of the preliminary indicators of the economic structure subsystem and the power energy structure subsystem respectively; Based on the estimation results, the preliminary indicators are re-screened in the impact factor data to determine the revised indicators; Determine the comprehensive evaluation system: determine the comprehensive evaluation system based on the revised indicators, and calculate the economic structure score and energy structure score respectively; Subsystem coupling and coordination calculation: Construct a coupling and coordination model to calculate the coupling degree and coupling coordination degree between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score, and output them; Analysis of coupling coordination influencing factors: Based on the geographic detector model, the revised indicators of the economic structure subsystem and the power energy structure subsystem are analyzed, and the revised indicators that meet the impact judgment conditions are determined as coupling influencing factors and output; Generating a final evaluation plan: generating a final evaluation plan based on the coupling degree, coupling coordination degree and coupling influencing factors.

2. According to claim 1, the analysis method for the coupled and coordinated development of economic structure and power energy structure is characterized by: In the step of determining subsystem indicators, the influencing factor data related to the economic structure subsystem include: relevant data on industrial structure, trade structure, consumption structure, employment structure, income structure and investment structure; the influencing factor data related to the power energy structure subsystem include: relevant data on energy production structure, consumption structure and governance structure.

3. The analysis method for the coupled and coordinated development of economic structure and electric power energy structure according to claim 1 is characterized in that: In the step of determining subsystem indicators, the influencing factor data related to the economic structure subsystem and the electric power energy structure subsystem are screened through correlation analysis and benchmark regression to determine preliminary indicators of the economic structure subsystem and the electric power energy structure subsystem.

4. The analysis method for the coupled and coordinated development of economic structure and electric power energy structure according to claim 1 is characterized in that: In the step of determining subsystem indicators: S11: using the entropy method to calculate the weight of the preliminary indicator, and judging whether the influence value corresponding to the preliminary indicator is less than the preliminary indicator of the specified threshold value by the weight, if so, proceeding to S12; if not, taking the preliminary indicator as the revised indicator; S12: Eliminate the preliminary indicators, add other influencing factor data, construct new preliminary indicators and return to S11 to calculate the impact value.

5. The analysis method for the coupled and coordinated development of economic structure and electric power energy structure according to claim 4 is characterized in that: In the step of determining the comprehensive evaluation system, based on the weights corresponding to the modified indicators, the entropy weight method is used to calculate the economic structure score and the energy structure score respectively.

6. The analysis method for the coupled and coordinated development of economic structure and electric power energy structure according to claim 1 is characterized in that: In the subsystem coupling coordination calculation step, a coupling coordination model is constructed to calculate the coupling degree C between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score. The calculation includes: ； Where C is the coupling degree between the economic structure subsystem and the power energy structure subsystem; U1 and U2 are the energy structure score and economic structure score, respectively.

7. The analysis method for the coupled and coordinated development of economic structure and electric power energy structure according to claim 1 is characterized in that: In the subsystem coupling coordination calculation step, a coupling coordination model is constructed to calculate the coupling coordination degree D between the economic structure subsystem and the power energy structure subsystem by combining the economic structure score and the energy structure score. The model includes: ； ； Where C is the coupling degree between the economic structure subsystem and the power energy structure subsystem; T is the coupling coordination degree between the economic structure subsystem and the power energy structure subsystem; D is the coupling coordination degree between the economic structure subsystem and the power energy structure subsystem; U1 and U2 are the energy structure score and economic structure score respectively; α1 and α2 are the importance weights of the power energy structure subsystem and the economic structure subsystem respectively.

8. The analysis method for the coupled and coordinated development of economic structure and electric power energy structure according to claim 1 is characterized in that: By constructing a geographic detector model, the single factor q value and interaction factor q value of each corrected indicator of the economic structure subsystem and the power energy structure subsystem corresponding to the coupling coordination degree of the two are calculated, and the corrected indicators that meet the influence judgment conditions are identified and selected as coupling influencing factors.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: The memory is used to store influencing factor data related to the economic structure subsystem and the power energy structure subsystem; When the processor executes the program, the steps of the analysis method for the coupled and coordinated development of the economic structure and the electric power energy structure as described in any one of claims 1 to 8 are implemented.

10. A non-transitory computer-readable storage medium, characterized in that: When the computer program is executed by a processor, the steps of the analysis method for the coupled and coordinated development of the economic structure and the electric power energy structure as described in any one of claims 1 to 8 are implemented.

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