Device for generating organizational activity indicators, method for generating organizational activity indicators, and program for generating organizational activity indicators

The device and method generate organizational activity indicators to facilitate understanding and improvement of decarbonization and disaster response activities, addressing the lack of clear indicators for non-experts by offering comparative displays and policy suggestions.

JP2026092490APending Publication Date: 2026-06-05NGK CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
NGK CORP
Filing Date
2024-11-26
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

There is a lack of clear and understandable indicators for decision-making in the implementation of renewable energy systems, making it difficult for non-experts to assess an organization's decarbonization and disaster response activities effectively.

Method used

A device and method for generating organizational activity indicators, including decarbonization and regional happiness indicators, with display capabilities to compare an organization's status with others, and a clustering mechanism to facilitate understanding and policy suggestion based on historical data.

Benefits of technology

Enables easy understanding of an organization's decarbonization and disaster response activities by non-experts, providing comparative displays and policy suggestions to improve these activities.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a device for generating organizational activity indicators that can easily display the current status of decarbonization activities and disaster response activities in an easily understandable manner. [Solution] The municipal attribute clustering module 2110 divides organizations into clusters based on the attribute information of the target organization and the attribute information of other organizations, and determines which cluster the target organization belongs to. The decarbonization index calculation module 2120 calculates a decarbonization initiative index according to the achievement status of several first components that constitute the decarbonization activities of the target organization. The power outage countermeasure index calculation module 2130 calculates a regional happiness index according to the achievement status of several second components related to regional happiness. The similar municipal comparison module 2140 generates display information that shows the current status of the target organization in a manner that allows comparison with other organizations, using the decarbonization initiative index as the first axis and the regional happiness index as the second axis.
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Description

[Technical Field]

[0001] The present invention relates to an apparatus for generating organizational activity indicators, a method for generating organizational activity indicators, and a program for generating organizational activity indicators. [Background technology]

[0002] Patent Document 1 discloses an information processing device for appropriately estimating the effectiveness of policies implemented by administrative agencies. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-854 [Overview of the Initiative] [Problems that the invention aims to solve]

[0004] However, when considering the introduction of systems for the effective use of renewable energy and other sources, it is unclear what objective "indicators" should be used to support the decision-making process for system implementation.

[0005] The present invention was made to solve the above-mentioned problems, and aims to provide a device for generating organizational activity indicators, a method for generating organizational activity indicators, and a program for generating organizational activity indicators that can display the current status of an organization's decarbonization activities and disaster response activities in a way that is easily understandable to non-experts. [Means for solving the problem]

[0006] (Item 1) According to one aspect of this invention, the organizational activity indicator generating device comprises: a decarbonization indicator calculation means for calculating a decarbonization effort indicator according to the achievement status of a plurality of first components constituting the decarbonization activities of a target organization; a regional happiness indicator calculation means for calculating a regional happiness indicator according to the achievement status of a plurality of second components related to regional happiness of the target organization; and a display information generation means for generating display information that displays the current status of the target organization in a manner that allows comparison with other organizations, with the decarbonization effort indicator as the first axis and regional happiness as the second axis.

[0007] (Item 2) Preferably, in the configuration of item 1, the organizational activity indicator generation device includes a disaster response indicator as the regional well-being indicator.

[0008] (Item 3) Preferably, the organizational activity indicator generation device includes, in addition to the configuration of item 1 or item 2, a clustering means that divides the organization into clusters based on the attribute information of the target organization and the attribute information of other organizations, and determines which cluster the target organization belongs to, and the display information generation means generates comparative display information that compares the current status of the target organization with the current status of other organizations in the cluster to which the target organization belongs.

[0009] (Item 4) Preferably, the organizational activity indicator generation device further includes, in addition to the configuration of item 3, a target value setting means for setting target values ​​from the current state of the target organization by referring to a screen displaying comparative display information.

[0010] (Item 5) Preferably, the organizational activity indicator generation device includes, in addition to the configuration of item 4, a policy candidate search means that searches for policy candidates from the current state to the target value of the target organization, taking into account the historical information of policies of other organizations, and a policy candidate presentation means that presents the searched policy candidates to the user. To further prepare.

[0011] (Item 6) Preferably, in the configuration of item 5, the policy candidate presenting means presents the policy candidates in the order of the magnitude of the effect of the policy or the order of the magnitude of the cost of the policy according to the user's selection.

[0012] (Item 7) Preferably, in the configuration of item 1 or item 2, the decarbonization effort index is calculated by multiplying the achievement status of each of the plurality of first components by a weight coefficient. The decarbonization index calculation means updates the weight coefficient in response to the update of the history information of the policies of other organizations.

[0013] (Item 8) Preferably, in the configuration of item 5, the policy candidate presenting means sets the priorities of the policies for decarbonization activities and the policies regarding regional happiness according to the user's selection, and presents combinations of a plurality of policies in the order of the priorities.

[0014] (Item 9) Preferably, in the configuration of item 5, the policy candidate presenting means presents policies that simultaneously execute activities related to decarbonization activities and regional happiness according to the user's selection.

[0015] (Item 10) Preferably, in the configuration of item 9, the policy candidate presenting means presents combinations of a plurality of policies and policies to be executed simultaneously according to the user's selection, and presents the effects and costs of each policy.

[0016] (Item 11) Preferably, in the configuration of item 1 or item 2, each of the plurality of first components is an evaluation of the renewable energy utilization activities executed within the organization at a plurality of stages.

[0017] (Item 12) Preferably, in the configuration of Item 1 or Item 2, among the plurality of first components, each evaluates the renewable energy utilization activities carried out for each facility within Organization A in multiple stages.

[0018] (Item 13) According to still another aspect of this invention, there is provided a method for generating an organizational activity index, which is executed by a computer including a storage device and an arithmetic device. The storage device stores information on the achievement status of a plurality of first components constituting the decarbonization activities of a target organization and the achievement status of a plurality of second components related to the regional happiness of the target organization. The arithmetic device includes: a decarbonization index calculation step of calculating a decarbonization effort index according to the achievement status of a plurality of first components constituting the decarbonization activities of the target organization; a disaster prevention measure index calculation step of calculating a disaster prevention measure index according to the achievement status of a plurality of second components related to the regional happiness of the target organization; and a display information generation step of generating display information for displaying the current status of the target organization in a manner that enables comparison with other organizations, with the decarbonization effort index as the first axis and the disaster prevention measure index as the second axis.

[0019] (Item 14) According to still another aspect of this invention, there is provided a program for generating an organizational activity index, which is executed by a computer including a storage device and an arithmetic device. The storage device stores information on the achievement status of a plurality of first components constituting the decarbonization activities of a target organization and the achievement status of a plurality of second components related to the regional happiness of the target organization. The generation program causes the arithmetic device to execute: a decarbonization index calculation step of calculating a decarbonization effort index according to the achievement status of a plurality of first components constituting the decarbonization activities of the target organization; a disaster prevention measure index calculation step of calculating a disaster prevention measure index according to the achievement status of a plurality of second components related to the regional happiness of the target organization; and a display information generation step of generating display information for displaying the current status of the target organization in a manner that enables comparison with other organizations, with the decarbonization effort index as the first axis and the disaster prevention measure index as the second axis. to execute.

Advantages of the Invention

[0020] According to the present invention, the current status of an organization's decarbonization activities and activities aimed at improving local well-being can be displayed in a way that is easily understandable to non-experts. Furthermore, according to the present invention, preferably, the current status of an organization's decarbonization activities and activities to improve regional well-being, as well as measures to improve these, can be displayed in a way that is easily understandable to non-experts. [Brief explanation of the drawing]

[0021] [Figure 1] This figure shows an indicator generation device according to an embodiment of the present invention. [Figure 2] A block diagram of the indicator generation device is shown. [Figure 3] This flowchart shows an example of a method for generating organizational activity indicators using an indicator generation device according to an embodiment of the present invention. [Figure 4] (a) is a diagram illustrating the first component. (b) is a diagram illustrating the second component. [Figure 5] (a) is a diagram showing the calculation formulas for the decarbonization initiative indicator and the power outage countermeasures indicator. (b) is a diagram showing an example of a display screen that displays the information to be shown. [Figure 6] (a) is a flowchart showing an example of the process for visualizing the gap between the progress made and the target. (b) is a diagram showing an example of a display screen that shows comparative information. [Figure 7] (a) and (b) are diagrams showing examples of display screens that show comparative display information. [Figure 8] This flowchart shows an example of a method for updating the weight coefficients of an index generation device according to an embodiment of the present invention. [Figure 9] This figure shows an external server connected to an index generation device according to an embodiment of the present invention. [Figure 10] This is an example of a display screen showing information to be displayed. [Figure 11] This figure shows an example of information displayed for organizational activity indicators. [Modes for carrying out the invention]

[0022] The configuration of the indicator generation apparatus according to an embodiment of the present invention will be described below. In the following embodiments, components and processing steps denoted by the same reference numerals are identical or equivalent, and their descriptions will not be repeated unless necessary.

[0023] Figure 1 shows an indicator generation device 2000 according to an embodiment of the present invention. The indicator generation device 2000 corresponds to an example of an "organizational activity indicator generation device". In the following, "local government" will be assumed to be the unit of area as an example of a "regional unit" from which the "organizational activity indicator generation device" collects data. In Japan, "local government" will primarily be explained as meaning a city, town, or village, which is an administrative unit. However, the "regional unit" assumed as "local government" is not necessarily limited to this, and for example, a larger prefecture may be used as the unit. Overseas, a city or village may be used as the unit, or a larger area such as a state may be used.

[0024] As shown in Figure 1, the indicator generation device 2000 collects local government information data from each of the multiple local governments R. The indicator generation device 2000 is, for example, a server. The multiple local governments R are local government R 01 ~Municipality R N This includes. A local government R is, for example, a local public body. More specifically, a local government R is, for example, a prefecture and a city / town / village. A local government R corresponds to an example of an "organization". A target local government R indicates the target local government among multiple local government Rs. i This is an example of a "target organization."

[0025] Local government information data includes, for example, local government attribute information, local government characteristic history information, resident surveys, and policy history information.

[0026] The indicator generator 2000 outputs decarbonization initiative indicators and power outage countermeasure indicators. The power outage countermeasure indicators correspond to an example of a "regional happiness index." The regional happiness index includes disaster countermeasure indicators (power outage countermeasure indicators).

[0027] The index generation device 2000 will be further described with reference to Figure 2. Figure 2 shows a block diagram of the index generation device 2000.

[0028] As shown in Figure 2, the index generation device 2000 comprises a calculation processing unit 2100, a memory 2200, and a communication interface 2002.

[0029] The arithmetic processing unit 2100 is, for example, a processor such as a CPU (Central Processing Unit).

[0030] Memory 2200 refers to storage devices such as ROM (Read Only Memory) and RAM (Random Access Memory).

[0031] Communication interface 2002 communicates with external devices, for example, via a network such as the Internet. Communication interface 2002 is a communication module (communication device), such as a LAN board.

[0032] The calculation processing unit 2100 includes a municipality attribute clustering module 2110, a decarbonization index calculation module 2120, a power outage countermeasure index calculation module 2130, a similar municipality comparison module 2140, a target value setting module 2150, a solution search module 2160, and a policy candidate presentation module 2170. The municipal attribute clustering module 2110 divides organizations into clusters based on the attribute information of the target organization and the attribute information of other organizations, and determines the cluster to which the target organization belongs. The decarbonization index calculation module 2120 calculates a decarbonization initiative index according to the achievement status of several first components that constitute the target organization's decarbonization activities, as will be described later. The power outage countermeasure index calculation module 2130 calculates a regional well-being index according to the achievement status of several second components that constitute the target organization's disaster countermeasure activities, using "power outage countermeasures" as an example of "disaster countermeasures," as will be described later. Regional well-being is, for example, a numerical and visual representation of the ease of living and happiness of residents. Regional well-being includes, for example, disaster countermeasures, housing environment, medical care, welfare environment, and child-rearing environment. In the following, the "disaster countermeasures index" will be explained as an example. Note that the "regional well-being index" may be a combination of multiple indicators, for example, a combination of the "disaster countermeasures index" and the "housing environment index" with predetermined weights. The Similar Municipality Comparison Module 2140 generates "display information" that shows the current status of the target organization in a manner that allows comparison with other organizations, using decarbonization initiative indicators as the first axis and regional well-being as the second axis. The "display information" may be in any other form as long as it is possible to display comparative display information that compares the current status of the target organization with the current status of other organizations in the cluster to which the target organization belongs. "Other organizations" are organizations different from the target organization. Other organizations are, for example, organizations in the same cluster as clustered by the Municipality Attribute Clustering Module 2110, which will be described later. Other organizations may be selected from any organization regardless of cluster. Other organizations may be, for example, neighboring organizations (municipalities). The Target Value Setting Module 2150 sets target values ​​from the current status of the target organization by referring to the screen on which the comparative display information is displayed. The Solution Search Module 2160 searches for candidate measures from the current status of the target organization to the target value, taking into account the historical information of the measures of other organizations. Furthermore, the search results of the solution search module 2160 may be configured to present candidate measures in order of the magnitude of their effectiveness or the magnitude of their costs, depending on the user's selection.

[0033] The municipal attribute clustering module 2110 targets the municipal R i Based on the attribute information of Ri and other local governments R, organizations (local governments) are divided into clusters. Attribute information includes, for example, population, region, area, and average temperature. A cluster represents a group with similar attribute information. In other words, the local government attribute clustering module 2110 classifies multiple organizations (local governments) into multiple groups with similar attribute information. The local government attribute clustering module 2110 determines the cluster to which the target organization (target local government) belongs. In other words, the local government attribute clustering module 2110 identifies local governments R that have similar attribute information to the target local government Ri. In addition, other attribute information used to classify into multiple groups with similar attribute information may include information on the overall budget size and the budget size for specific areas (such as disaster countermeasures).

[0034] The decarbonization indicator calculation module 2120 calculates a decarbonization effort index based on the achievement status of multiple first components. These multiple first components constitute the decarbonization activities of the target municipality. Specifically, the decarbonization indicator calculation module 2120 calculates the index by multiplying the achievement status of each of the multiple first components by a weighting coefficient. Details of the first components and the calculation of the decarbonization effort index will be described later with reference to Figures 4(a), 5(a), and 5(b).

[0035] The power outage countermeasure indicator calculation module 2130 calculates the power outage countermeasure indicator according to the achievement status of multiple second components. These multiple second components constitute the power outage countermeasure activities of the target municipality. Details of the calculation of the second components and the decarbonization effort indicator will be described later with reference to Figures 4(b), 5(a), and 5(b).

[0036] The Similar Municipality Comparison Module 2140 generates display information that shows the current status of a target municipality in a manner that allows comparison with other municipalities, using the decarbonization initiative index as the first axis and the regional happiness index as the second axis. Specifically, the Similar Municipality Comparison Module 2140 generates comparative display information that compares the current status of the target municipality with the current status of other municipalities in the cluster to which the target municipality belongs. The comparative display information is displayed, for example, on the screen of an external device. If the index generation device 2000 has a screen, the comparative display information may also be displayed on the screen of the index generation device 2000. Details of the comparative display information will be described later with reference to Figures 6(a) and 6(b).

[0037] The target value setting module 2150 sets target values ​​based on the current situation of the target municipality by referring to the screen displaying comparative information. Details on setting target values ​​will be described later with reference to Figures 6(a) and 6(b).

[0038] The solution search module 2160 searches for candidate policies for the target municipality, from its current state to its target values, by considering historical information on policies implemented by other municipalities. Specifically, the solution search module 2160 searches for candidate policies for the target municipality, from its current state to its target values, by referring to information stored in the system information DB (database) 2310, which is stored in the external server 2300. The historical information on policies implemented by other municipalities includes, for example, the year of implementation, the content of the policy, its effect on decarbonization or disaster countermeasures, the cost, and the delivery date (time from planning to implementation). For example, the external server 2300 may store a list of historical information on policies implemented by other municipalities in the system information DB (database) 2310. Alternatively, the historical information on policies implemented by other municipalities may be stored in a list in the indicator generation device 2000. Candidate policies for decarbonization activities include, for example, the use of storage batteries, the conversion of public transportation to electric vehicles, the installation of solar power generation facilities, the installation of wind power generation facilities, and the promotion of biomass resource utilization projects. However, these are merely examples and not limiting. Potential measures for dealing with power outages include, for example, securing power supply during outages through the use of storage batteries, installing solar power generation equipment, installing wind power generation equipment, and promoting biomass power generation. However, these are merely examples and not limiting. Details on exploring potential measures will be discussed later, referring to Figure 7.

[0039] The policy candidate presentation module 2170 presents the searched policy candidates to the user. Details of the policy candidate presentation will be described later, referring to Figure 7.

[0040] The indicator generation device 2000 transmits and receives local government attribute information, local government characteristic history information, resident surveys, and policy history information to and from external devices via the communication interface 2002. The indicator generation device 2000 receives target settings from external devices via the communication interface 2002. The indicator generation device 2000 transmits graph data to external devices via the communication interface 2002. The graph is, for example, a graph showing the relationship between decarbonization initiative indicators and power outage countermeasures and their target values. The indicator generation device 2000 transmits and receives system information to and from the external server 2300 via the communication interface 2002. The external server 2300 stores the system information DB (database) 2310.

[0041] Referring to Figure 3, the method for generating organizational activity indicators using the indicator generation device 2000 according to an embodiment of the present invention will be described. Figure 3 is a flowchart showing an example of the method for generating organizational activity indicators using the indicator generation device 2000 according to an embodiment of the present invention. The organizational activity indicators are generated when a program showing the processes from steps S100 to S300 shown in Figure 3 is executed on a computer.

[0042] As shown in Figure 3, the method for generating organizational activity indicators includes a "visualization of the current situation" process (step S100), a "visualization of the gap between the current situation and the target" process (step S200), and a "proposal of measures (solutions)" process (step S300). In the visualization process (step S100), the indicator generation device 2000 performs a visualization process of the current situation of decarbonization and strengthening of power outage countermeasures (resilience) in the target municipality. In the "visualization of the gap between the current situation and the target" process (step S200), the indicator generation device 2000 performs a visualization process of the gap between the current situation and the target. In the "proposal of measures (solutions)" process (step S300), the indicator generation device 2000 proposes measures (solutions).

[0043] The current situation visualization process (step S100) includes a data acquisition process (step S110), a decarbonization index calculation process (step S120), a power outage countermeasure index calculation process (step S130), and a visual display process (step S140). The power outage countermeasure index calculation process (step S130) corresponds to an example of the "regional happiness index calculation process." The visual display process (step S140) corresponds to an example of the "display information generation process."

[0044] In step S110 (data acquisition step), the indicator generation device 2000 acquires data from the target organization (target local government) via the communication interface 2002. The process then proceeds to step S120.

[0045] In step S120 (decarbonization indicator calculation step), the decarbonization indicator calculation module 2120 calculates a decarbonization initiative indicator according to the achievement status of multiple first components. The multiple first components constitute the decarbonization activities of the target organization (target local government). The process proceeds to step S130.

[0046] In step S130 (power outage countermeasure indicator calculation step), the power outage countermeasure indicator calculation module 2130 calculates a power outage countermeasure indicator according to the achievement status of multiple second components. The multiple second components constitute the power outage countermeasure activities of the target organization (target local government). The process proceeds to step S140.

[0047] In step S140 (visual display step), the similar municipality comparison module 2140 provides a visual display of the decarbonization initiative indicator and the power outage countermeasure indicator. Specifically, it generates display information that shows the current status of the target organization, with the decarbonization initiative indicator as the first axis and the power outage countermeasure indicator as the second axis. The display information is shown, for example, on the screen of an external device. If the indicator generation device 2000 has a screen, the display information may be displayed on the screen of the indicator generation device 2000. The process then proceeds to step S210.

[0048] The process of visualizing the gap between the current status and the target (Step S200) includes a comparison process with the current status of similar organizations (local governments) (Step S210) and a target setting process (Step S220).

[0049] In step S210 (comparison process with similar organizations (similar municipalities) and the current situation), the similar municipality comparison module 2140 performs a comparison with the current situation of similar organizations (similar municipalities). Specifically, the similar municipality comparison module 2140 generates comparison display information. The comparison display information is information that compares the current situation of the target organization with the current situation of other organizations (similar municipalities) in the cluster to which the target organization belongs. The comparison display information is displayed, for example, on the screen of an external device. If the indicator generation device 2000 has a screen, the indicator generation device 2000 may display the comparison display information on the screen. The process proceeds to step S220.

[0050] In step S220 (target setting process), target setting is performed by user input. Specifically, the user enters the target value based on the screen displaying comparative information. As a result, the target value setting module 2150 refers to the screen displaying comparative information and sets the target value based on the current situation of the target organization. The process then proceeds to step S310.

[0051] The proposal process (step S300) includes the process of exploring measures (solutions) (step S310), the process of presenting candidate measures (solutions) (step S320), and the process of deciding on a measure (step S330).

[0052] In step S310 (solution search process), the solution search module 2160 searches for candidate policies for the target municipality, from the current situation to the target value, by referring to historical information on policies (solutions) of other municipalities. The historical information on policies (solutions) of other municipalities includes, for example, the year of policy implementation, policy content, effect on decarbonization or disaster countermeasures, cost, and delivery date (time from planning to implementation). For example, the external server 2300 may store a list of historical information on policies of other municipalities in the system information DB (database) 2310. Alternatively, the historical information on policies of other municipalities may be stored in a list in the indicator generation device 2000. The process proceeds to step S320.

[0053] In step S320 (the process of presenting candidate measures (solutions)), the candidate measure presentation module 2170 presents the searched candidate measures to the user. The process then proceeds to step S330.

[0054] In step S330 (the process of deciding on a policy), the policy is decided based on user input. As a result, information indicating the decided policy is stored in memory 2200. The process then ends.

[0055] The first and second components will be explained with reference to Figures 4(a) and 4(b). Figure 4(a) is a diagram illustrating the first component. Figure 4(b) is a diagram illustrating the second component. In the following, it will be assumed that the tables in Figures 4(a) and 4(b) are stored for each target organization. Furthermore, it is desirable that such tables be stored chronologically for predetermined periods.

[0056] As shown in Figure 4(a), memory 2200 stores table TB1. More specifically, memory 2200 stores the evaluation method, achievement status, and weight coefficient ω in association with the first component. Table TB1 includes columns R11, R12, R13, and R14.

[0057] Column R11 stores the first component. More specifically, Column R11 stores the components that make up the decarbonization activities of the target municipality. More specifically, Column R11 stores the details of the decarbonization activities of the target municipality. The first component includes, for example, "setting goals and actions," "applying to be a leading decarbonization region," "developing renewable energy facilities (solar)," "developing renewable energy facilities (wind)," "developing renewable energy facilities (other)," "introducing CGS," "introducing EMS," "installing hydrogen stations," "EV conversion of local transportation vehicles," and "energy management by a new local power company." CGS is a cogeneration system. CGS is a system that, for example, uses clean city gas as fuel to generate electricity where needed, and simultaneously utilizes the heat generated for cooling, heating, hot water supply, steam, etc. EMS is an energy management system. EMS is a system that, for example, monitors energy use and optimizes operational efficiency. EV conversion refers to, for example, the conversion to electric vehicles.

[0058] Column R12 stores the evaluation method. The evaluation method indicates how to evaluate the first component. The evaluation method may be, for example, a binary (2-level) or a 5-level scale.

[0059] Column R13 stores the achievement status of the first component. The achievement status indicates a value corresponding to the evaluation method. Memory 2200 stores "1" corresponding to the evaluation method "2 values" for the first component "Setting Goals and Actions". Memory 2200 also stores "4" corresponding to the evaluation method "5 levels" for the first component "Development of Renewable Energy Facilities (Solar Power)". In this way, each of the multiple first components is an evaluation of the decarbonization efforts carried out within the organization at multiple levels. Thus, decarbonization efforts include energy conservation activities and renewable energy utilization activities carried out within the organization.

[0060] The weight coefficient ω is stored in column R14. For example, memory 2200 corresponds to the weight coefficient ω in the first component "Setting of Goal / Action".1a stores it. The weight coefficient ω is used when the decarbonization index calculation module 2120 calculates the decarbonization effort index. In this embodiment, the memory 2200 stores the first component such that the weight coefficient increases as it goes up in the table TB1. That is, it indicates that the higher up the table, the more effective the decarbonization activity towards decarbonization. In this embodiment, the weight coefficient ω 1a ≥ weight coefficient ω 1b ≥ weight coefficient ω 1c ≥ weight coefficient ω 1d ≥ weight coefficient ω 1e ≥... and so on.

[0061] As shown in FIG. 4(b), the memory 2200 stores the table TB2. Specifically, the memory 2200 stores an evaluation method, an achievement status, and a weight coefficient ω in association with the second component. The table TB2 includes a column R21, a column R22, a column R23, and a column R24.

[0062] The column R21 stores the second component. Specifically, the column R21 stores the components that make up the power outage countermeasure activities of the target local government. More specifically, the column R21 stores the activity contents of the power outage countermeasure activities of the target local government. The second component is, for example, "Power outage countermeasures for medical facilities", "Power outage countermeasures for educational and cultural facilities", "Power outage countermeasures for welfare facilities", "Power outage countermeasures for public industrial facilities", "Power outage countermeasures for private industrial facilities", "Power outage countermeasures for administrative facilities", "Power outage countermeasures for private residential facilities", "Power outage countermeasures for private commercial facilities", and "Power outage countermeasures for medical facilities".

[0063] The column R22 stores the evaluation method. The evaluation method indicates the method for evaluating the second component. The evaluation method is, for example, in five levels.

[0064] Column R23 stores the achievement status of the second component. The achievement status indicates a value corresponding to the evaluation method. Memory 2200 stores "5" corresponding to the evaluation method "5 levels" for the second component "Power outage countermeasures for medical facilities". In this way, each of the multiple second components is an evaluation of the power outage countermeasures activities carried out within the organization at multiple levels.

[0065] The weight coefficient ω is stored in column R24. For example, memory 2200 is associated with the second component "Power outage countermeasures for medical facilities" and stores the weight coefficient ω. 2a The weight coefficient ω is stored. The weight coefficient ω is used by the decarbonization index calculation module 2120 when calculating the decarbonization effort index. In this embodiment, the memory 2200 stores the second component such that the weight coefficient increases as you go up the table TB2. In other words, going up the table indicates a more effective power outage countermeasure activity toward power outage countermeasures. In this embodiment, the weight coefficient ω 2a ≥ weight coefficient ω 2b ≥ weight coefficient ω 2c ≥ weight coefficient ω 2d ≥ weight coefficient ω 2e ≥...

[0066] The display of decarbonization indicators and power outage countermeasure indicators will be explained with reference to Figures 5(a) and 5(b). Figure 5(a) is a diagram showing the calculation formulas for decarbonization initiative indicators and power outage countermeasure indicators. Figure 5(b) is a diagram of an example of a display screen showing the displayed information.

[0067] As shown in Figure 5(a), the decarbonization index calculation module 2120 calculates a decarbonization initiative index according to the achievement status of multiple first components. These multiple first components constitute the decarbonization activities of the target municipality. Specifically, the decarbonization index calculation module 2120 calculates the index by multiplying the achievement status of each of the multiple first components by a weighting coefficient. As a result, the decarbonization index calculation module 2120 calculates the decarbonization index as a numerical value.

[0068] The power outage countermeasure index calculation module 2130 calculates a power outage countermeasure index based on the achievement status of multiple second components. These multiple second components constitute the power outage countermeasure activities of the target municipality. Specifically, the power outage countermeasure index calculation module 2130 calculates the index by multiplying the achievement status of each of the multiple second components by a weighting coefficient. As a result, the power outage countermeasure index calculation module 2130 calculates the power outage countermeasure index as a numerical value.

[0069] As shown in Figure 5(b), the Similar Municipality Comparison Module 2140 generates display information showing the current status of the target municipality, with the decarbonization initiative index as the first axis X1 and the power outage countermeasure index (regional happiness index) as the second axis Y1. In this embodiment, the first axis X1 is the horizontal axis, and the second axis Y1 is the vertical axis. In this embodiment, the Similar Municipality Comparison Module 2140 generates display information showing a graph with the decarbonization initiative index on the horizontal axis and the power outage countermeasure index on the vertical axis. In Figure 5(b), point P1 represents the current values ​​of the decarbonization initiative index and the power outage countermeasure index in the target municipality.

[0070] Referring to Figures 6(a) and 6(b), the visualization of the gap between the current progress and the target will be explained. Figure 6(a) is a flowchart of an example of the process (step S200) for visualizing the gap between the current progress and the target. Figure 6(b) is an example of a display screen showing comparative display information. The processing from steps S410 to S450 visualizes the gap between the current progress and the target. Here, we will explain the case where the organization is a local government.

[0071] As shown in Figure 6(a), in step S410, the local government attribute clustering module 2110 performs categorization (clustering) based on characteristics such as population, financial index, industrial structure, and area. The process then proceeds to step S420.

[0072] In step S420, the similar municipality comparison module 2140 identifies similar municipalities. More specifically, the similar municipality comparison module 2140 identifies the cluster to which the target municipality belongs. Then, the similar municipality comparison module 2140 identifies the municipalities included in the cluster to which the target municipality belongs as similar municipalities. In Figure 6(b), point P2 represents the values ​​for decarbonization initiative indicators and resident requests (power outage countermeasures) in the target municipality. The process proceeds to step S430.

[0073] In step S430, the similar municipality comparison module 2140 presents reference information. This reference information includes, for example, resident surveys (requests) and the municipality's medium- to long-term vision. The process then proceeds to step S440.

[0074] In step S440, the user inputs a target based on reference information and the situation of similar municipalities. As a result, the target value setting module 2150 refers to the screen displaying comparative information and sets the target value (target point P3) based on the current situation of the target municipality. The process then ends.

[0075] As explained above with reference to Figures 6(a) and 6(b), the Similar Municipality Comparison Module 2140 generates display information that shows the current status of the target municipality in a manner that allows for comparison with other municipalities, using decarbonization initiative indicators as the first axis and power outage countermeasures indicators as the second axis.

[0076] The method for presenting policy candidates will be explained with reference to Figures 7(a) and 7(b). Figures 7(a) and 7(b) are examples of display images showing comparative information.

[0077] As shown in Figure 7(a), the policy candidate presentation module 2170 sets the priority of policies for decarbonization activities and policies for power outage countermeasures, according to the user's selection. The policy candidate presentation module 2170 then presents multiple policy combinations in order of priority. Specifically, in the example shown in Figure 7(a), the user has selected to give higher priority to policies for decarbonization activities than to policies for power outage countermeasures. In this case, the policy candidate presentation module 2170 sets the priority of policies for power outage countermeasures higher than that of policies for decarbonization activities. Therefore, the policy candidate presentation module 2170 presents a policy combination in which policy B (Solution B), which is a policy for decarbonization activities, is applied first, followed by policy A (Solution A), which is a policy for power outage countermeasures. Specifically, the policy candidate presentation module 2170 presents the changes in the decarbonization activity indicator and the power outage countermeasures indicator when policy B (Solution B), which is a policy for decarbonization activities, is applied first, followed by policy A (Solution A), which is a policy for power outage countermeasures. In other words, the policy candidate presentation module 2170 presents a trajectory from point P1, which represents the current situation, to the target point P3.

[0078] Furthermore, the policy candidate presentation module 2170 may present a policy C (Solution C) that simultaneously implements decarbonization activities and disaster response activities, depending on the user's selection. In this case, as shown in Figure 7(b), the module presents the changes in the decarbonization activity indicator and the power outage countermeasure indicator when policy C (Solution C), which simultaneously implements decarbonization activities and disaster response activities, is applied. In other words, the policy candidate presentation module 2170 presents the trajectory from point P1, which represents the current situation, to the target point P3. In addition, depending on the user's selection, the policy candidate presentation module 2170 may present a combination of multiple policies and policies to be implemented simultaneously, as well as the effects and costs of each policy.

[0079] The policy candidate presentation module 2170 may present policy candidates in order of the magnitude of the policy's effect or in order of the magnitude of the policy's cost, depending on the user's selection. For example, if the user chooses to prioritize the magnitude of the policy's effect, the policy candidate presentation module 2170 will present policy candidates in order of the magnitude of the policy's effect. Alternatively, for example, if the user chooses to prioritize the magnitude of the policy's cost, the policy candidate presentation module 2170 will present policy candidates in order of the magnitude of the policy's cost.

[0080] Furthermore, it is preferable that the decarbonization index calculation module 2120 updates the weight coefficients in accordance with updates to the historical information of other organizations' policies. For example, the decarbonization index calculation module 2120 updates the weight coefficients when the historical information of other organizations' policies is updated. However, the timing of updating the weight coefficients is not limited to updates to the historical information of other organizations' policies. For example, the decarbonization index calculation module 2120 may update the weight coefficients periodically.

[0081] Refer to Figure 8 to explain how to update the weight coefficients. Specifically, we will explain how to update the weight coefficients of the regression model for the decarbonization effort indicator. Figure 8 is a flowchart showing an example of how to update the weight coefficients of the indicator generation device 2000 according to an embodiment of the present invention. The weight coefficients are updated by executing the processes from step S510 to step S560.

[0082] In step S510, the decarbonization index calculation module 2120 obtains annual CO2 emission data from multiple organizations (e.g., local governments across the country). The process then proceeds to step S520.

[0083] In step S520, the decarbonization indicator calculation module 2120 obtains data for the first component of the decarbonization effort indicator. The process then proceeds to step S520.

[0084] In step S530, the decarbonization index calculation module 2120 calculates the reduction in per capita CO2 emissions compared to the base year. The process proceeds to step S530.

[0085] In step S540, the weighting coefficients of the decarbonization initiative indicators are updated to best explain the reduction in CO2 emissions per capita. In other words, the decarbonization indicator calculation module 2120 updates the weighting coefficients in accordance with updates to the historical information of other organizations' initiatives. The process then proceeds to step S550.

[0086] In step S550, the updated weighting coefficients for the decarbonization efforts indicators are stored in the memory (memory 2200). The process then proceeds to step S560.

[0087] In step S560, the decarbonization performance indicators for each organization are updated based on the updated weighting coefficients of the decarbonization performance indicators. The process then ends.

[0088] It should be noted that the method for updating decarbonization performance indicators is not necessarily limited to those described above. For example, regarding weighting coefficients, it is possible to initially set default values ​​and then update the values ​​of the weighting coefficients at predetermined intervals using data on decarbonization activities and their corresponding decarbonization achievement status across multiple organizations. For example, based on data from all target organizations, it is possible to assign higher update increments to decarbonization activities that appear in common among a predetermined number of top-performing organizations with high decarbonization achievement status, and conversely, assign decreases to decarbonization activities that do not appear among the top-performing organizations, thereby updating while keeping the sum of the weighting coefficients constant. Alternatively, the "multiple organizations" referenced when updating the weighting coefficients may be different from the "entire target organization" in the above example; for example, it may be "multiple organizations belonging to the same cluster." The "decarbonization achievement status" may be calculated from actual measurement data or declared data from each business site within the organization. Furthermore, the method for updating the weighting coefficients is not necessarily limited to the method described above. Any other method may be used, as long as it updates the coefficients so that larger weighting coefficients are assigned to decarbonization activities that have a greater impact on the achievement of decarbonization.

[0089] Furthermore, the weighting coefficients for power outage countermeasures activities can be updated in the same way as the weighting coefficients for decarbonization activities. In this case, the "effect of power outage countermeasures" can be evaluated by, for example, pre-ranking facilities and activities necessary as lifelines in the event of a power outage, pre-quantifying the percentage of facilities and activities of each rank that can be maintained by the "power outage countermeasures activities," and then summing these values. For example, the "rank" here refers to facilities such as "hospitals," which are given a high priority and ranked as rank 1. The percentage of necessary activities that can be performed within these facilities is then quantified (evaluated), thereby quantifying the "effect on rank 1." Subsequently, for example, "educational and cultural facilities" and "welfare facilities" can be ranked as rank 2 and quantified in the same way, and further down the ranks can also be quantified in the same manner. For example, higher evaluation points can be set for ranks with higher priority. Such ranking is not limited to the above example; for example, instead of ranks, a priority order can be pre-set for each facility and quantified, or other methods can be used. Furthermore, the method for updating the weighting coefficients is not necessarily limited to the method described above. Any other method may be used as long as it updates the weighting coefficients so that activities that have a greater impact on the effectiveness of power outage countermeasures are given larger weighting coefficients.

[0090] The external server 2300 will be described with reference to Figure 9. Figure 9 shows an external server 2300 connected to an index generation device 2000 according to an embodiment of the present invention.

[0091] As shown in Figure 9, the external server 2300 has a system information DB (database) 2310. The system information DB (database) 2310 stores local government characteristic history information 2312 and information before and after the implementation of policies 2314.

[0092] The local government characteristics history information 2312 is information that shows the history of local government characteristics. These characteristics include, for example, population size, region, area, and average temperature. The system information DB (database) 2310 stores the history of these characteristics year by year, associated with each local government, as local government characteristics history information 2312.

[0093] Information before and after the implementation of the policy (2314) includes the year of implementation, the content of the policy, the name of the local government, per capita energy production, per capita CO2 consumption, per capita cost, and the time from planning to implementation.

[0094] The multiple first components may each represent an evaluation of renewable energy utilization activities carried out at each facility within the municipality, across multiple stages. Similarly, the multiple second components may each represent an evaluation of renewable energy utilization activities carried out at each facility within the municipality, across multiple stages. Examples of facilities include medical facilities, educational and cultural facilities, welfare facilities, public industrial facilities, private industrial facilities, administrative facilities, private residential facilities, and private commercial facilities.

[0095] Referring to Figure 10, we will explain how to evaluate decarbonization initiative indicators and power outage countermeasure indicators for each facility within a local government. Figure 10 is an example of a display screen showing the displayed information.

[0096] As shown in Figure 10, the similar municipality comparison module 2140 may generate display information showing graphs for each facility within a municipality. In the example shown in Figure 10, the similar municipality comparison module 2140 generates display information showing a graph in which graphs for each facility within multiple organizations within a municipality are arranged vertically. In addition, the similar municipality comparison module 2140 may also generate display information showing a graph that shows all facilities within the municipality as a whole, in addition to graphs for each facility within multiple organizations within a municipality.

[0097] In the index generation device 2000 described with reference to Figure 10, the similar municipal comparison module 2140 had a first axis X1 as the horizontal axis and a second axis Y1 as the vertical axis, extending in different directions. However, the present invention is not limited to this. For example, the first axis X1 and the second axis Y1 may extend in the same direction.

[0098] Refer to Figure 11 to explain an example of the display information for organizational activity indicators. Figure 11 is a diagram showing an example of the display information for organizational activity indicators. In Figure 11, a to e represent organizations a to e.

[0099] As shown in Figure 11, in this embodiment, the first axis X1 and the second axis Y1 extend radially in the same direction. In this embodiment, as in the example shown in Figure 10, it is possible to check the current status (progress of efforts) for each of the multiple facilities within the local government.

[0100] The Similar Municipalities Comparison Module 2140 may generate display information that shows a graph with the degree of emphasis on decarbonization and disaster countermeasures as the first axis X1, and well-being indicators related to decarbonization activities and disaster countermeasures as the second axis Y1. Alternatively, the Similar Municipalities Comparison Module 2140 may generate display information that shows a graph with the degree of emphasis on decarbonization and disaster countermeasures as the first axis X1, and the degree of implementation of disaster countermeasures as the second axis Y1. Alternatively, the Similar Municipalities Comparison Module 2140 may generate display information that shows a graph with the degree of implementation of decarbonization and disaster countermeasures as the first axis X1, and well-being indicators related to decarbonization and disaster countermeasures as the second axis Y1.

[0101] As explained above with reference to Figures 1 to 11, in the organizational activity indicator generation device (indicator generation device 2000), the display information generation means (similar municipality comparison module 2140) generates display information that shows the current status of the target organization (target municipality) in a manner that allows comparison with other organizations (other municipalities), using decarbonization initiative indicators as the first axis and disaster countermeasure indicators (power outage countermeasure indicators) as the second axis. Therefore, the current status of decarbonization initiatives and disaster countermeasures (power outage countermeasures) can be visually represented. As a result, the current status of the organization's decarbonization activities and disaster countermeasure activities (power outage countermeasures) can be displayed in a way that is easily understandable to non-experts.

[0102] Furthermore, the Similar Municipality Comparison Module 2140 generates comparative display information that compares the current status of the target organization (target municipality) with the current status of other organizations (other municipalities) in the cluster to which the target organization (target municipality) belongs. Therefore, it is possible to identify the gap between the target organization (target municipality) and similar organizations (similar municipalities). As a result, the need for decarbonization efforts and disaster countermeasures (power outage countermeasures) can be recognized.

[0103] Furthermore, the target value setting module 2150 sets target values ​​based on the current situation of the target organization by referring to a screen displaying comparative information. Therefore, target values ​​can be set based on the current situation of the target organization, using similar organizations (similar municipalities) as a basis. As a result, achievable target values ​​can be set.

[0104] Furthermore, the solution search module 2160 explores potential policies for the target organization, taking into account the historical information of policies implemented by other organizations (other local governments). The policy candidate presentation means (policy candidate presentation module 2170) presents the explored policy candidates to the user. Therefore, policy candidates are presented based on information from other organizations (other local governments) with proven track records. As a result, policies that effectively improve decarbonization efforts and disaster countermeasures (power outage countermeasures) from the current state can be presented.

[0105] Furthermore, the policy candidate presentation module 2170 presents policy candidates in order of either the magnitude of the policy's effect or the magnitude of the policy's cost, depending on the user's selection. Therefore, policies are presented in an order that reflects whether the user prioritizes the policy's effect or its cost. As a result, policies that meet the user's needs can be presented.

[0106] Furthermore, the decarbonization indicator calculation module 2120 updates its weighting coefficients in accordance with updates to the historical information of policies implemented by other organizations (other local governments). Therefore, the weighting coefficients are updated with the latest information, resulting in the accurate calculation of decarbonization indicators.

[0107] Furthermore, the policy candidate presentation module 2170 sets priorities for decarbonization activities and disaster response activities (power outage countermeasures) according to the user's selection, and presents multiple policy combinations in order of priority. Therefore, it can present policy combinations that meet the user's needs.

[0108] Furthermore, the policy candidate presentation module 2170 presents policies that simultaneously implement decarbonization activities and disaster response activities (power outage response activities) according to the user's selection. Therefore, it can present policies that enable the decarbonization activity indicator and the disaster response activity indicator (power outage response activity indicator) to reach their target values ​​early.

[0109] Furthermore, the policy candidate presentation module 2170 presents combinations of multiple policies and policies to be implemented simultaneously, according to the user's selection, and also presents the effects and costs of each policy. Therefore, the user can confirm the effects and costs of each policy. As a result, the user can select a policy that meets their needs.

[0110] Furthermore, each of the multiple first components evaluates renewable energy utilization activities carried out within the organization (or local government) at multiple stages. Therefore, it is possible to calculate indicators for renewable energy utilization activities within the organization (or local government). As a result, when considering the introduction of a system for the effective utilization of renewable energy, it is possible to appropriately calculate objective "indicators" to support the decision-making process for system implementation.

[0111] Furthermore, each of the multiple first components evaluates renewable energy utilization activities carried out at each facility within the organization (or local government) at multiple stages. Therefore, it is possible to calculate indicators for renewable energy utilization activities for each facility within the organization (or local government). As a result, when considering the introduction of a system for the effective utilization of renewable energy, it is possible to appropriately calculate objective "indicators" to support the decision-making process for system implementation.

[0112] Furthermore, the method for generating organizational activity indicators includes a decarbonization indicator calculation step (step S120), a disaster response indicator calculation step (step S130), and a display information generation step (step S140). In the decarbonization indicator calculation step (step S120), decarbonization initiative indicators are calculated according to the achievement status of multiple first components constituting the decarbonization activities of the target organization (target municipality). In the disaster response indicator calculation step (step S130), disaster response indicators are calculated according to the achievement status of multiple second components constituting the disaster response activities of the target organization. In the display information generation step (step S140), display information is generated that shows the current status of the target organization (target municipality) in a manner that allows comparison with other organizations (other municipalities), using the decarbonization initiative indicators as the first axis and the disaster response indicators (power outage countermeasure indicators) as the second axis. Therefore, the current status of decarbonization efforts and disaster countermeasures (power outage countermeasures) can be visually represented. As a result, the current status of the organization's decarbonization activities and disaster response activities (power outage response activities) can be displayed in a way that is easily understandable to non-experts.

[0113] Furthermore, the organizational activity indicator generation program causes a computer to perform the following steps: a decarbonization indicator calculation step (step S120), a disaster response indicator calculation step (step S130), and a display information generation step (step S140). In the decarbonization indicator calculation step (step S120), a decarbonization effort indicator is calculated according to the achievement status of multiple first components constituting the decarbonization activities of the target organization (target municipality). In the disaster response indicator calculation step (step S130), a disaster response indicator is calculated according to the achievement status of multiple second components constituting the disaster response activities of the target organization. In the display information generation step (step S140), display information is generated that shows the current status of the target organization (target municipality) in a manner that allows comparison with other organizations (other municipalities), using the decarbonization effort indicator as the first axis and the disaster response indicator (power outage countermeasure indicator) as the second axis. Therefore, the current status of decarbonization efforts and disaster countermeasures (power outage countermeasures) can be visually represented. As a result, the current status of the organization's decarbonization activities and disaster response activities (power outage response activities) can be displayed in a way that is easily understandable to non-experts.

[0114] While various embodiments relating to this disclosure have been described, these are presented as examples only and are not intended to limit the scope of the invention. These novel embodiments can be implemented in a variety of other forms, and various omissions, substitutions, and modifications are permitted without departing from the spirit of the invention. These embodiments and their variations are included within the scope and spirit of the invention, as well as within the scope of the invention and its equivalents as described in the claims.

[0115] For example, in the organizational activity indicator generation device (indicator generation device 2000) described with reference to Figures 1 to 11, the organization was a local government, but the present invention is not limited to this. For example, the organization may be a company. [Explanation of Symbols]

[0116] 2000 Indicator Generator (Organizational Activity Indicator Generator) 2110 Local Government Attribute Clustering Module 2120 Decarbonization Index Calculation Module 2130 Power Outage Countermeasures Indicator Calculation Module 2140 Similar Municipality Comparison Module 2150 Target Value Setting Module 2160 Solution Exploration Module 2170 Policy Candidate Presentation Module

Claims

1. A decarbonization indicator calculation means that calculates a decarbonization effort indicator according to the achievement status of multiple first components that constitute the decarbonization activities of the target organization, A means for calculating a regional happiness index that calculates a regional happiness index according to the achievement status of multiple second components related to the regional happiness of the aforementioned target organization, A device for generating organizational activity indicators, comprising: a display information generation means for generating display information that displays the current status of the target organization in a manner that allows comparison with other organizations, with the decarbonization initiative indicator as the first axis and the regional happiness index as the second axis.

2. The apparatus for generating organizational activity indicators according to claim 1, wherein the aforementioned regional happiness index includes a disaster response index.

3. The system includes a clustering means that divides organizations into clusters based on the attribute information of the target organization and the attribute information of other organizations, and determines which cluster the target organization belongs to. The organizational activity indicator generating apparatus according to claim 1 or 2, wherein the display information generating means generates comparative display information that compares the current status of the target organization with the current status of other organizations in the cluster to which the target organization belongs.

4. The organizational activity indicator generation device according to claim 3, further comprising a target value setting means for setting a target value from the current state of the target organization by referring to a screen on which the comparative display information is displayed.

5. A policy candidate search means for searching for policy candidates from the current state of the target organization up to the target value, taking into consideration the historical information of policies of the aforementioned other organizations, A means for presenting the explored candidate measures to the user, The apparatus for generating organizational activity indicators according to claim 4, further comprising:

6. The organizational activity indicator generation apparatus according to claim 5, wherein the policy candidate presentation means presents the policy candidates in order of the magnitude of the policy's effect or the magnitude of the policy's cost, according to the user's selection.

7. The aforementioned decarbonization initiative indicator is calculated by multiplying the achievement status of each of the plurality of first components by a weighting coefficient. The decarbonization indicator calculation means updates the weight coefficient in accordance with the update of historical information of the measures of the other organization, as described in claim 1 or claim 2, for the organizational activity indicator generation device.

8. The organizational activity indicator generation device according to claim 5, wherein the policy candidate presentation means sets priorities for the policies for decarbonization activities and the policies for regional well-being according to the user's selection, and presents a combination of multiple policies in order of priority.

9. The organizational activity indicator generation device according to claim 5, wherein the policy candidate presentation means presents policies that simultaneously implement the decarbonization activities and the activities related to regional well-being, according to the user's selection.

10. The organizational activity indicator generation apparatus according to claim 9, wherein the measure candidate presentation means presents a combination of the measures to be implemented simultaneously with the measures to be implemented according to the user's selection, and also presents the effects and costs of each measure.

11. The apparatus for generating organizational activity indicators according to claim 1 or claim 2, wherein each of the plurality of first components evaluates renewable energy utilization activities carried out within the organization in multiple stages.

12. The apparatus for generating organizational activity indicators according to claim 1 or claim 2, wherein each of the plurality of first components evaluates renewable energy utilization activities performed at each facility within organization a in multiple stages.

13. A method for generating organizational activity indicators, performed by a computer equipped with a storage device and a computing device, wherein the storage device stores information on the achievement status of a plurality of first components constituting the decarbonization activities of a target organization and the achievement status of a plurality of second components relating to the regional well-being of the target organization, and the computing device comprises: a decarbonization indicator calculation step of calculating a decarbonization effort indicator according to the achievement status of the plurality of first components constituting the decarbonization activities of the target organization; a regional well-being indicator calculation step of calculating a regional well-being indicator according to the achievement status of the plurality of second components relating to the regional well-being of the target organization; and a display information generation step of generating display information that displays the current status of the target organization in a manner that allows comparison with other organizations, with the decarbonization effort indicator as the first axis and the regional well-being indicator as the second axis.

14. A program for generating organizational activity indicators, which is executed by a computer equipped with a memory device and a computing device, The storage device stores information on the achievement status of a plurality of first components constituting the decarbonization activities of the target organization and the achievement status of a plurality of second components related to the regional well-being of the target organization. The generation program is provided to the arithmetic unit, The calculation device includes a decarbonization indicator calculation step that calculates a decarbonization initiative indicator according to the achievement status of the plurality of first components constituting the decarbonization activities of the target organization; a regional happiness indicator calculation step that calculates a regional happiness indicator according to the achievement status of the plurality of second components related to the regional happiness of the target organization; and a display information generation step that generates display information that displays the current status of the target organization in a manner that allows comparison with other organizations, using the decarbonization initiative indicator as the first axis and the regional happiness indicator as the second axis. A program for generating organizational activity indicators that enables the execution of these indicators.