Compilation method of high-precision multi-region marine economy input-output table

Abstract

The invention relates to the technical field of data processing, in particular to a compilation method of a high-precision multi-region marine economy input-output table, which comprises the following steps: acquiring a database; an initial MRIO table containing the research area is obtained according to data in the database, if input and output information of the research area is not in the same MRIO table, department matching is carried out, and an MRIO table with consistent departments is constructed, otherwise, department matching is not carried out; adjusting the region sequence in the department-consistent MRIO table to obtain an MRIO table in a standard form; constructing a bridge matrix and a sub-bridge matrix according to the added value proportion of the ocean industry of each region in the industry to which the ocean industry belongs; checking and updating the original bridge matrix and the sub-bridge matrix; and splitting the input-output information of the marine industry from the MRIO table in the standard form according to the bridge matrix, and carrying out balance processing to obtain a balanced MMRIO table. According to the method, a scientific basis and technical support are provided for systematically and finely compiling the MMRIO table.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method for compiling a high-precision multi-region marine economic input-output table. Background Art

[0002] The trade between the marine economy and the land economy means that the development of the marine industry will not only drive economic growth in non-coastal areas and non-marine industries, but also bring about indirect resource consumption and ecological and environmental impacts across regions and industries in the entire industrial chain. How to quantify the economic and trade relations between marine industries and non-marine industries in coastal areas, analyze the economic effects and resource and environmental impacts on the entire industrial chain, and study marine industry management, resource and ecological environment optimization policies based on this are issues that need to be urgently addressed. However, due to the difficulties in data collection and the limitations of data compilation, the cross-regional economic trade of marine industry development in the entire industrial chain is still unclear. Therefore, a method for compiling a high-precision multi-regional marine economic input-output table is urgently needed. Summary of the invention

[0003] The purpose of the present invention is to provide a method for compiling a high-precision multi-regional marine economic input-output table. By splitting the national economic sectors in the original multi-regional input-output table into refined marine sectors, the new multi-regional marine economic input-output table can more finely capture the economic and trade relations between the marine sectors in various coastal areas and between these sectors and inland sectors. The marine economic input-output table is groundbreakingly refined spatially to a multi-regional level, which improves the spatial resolution and solves the problem of difficulty in compiling tables on a small geographical scale in the past. The modular compilation framework and compilation process enable it to have the functions of dynamic updating and cross-validation. Compared with existing theories and methods, the present invention clarifies the teleconnection mechanism between marine sectors and non-marine sectors across regions, and by introducing a bridge matrix, it realizes the interconnection of intermediate trade between regions and sectors, providing a scientific basis and technical support for national marine industry development research and strategy formulation.

[0004] To achieve the above object, the present invention provides the following solutions:

[0005] A method for compiling a high-precision multi-region marine economic input-output table, including:

[0006] Collect and modularize the initial data of the study area to obtain a database;

[0007] Obtaining an initial MRIO table containing the study area according to the data in the database; if the input-output information of the study area is not in the same MRIO table, performing department matching to construct a department-consistent MRIO table; otherwise, no department matching is performed;

[0008] Adjust the order of regions in the MRIO table that is consistent with the department. If the input-output information of the research area is not in the same MRIO table, first perform modular processing and re-modularize it according to the standard structure of the multi-region input-output table, and then adjust the order of regions to obtain the standard form of MRIO table;

[0009] According to the added value share of marine industries in each region in its respective industries, a bridge matrix and a sub-bridge matrix are constructed;

[0010] Verify and update the original bridge matrix and sub-bridge matrix based on the latest historical data provided by the marine department;

[0011] According to the bridge matrix, the input-output information of the marine industry is separated from the standard form of the MRIO table to obtain a multi-regional marine economic input-output MMRIO table;

[0012] The multi-regional marine economic input-output MMRIO table is balanced to obtain a balanced multi-regional marine economic input-output MMRIO table.

[0013] Optionally, collecting initial data of the research area and modularizing it includes: collecting initial data including input-output tables, customs data, marine industry economic data, and macroeconomic data, and storing the initial data in the database according to a preset format.

[0014] Optionally, department matching includes: splitting, merging and reorganizing department data through the production end and the consumption end in turn, and mapping the department data to a unified benchmark department.

[0015] Optionally, obtain a standard form MRIO form including:

[0016] If the input-output information of the study area is in the same MRIO table, the data in the department-consistent MRIO table will be adjusted according to the order of coastal areas and non-coastal areas. If the input-output information of the study area is not in the same MRIO table, the department-consistent MRIO table will be modularized according to its components, and the customs data and the global multi-regional input-output table will be used to estimate the trade volume between the missing regions. Then, modular splicing will be performed according to the standard structure of the MRIO table to construct a complete MRIO table including all the study areas. Then, the study areas in the complete MRIO table will be sorted according to coastal areas and non-coastal areas to form the standard form of the MRIO table.

[0017] Optionally, build a bridge matrix including:

[0018] = ;

[0019] Where C is the bridge matrix, is the sub-bridge matrix, i=1…k, is the number of study areas in the standardized MRIO table;

[0020] Among them, the sub-bridge matrix is:

[0021] ;

[0022] in, is the identity matrix, is the number of marine sectors, is the number of national economic sectors, and is the sub-bridge matrix C i In both cases, the corresponding forms are: is the proportion of the added value of the pth marine sector in the added value of the national economic sector to which it belongs, q is the serial number of the national economic sector to which the pth marine sector belongs, is the proportion of non-marine sector value added in the value added of national economic sector q;

[0023] for:

[0024] ;

[0025] Among them, p is the serial number of the ocean department, is the added value of the pth marine sector, is the value added of the qth national economic sector related to the pth marine sector.

[0026] Optionally, the input-output information of the marine industry is separated from the standard form of the MRIO table, including:

[0027] Using the added value data of the marine industry and the national economic sectors in each region, the input-output information of the marine sector is separated from the standard MRIO table from the production side and the consumption side according to the bridge matrix, the method is as follows:

[0028] ;

[0029] ;

[0030] ;

[0031] ;

[0032] ;

[0033] in, is the bridge matrix, is the transpose of the bridge matrix, For the intermediate matrix after splitting, For the intermediate use matrix before splitting, is the final usage matrix after splitting, is the final matrix before splitting, is the export matrix after splitting, is the export matrix before splitting, is the added value matrix after splitting, is the added value matrix before splitting, is the split import matrix, is the import matrix before splitting;

[0034] The split intermediate use matrix, final use matrix, export matrix, import matrix and value-added matrix are spliced ​​according to the structure of the standard MRIO table to form the multi-regional marine economic input-output MMRIO table.

[0035] Optionally, separating the marine industry input-output information from the standard form of the MRIO table also includes:

[0036] The standard form MRIO table and the bridge matrix are divided into blocks, the sub-bridge matrices of each region are extracted, and the input-output information of the marine department of each region is separated from the standard form MRIO table by:

[0037] ;

[0038] ;

[0039] ;

[0040] ;

[0041] ;

[0042] in, is the sub-bridge matrix of region a on the production side, is the transpose of the sub-bridge matrix of region b on the consumer side, is a modular intermediate matrix, For modularity the final matrix is ​​used, is a modular export matrix, Adding value to the modularity matrix, For modular import matrices, For the modular intermediate use matrix after the marine sector is split out, To create a modular export matrix after the marine sector is separated, To decouple the marine sector from the modular end-use matrix, For the modular value added matrix after the marine sector is separated, A modular import matrix after the marine sector is separated;

[0043] The modular intermediate use matrix, final use matrix, export matrix, import matrix and value-added matrix after the marine sector is split out are spliced ​​according to the structure of the standard form of the MRIO table to form the multi-regional marine economic input-output MMRIO table.

[0044] Optional, balanced multi-regional marine economic input-output MRIO tables include:

[0045] The double-ratio scaling method RAS or the cross-entropy method CE is used to level the spliced ​​multi-regional marine economic input-output MMRIO table to obtain a balanced multi-regional marine economic input-output MMRIO table.

[0046] The present invention also provides a system for compiling a high-precision multi-region marine economic input-output table, including: a data module, a matching module, a standardization module, a bridge matrix and a sub-bridge matrix construction module, a verification module, a splitting module and a balancing module;

[0047] The data module is used to collect initial data of the research area and modularize it to obtain a database;

[0048] The matching module is used to obtain an initial MRIO table containing the research area according to the data in the database. If the input-output information of the research area is not in the same MRIO table, department matching is performed to construct a department-consistent MRIO table. Otherwise, department matching is not performed.

[0049] The standardization module is used to adjust the order of regions in the MRIO table consistent with the department. If the input-output information of the research area is not in the same MRIO table, modular processing is first performed, and modular splicing is re-performed according to the standard structure of the multi-region input-output table, and then the order of regions is adjusted to obtain the MRIO table in a standard form;

[0050] The bridge matrix and sub-bridge matrix construction module is used to construct the bridge matrix and sub-bridge matrix according to the added value proportion of the marine industry in each region in the industry to which it belongs;

[0051] The verification module is used to verify and update the original bridge matrix and sub-bridge matrix according to the latest historical data provided by the marine department;

[0052] The splitting module is used to split the input-output information of the marine industry from the standard MRIO table according to the bridge matrix to obtain the multi-regional marine economic input-output MMRIO table;

[0053] The balancing module is used to balance the multi-regional marine economic input-output MMRIO table to obtain a balanced multi-regional marine economic input-output MMRIO table.

[0054] The beneficial effects of the present invention are as follows: (1) The technology in the present invention is applicable to the compilation of MMRIO tables at various spatial scales, including the global level, national level, regional level (such as coastal economic belts, urban agglomerations, bay areas, etc.) and city level (such as provincial cities or counties, cities or counties within a region, etc.). (2) The technology in the present invention is also applicable to the more refined splitting of the economic and trade relations of the marine sector between regions, the splitting of the economic and trade relations of marine-related industries between regions, and the refined splitting of other national economic sectors between regions. (3) The present invention can be used for land-sea economic correlation analysis, global value chain analysis of the marine economy, and the impact of emergencies on the marine economic system and non-marine economic system. (4) In the future, by nesting with resource accounts and ecological environment accounts, the present invention can comprehensively analyze the production and consumption ends of marine and non-marine industries and the impact of resources and the ecological environment on the entire industrial chain. In short, the present invention has wide applicability and provides a scientific basis and technical support for the systematic and refined compilation of multi-regional marine economic input-output MMRIO tables. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] 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 will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 A flowchart of a method for compiling a high-precision multi-regional marine economic input-output table according to an embodiment of the present invention;

[0057] Figure 2 A schematic diagram of a bridge matrix structure according to an embodiment of the present invention;

[0058] Figure 3 This is a schematic diagram of the splitting of the ocean department according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and understandable, the technical scheme in the embodiments of the present invention is clearly and completely described below in combination with the drawings and specific implementation methods 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 making creative work are within the scope of protection of the present invention.

[0060] Embodiment 1:

[0061] For the case where the input-output information of the studied area is in the same input-output table, such as the construction of the multi-regional marine economic input-output MMRIO table for my country's coastal provinces (or coastal cities), as shown in Figure 1 As shown, the specific steps include:

[0062] Step 1: Collect initial data of the study area and modularize it:

[0063] In this embodiment, the initial data is processed modularly, and a modular compilation framework and compilation process are adopted. Initial data including input-output data (including provincial or city-level multi-regional input-output tables), marine industry economic development data, and macroeconomic data of various national economic departments are collected. For some missing marine industry added value, output value, and marine economic production activity data, it is necessary to give priority to the use of known data, and with the help of the output value data of marine economic activities at a high scale and the marine industry added value data of existing regions, estimates are made through methods such as downscaling and total amount constraints, and the initial data are stored in the data module in a preset format. In the future, the existing initial data can be verified and updated by automatically obtaining the latest official statistics and data from other reliable sources.

[0064] Step 2: Obtain provincial or city-level input-output tables and perform department matching:

[0065] Collect input-output tables that include coastal provinces or cities. Currently available input-output tables include MRIO tables for 31 Chinese provinces (including municipalities and autonomous regions) from the China Carbon Emission Database (CEADs), and MRIO tables for 313 regions including Chinese cities and provinces. For these two types of MRIO tables, the input-output information of the studied regions is in the same input-output table, and both types of MRIO tables are 42 national economic sectors that meet national standards, so there is no need to perform sector matching operations here.

[0066] Step 3: Construct a standard multi-regional marine economic input-output table:

[0067] Obtaining a standard form of the MRIO table includes: in the case where the input-output information of the research area is in the same MRIO table, the data corresponding to the area in the MRIO table are adjusted in sequence according to the order of coastal areas and non-coastal areas, so as to obtain the standard form of the MRIO table.

[0068] Step 4: Construct bridge matrix and sub-bridge matrix:

[0069] (1) Estimation of the added value of marine industries in coastal provinces and cities:

[0070] Thirteen major marine industries that currently have public data and can achieve technical decomposition have been identified: marine fisheries, marine oil and gas, marine mining, marine salt, marine shipbuilding, marine chemical, marine biomedicine, marine engineering and construction, marine electric power, seawater utilization, marine transportation, coastal tourism, and marine scientific research, education, management and services.

[0071] Estimation of the added value of marine industries above the provincial level: Assuming that the economic production activities of marine industries are proportional to the added value, actual data are given priority, that is, the gross output data of each marine industry in provinces with official statistical data (such as Guangdong Province) are fixed. For the case of no statistical data, it is necessary to estimate according to the linear relationship and then perform total constraint processing. Specifically, based on the added value data of each marine industry in the country, according to the proportion between the marine economic production activities of the 11 coastal provinces (cities, municipalities), the sum of the added value of each marine industry in the unknown provinces (the total added value of the country minus the known added value of Guangdong Province) is split into the remaining 10 coastal provinces. Then, the value is further adjusted by double total constraints. Specifically, the gross output data of each marine industry in the unknown provinces estimated preliminarily are used as the initial data. Under the dual balance constraints of the total added value of all major marine industries in each unknown province and the total added value of each major marine industry in all unknown provinces (the total added value of the country minus the known added value of Guangdong Province), the initial data are adjusted by the classic dual-proportion scaling method RAS or the cross-entropy method CE, and the final added value of each marine industry in each coastal province is estimated. It should be noted that: (1) in the case of missing marine economic production activities, it is necessary to use the output value of the marine-related sector (defined here as "the national economic sector where the marine sector is located"), use the output value distribution ratio between the known provinces and the provinces with unknown data, and then use the marine economic production activity data of the known provinces to estimate the marine economic production activity data of the missing provinces; (2) in the case of missing data for the required years, the proportion of economic development scale (such as GDP) in different years is used to estimate; (3) in the case of large difference in the original data, it is treated as 0; (4) in the case of no statistical data, it is first estimated according to the linear relationship, and then the total amount constraint is imposed.

[0072] Estimation of the added value of marine industries at or above the city level: Based on the above estimates, it is assumed that (1) the ratio between the marine sector and its marine-related sectors in each coastal city is the same as the ratio between the marine sector and marine-related sectors in the province; and (2) only coastal cities have marine economies, not coastal inland cities. Using the ratio of GDP between coastal cities in each coastal province, the added value of 13 marine industries in 11 coastal provinces is allocated to each coastal city through downscaling.

[0073] (2) If Figure 2 As shown in the figure, according to the added value proportion of marine industry in its own industry, the bridge matrix and sub-bridge matrix are constructed:

[0074] Construct the bridge matrix:

[0075]

[0076] Where C is the bridge matrix, is the sub-bridge matrix, i=1…k, is the number of coastal provinces (or cities).

[0077] Among them, the sub-bridge matrix is:

[0078]

[0079] in, is the identity matrix, is the number of marine sectors, is the number of national economic sectors, and is the sub-bridge matrix C i In both cases, the corresponding forms are: is the proportion of the added value of the pth marine sector in the added value of its corresponding marine-related sector, q is the serial number of the national economic sector to which the pth marine sector belongs, is the proportion of non-marine sector value added in the value added of national economic sector q;

[0080] for:

[0081]

[0082] Among them, p is the serial number of the ocean department, is the added value of the pth marine sector, is the added value of the qth national economic sector related to the pth marine sector. Here, when the estimated added value of marine industries at the city level in China is used and the obtained proportion is greater than 1, it is necessary to use the proportion of the added value of the marine sector at the provincial level in the added value of its corresponding marine-related sector. If the proportion at the provincial level is also greater than 1, it is necessary to use the proportion of the added value of the marine sector at the national level in the added value of its corresponding marine-related sector to ensure the rationality of the estimate.

[0083] Step 5: Verify data:

[0084] The existing database is updated and optimized by using the latest multi-regional input-output table MRIO, statistics on marine industry economic activities, etc. The latest data is collected from official statistics, scientific research results and other channels, and compared and corrected with the existing database, and the potential assumptions are improved by updating the existing data.

[0085] Step 6: Split the marine sector:

[0086] Using the added value data of the marine industry in each region and the national economic sector to which it belongs, the input-output information of the marine sector is split from the production side and the consumption side from the standard MRIO table according to the bridge matrix. The detailed splitting principle and splitting method are expressed by the formula as follows:

[0087]

[0088] in, is the bridge matrix, is the transpose of the bridge matrix, For the intermediate matrix after splitting, For the intermediate use matrix before splitting, is the final usage matrix after splitting, is the final matrix before splitting, is the export matrix after splitting, is the export matrix before splitting, is the added value matrix after splitting, is the added value matrix before splitting, is the split import matrix, is the import matrix before splitting;

[0089] Subsequently, the split intermediate use matrix, final use matrix, export matrix, import matrix, and value-added matrix are stored according to the structure of the standard MRIO table to obtain the MMRIO table.

[0090] The standard form MRIO table and bridge matrix can also be divided into blocks, and the sub-bridge matrix of each region can be extracted to separate the input-output information of each part of the marine department in each region from the standard form MRIO table. First, each part of the MRIO table is modularized. Specifically, the intermediate use matrix Z is divided into (number of departments) (number of departments) as a group, forming ; The final demand matrix and export matrix According to each (number of departments) 1 as a group, forming and , will increase the value matrix , Import Matrix According to each 1 (number of departments) as a group, forming , .

[0091]

[0092] Among them, a is the number of national economic sectors in each province (or city) on the production side, and b is the number of national economic sectors in each province (or city) on the consumption side, both of which are 42. For the intermediate matrix before block processing, For the final matrix before block processing, is the export matrix before block processing, is the value-added matrix before block processing, is the import matrix before block processing. is a modular intermediate matrix, For modularity the final matrix is ​​used, For modular export matrix, Adding value to the modularity matrix, For modular import matrices.

[0093] The various parts of the MRIO table are separated into the marine sector by introducing the bridge matrix. The detailed modular separation process is as follows:

[0094]

[0095] in, is the sub-bridge matrix of region a on the production side, is the transpose of the sub-bridge matrix of region b on the consumer side, is a modular intermediate matrix, For modularity the final matrix is ​​used, is a modular export matrix, Adding value to the modularity matrix, For modular import matrices, For the modular intermediate use matrix after the marine sector is split out, To create a modular export matrix after the marine sector is separated, For the modular value added matrix after the marine sector is separated, A modular import matrix after the marine sector is separated;

[0096] The modular intermediate use matrix, final use matrix, export matrix, import matrix and value-added matrix after the marine sector is split out are spliced ​​according to the structure of the multi-regional input-output table to form the MMRIO table.

[0097] The schematic diagram of the split of the marine sector is as follows Figure 3 shown.

[0098] Step 7: Perform balancing:

[0099] The double-ratio scaling method RAS or the cross entropy method CE is used to level the spliced ​​MMRIO table to obtain a balanced MMRIO table, where the balanced MMRIO table satisfies:

[0100] Use the GDP of each region to shrink the final use and exports of each sector in the corresponding region proportionally;

[0101] Use the GDP of each region to shrink the value added of each sector in the corresponding region proportionally;

[0102] The row limit for each region and sector = total output - final use - export value;

[0103] The column limitation for each region and department is = total input - value added - import amount.

[0104] Finally, the basic form of the compiled multi-regional marine economic input-output table is shown in Table 1.

[0105] Table 1

[0106] .

[0107] The method of this embodiment is universal and applicable to a variety of situations at home and abroad, including the global level, national level, regional level (such as coastal economic belts, urban agglomerations, bay areas, etc.) and city level (such as cities or counties under provincial administrative divisions, cities or counties within regions, etc.). In actual operation, the initial data can be replaced with the input-output table of the research area and the data of the marine economy.

[0108] Embodiment 2:

[0109] For the case where the input-output information of the studied region is not in the same input-output table, such as for the target region in China, the construction of its MMRIO table specifically includes the following steps:

[0110] Step 1: Modularize the initial data.

[0111] Step 2: Obtain the city-level input-output table and perform department matching:

[0112] If the input-output information of the study area is not in the same input-output table, it is necessary to match the departments of all input-output tables into consistent departments, that is, to perform department matching. Department matching is to first formulate 42 benchmark departments based on the national economic industry classification standard, and then refer to this benchmark department to carefully split, merge and reorganize the data of each department from the production end (processing the intermediate use matrix, final use matrix, export matrix from the row direction) and the consumption end (processing the intermediate use matrix, value-added matrix, import matrix from the column direction) for each MRIO table, accurately map the data of all national economic departments in each MIRO table to the aforementioned benchmark department, generate new data corresponding to the benchmark department, and thus match all MRIO tables into a consistent department form.

[0113] Here, the city-level input-output table comes from the MRIO table (42 sectors) of the China Carbon Emission Database (CEADs) covering 313 regions in China, and the multi-regional input-output MRIO table (EMERGING database, 134 sectors) including emerging economies around the world. According to research needs, the data corresponding to the sectors on the production and consumption sides in the EMERGING database were processed into data on 42 national economic sectors by merging, splitting and reorganizing.

[0114] Step 3: Process the input-output table into a standard Bay Area-level multi-region input-output table:

[0115] If the input-output information of the study area is not in the same MRIO table, the MRIO table after department matching will be modularized according to its components, and the trade volume between the missing regions will be estimated using customs data and the global multi-regional input-output table. Then, modular splicing will be performed according to the standard structure of the multi-regional input-output table to construct a complete multi-regional input-output table including all the study areas. Then, the study areas in the complete multi-regional input-output table will be sorted according to coastal areas and non-coastal areas to obtain a standard MRIO table. Specifically:

[0116] It is necessary to embed the input-output table of China region A with the input-output information of China region B and China region C. Assume that (1) the trade ratio of service industry between China region A and China region B, China region C, and other overseas regions is consistent with the trade ratio of China region A to these regions; (2) the trade ratio of various final products between China region A and China region B, China region C, and other overseas regions is consistent with the trade ratio of China region A to these regions; (3) the distribution between intermediate products and final products is distributed according to the structure of importing cities. Then, customs data and global multi-regional input-output tables are used to connect the MRIO tables of coastal provinces / cities in China region A and the MRIO tables including China region B and China region C, and the trade volume of intermediate products and final products of each region in China region A with China region B, China region C, and other overseas regions is obtained.

[0117] (1) Input-output information of City A in the target region of China:

[0118] Table 2 shows the modular form of the multi-regional marine economic input-output table for China's target areas. , , , , , , , , , , , , , , , , , Among them, Z11 is the intermediate use matrix of China region D; Z14 is the intermediate use matrix of China's 304 regions to China region D; Z41 is the intermediate use matrix of China region D to China's 304 regions; Z44 is the intermediate use matrix of China's 304 regions; F11 is the final use matrix of China region D; F14 is the final use matrix of China's 304 regions to region D; F41 is the final use matrix of China region D to China's 304 regions; F44 is the final use matrix of China's 304 regions; Im1 is China region The import matrix of intermediate use of region D; Im4 is the import matrix of intermediate use of 304 regions in China; Im5 is the import matrix of final use of region D in China; Im8 is the import matrix of final use of 304 regions in China; VA1 is the value-added matrix of region D in China; VA4 is the value-added matrix of 304 regions in China; Tot1 is the total input or total output matrix of region D in China; Tot4 is the total input or total output matrix of 304 regions in China; Ex1 is the export matrix of region D in China; Ex4 is the export matrix of 304 regions in China.

[0119] Table 2

[0120] .

[0121] (2) For China Region B and China Region C, the non-competitive single-region input-output table is stored according to its input-output structure. The non-competitive single-region input-output table is an economic analysis tool used to describe the sources and uses of various products in the national economy. The difference from the competitive input-output table is that the non-competitive input-output table refines the intermediate use and final use, and distinguishes between domestic products and imported products.

[0122] (3) The trade data between China region B and China region C is stored according to the trade direction.

[0123] Divide the data in (2) and (3) into different modules for storage: , , , , , , , , , , , ; , , , ; , , , .in, The intermediate usage matrix for region B in China; The final use matrix of China region B; Ex_HK is the export matrix of China region B; is the intermediate use matrix of China region C; F33 is the final use matrix of China region C; Ex_MAC is the export matrix of China region C; Im2 is the import matrix of intermediate use of China region B; The import matrix used by C in the Chinese region; The import matrix for the final use of region B in China; The import matrix for the final use of region C in China; is the value-added matrix of region B in China; is the value-added matrix of region C in China; is the total output of region B in China; is the total output of region C in China; The usage matrix for the flow from China region B to China region C; The final use matrix for the flow from region B in China to region C in China; The usage matrix for the flow from China region C to China region B; The final use matrix for the flow from China region C to China region B; It is the intermediate usage matrix from various places in region A in China to region B in China; It is the intermediate usage matrix from various places in region A in China to region C in China; The final use matrix of the flow from various places in China region A to China region B; This is the final use matrix of the flow from various places in region A in China to region C in China.

[0124] (4) Calculate the ratio between the intermediate use matrix (Z) and the final use matrix (F) from China region A to China region B and China region C:

[0125] For the intermediate use matrix Z of 42 national economic sectors, customs data (agriculture, industry and construction) and intermediate product data (service industry) in the EMERGING database are used. Specifically: ① For agriculture, industry and construction, the customs data are processed by comparing the customs code (HS) with the national economic industry code to obtain the import and export between agriculture, industry and construction in 313 regions and China Region B, China Region C and other overseas regions, and the trade ratio between China Region A and China Region B, China Region C and other overseas regions is calculated. ② For the service industry, since there is no customs trade statistics for each city in China Region A, the trade data of the service industry between China Region A and China Region B, China Region C and other overseas regions in the EMERGING database is used to process the trade ratio of the service industry between China Region A and China Region B, China Region C and other overseas regions. Here, it is assumed that the trade ratio of the service industry between each region in China Region A and China Region B, China Region C and other overseas regions is consistent with the trade ratio of the entire China Region A to it. Finally, by combining the above proportions of agriculture, industry, construction and service industries, we can obtain the import and export ratios of 42 national economic sectors in 313 regions of China Region A between China Region B, China Region C and other overseas regions, which are recorded as vector sets Ratio1 and Ratio2 respectively.

[0126] For the final use demand F part, the final product data in the EMERGING database is used. By processing the trade data of final products between China region A and China region B, China region C, and other overseas regions in the EMERGING database, the ratio between the three is obtained. It is assumed that the trade ratio of various final products between each region in China region A and China region B, China region C, and other overseas regions is consistent with the trade ratio of the entire China region A to it. Thus, the import and export ratio of various final product sectors in 313 regions of China region A between China region B, China region C, and other overseas regions can be obtained. In fact, only one ratio is used, and the import ratio is recorded as the vector set Ratio3.

[0127] (5) Expand the Z and F of each region in China region A to all departments in China region B and China region C:

[0128] ① Use Ratio2 to split the export statistics of various regions and departments in China region A into the export values ​​(Ex) of 42 departments in 313 regions to China region B, China region C, and the same departments in other overseas regions.

[0129] ② Normalize Z and F of China Region B and China Region C, and then separate their respective total values ​​of Z and F (Ex_Z, Ex_F) from exports (Ex).

[0130] ③ According to the economic structure of the importing cities China Region B and China Region C, it is estimated that China Region B and China Region C come from 313 regions Z and F.

[0131] ④Use As a sum constraint, adjust Z and F.

[0132] Modularize the results: Among them, Z12 is the intermediate use matrix of China region B for China region D; Z42 is the intermediate use matrix of China region B for other China region A except China region D; Z13 is the intermediate use matrix of China region C for China region D; Z43 is the intermediate use matrix of China region C for other China region A except China region D; F12 is the final use matrix of China region B for China region D; F42 is the final use matrix of China region B for other China region A except China region D; F13 is the final use matrix of China region C for China region D; F43 is the final use matrix of China region C for other China region A except China region D.

[0133] (6) Expand the intermediate use matrix Z and final use matrix F of all departments in regions B and C of China region A:

[0134] The operation of the intermediate demand matrix Z is the same as (5), except that the exports in (5) are changed to imports, and Ratio1 is used. In addition, for the final demand matrix F, Ratio3 is used to split the import statistics of various sectors in 313 regions into the import values ​​of various types of final demand in 313 regions from the same sectors in Chinese region B, Chinese region C, and other overseas regions.

[0135] Modularize the results: Among them, Z21 is the intermediate use matrix of China region D for China region B; Z24 is the intermediate use matrix of China region A other than China region D for China region B; F21 is the final use matrix of China region D for China region B; F24 is the final use matrix of China region A other than China region D for China region B; Z31 is the intermediate use matrix of China region D for China region C; Z34 is the intermediate use matrix of China region A other than China region D for China region C; F31 is the final use matrix of China region D for China region C; F34 is the final use matrix of China region A other than China region D for China region C.

[0136] Adjust the import and export values ​​of each region in China Region A, China Region B, and China Region C:

[0137]

[0138] Among them, Im1_ is the import from abroad for intermediate use belonging to Chinese region D in Guangdong Province; Im4_ is the import from abroad for intermediate use in the remaining 304 Chinese regions except Chinese region D; Im5_ is the import from abroad for final use belonging to Chinese region D in Guangdong Province; Im8_ is the import from abroad for final use in the remaining 304 Chinese regions except Chinese region D; Im2_ is the import from abroad for intermediate use in Chinese region B; Im3_ is the import from abroad for intermediate use in Chinese region C; Im6_ is the import from abroad for final use in Chinese region B; Im7_ is the import from abroad for final use in Chinese region C; Ex1_ is the export of products belonging to Chinese region D in Guangdong Province to foreign countries; Ex4_ is the export of products from the remaining 304 Chinese regions except Chinese region D to foreign countries; Ex_HK _ is the export of products from Chinese region B to foreign countries; _ is the export of products from region C in China to foreign countries.

[0139] By stitching all the modules together and adjusting the order of the study areas in the form of coastal provinces (or cities) and non-coastal provinces (or cities), a standard MRIO table can be formed.

[0140] Step 4: Construct the bridge matrix:

[0141] Based on the known added value of the 13 marine industries in China's target regions, the added value of the 13 marine industries in China's target regions is allocated to each coastal city through downscaling based on the GDP ratio between coastal cities in China's target regions by assuming that (1) the ratio between the marine sector and its marine-related sectors in each coastal city is the same as that in China's target regions; and (2) only coastal cities have marine economies, while coastal inland cities do not.

[0142] Thirteen major marine industries that can achieve technological decomposition in China's target areas have been identified: marine fisheries, marine oil and gas, marine mining, marine salt, marine shipbuilding, marine chemical industry, marine biomedicine, marine engineering and construction, marine electric power, seawater utilization, marine transportation, coastal tourism, and marine scientific research, education, management and services.

[0143] The construction process of the bridge matrix is ​​as follows:

[0144]

[0145] Where C is the bridge matrix, is the sub-bridge matrix, i=1…k, is the number of coastal provinces (or cities), which in this embodiment is the number of cities in the target area of ​​China.

[0146] Among them, the sub-bridge matrix is:

[0147]

[0148] in, is the identity matrix, is the number of marine sectors, is the number of national economic sectors, and is the sub-bridge matrix C i In both cases, the corresponding forms are: is the proportion of the added value of the pth marine sector in the added value of the national economic sector to which it belongs, q is the serial number of the national economic sector to which the pth marine sector belongs, is the proportion of non-marine sector value added in the value added of national economic sector q;

[0149] for:

[0150]

[0151] Among them, p is the serial number of the ocean department, is the added value of the pth marine sector, is the value added of the qth national economic sector related to the pth marine sector.

[0152] Step 5: Calibrate the data to update the data.

[0153] Improve the accuracy of the MRIO tables and bridging matrices by updating the original database and refining underlying assumptions using the latest or calibrated MRIO tables, socio-economic statistics, and customs data.

[0154] Step 6: Split out the marine sector:

[0155] Using the value-added data of the marine sector and the national economic sector to which it belongs, the input-output information of the marine sector is split from the standard form of the MRIO table from the production side and the consumption side according to the bridge matrix.

[0156] Step 7: Balance the table.

[0157] The method of this embodiment is universal and is not only applicable to the compilation of the MMRIO table for the Guangdong-Hong Kong-Macao Greater Bay Area of ​​China, but is also applicable to situations where the input-output information of other domestic and foreign research regions comes from two or more MRIO tables.

[0158] Embodiment three:

[0159] like Figure 1 As shown, a system for compiling a high-precision multi-region marine economic input-output table is used to implement the method of any step in embodiments one to two, including: a data module, a matching module, a standardization module, a bridge matrix and a sub-bridge matrix construction module, a verification module, a splitting module and a balancing module;

[0160] The data module is used to collect the initial data of the study area and modularize it to obtain the database;

[0161] The matching module is used to obtain the initial MRIO table containing the research area according to the data in the database. If the input-output information of the research area is not in the same MRIO table, department matching is performed to build a department-consistent MRIO table. Otherwise, department matching is not performed.

[0162] The standardization module is used to adjust the order of regions in the MRIO table that is consistent with the department. If the input-output information of the research area is not in the same MRIO table, it is first processed modularly and re-modularized according to the standard structure of the multi-region input-output table. Then the order of regions is adjusted to obtain a standard MRIO table.

[0163] The bridge matrix and sub-bridge matrix construction module is used to construct the bridge matrix and sub-bridge matrix according to the proportion of the added value of the marine sector in each region in the added value of the national economic sector to which it belongs;

[0164] Verification module, used to verify and update the original bridge matrix and sub-bridge matrix according to the latest higher quality historical data provided by the marine department;

[0165] The splitting module is used to split the input-output information of the marine industry from the standard form of the MRIO table according to the bridge matrix to obtain the multi-regional marine economic input-output MMRIO table;

[0166] The balancing module is used to perform balancing processing and obtain a balanced MMRIO table.

[0167] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A method for compiling a high-precision multi-regional marine economic input-output table, characterized in that: include: Collect and modularize the initial data of the study area to obtain a database; Obtaining an initial MRIO table containing the study area according to the data in the database, and if the input-output information of the study area is not in the same MRIO table, performing department matching to construct a department-consistent MRIO table, otherwise, not performing department matching; Adjust the order of regions in the MRIO table that is consistent with the department. If the input-output information of the research area is not in the same MRIO table, first perform modular processing and re-modularize it according to the standard structure of the multi-region input-output table, and then adjust the order of regions to obtain the standard form of MRIO table; According to the added value share of marine industries in each region in its respective industries, a bridge matrix and a sub-bridge matrix are constructed; Verify and update the original bridge matrix and sub-bridge matrix based on the latest historical data provided by the marine department; According to the bridge matrix, the input-output information of the marine industry is separated from the standard form of the MRIO table to obtain a multi-regional marine economic input-output MMRIO table; The multi-regional marine economic input-output MMRIO table is balanced to obtain a balanced multi-regional marine economic input-output MMRIO table.

2. The method for compiling a high-precision multi-regional marine economic input-output table according to claim 1 is characterized in that: Collecting the initial data of the research area and modularizing it includes: collecting initial data including input-output tables, customs data, marine industry economic data, and macroeconomic data, and storing the initial data in the database according to a preset format.

3. The method for compiling a high-precision multi-regional marine economic input-output table according to claim 1 is characterized in that: Department matching includes: splitting, merging and reorganizing department data through the production end and the consumption end in turn, and mapping the department data to a unified benchmark department.

4. The method for compiling a high-precision multi-regional marine economic input-output table according to claim 1 is characterized in that: Obtaining the standard form MRIO includes: If the input-output information of the study area is in the same MRIO table, the data in the department-consistent MRIO table will be adjusted according to the order of coastal areas and non-coastal areas. If the input-output information of the study area is not in the same MRIO table, the department-consistent MRIO table will be modularized according to its components, and the customs data and the global multi-regional input-output table will be used to estimate the trade volume between the missing regions. Then, modular splicing will be performed according to the standard structure of the MRIO table to construct a complete MRIO table including all the study areas. Then, the study areas in the complete MRIO table will be sorted according to coastal areas and non-coastal areas to form the standard form of the MRIO table.

5. The method for compiling a high-precision multi-regional marine economic input-output table according to claim 1 is characterized in that: The bridge matrix includes: = ； Where C is the bridge matrix, is the sub-bridge matrix, i=1…k, is the number of study areas in the standardized MRIO table; Among them, the sub-bridge matrix is: ； in, is the identity matrix, is the number of marine sectors, is the number of national economic sectors, and is the sub-bridge matrix C i In both cases, the corresponding forms are: is the proportion of the added value of the pth marine sector in the added value of the national economic sector to which it belongs, q is the serial number of the national economic sector to which the pth marine sector belongs, is the proportion of non-marine sector value added in the value added of national economic sector q; for: ； Among them, p is the serial number of the ocean department, is the added value of the pth marine sector, is the value added of the qth national economic sector related to the pth marine sector.

6. The method for compiling a high-precision multi-regional marine economic input-output table according to claim 1 is characterized in that: The input and output information of the marine industry is separated from the standard form of the MRIO table, including: Using the added value data of the marine industry and the national economic sectors in each region, the input-output information of the marine sector is separated from the standard MRIO table from the production side and the consumption side according to the bridge matrix, the method is as follows: ； ； ； ； ； in, is the bridge matrix, is the transpose of the bridge matrix, For the intermediate matrix after splitting, For the intermediate use matrix before splitting, is the final usage matrix after splitting, is the final matrix before splitting, is the export matrix after splitting, is the export matrix before splitting, is the added value matrix after splitting, is the added value matrix before splitting, is the split import matrix, is the import matrix before splitting; The split intermediate use matrix, final use matrix, export matrix, import matrix and value-added matrix are spliced ​​according to the structure of the standard MRIO table to form the multi-regional marine economic input-output MMRIO table.

7. The method for compiling a high-precision multi-regional marine economic input-output table according to claim 1 is characterized in that: The separation of marine industry input and output information from the standard form of the MRIO table also includes: The standard form MRIO table and the bridge matrix are divided into blocks, the sub-bridge matrices of each region are extracted, and the input-output information of the marine department of each region is separated from the standard form MRIO table by: ； ； ； ； ； in, is the sub-bridge matrix of region a on the production side, is the transpose of the sub-bridge matrix of region b on the consumer side, is a modular intermediate matrix, For modularity the final use matrix is, is a modular export matrix, Adding value to the modularity matrix, For modular import matrices, For the modular intermediate use matrix after the marine sector is split out, To create a modular export matrix after the marine sector is separated, To decouple the marine sector from the modular end-use matrix, For the modular value added matrix after the marine sector is separated, A modular import matrix after the marine sector is separated; The modular intermediate use matrix, final use matrix, export matrix, import matrix and value-added matrix after the marine sector is split out are spliced ​​according to the structure of the standard form of the MRIO table to form the multi-regional marine economic input-output MMRIO table.

8. The method for compiling a high-precision multi-regional marine economic input-output table according to claim 1 is characterized in that: The balanced multi-regional marine economic input-output MRIO table includes: The double-ratio scaling method RAS or the cross-entropy method CE is used to level the spliced ​​multi-regional marine economic input-output MMRIO table to obtain a balanced multi-regional marine economic input-output MMRIO table.

9. A system for compiling a high-precision multi-regional marine economic input-output table for implementing the method described in any one of claims 1 to 8, characterized in that: include: Data module, matching module, standardization module, bridge matrix and sub-bridge matrix construction module, verification module, splitting module and balancing module; The data module is used to collect initial data of the research area and modularize it to obtain a database; The matching module is used to obtain an initial MRIO table containing the research area according to the data in the database. If the input-output information of the research area is not in the same MRIO table, department matching is performed to construct a department-consistent MRIO table. Otherwise, department matching is not performed. The standardization module is used to adjust the order of regions in the MRIO table consistent with the department. If the input-output information of the research area is not in the same MRIO table, modular processing is first performed, and modular splicing is re-performed according to the standard structure of the multi-region input-output table, and then the order of regions is adjusted to obtain the MRIO table in a standard form; The bridge matrix and sub-bridge matrix construction module is used to construct the bridge matrix and sub-bridge matrix according to the added value proportion of the marine industry in each region in the industry to which it belongs; The verification module is used to verify and update the original bridge matrix and sub-bridge matrix according to the latest historical data provided by the marine department; The splitting module is used to split the input-output information of the marine industry from the standard MRIO table according to the bridge matrix to obtain the multi-regional marine economic input-output MMRIO table; The balancing module is used to balance the multi-regional marine economic input-output MMRIO table to obtain a balanced multi-regional marine economic input-output MMRIO table.

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