Comprehensive traffic industry added value accurate accounting method based on multi-source data fusion

Abstract

The invention relates to a comprehensive traffic industry added value accurate accounting method and system based on multi-source data fusion, and belongs to the field of industrial economy accounting, and the method comprises the following steps: (1) determining the corresponding relation between the industry department covered by the comprehensive traffic industry and the national economy industry department; step (2) according to the corresponding relationship, stripping out the added value generated by the comprehensive traffic industry economic activity by adopting added value data published by the existing statistical bureau or through a stripping coefficient; (3) calculating a stripping coefficient; (4) measuring and calculating the middle-class industry added value scale of the comprehensive traffic industry; and (5) calculating the added value of the comprehensive traffic industry in the corresponding year. The method has the advantages that multi-source data such as economic census data, input-output data and industrial typical production statistical data are utilized to perform fusion verification on the stripping coefficient of the comprehensive traffic industry in the national economy industry, and finally scientific and accurate calculation of the added value of the comprehensive traffic industry is realized.

Description

Technical Field

[0001] The present invention relates to a method for accurately calculating the added value of the integrated transportation industry based on multi-source data fusion, and belongs to the field of industrial economic accounting. Background Art

[0002] Existing methods for calculating industrial added value, especially for the integrated transportation industry, usually rely on the existing national economic accounting framework, and are oriented by the newly defined scope of the industry. By estimating the proportion of the total output of related products in the total output of each industry in the national economy (i.e., the stripping coefficient), the added value of the industry is stripped from other industries and aggregated. However, the existing technology has the following significant defects: 1. Single data source and insufficient basis: The existing methods mainly rely on the estimation of the stripping coefficient based on the proportion of total output, lacking the support of multi-dimensional data. The determination of the stripping coefficient is mainly based on empirical estimation, without fully combining multi-source data such as economic censuses, input-output relationships, and industry statistical surveys, resulting in insufficient accounting basis and difficult to guarantee accuracy.

[0003] 2. Rough accounting process and large errors: Due to the lack of scientificity in the stripping coefficient estimation method and the lack of cross-verification through multi-source data, the accounting results are easily affected by subjective factors. Especially for the integrated transportation industry where economic activities are scattered in multiple industries in the national economy, the existing methods cannot accurately strip its added value, and the error accumulation is significant.

[0004] 3. Insufficient dynamic adjustment ability: The traditional methods do not consider the dynamic changes of economic activities, and the stripping coefficients are mostly statically set, making it difficult to reflect the impact of industry structure changes on added value in a timely manner, resulting in poor timeliness of the accounting results.

[0005] 4. Low transparency and verifiability: The accounting process lacks clear industry correspondence relationships and formulaic expressions, making it difficult for regulatory agencies, policymakers, and researchers to verify or audit the accounting results, reducing the credibility of the data.

[0006] In view of the above problems, there is an urgent need for an accounting method based on multi-source data fusion, scientifically optimizing the stripping coefficient and supporting dynamic adjustment to improve the accuracy, transparency, and practicability of the calculation of the added value of the integrated transportation industry. Summary of the Invention

[0007] To overcome the defects of the existing technology, the present invention provides a method for accurately calculating the added value of the integrated transportation industry based on multi-source data fusion. The technical solution of the present invention is as follows: A method for accurately calculating the added value of the integrated transportation industry based on multi-source data fusion, comprising the following steps: Step S1: using a computer system to determine the correspondence between the industry sectors covered by the comprehensive transportation industry and the industry sectors of the national economy, the correspondence is matched based on the economic nature and business scope of the industry activities, and optimized through verification by industry experts and historical data comparison; Step S2: According to the corresponding relationship, for completely corresponding industry sectors, the value-added data released by the existing statistical bureau is directly used; for incompletely corresponding industry sectors, the value-added generated by the comprehensive transportation industry economic activities is stripped out through the stripping coefficient αi calculated by the computer system; Step S3: Optimize and calculate the economic census data, input-output relationship data, relevant industry statistical survey data and other multi-source data using a computer system to obtain the stripping coefficient αi of the comprehensive transportation industry in various industries of the national economy; Step S4: combining the value-added data of various industries in the national economy, using a computer system to calculate the value-added scale of the middle-class industries in the comprehensive transportation industry; Step S5: Utilize the computer system to summarize the added value scale of each medium and large category in the comprehensive transportation industry level by level, and calculate the added value of the comprehensive transportation industry in the corresponding year.

[0008] In step S2, for completely corresponding industry sectors, the added value of economic activities in the comprehensive transportation industry is equal to the added value of the national economy industry, expressed as: ; Among them, V 中类,i represents the added value of economic activities of category i in the comprehensive transportation industry, represents the added value of national economic industry i; for incompletely corresponding industry sectors, the added value of economic activities of category i in the comprehensive transportation industry is equal to the added value of the national economic industry multiplied by the stripping coefficient of the industry, expressed as: ; Among them, V i is the stripping coefficient of industry i.

[0009] In step S3, the stripping coefficient αi is first calculated using economic census data and is calculated using the following formula: ; Among them, R i 、E i and F i They are the proportions calculated based on the three indicators of operating income, number of employees and number of legal entities. w1, w2 and w3 are the weights of these three indicators respectively, and w1+w2+w3=1.

[0010] In step S3, the input and output usage data of the subdivided industries in the input-output table are used to verify the first calculated stripping coefficient αi; if the error between the two coefficient data is within 10%, the stripping coefficient of the national economic industry directly uses the first calculated stripping coefficient αi; if the error between the two coefficient data is more than 10%, the stripping coefficient is adjusted, and αi′ is used to represent the adjusted stripping coefficient, and it can be obtained: ; Where β represents the adjustment coefficient, which is determined based on the actual data acquisition, specifically: .

[0011] In step S3, according to the actual acquired data, the proportion of industry indicators is used, and the weighted average is performed with the first calculated peeling coefficient αi to comprehensively reduce the peeling coefficient error, that is: ; Among them, γ represents the key indicator value of economic activities covered by the comprehensive transportation industry in industry i, which is the key indicator value of the industry, w4 and w5 are the weights of the first-calculated stripping coefficient αi and the key indicator value γ, respectively, and w4+w5=1.

[0012] In step S4, the added value scale of the medium-sized industry in the comprehensive transportation industry is calculated by using a computer system in combination with the added value data of various industries in the national economy, and is calculated by the following formula: ; Among them, V i represents the added value of national economy industry i, α i represents the stripping coefficient of industry i.

[0013] In step S5, the added value scales of each medium and large category in the comprehensive transportation industry are summarized level by level using a computer system to calculate the added value of the comprehensive transportation industry in the corresponding year, which is calculated using the following formula: ; Among them, V 中类,i It represents the added value scale of industry i in the comprehensive transportation industry. The advantages of the present invention are: Accurate industry correspondence determination: Based on the economic nature and business scope of industry activities, the correspondence between the comprehensive transportation industry and the national economic industry sectors is accurately matched. This correspondence is verified by industry experts and optimized by historical data comparison, providing an accurate framework for subsequent accounting.

[0014] Flexible value-added data processing: According to the industry correspondence, the value-added data released by the Statistics Bureau is directly used for the completely corresponding industry sectors to ensure the authority of the data; for the incompletely corresponding industry sectors, the stripping coefficient αi calculated by the computer system is used to accurately strip out the added value generated by the economic activities of the comprehensive transportation industry, taking into account both accuracy and flexibility.

[0015] Optimized calculation of multi-source data fusion: Optimized calculation is performed on multi-source data such as economic census data, input-output relationship data, and statistical survey data of related industries to obtain the stripping coefficient αi of the comprehensive transportation industry in various industries of the national economy. The fusion of multi-source data improves the accuracy and reliability of the data. Through the verification and adjustment of multiple data sources, the scientific nature of the stripping coefficient is ensured.

[0016] Increment calculation by step-by-step summary: The added value scales of each intermediate category and major category in the comprehensive transportation industry are summarized step by step to calculate the added value of the comprehensive transportation industry in the corresponding year. The method of step-by-step summary ensures the comprehensiveness and accuracy of the accounting results and provides reliable data support for macroeconomic analysis.

[0017] Dynamic adjustment and optimization: In step S3, the stripping coefficient αi measured for the first time is verified through the ratio relationship data of the input and output usage data between the sub-sectors in the input-output table to the industry where they belong. If the error is within 10%, it is directly used; if the error is more than 10%, the stripping coefficient is adjusted to ensure the accuracy and adaptability of the stripping coefficient.

[0018] Flexible accounting method: In step S3, according to the actual data acquisition, the proportion of industry field indicators is used and weighted averaged with the stripping coefficient αi measured for the first time to comprehensively reduce the error of the stripping coefficient. This method ensures the accuracy and adaptability of the stripping coefficient through flexible weight allocation.

[0019] Comprehensive data support: The entire accounting method makes full use of multi-source data, including economic census data, input-output relationship data, statistical survey data of related industries, etc., to ensure the comprehensiveness and reliability of the data. The application of the computer system further improves the efficiency and accuracy of data processing, making the accounting results more scientific and credible. Specific implementation mode

[0020] The present invention will be further described below in conjunction with specific embodiments, and the advantages and features of the present invention will become clearer as the description progresses. However, these embodiments are merely exemplary and do not constitute any limitation to the scope of the present invention. Those skilled in the art should understand that the details and forms of the technical solution of the present invention can be modified or replaced without departing from the spirit and scope of the present invention, but such modifications and replacements all fall within the protection scope of the present invention.

[0021] The present invention relates to a method for accurately accounting the added value of the comprehensive transportation industry based on multi-source data fusion, including the following steps: Step S1: Use a computer system to determine the correspondence between the industry departments covered by the comprehensive transportation industry and the industry departments of the national economy. The correspondence is matched based on the economic nature and business scope of industry activities and optimized through verification by industry experts and comparison with historical data; Step S2: According to the corresponding relationship, for completely corresponding industry sectors, the value-added data released by the existing statistical bureau is directly used; for incompletely corresponding industry sectors, the value-added generated by the comprehensive transportation industry economic activities is stripped out through the stripping coefficient αi calculated by the computer system; Step S3: Optimize and calculate the economic census data, input-output relationship data, relevant industry statistical survey data and other multi-source data using a computer system to obtain the stripping coefficient αi of the comprehensive transportation industry in various industries of the national economy; Step S4: combining the value-added data of various industries in the national economy, using a computer system to calculate the value-added scale of the middle-class industries in the comprehensive transportation industry; Step S5: Utilize the computer system to summarize the added value scale of each medium and large category in the comprehensive transportation industry level by level, and calculate the added value of the comprehensive transportation industry in the corresponding year.

[0022] Based on the settings in the above steps, the following advantages are achieved: 1. Determine the precise industry correspondence Step S1: Use a computer system to determine the correspondence between the industry sectors covered by the comprehensive transportation industry and the industry sectors of the national economy. The correspondence is matched based on the economic nature and business scope of industry activities, and optimized through verification by industry experts and historical data comparison. This method ensures the accuracy and scientificity of the industry correspondence and provides a solid foundation for subsequent accounting.

[0023] 2. Flexible value-added data processing Step S2: According to the corresponding relationship, for completely corresponding industry sectors, the value-added data released by the existing statistical bureau is directly used; for incompletely corresponding industry sectors, the value-added generated by the comprehensive transportation industry economic activities is stripped out through the stripping coefficient αi calculated by the computer system. This method not only utilizes the authoritative statistical bureau data, but also handles the incompletely corresponding industry sectors through a scientific stripping coefficient calculation method, ensuring the accuracy and flexibility of the data.

[0024] 3. Multi-source data fusion optimization calculation Step S3: Use a computer system to optimize and calculate multi-source data such as economic census data, input-output relationship data, and relevant industry statistical survey data to obtain the stripping coefficient αi of the comprehensive transportation industry in various industries of the national economy. The integration of multi-source data improves the accuracy and reliability of the data, and the scientific nature of the stripping coefficient is ensured through the verification and adjustment of multiple data sources.

[0025] 4. Scientific method for calculating the peeling coefficient Step S3: Optimize the calculation method of the stripping coefficient through scientific algorithms and formulas. For example, use the economic census data to measure the stripping coefficient αi for the first time, and through weighted average, ensure the accuracy and scientific nature of the stripping coefficient.

[0026] 5. Application of an efficient computer system Step S4: Combine the added value data of each industry in the national economy, and use the computer system to measure the added value scale of the intermediate industries in the comprehensive transportation industry, improving the efficiency and accuracy of data processing, reducing manual intervention, and ensuring the efficiency of accounting.

[0027] 6. Progressive aggregation of added value calculation Step S5: Use the computer system to progressively aggregate the added value scales of each intermediate and major category in the comprehensive transportation industry, and calculate the added value of the comprehensive transportation industry in the corresponding year. The method of progressive aggregation ensures the comprehensiveness and accuracy of the accounting results, providing reliable data support for macroeconomic analysis.

[0028] 7. Dynamic adjustment and optimization Step S3: Verify the initially measured stripping coefficient αi through the proportional relationship data of the input and output usage data between the sub - industries in the input - output table accounting for the proportion of the industry where they are located. Through dynamic adjustment, ensure the accuracy and adaptability of the stripping coefficient.

[0029] 8. Flexible accounting method Step S3: According to the actual data acquisition situation, use the proportion of industry - specific indicators, and perform weighted average with the initially measured stripping coefficient αi to comprehensively reduce the stripping coefficient error. Through flexible weight allocation, ensure the accuracy and adaptability of the stripping coefficient.

[0030] Through innovations in multiple aspects such as precise determination of industry correspondence relationships, flexible processing of added value data, multi - source data fusion and optimization calculation, scientific calculation method of the stripping coefficient, efficient application of computer systems, progressive aggregation of added value calculation, dynamic adjustment and optimization, and flexible accounting methods, the present invention significantly improves the accuracy and efficiency of added value accounting for the comprehensive transportation industry. These advantages make the present invention have important application value in the field of industrial economic accounting, providing reliable data support for macroeconomic analysis, policy formulation, and enterprise decision - making.

[0031] In the said Step S2, for the completely corresponding industry departments, the added value of the economic activities of the intermediate categories in the comprehensive transportation industry is equal to the added value of the national economic industry, expressed as: ; Among them, V 中类,irepresents the added value of the economic activities of intermediate category i in the integrated transportation industry, and represents the added value of industry i in the national economy; for industry departments that do not fully correspond, the added value of the economic activities of the intermediate category in the integrated transportation industry is equal to the added value of the national economy industry multiplied by the stripping coefficient of this industry, expressed as: ; where V i is the stripping coefficient of industry i.

[0032] For industry departments that fully correspond, the data source directly uses the added value data released by the statistical bureau.

[0033] Advantages: Strong data authority, high reliability, simple accounting process, and high efficiency.

[0034] Scope of application: Applicable to industry departments that fully correspond to the integrated transportation industry, such as railway transportation, highway transportation, etc.

[0035] For industry departments that do not fully correspond, the data is processed through the stripping coefficient αi calculated by the computer system to accurately strip out the added value generated by the economic activities of the integrated transportation industry.

[0036] Advantages: Scientific stripping coefficient calculation method ensures the accuracy and reliability of accounting; flexible processing method adapts to the characteristics of different industry departments.

[0037] Scope of application: Applicable to industry departments that partially correspond to the integrated transportation industry, such as automobile manufacturing, logistics services, etc.

[0038] Step S2 significantly improves the accuracy and efficiency of the added value accounting of the integrated transportation industry through flexible data processing methods, authoritative data sources, scientific stripping coefficient calculation, high accounting efficiency, strong adaptability, reduced human intervention, and dynamic adjustment capabilities. These advantages make Step S2 have important application value in the field of industrial economic accounting, providing reliable data support for macroeconomic analysis, policy formulation, and enterprise decision-making.

[0039] In the said Step S3, the stripping coefficient αi is first measured using the economic census data and calculated through the following formula: ; where R i 、E i and F i are the proportions calculated using the three indicators of operating income, number of employees, and number of legal person units respectively, and w1, w2, and w3 are the weights of these three indicators respectively, and w1 + w2 + w3 = 1.

[0040] In step S3, the input and output usage data ratio of sub - industries in the input - output table to the industry they belong to is used to verify the initially calculated stripping coefficient αi. If the error between the two coefficient data is within 10%, the stripping coefficient of this national economic industry directly uses the initially calculated stripping coefficient αi. If the error between the two coefficient data is more than 10%, the stripping coefficient is adjusted, and the adjusted stripping coefficient is represented by αi′, and we can get: ; where β represents the adjustment coefficient, which is determined according to the actual data acquisition, specifically: .

[0041] In step S3, according to the actually acquired data, the proportion of industry - field indicators is used and weighted - averaged with the initially calculated stripping coefficient αi to comprehensively reduce the stripping - coefficient error, that is: ; where γ represents the key - indicator value of the economic activities covered by the integrated - transportation industry in industry i, which is the key - indicator value of this industry, and w4 and w5 are the weights of the initially calculated stripping coefficient αi and the key - indicator value γ respectively, and w4 + w5 = 1.

[0042] Based on the setting of this step S3, the following advantages are achieved: 1. Multi - source data fusion Economic census data: Provide detailed industry data, including operating income, number of employees, number of legal entities, etc.

[0043] Input - output relationship data: Provide the input and output relationships between industries to help verify and adjust the stripping coefficient.

[0044] Relevant industry statistical survey data: Provide industry - specific statistical survey data to enhance the comprehensiveness and reliability of the data.

[0045] 2. Scientific stripping - coefficient calculation method Weighted - average formula: Through the weighted - average formula, the proportions of the three indicators of operating income, number of employees, and number of legal entities are comprehensively considered to ensure the accuracy and scientific nature of the stripping coefficient.

[0046] 3. Dynamic adjustment and optimization Input - output table data: Use the ratio data of the input and output usage of sub - industries in the input - output table to the industry they belong to to verify the initially calculated stripping coefficient αi.

[0047] Error adjustment: If the error between the two coefficient data is within 10%, the initially calculated stripping coefficient αi is directly used; if the error is more than 10%, it is adjusted through the adjustment coefficient β to ensure the accuracy and adaptability of the stripping coefficient.

[0048] 4. Further reduce errors Industry field index ratio: Using the industry field index ratio, further verify and adjust the stripping coefficient.

[0049] Weighted average formula: Through the weighted average formula, comprehensively consider the initially measured stripping coefficient αi and the key index value γ to further reduce the error of the stripping coefficient.

[0050] Step S3, through innovations in aspects such as multi-source data fusion, scientific stripping coefficient calculation methods, dynamic adjustment and optimization, and further error reduction, significantly improves the accuracy and reliability of the calculation of the added value of the comprehensive transportation industry. These advantages make Step S3 have important application value in the field of industrial economic accounting, providing reliable data support for macroeconomic analysis, policy formulation, and enterprise decision-making.

[0051] In the said Step S4, combining the added value data of each industry in the national economy, use a computer system to measure the added value scale of the intermediate industries of the comprehensive transportation industry, and calculate through the following formula: ; where V i represents the added value of national economic industry i, and α i represents the stripping coefficient of industry i.

[0052] The setting of this Step S4 realizes the following advantages: Step S4 combines the added value data of each industry in the national economy and the stripping coefficient, and calculates through a formula. This method ensures the comprehensiveness and accuracy of the calculation results through data integration.

[0053] Using a computer system for calculation, Step S4 significantly improves the calculation efficiency. The computer system can quickly process a large amount of data, reduce manual intervention, and improve the accuracy and efficiency of the calculation.

[0054] Through the stripping coefficient, Step S4 can accurately reflect the economic activities of the comprehensive transportation industry in each industry. The scientific calculation and dynamic adjustment of the stripping coefficient ensure the accuracy and reliability of the measurement results.

[0055] Combining the added value data of each industry in the national economy, Step S4 can accurately measure the added value scale of the intermediate industries of the comprehensive transportation industry. This measurement method not only considers the added value of each industry in the national economy but also accurately reflects the economic activities of the comprehensive transportation industry in each industry through the stripping coefficient.

[0056] The calculation method of Step S4 has strong flexibility. By adjusting the stripping coefficient and the added value data of national economic industries, it can adapt to changes in different industries and economic environments, ensuring the accuracy and reliability of the measurement results.

[0057] Step S4 can dynamically adjust the calculation methods and parameters based on the latest economic data and industry changes. This dynamic adjustment ability enables the measurement results to promptly reflect the changes in the economic environment, enhancing the timeliness and accuracy of the accounting.

[0058] Step S4 makes full use of the added value data and stripping coefficients of various industries in the national economy, ensuring the comprehensiveness and reliability of the data. Through the integration and optimized calculation of multi-source data, the accuracy and reliability of the measurement results are improved.

[0059] Through the verification of multi-source data, the accuracy and reliability of the measurement results are ensured. The calculation method of Step S4 is verified and adjusted through multiple data sources, ensuring the scientificity and reliability of the stripping coefficients.

[0060] Through innovations in aspects such as data integration and calculation efficiency, accurate added value measurement, flexible calculation methods, transparent calculation processes, dynamic adjustment capabilities, and comprehensive data support, Step S4 significantly improves the accuracy and efficiency of the added value accounting of the comprehensive transportation industry. These advantages make Step S4 have important application value in the field of industrial economic accounting, providing reliable data support for macroeconomic analysis, policy formulation, and enterprise decision-making.

[0061] In the said Step S5, the computer system is used to gradually aggregate the added value scales of each intermediate category and major category in the comprehensive transportation industry, and the added value of the comprehensive transportation industry in the corresponding year is calculated through the following formula: ; where V 中类,i represents the added value scale of intermediate category industry i in the comprehensive transportation industry.

[0062] The setting of this Step S5 achieves the following advantages: Through gradual aggregation, Step S5 aggregates the added value scales of each intermediate category and major category in the comprehensive transportation industry to obtain the total added value of the comprehensive transportation industry. This method ensures the comprehensiveness and accuracy of the accounting results.

[0063] By using the computer system for data processing, Step S5 significantly improves the calculation efficiency and accuracy. The computer system can quickly process a large amount of data, reducing manual intervention and improving the accuracy and efficiency of the calculation.

[0064] Through clearly defined formulas and data, the transparency and verifiability of the calculation process are ensured, facilitating auditing and verification by regulatory agencies and researchers.

[0065] Step S5 can dynamically adjust the calculation methods and parameters based on the latest economic data and industry changes. This dynamic adjustment ability enables the accounting results to promptly reflect the changes in the economic environment, enhancing the timeliness and accuracy of the accounting.

[0066] By adjusting the added value data of medium categories and large categories, it is possible to adapt to changes in different industries and economic environments, ensuring the accuracy and reliability of the accounting results.

[0067] Step S5 obtains the added value of the comprehensive transportation industry through step-by-step summarization, providing important data support for macroeconomic analysis. This data support helps policymakers better understand the economic contribution of the comprehensive transportation industry, thereby formulating more effective industrial policies.

[0068] The calculation method of step S5 has strong flexibility. By adjusting the added value data of medium categories and large categories, it is possible to adapt to changes in different industries and economic environments, ensuring the accuracy and reliability of the accounting results.

[0069] Step S5 makes full use of the added value data of each medium category and large category in the comprehensive transportation industry, ensuring the comprehensiveness and reliability of the data. Through the integration and optimized calculation of multi-source data, the accuracy and reliability of the accounting results are improved.

[0070] Through various innovations such as comprehensive step-by-step summarization, efficient application of computer systems, transparent calculation processes, dynamic adjustment capabilities, macroeconomic analysis support, flexible calculation methods, and comprehensive data support in step S5, the accuracy and efficiency of the added value accounting of the comprehensive transportation industry are significantly improved. These advantages make step S5 have important application value in the field of industrial economic accounting, providing reliable data support for macroeconomic analysis, policy formulation, and enterprise decision-making.

[0071] The present invention relates to a precise accounting method for the added value of the comprehensive transportation industry based on multi-source data fusion, and realizes the precise accounting of the added value of the comprehensive transportation industry through the following steps: Step S1: Determine the industry correspondence relationship. Use a computer system to determine the correspondence relationship between the industry departments covered by the comprehensive transportation industry and the national economic industry departments. This correspondence relationship is matched based on the economic nature and business scope of industry activities, and is optimized through verification by industry experts and comparison with historical data. Ensure the accuracy and scientific nature of the industry correspondence relationship, providing a solid foundation for subsequent accounting.

[0072] Step S2: Process the added value data. According to the industry correspondence relationship, for industry departments with complete correspondence, directly adopt the added value data released by the existing statistical bureau; for industry departments with incomplete correspondence, accurately strip out the added value generated by the economic activities of the comprehensive transportation industry through the stripping coefficient αi calculated by the computer system. This method not only utilizes the authoritative statistical bureau data but also processes industry departments with incomplete correspondence through a scientific stripping coefficient calculation method, ensuring the accuracy and flexibility of the data.

[0073] Step S3: Multi-source data fusion and optimization calculation. Use the computer system to perform optimization calculations on multi-source data such as economic census data, input-output relationship data, and relevant industry statistical survey data, and obtain the stripping coefficient αi of the comprehensive transportation industry in each industry of the national economy. The fusion of multi-source data improves the accuracy and reliability of the data. Through the verification and adjustment of multiple data sources, the scientific nature of the stripping coefficient is ensured.

[0074] Step S4: Measurement of the added value of intermediate industries. Combine the added value data of each industry in the national economy, and use the computer system to measure the scale of the added value of the intermediate industries of the comprehensive transportation industry. Through calculation using formulas, the comprehensiveness and accuracy of the calculation results are ensured. The application of the computer system improves the efficiency and accuracy of data processing, reduces manual intervention, and ensures the high efficiency of accounting.

[0075] Step S5: Estimation of added value by hierarchical aggregation. Use the computer system to hierarchically aggregate the added value scales of each intermediate and major category in the comprehensive transportation industry, and estimate the added value of the comprehensive transportation industry in the corresponding year. Through calculation, the comprehensiveness and accuracy of the accounting results are ensured. The method of hierarchical aggregation provides reliable data support for macroeconomic analysis.

[0076] Through innovations in multiple aspects such as precise determination of industry correspondence relationships, flexible processing of added value data, multi-source data fusion and optimization calculation, scientific calculation methods for stripping coefficients, efficient application of computer systems, hierarchical aggregation of added value estimates, dynamic adjustment and optimization, and flexible accounting methods, the present invention uses a computer system for data processing and analysis, improves the efficiency and accuracy of data processing, and significantly improves the accuracy and efficiency of the added value accounting of the comprehensive transportation industry.

Claims

1. An accurate accounting method for the added value of the integrated transportation industry based on multi-source data fusion, characterized in that, The following steps are involved: Step S1: using a computer system to determine the correspondence between the industry sectors covered by the comprehensive transportation industry and the industry sectors of the national economy, the correspondence is matched based on the economic nature and business scope of the industry activities, and optimized through verification by industry experts and historical data comparison; Step S2: According to the corresponding relationship, for completely corresponding industry sectors, the value-added data released by the existing statistical bureau is directly used; for incompletely corresponding industry sectors, the value-added generated by the comprehensive transportation industry economic activities is stripped out through the stripping coefficient αi calculated by the computer system; Step S3: Optimize and calculate the economic census data, input-output relationship data, relevant industry statistical survey data and other multi-source data using a computer system to obtain the stripping coefficient αi of the comprehensive transportation industry in various industries of the national economy; Step S4: combining the value-added data of various industries in the national economy, using a computer system to calculate the value-added scale of the middle-class industries in the comprehensive transportation industry; Step S5: Utilize the computer system to summarize the added value scale of each medium and large category in the comprehensive transportation industry level by level, and calculate the added value of the comprehensive transportation industry in the corresponding year.

2. The accurate accounting method for the added value of the integrated transportation industry based on multi-source data fusion according to claim 1, wherein In the step S2, for the completely corresponding industry sectors, the added value of the economic activities of the middle categories in the comprehensive transportation industry is equal to the added value of the national economic industry, which is expressed as: ; Among them, V 中类,i represents the added value of economic activities of intermediate category i in the comprehensive transportation industry, and represents the added value of industry i in the national economy; for industry sectors that do not exactly correspond, the added value of economic activities of intermediate categories in the comprehensive transportation industry is equal to the added value of the national economy industry multiplied by the stripping coefficient of this industry, which is expressed as: ; among them, V i is the stripping coefficient of industry i.

3. The method for accurately calculating the added value of the integrated transportation industry based on multi-source data fusion according to claim 2, wherein In step S3, the stripping coefficient αi is first calculated using economic census data and is calculated using the following formula: ； Among them, R i , E i and F i are the proportions calculated by the three indicators of operating income, the number of employees, and the number of legal entities respectively. w1, w2, and w3 are the weights of these three indicators respectively, and w1 + w2 + w3 = 1.

4. The method for accurately calculating the added value of the integrated transportation industry based on multi-source data fusion according to claim 3, characterized in that, In the said step S3, the input and output usage data between the sub-sectors in the input-output table and the proportional relationship data of the industry where they are located are used to verify the initially measured stripping coefficient αi. If the error between the two coefficient data is within 10%, the stripping coefficient of this national economic industry directly uses the initially measured stripping coefficient αi. If the error between the two coefficient data is more than 10%, the stripping coefficient is adjusted, and the adjusted stripping coefficient is represented by αi′, and we can get: ; where β represents the adjustment coefficient, which is determined according to the actual data acquisition, specifically: .

5. The method for accurately calculating the added value of the comprehensive transportation industry based on multi-source data fusion according to claim 4, wherein In the step S3, according to the actually obtained data, using the proportion of industry field indicators and performing weighted average with the initially measured stripping coefficient αi to comprehensively reduce the stripping coefficient error, that is: ; where γ represents the key indicator value of the economic activities covered by the integrated transportation industry in industry i, which is the key indicator value of this industry, w4 and w5 are the weights of the initially measured stripping coefficient αi and the key indicator value γ respectively, and w4 + w5 = 1.

6. The method for accurately calculating the added value of the integrated transportation industry based on multi-source data fusion according to claim 5, characterized in that In the step S4, combined with the added value data of various industries in the national economy, the computer system is used to measure the added value scale of the middle-level industries in the comprehensive transportation industry, which is calculated by the following formula: ; Among them, V i represents the added value of the national economic industry i, and α i represents the stripping coefficient of industry i.

7. The accurate accounting method for the added value of the integrated transportation industry based on multi-source data fusion according to claim 6, characterized in that In step S5, the computer system is used to gradually sum up the added value scales of each middle category and large category in the comprehensive transportation industry to calculate the added value of the comprehensive transportation industry in the corresponding year, which is calculated by the following formula: ; Among them, V 中类,i represents the added value scale of the middle-category industry i in the integrated transportation industry.

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