Apparatus and method for analyzing employment status by using employment indexes for each region and business type

Abstract

An apparatus for analyzing an employment status by using employment indexes for each region and business type comprises: an index definition unit which defines employment indexes related to an employment indicator for each region and business type; a regional correlation analysis unit which generates a plurality of region-specific indexes by using an index combination formula based on the employment indexes for each region, and compares correlations between the plurality of region-specific indexes and actual economic indicators to determine a first ranking of the plurality of region-specific indexes; a business type correlation analysis unit which generates a plurality of business type-specific indexes as a result of summing the employment indexes for each business type, and compares correlations between the plurality of business type-specific indexes and an all-industry production index to determine a second ranking of the plurality of business type-specific indexes; and an employment status analysis unit which generates employment status information for each business type of a specific region as a result of integrating at least one region-specific index according to the first ranking and at least one business type-specific index according to the second ranking.

Description

Device and method for analyzing employment status using regional and industry-specific employment indices

[0001] The present invention relates to an employment status analysis device, and more specifically, to an employment status analysis device and method using regional and industry-specific employment indices that can create employment status information by industry in a specific region by defining employment indices for employment indicators by region and industry and creating multiple regional and industry-specific indices.

[0002]

[0003] Recently, as industries have become more sophisticated, diverse jobs have been created. Since these job creations are directly linked to the national and individual economies, the government, public institutions, and financial institutions are evaluating and comparatively analyzing regional industrial competitiveness based on employment trend data and implementing policies and projects to promote industrial convergence, such as supporting R&D projects.

[0004] Since these policies and projects are operated based on employment information such as the employment status or job creation of companies, the accuracy and reliability of the employment information collected or provided are important. However, in general, companies' employment information is used internally for a limited purpose necessary for business operations, and most companies voluntarily choose to disclose employment information externally. In addition, the content of the information disclosed is mostly limited to promotional content that can contribute to improving the company's image.

[0005] Furthermore, there is a need for objective evaluation criteria for evaluating policies and projects aimed at activating industrial convergence, as well as for systematic employment indicators that can assess the degree of competitiveness in response to technological changes that are evolving as a result of recent continuous technological and industrial convergence. However, there is still virtually no research on services that collect and provide employment information by company.

[0006] Accordingly, there is a need for an advanced industrial index that takes into account economic and social aspects, and for a method to evaluate the index of various industrial items, such as services and content, as well as products.

[0007]

[0008] [Prior Art Literature]

[0009] [Patent Document]

[0010] Korean Patent Publication No. 10-2015-0189320 (December 30, 2015)

[0011]

[0012] One embodiment of the present invention provides an employment status analysis device and method using regional and industry-specific employment indices that can define employment indices by region and industry.

[0013] One embodiment of the present invention provides an apparatus and method for analyzing employment status using regional and industry-specific employment indices, which can generate regional indices using an index combination formula for regional employment indices and compare correlations between multiple regional indices and real economic indicators.

[0014] One embodiment of the present invention provides an employment status analysis device and method using regional and industry-specific employment indices, which can generate multiple industry-specific indices by adding up industry-specific employment indices and compare correlations between the multiple industry-specific indices and the overall industrial production index.

[0015] One embodiment of the present invention provides an employment status analysis device and method using regional and industry-specific employment indices, which can generate industry-specific employment status information for a specific region by determining a first rank for a plurality of regional indices and determining and integrating a second rank for a plurality of industry-specific indices.

[0016]

[0017] According to one embodiment of the present invention, an employment status analysis device using regional and industry-specific employment indices includes: an index definition unit defining employment indices for employment indices by region and industry; a regional correlation analysis unit generating a plurality of regional indices using an index combination formula for regional employment indices, comparing correlations between the plurality of regional indices and real economic indicators to determine a first ranking for the plurality of regional indices; an industry correlation analysis unit generating a plurality of industry-specific indices as a result of summing the industry-specific employment indices, comparing correlations between the plurality of industry-specific indices and a total industrial production index to determine a second ranking for the plurality of industry-specific indices; and an employment status analysis unit generating industry-specific employment status information for a specific region as a result of integrating at least one regional index according to the first ranking and at least one industry-specific index according to the second ranking.

[0018] The above index definition section can define the index name and index formula of each of the employment indices by region and industry.

[0019] The above regional correlation analysis unit can determine the ranking of the multiple regional indices by aggregating the rankings for all real economic indicators based on each of the multiple regional indices.

[0020] The above regional correlation analysis unit can determine the ranking of the multiple regional indices by assigning weights to each rank and reflecting the number of times each rank is ranked.

[0021] The above industry correlation analysis unit can standardize the above multiple industry-specific indices and then compare the correlation with the above overall industry production index.

[0022] The above industry correlation analysis unit can compare the monthly correlation between the above multiple industry-specific indices and the above overall industrial production index, or compare the annual correlation between the above multiple industry-specific indices and the regional gross domestic product by economic activity.

[0023] The above industry correlation analysis department

[0024] An industry-specific index formula for the sum of the above industry-specific employment indices can be defined, and a second ranking for the above multiple industry-specific indices can be determined based on the average number of combinations of the industry-specific employment indices that constitute the above industry-specific index formula.

[0025] In one embodiment, a method for analyzing employment status using regional and industry-specific employment indices may include the steps of: defining employment indices for employment indices by region and industry through an index definition unit; generating a plurality of regional indices using an index combination formula for regional employment indices through a regional correlation analysis unit, comparing correlations between the plurality of regional indices and real economic indicators to determine a first ranking for the plurality of regional indices; generating a plurality of industry-specific indices as a result of summing the industry-specific employment indices through an industry correlation analysis unit, comparing correlations between the plurality of industry-specific indices and a total industrial production index to determine a second ranking for the plurality of industry-specific indices; and generating industry-specific employment status information for a specific region as a result of integrating at least one regional index according to the first ranking and at least one industry-specific index according to the second ranking through an employment status analysis unit.

[0026]

[0027] The disclosed technology may have the following effects. However, this does not mean that a particular embodiment must include all or only the following effects, and therefore the scope of the disclosed technology should not be construed as being limited thereby.

[0028] An employment status analysis device and method using regional and industry-specific employment indices according to one embodiment of the present invention can define employment indices for the employment indices by region and industry.

[0029] An employment status analysis device and method using regional and industry-specific employment indices according to one embodiment of the present invention can generate regional indices using an index combination formula for regional employment indices and compare correlations between multiple regional indices and real economic indicators.

[0030] An employment status analysis device and method using regional and industry-specific employment indices according to one embodiment of the present invention can generate multiple industry-specific indices by adding up industry-specific employment indices and compare the correlation between the multiple industry-specific indices and the overall industrial production index.

[0031] An employment status analysis device and method using regional and industry-specific employment indices according to one embodiment of the present invention can generate industry-specific employment status information of a specific region by determining a first rank for a plurality of regional indices and determining and integrating a second rank for a plurality of industry-specific indices.

[0032]

[0033] FIG. 1 is a diagram illustrating an employment status analysis system according to one embodiment of the present invention.

[0034] Figure 2 is a drawing explaining the configuration of the employment status analysis system in Figure 1.

[0035] Figure 3 is a drawing explaining the configuration of the employment status analysis device of Figure 1.

[0036] Figure 4 is a flowchart explaining the functional configuration of the employment status analysis device of Figure 1.

[0037]

[0038] The description of the present invention is merely an example for structural and functional explanation, and therefore, the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, since the embodiments can be modified in various ways and can take various forms, the scope of the present invention should be understood to include equivalents that can realize the technical idea. In addition, the purposes or effects presented in the present invention do not mean that a specific embodiment must include all of them or only such effects, and therefore, the scope of the present invention should not be construed as being limited thereby.

[0039] Meanwhile, the meaning of the terms described in this application should be understood as follows.

[0040] Terms such as "first" and "second" are intended to distinguish one component from another, and the scope of the rights should not be limited by these terms. For example, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.

[0041] When a component is said to be "connected" to another component, it should be understood that while it may be directly connected to that other component, there may also be other components intervening. Conversely, when a component is said to be "directly connected" to another component, it should be understood that there are no other intervening components. Similarly, other expressions describing relationships between components, such as "between" and "directly between," or "adjacent to" and "directly adjacent to," should be interpreted similarly.

[0042] Singular expressions should be understood to include plural expressions unless the context clearly indicates otherwise, and terms such as "comprises" or "have" should be understood to specify the presence of a feature, number, step, operation, component, part or combination thereof, but not to exclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts or combinations thereof.

[0043] For each step, the identifiers (e.g., a, b, c, etc.) are used for convenience of explanation and do not describe the order of the steps. The steps may occur in a different order than stated unless the context clearly dictates a specific order. That is, the steps may occur in the same order as stated, may be performed substantially simultaneously, or may be performed in the opposite order.

[0044] The present invention can be implemented as computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices that store data that can be read by a computer system. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. Furthermore, the computer-readable recording medium can be distributed across network-connected computer systems, so that the computer-readable code can be stored and executed in a distributed manner.

[0045] Unless otherwise defined, all terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted to be consistent with their meaning within the context of the relevant technology, and should not be interpreted as having an idealized or overly formal meaning unless explicitly defined herein.

[0046]

[0047] FIG. 1 is a diagram illustrating an employment status analysis system according to one embodiment of the present invention.

[0048] Referring to FIG. 1, the employment status analysis system (100) may include a user terminal (110), an employment status analysis device (130), and a database (150).

[0049] A user terminal (110) may correspond to a terminal device operated by a user. According to one embodiment of the present invention, one or more users may correspond to one or more, and in the case of multiple users, they may be designated and distinguished into one or more user groups. Each of one or more users may correspond to one or more user terminals (110), and for example, a user may correspond to a person (i.e., a modeler) who requests data collection regarding employment indices and performs data modeling. Here, the employment index may correspond to an employment-related index including an employment status index, an unemployment index, an employment insurance new applicant index, an employment insurance insured person index, an employment insurance insured person increase / decrease rate in the number of employment insurance insured persons, etc. In addition, although FIG. 1 is expressed as one user terminal (110), a first user may correspond to a first user terminal, a second user may correspond to a second user terminal, …, an n-th user (where n is a natural number) may correspond to an n-th user terminal, respectively.

[0050] In one embodiment, the user terminal (110) may be a computing device operated by a user as a device constituting the employment status analysis system (100). Here, the user may include a business or institution that performs employment status analysis and employment-related data analysis.

[0051] In one embodiment, the user terminal (110) may request employment status information from the employment status analysis device (130) or provide regional employment indices and industry-specific employment indices. Here, the employment status information may correspond to data that captures the overall employment status for a region and industry. Further details regarding the employment status information are described below in FIG. 3. Additionally, the user terminal (110) may install and execute a dedicated program or application to interface with the employment status analysis device (130).

[0052] The employment status analysis device (130) may be implemented as a server corresponding to a computer or program that performs an employment status analysis service using regional and industry-specific employment indices according to the present invention. Furthermore, the employment status analysis device (130) may be connected to a user terminal (110) via a wired network or a wireless network such as Bluetooth, WiFi, or LTE, and may transmit and receive data with the user terminal (110) via the network.

[0053] In addition, the employment status analysis device (130) can provide an employment status analysis service using regional and industry-specific employment indices according to the present invention to a user terminal (110) through its own platform. For example, the employment status analysis device (130) can provide an employment status analysis platform that provides visualized modeling of employment status analysis, and for this purpose, it can be implemented to operate by being connected to an independent external system (not shown in FIG. 1).

[0054] The database (150) may correspond to a storage device that stores various pieces of information required during the operation of the employment status analysis device (130). For example, the database (150) may store documents containing information collected or processed in various forms from a user terminal (110) or a website such as Google during the process of performing employment status analysis.

[0055] In addition, in FIG. 1, the database (150) is depicted as a device independent of the employment status analysis device (130), but is not necessarily limited thereto, and may be implemented as a logical storage device included in the employment status analysis device (130) using regional and industry-specific employment indices.

[0056]

[0057] Figure 2 is a drawing explaining the configuration of the employment status analysis system in Figure 1.

[0058] Referring to FIG. 2, the employment status analysis device (130) may include a processor (210), memory (230), user input / output unit (250), and network input / output unit (270).

[0059] The processor (210) can execute an employment status analysis service procedure using regional and industry-specific employment indices according to an embodiment of the present invention, manage a memory (230) that is read or written in this process, and schedule a synchronization time between volatile memory and non-volatile memory in the memory (230). The processor (210) can control the overall operation of the employment status analysis device (130), and is electrically connected to the memory (230), the user input / output unit (250), and the network input / output unit (270) to control the data flow therebetween. The processor (210) can be implemented as a CPU (Central Processing Unit) of the employment status analysis device (130).

[0060] The memory (230) may include an auxiliary memory device implemented with a non-volatile memory such as an SSD (Solid State Disk) or an HDD (Hard Disk Drive) and used to store all data required for the employment status analysis device (130), and may include a main memory device implemented with a volatile memory such as a RAM (Random Access Memory). In addition, the memory (230) may store a set of commands for executing an employment status analysis service using regional and industry-specific employment indices according to the present invention by being executed by an electrically connected processor (210).

[0061] The user input / output unit (250) includes an environment for receiving user input and an environment for outputting specific information to the user, and may include, for example, an input device including an adapter such as a touchpad, a touchscreen, a virtual keyboard, or a pointing device, and an output device including an adapter such as a monitor or a touchscreen. In one embodiment, the user input / output unit (250) may correspond to a computing device connected via remote access, and in such a case, the employment status analysis device (130) may be performed as an independent server.

[0062] The network input / output unit (270) provides a communication environment for connecting to a user terminal (110) via a network, and may include, for example, an adapter for communication such as a Local Area Network (LAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), and a Value Added Network (VAN). In addition, the network input / output unit (270) may be implemented to provide a short-range communication function such as WiFi or Bluetooth, or a wireless communication function of 4G or higher for wireless transmission of data.

[0063]

[0064] Figure 3 is a drawing explaining the configuration of the employment status analysis device of Figure 1.

[0065] Referring to FIG. 3, the employment status analysis device (130) may include an index definition unit (310), a regional correlation analysis unit (330), an industry correlation analysis unit (350), an employment status analysis unit (370), and a control unit (390).

[0066] Here, the employment status analysis device (130) does not need to include all of the above functional components simultaneously. Depending on each embodiment, some of the above components may be omitted, or some or all of the above components may be selectively included. Furthermore, the employment status analysis device (130) may be implemented as an independent module that selectively includes some of the above components, and the employment status analysis platform method according to the present invention may be performed through linkage between each module. The operation of each component will be described in detail below.

[0067]

[0068] The index definition unit (310) can define employment indices related to employment indicators by region and industry. Here, the employment indicator may correspond to employment-related indicators such as the employment status index, the unemployment index, the employment insurance new applicant index, the employment insurance insured index, and the number of employment insurance insured persons, and is not necessarily limited thereto, and may include indicators defined in international standards recommended by the International Labour Organization (ILO). In addition, the employment index may correspond to an index generated by combining at least one or more employment-related indicators, and is not necessarily limited thereto, and may further include formulas that can express economic indicators such as per capita regional gross domestic product, per capita regional gross income, per capita personal income, and per capita private consumption. In one embodiment, the index definition unit (310) may receive data on employment indicators from the user terminal (110), classify the data by region and industry, and store the data in the database (150). For example, the index definition unit (310) may collect data related to employment indices from various websites, such as the Ministry of Employment and Labor, and store them in a database (150). The index definition unit (310) is not necessarily limited thereto, and may utilize the employment indices by collecting them from an external website (e.g., the National Pension Service) through a user terminal (110) and storing them in a database (150).

[0069] In one embodiment, the index definition unit (310) may define the index name and index formula for each employment index by region and industry. More specifically, the index definition unit (310) may define the regional employment index as follows.

[0070]

[0071] [Table 1]

[0072]

[0073]

[0074] Here, is the number of employees in the area at time t, is the number of unemployed people in the area at time t. In addition, is the number of new employment insurance subscribers in the region at time t, is the number of insured persons in the area at time t. may correspond to the average number of insured persons in the region over the past year as of time t. Furthermore, EM_ROC may correspond to the rate of increase or decrease calculated based on the average number of insured persons over the past year and the average number of insured persons over the preceding three years. may correspond to the number of workers in industry i in region r, may correspond to the total number of employees in region r.

[0075]

[0076] In addition, the index definition section (310) can define the industry employment index as follows.

[0077]

[0078] [Table 2]

[0079]

[0080]

[0081] Here, is the number of employees in the industry at time t, is the number of unemployed people in the industry at time t. In addition, is the number of new employment insurance subscribers in the industry at time t, is the number of insured persons in the relevant industry at time t. may correspond to the average number of insured persons in the industry for one year as of time t. In addition, EM_ROC may correspond to the rate of increase or decrease calculated based on the average number of insured persons for one year and the average number of insured persons for the previous three years. may correspond to the number of employees in region r of industry i, may correspond to the total number of employees in industry i. Here, in the process of defining the regional employment index and industry employment index in the index definition unit (310), new regional employment index and industry employment index can be created through input from the user terminal (110) or a combination of each employment index, without being limited to the regional employment index and industry employment index.

[0082] The regional correlation analysis unit (330) can generate multiple regional indices using index combination formulas for regional employment indices, and compare the correlations between the multiple regional indices and real economic indicators to determine a first ranking for the multiple regional indices. Here, the index combination formula may correspond to a combination based on the four basic arithmetic operations for each employment indices, and is not necessarily limited thereto, and may correspond to a formula generated through a combination of one or more employment indices. The regional correlation analysis unit (330) can generate multiple index combination formulas for regional employment indices, and perform a comparative analysis of each index combination formula with real economic indicators. Here, the real economic indicators may correspond to real economic indicators such as per capita regional gross domestic product and per capita regional gross income, and is not necessarily limited thereto, and may further include real economic indicators such as interest rates, exchange rates, exports and imports, and trade balance. In one embodiment, the regional correlation analysis unit (330) can compare the correlations between each regional index and real economic indicators and determine a ranking of the regional indices. Here, the regional correlation analysis unit (330) can determine the priority for each regional index by differentially assigning scores to each regional index according to the regional index ranking.

[0083] In one embodiment, the regional correlation analysis unit (330) may determine the rankings of multiple regional indices by aggregating the rankings of all real economic indicators based on each of the multiple regional indices. That is, the regional correlation analysis unit (330) may perform a comparative analysis of each regional index with real economic indicators and determine the rankings by adding up the respective rankings. For example, the regional correlation analysis unit (330) may perform a comparative analysis of a specific regional index with real economic indicators and classify the index into a first-ranked index, a second-ranked index, and a third-ranked or lower index. Here, the regional correlation analysis unit (330) may determine the rankings of each regional index by assigning scores to the first-ranked index, the second-ranked index, and the third-ranked or lower index and adding them up.

[0084] In one embodiment, the regional correlation analysis unit (330) may determine the ranking of multiple regional indices by assigning weights to each rank and reflecting the number of times each rank is ranked. Here, the regional correlation analysis unit (330) may count the number of times indices ranked 1st, 2nd, 3rd, or lower in the regional index during the analysis process between a specific regional index and real economic indicators. In one embodiment, the regional correlation analysis unit (330) may count the rankings of each indicator for all regional indices and display them on the user terminal (110). Here, the regional correlation analysis unit (330) may sort the regional indices by each indicator according to the input of the user terminal (110). In one embodiment, the regional correlation analysis unit (330) may analyze the scores of each regional index and select the regional index with the highest score as the first rank to perform analysis preferentially.

[0085] The industry correlation analysis unit (350) can generate multiple industry-specific indices as a result of the aggregation of industry-specific employment indices, and compare the correlations between the multiple industry-specific indices and the overall industry production index to determine a secondary ranking for the multiple industry-specific indices. Here, the industry-specific employment indices may correspond to the employment indices for the five major industrial groups (agriculture, forestry and fisheries, mining, manufacturing, construction, service, and public administration) of the Korean Standard Industrial Classification, but is not necessarily limited thereto, and may correspond to the 19 major classifications (agriculture, mining, manufacturing, electricity, construction, etc.) of the Korean Standard Industrial Classification. In addition, the industry-specific indices may correspond to data that integrates employment indices for each industry. The overall industry production index may correspond to an index that synthesizes production activities of industries defined in the Korean Standard Industrial Classification, but is not necessarily limited thereto, and may correspond to data that is expressed as an index to identify short-term trends in overall industrial production activities. In one embodiment, the industry correlation analysis unit (350) may compare correlations between each industry-specific index and determine an industry-specific index ranking for each industry-specific index. Here, the industry correlation analysis unit (350) may determine the priority of each industry-specific index by differentially assigning scores to each industry-specific index based on its industry-specific index ranking.

[0086] In one embodiment, the industry correlation analysis unit (350) may standardize multiple industry-specific indices and then compare their correlations with the overall industrial production index. Here, standardization may involve assigning scores to each industry-specific indices to enable direct comparison, but is not necessarily limited thereto. It may also involve performing a standard deviation process for each industry-specific indices. In one embodiment, the industry correlation analysis unit (350) may determine the ranking of each industry-specific indices by standardizing each industry-specific indices and comparing their correlations with the overall industrial production index.

[0087] In one embodiment, the industry correlation analysis unit (350) may compare the monthly correlation between multiple industry-specific indices and the overall industrial production index, or may compare the annual correlation between multiple industry-specific indices and the GDP by economic activity. Here, the GDP by economic activity may correspond to production, distribution, and expenditure data for the regional economy, and is not necessarily limited thereto, and may correspond to a comprehensive indicator for understanding the state of the regional economy. The industry correlation analysis unit (350) may generate monthly or yearly data for the industry-specific indices and provide the data to the user terminal (110).

[0088] In one embodiment, the industry correlation analysis unit (350) may define an industry-specific index formula for summing industry-specific employment indices and determine a second ranking for multiple industry-specific indices based on the average number of combinations of the industry-specific employment indices that constitute the industry-specific index formula. Here, the industry-specific index formula may correspond to a combination formula that combines one or more industry-specific indices. In addition, the average number of combinations may correspond to data that standardizes each industry-specific index, and is not necessarily limited thereto, and may correspond to a numerical representation of the average number of times each industry-specific index is used. For example, the industry correlation analysis unit (350) may generate an industry-specific index formula composed of a company revenue index (COM_LQ), an industry diversity index (IDI), and an industry-within-region location index (ILQ), and may assign a score to the industry-specific index formula by summing the standardized values ​​for each industry-specific index. Here, the industry correlation analysis unit (350) may select the industry-specific index with the highest score based on the industry-specific index formula and determine it as the second ranking.

[0089] The employment status analysis unit (370) can generate industry-specific employment status information for a specific region as a result of integrating at least one regional index according to the first priority and at least one industry-specific index according to the second priority. Here, the industry-specific employment status information may correspond to data analyzing the overall employment trend for a region and industry generated based on the regional index corresponding to the first priority and the industry-specific index corresponding to the second priority. In one embodiment, the employment status analysis unit (370) can visually display employment status information for each region through the user terminal (110) based on the industry-specific employment status information. Here, the employment status analysis unit (370) can display employment status information for each region based on the input of the user terminal (110).

[0090] The control unit (390) controls the overall operation of the employment status analysis device (130) and can manage the control flow or data flow between the index definition unit (310), the regional correlation analysis unit (330), the industry correlation analysis unit (350), and the employment status analysis unit (370).

[0091]

[0092] Figure 4 is a flowchart explaining the functional configuration of the employment status analysis device of Figure 1.

[0093] Referring to FIG. 4, the employment status analysis device (130) can be implemented to execute an employment status analysis service using regional and industry-specific employment indices according to the present invention.

[0094] Employment indices for employment indicators are defined by region and industry through the index definition unit (310) (step S410). Multiple regional indices are generated using an index combination formula for regional employment indices through the regional correlation analysis unit (330), and the first ranking for the multiple regional indices is determined by comparing the correlations between the multiple regional indices and real economic indicators (step S430). Multiple industry-specific indices are generated as a result of the sum of the industry-specific employment indices through the industry correlation analysis unit (350), and the second ranking for the multiple industry-specific indices is determined by comparing the correlations between the multiple industry-specific indices and the overall industrial production index (step S450). Through the employment status analysis unit (370), information on the employment status for a specific region is generated as a result of integrating at least one regional index according to the first ranking and at least one industry-specific index according to the second ranking (step S470).

[0095]

[0096] Although the present invention has been described above with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various modifications and changes may be made to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below.

[0097]

[0098] [Explanation of symbols]

[0099] 100: Employment Status Analysis System

[0100] 110: User terminal

[0101] 130: Employment Status Analysis Device

[0102] 150: Database

[0103] 310: Index Definition Section

[0104] 330: Regional Correlation Analysis Department

[0105] 350: Industry Correlation Analysis Department

[0106] 370: Employment Status Analysis Department

[0107] 390: Control Unit

Claims

1. Index definition section that defines employment indices by region and industry; A regional correlation analysis unit that generates multiple regional indices using an index combination formula for regional employment indices, compares correlations between the multiple regional indices and real economic indicators, and determines a first ranking for the multiple regional indices; An industry correlation analysis unit that generates multiple industry-specific indices as a result of the sum of the above industry-specific employment indices, compares the correlation between the multiple industry-specific indices and the overall industrial production index, and determines the second ranking for the multiple industry-specific indices; and An employment status analysis device using regional and industry-specific employment indices, comprising an employment status analysis unit that generates industry-specific employment status information in a specific region as a result of integrating at least one regional index according to the first priority and at least one industry-specific index according to the second priority.

2. In paragraph 1, the index definition part An employment status analysis device using regional and industry-specific employment indices, characterized in that the index name and index formula of each of the above employment indices are defined by region and industry.

3. In paragraph 1, the regional correlation analysis unit An employment status analysis device using regional and industry-specific employment indices, characterized in that the rankings for all real economic indicators are aggregated based on each of the plurality of regional indices, and the rankings for the plurality of regional indices are determined.

4. In the third paragraph, the regional correlation analysis unit An employment status analysis device using regional and industry-specific employment indices, characterized in that the rankings for the above multiple regional indices are determined by assigning weights to each rank and reflecting the number of times each rank is ranked.

5. In paragraph 1, the industry correlation analysis section An employment status analysis device using regional and industry-specific employment indices, characterized by standardizing the above multiple industry-specific indices and then comparing the correlation with the above overall industrial production index.

6. In paragraph 1, the industry correlation analysis section An employment status analysis device using regional and industry-specific employment indices, characterized by comparing the monthly correlation between the above multiple industry-specific indices and the above total industry production index, or by comparing the annual correlation between the above multiple industry-specific indices and the regional gross domestic product by economic activity.

7. In paragraph 1, the industry correlation analysis section An employment status analysis device using regional and industry-specific employment indices, characterized in that it defines an industry-specific index formula for the sum of the above industry-specific employment indices and determines a second ranking for the above multiple industry-specific indices based on the average number of combinations of the industry-specific employment indices that constitute the above industry-specific index formula.

8. In the employment status analysis method performed in the employment status analysis device, Through the index definition section, the step of defining employment indices by region and industry for the employment index; A step of generating multiple regional indices using an index combination formula for regional employment indices through a regional correlation analysis unit, comparing correlations between the multiple regional indices and real economic indicators, and determining a first ranking for the multiple regional indices; A step of generating multiple industry-specific indices as a result of the sum of the industry-specific employment indices through the industry correlation analysis section, comparing the correlation between the multiple industry-specific indices and the overall industry production index, and determining the second ranking for the multiple industry-specific indices; and A method for analyzing employment status using regional and industry-specific employment indices, comprising: a step of generating industry-specific employment status information of a specific region as a result of integrating at least one regional index according to the first priority and at least one industry-specific index according to the second priority through an employment status analysis unit;

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