Information Processing Apparatus, Information Processing Method, and Information Processing Program

Abstract

It is possible to support the consideration work when specifically considering what GHG reduction activities an enterprise can carry out from a quantitative perspective. 【Solution means】The information processing apparatus 100 includes a data acquisition unit 110 that acquires time-series data related to the GHG emissions of the user enterprise, and based on the time-series data acquired by the data acquisition unit 110, calculates the GHG reduction amount in an arbitrary specified period, which is the reduction amount relative to the GHG emissions in an arbitrary reference period, a reduction amount calculation unit 120, and generates data indicating a screen for comparing and displaying the GHG emissions in an arbitrary reference period and the GHG reduction amount in an arbitrary specified period calculated by the reduction amount calculation unit 120. It includes a display data generation unit 130 and a display control unit 140 that causes the screen indicated by the data generated by the display data generation unit 130 to be displayed on the display unit of the user terminal UT.

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] In recent years, the reduction of greenhouse gas (GHG) has become an important issue for companies. GHG is the main cause of global warming, and the abnormal weather, sea-level rise, and ecosystem destruction caused by it are regarded as serious international problems. For this reason, organizations such as countries, public bodies, and companies are strongly required to build a sustainable environment and society. Furthermore, in many countries, laws and regulations regarding GHG reduction have been strengthened, and if companies do not take appropriate measures, the risk of receiving legal penalties is increasing. In addition, stakeholders such as investors, consumers, and local residents tend to support environmentally considerate companies, and efforts to reduce GHG have a direct impact on a company's social image and fund-raising ability. Along with this, companies are strongly required to disclose non-financial information related to environment, sustainability, and governance (ESG).

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The technology disclosed in Patent Document 1 can be used by financial institutions or the like that provide financing or subsidies to enterprises to determine whether an enterprise meets the conditions for financing or the like. It rather supports the performance of tasks in financial institutions or the like than the enterprise itself. Although not explicitly stated in Patent Document 1, since the information on the economic value related to the decarbonization of the above-mentioned enterprise is estimated by the enterprise and the financial institution, the information may include information based on a qualitative judgment by a personal approach.

[0005] The present disclosure has been made to solve the above problems, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of supporting, from a quantitative perspective, the consideration work when specifically considering what GHG reduction activities an enterprise can take.

Means for Solving the Problems

[0006] The information processing apparatus according to the present disclosure includes a data acquisition unit that acquires time-series data related to the GHG emissions of a user enterprise, and based on the time-series data acquired by the data acquisition unit, the GHG reduction amount in an arbitrary specified period, which is The user can arbitrary specify for a reduction amount calculation unit that calculates the reduction amount with respect to the GHG emissions in the reference period, the GHG emissions in the reference period, and the GHG reduction amount in the specified period calculated by the reduction amount calculation unit the GHG emissions during the specified period and and a display data generation unit that generates data indicating a screen for comparing and displaying them a screen on which a first graph showing the GHG emissions during the reference period and a second graph showing the GHG emissions during the specified period with the GHG reduction amounts during the specified period stacked thereon are displayed side by side and a display control unit that causes the screen indicated by the data generated by the display data generation unit to be displayed on the display unit of the user terminal.

Advantages of the Invention

[0007] According to the present disclosure, since it is configured as described above, it becomes possible to support, from a quantitative perspective, the consideration work when specifically considering what GHG reduction activities an enterprise can take.

Brief Description of the Drawings

[0008]

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Embodiments for Carrying Out the Invention

[0009] Embodiment 1. FIG. 1 is a block diagram showing a configuration example of the information processing system according to the present disclosure. As shown in FIG. 1, the information processing system is a system in which the information processing apparatus 100 and the user terminal UT are connected via the Internet. In FIG. 1, three user terminals UT are shown, but the number of user terminals UT may be any number of 1 or more. Also, in FIG. 1, the information processing apparatus 100 and the user terminal UT are connected via the Internet, but this connection is not limited to the Internet, and any telecommunication line may be used.

[0010] In the following description, the information processing apparatus 100 is a system for GHG accounting and auditing related to climate change. By using this apparatus, a company can understand the balance between GHG emissions and suppression in its own company or supply chain, as well as environmental performance, and obtain improvement measures for these aspects.

[0011] Also, in the following description, as actions taken by user companies, the terms "decarbonization actions", "actions that can be taken to reduce GHG emissions (emission reduction actions)", and "climate-related actions" are used. These terms are related to each other, but conceptually, "climate-related actions" is the broadest and includes "decarbonization actions" and "emission reduction actions". Also, "emission reduction actions" is a concept that includes "decarbonization actions". Also, depending on the business status of an organization, for example, it is assumed that GHG emissions may increase due to rapid business expansion. However, in the following description, "reduction amount of emissions" also includes the meaning of the difference in the increase or decrease of emissions.

[0012] <Information processing apparatus 100> The information processing apparatus 100 supports the consideration work from a quantitative perspective when considering what GHG reduction activities a company (hereinafter referred to as the "user company") to which a user belongs can take. As shown in FIG. 1, for example, the information processing apparatus 100 includes a data acquisition unit 110, a reduction amount calculation unit 120, a display data generation unit 130, a display control unit 140, and a storage unit 150. Note that the information processing apparatus 100 is not limited to this configuration, and the storage unit 150 may be provided by an external device that can be communicatively connected to the information processing apparatus 100, such as a server managed by the user company.

[0013] The information processing apparatus 100 provides a service according to the present disclosure, that is, a service (hereinafter referred to as the "reduction activity consideration support service") that supports the consideration work from a quantitative perspective when considering what GHG reduction activities a user company can take, to the user. The information processing apparatus 100 is an arbitrary computer such as, for example, a server or a terminal used by a user. Here, the provision of the reduction activity consideration support service may be performed, for example, in the form of SaaS (Software as a Service). In this case, the information processing apparatus 100 is owned or managed by a provider of the reduction activity consideration support service (hereinafter referred to as the "service provider"). In the following description, a case where the information processing apparatus 100 according to the present disclosure is a server owned or managed by a service provider, for example, and the information processing apparatus 100 includes the storage unit 150 will be described in detail.

[0014] <Storage unit 150> The storage unit 150 stores time-series data (hereinafter referred to as "emission data") regarding the GHG emissions of companies including user companies for each company. The storage unit 150 is configured by, for example, an HDD (Hard Disc Drive) or an SSD (Solid State Drive), online storage, a cloud, a data center, or a system of a greenhouse gas emission visualization service provider.

[0015] The emission data is data that records the GHG emissions emitted by a company in the past in time series. The emission data can be created and stored in a predetermined period unit such as, for example, an annual unit, a monthly unit, or a quarterly unit. The company can arbitrarily set in what period unit the emission data is created and stored in the storage unit 150.

[0016] In addition, the emission data can be stored in the storage unit 150, for example, classified by each scope. FIG. 2 is a diagram showing an example of scopes. For example, as shown in FIG. 2, Scope 1 is so-called direct emissions, which are GHGs directly emitted from activities that the enterprise can control by itself. Scope 2 is so-called indirect emissions, which are GHGs emitted, for example, when the enterprise generates electricity, heat, steam, etc. Scope 3 is indirect emissions excluding Scope 2, which are GHGs emitted throughout the supply chain in relation to the activities of the enterprise, for example. Scope 3 is further classified into 15 categories, for example, as shown in FIG. 2. The emission data stored in the storage unit 150 may be classified by each of these scopes, or the emission data corresponding to Scope 3 may be classified by each of the above-mentioned 15 categories.

[0017] The emission data for each enterprise can be stored in the storage unit 150, for example, as follows. For example, the user uploads the time-series data (emission data) regarding the GHG emissions in the company, which is stored in a server or the like managed by the company, to the information processing device 100 by operating the user terminal UT. In the information processing device 100, for example, a reception unit (not shown) receives the uploaded emission data of the user enterprise and stores the received emission data of the user enterprise in the storage unit 150. Note that the user may upload the emission data of the company to the information processing device 100 via an existing GHG emission calculation system introduced in the user terminal UT. That is, the information processing device 100 may be configured to be able to perform data linkage with an existing GHG emission calculation system introduced in the user enterprise.

[0018] Alternatively, the data collection unit (not shown) provided in the information processing device 100 may collect the emission data by transmitting a signal indicating a request for output of the emission data to the user terminal UT at a predetermined timing. Then, the user terminal UT that has received a signal indicating a collection request may upload the emission data stored in a server or the like managed by the user's own company at the time when the signal is received to the information processing apparatus 100. The predetermined timing may be, for example, for each period unit of the reference period adopted by the user company. In the information processing apparatus 100, a reception unit (not shown) may receive the uploaded emission data of the user company and store the received emission data of the user company in the storage unit 150.

[0019] The reference period refers to, for example, a specific period that serves as a comparison reference when setting a GHG reduction target. Based on the emissions during this reference period, subsequent reduction targets are set. In Japan, although many cases set 2013 as the base year, in the first embodiment, the base year is not limited to 2013 and may be arbitrarily set by the user company. Also, the period unit of the reference period is not limited to years, and for example, months, days, or quarters may be set.

[0020] Note that the storage unit 150 may store the financial information of each company in addition to the emission data of each company. Also, in the above description, an example where the emission data of each company is stored in the storage unit 150 has been described, but the emission data of each company is not limited to this, and for example, it may be stored in a functional unit other than the storage unit 150 by means of a blockchain mechanism.

[0021] <Data acquisition unit 110> The data acquisition unit 110 acquires time-series data (emission data) regarding the GHG emissions in the user company. For example, the data acquisition unit 110 acquires the emission data in the user company from the emission data of each company stored in the storage unit 150.

[0022] The user can operate the user terminal UT to access the information processing apparatus 100 and cause a display unit (not shown) of the user terminal UT to display a screen for using the reduction action consideration support service. For example, when the reduction action consideration support service is provided in the form of SaaS, the screen is displayed on a browser. For example, a period input window can be displayed on the screen. The user can operate the user terminal UT to input an arbitrary reference period and an arbitrary specified period into this period input window. When the user inputs an arbitrary reference period and an arbitrary specified period into the period input window, the user terminal UT transmits data indicating each period input by the user to the information processing apparatus 100. Here, the specified period refers to a period to be compared with the reference period. Note that the reference period adopted by the company may be input by default in the period input window.

[0023] For example, the user operates the user terminal UT to input an arbitrary reference period and an arbitrary specified period into the period input window, and inputs an instruction to compare and display the GHG emission amount in the reference period and the GHG reduction amount in the specified period in the units of the reference period and the specified period into the period input window. When each of the above periods and the comparison display instruction are input into the period input window by the user, the user terminal UT transmits data indicating each of the above periods and the comparison display instruction to the information processing apparatus 100. A reception unit (not shown) of the information processing apparatus 100 receives the data indicating each of the above periods and the comparison display instruction transmitted from the user terminal UT. When the data is received by the reception unit, the data acquisition unit 110 acquires the emission amount data of the user company from the emission amount data of each company stored in the storage unit 150 and outputs the acquired emission amount data to the reduction amount calculation unit 120. Note that the data indicating each of the above periods also includes information for identifying the company (user company) to which the user who transmitted the data belongs.

[0024] <Reduction amount calculation unit 120> The reduction amount calculation unit 120 acquires the emission data of the user company from the data acquisition unit 110. When the reduction amount calculation unit 120 acquires the emission data of the user company from the data acquisition unit 110, based on the acquired emission data (time series data), it calculates the reduction amount of GHG during the specified period, which is the reduction amount relative to the GHG emission amount during the reference period.

[0025] For example, the reduction amount calculation unit 120 identifies the GHG emission amount during the reference period and the GHG emission amount during the specified period from the emission data acquired from the data acquisition unit 110. Then, the reduction amount calculation unit 120 calculates the reduction amount of GHG during the specified period, which is the reduction amount relative to the GHG emission amount during the reference period, by subtracting the GHG emission amount during the specified period from the identified GHG emission amount during the reference period. The reduction amount calculation unit 120 outputs the data indicating the reduction amount of GHG during the specified period and the data indicating the GHG emission amount during the reference period to the display data generation unit 130.

[0026] <Display data generation unit 130> The display data generation unit 130 acquires the data indicating the reduction amount of GHG during the specified period, the data indicating the GHG emission amount during the reference period, and the data indicating the GHG emission amount during the specified period from the reduction amount calculation unit 120. When the display data generation unit 130 acquires these data, it generates data indicating a display screen (hereinafter referred to as the "comparative display screen") for comparing and displaying the GHG emission amount during the reference period and the reduction amount of GHG during the specified period calculated by the reduction amount calculation unit 120.

[0027] In the comparison display screen, in addition to the GHG emissions during the reference period and the GHG reduction amount during the specified period, the GHG emissions during the specified period may also be displayed. In that case, the reduction amount calculation unit 120 outputs data indicating the GHG emissions during the specified period to the display data generation unit 130, and the display data generation unit 130 may generate a comparison display screen by further using the data indicating the GHG emissions during the specified period acquired from the reduction amount calculation unit 120. The display data generation unit 130 outputs data indicating the generated comparison display screen to the display control unit 140.

[0028] <display control unit 140> The display control unit 140 acquires data indicating the comparison display screen from the display data generation unit 130. When the display control unit 140 acquires data indicating the comparison display screen from the display data generation unit 130, the display control unit 140 causes the display unit of the user terminal UT to display the comparison display screen indicated by the acquired data. For example, the display control unit 140 causes the display unit of the user terminal UT to display the comparison display screen indicated by the acquired data by transmitting the data acquired from the display data generation unit 130 to the user terminal UT.

[0029] Next, an operation example of the information processing apparatus 100 shown in FIG. 1 will be described. FIG. 3 is a flowchart showing an operation example of the information processing apparatus 100. Prior to the start of the flowchart shown in FIG. 3, it is assumed that the reception unit of the information processing apparatus 100 has received data indicating the reference period and the specified period, as well as data indicating a comparison display instruction, transmitted from the user terminal UT. Also, in the following description, it is assumed that the user company uses 2013 as the reference year, and the user sets 2013 as an arbitrary reference period. Also, in the following description, it is assumed that the user sets 2030 as an arbitrary specified period.

[0030] First, the data acquisition unit 110 acquires time-series data (emission data) regarding the GHG emissions of the user company (step ST1). For example, the data acquisition unit 110 acquires the emission data of the user company from the emission data for each company stored in the storage unit 150. The data acquisition unit 110 outputs the acquired emission data to the reduction amount calculation unit 120.

[0031] Next, the reduction amount calculation unit 120 calculates the reduction amount of GHG in an arbitrary specified period, which is the reduction amount relative to the GHG emissions in an arbitrary reference period, based on the time-series data acquired by the data acquisition unit 110 (step ST2). For example, the reduction amount calculation unit 120 identifies the GHG emissions in the reference period and the GHG emissions in the specified period from the emission data acquired from the data acquisition unit 110, and subtracts the GHG emissions in the specified period from the GHG emissions in the identified reference period to calculate the reduction amount of GHG in the specified period, which is the reduction amount relative to the GHG emissions in the reference period. The reduction amount calculation unit 120 outputs the data indicating the calculated reduction amount of GHG in the specified period and the data indicating the GHG emissions in the reference period to the display data generation unit 130.

[0032] Next, the display data generation unit 130 generates data indicating a screen (comparative display screen) for comparatively displaying the GHG emissions in an arbitrary reference period and the reduction amount of GHG in an arbitrary specified period calculated by the reduction amount calculation unit 120 (step ST3). The display data generation unit 130 outputs the generated data indicating the comparative display screen to the display control unit 140.

[0033] Next, the display control unit 140 causes the display unit of the user terminal UT to display the comparative display screen indicated by the data generated by the display data generation unit 130 (step ST4).

[0034] FIG. 4 is a diagram showing an example of a comparison display screen. As shown in FIG. 4, on the comparison display screen, the GHG emissions of the user company in 2013, which is the base year (base GHG emissions), and the GHG reduction amount of the user company in 2030 (displayed as "countermeasure amount" in FIG. 3) based on the GHG emissions of this year are displayed in a comparable manner. In addition, in FIG. 4, the GHG emissions of the user company in 2030 are also displayed. Further, in FIG. 4, the breakdown of each emission amount and reduction amount for each scope is also displayed.

[0035] Note that, for the GHG reduction amount (countermeasure amount) of the user company in 2030 shown in FIG. 4, the reduction amounts that the user company has successfully reduced GHG in each year from 2013, which is the base year, to 2030 may be aggregated as specific reduction amounts. In that case, for example, the reduction amount calculation unit 120 calculates the difference between the GHG emissions in each year from 2013, which is the base year, to 2030 and the GHG emissions in the year before each of those years based on the time-series data acquired by the data acquisition unit 110, and aggregates those differences to calculate the total (specific reduction amount) of the reduction amounts that the user company has successfully reduced GHG in each year from 2013 to 2030. Then, the display data generation unit 130 may generate data showing the comparison display screen after aggregating the specific reduction amount calculated by the reduction amount calculation unit 120 into the GHG reduction amount in 2030. Also, in that case, the display data generation unit 130 may generate data showing the comparison display screen indicating how much the aggregated specific reduction amount is specifically. Thereby, the user can easily grasp not only the GHG reduction amount of the user company in 2030 based on the base GHG emissions in 2013 but also how much GHG reduction the user company has achieved in each year from 2013, which is the base year, to 2030.

[0036] FIG. 5 is a diagram showing an example of generalizing the comparison display screen shown in FIG. 4. As shown in FIG. 5, in the comparison display screen, the GHG emissions in the reference period are displayed on the left side, and the GHG reduction amount and emission amount in the specified period (displayed as "current period" in FIG. 5) are displayed on the right side.

[0037] In addition, as shown in FIG. 5, the GHG reduction amount (countermeasure amount) of the user company in the specified period (2030) displayed in FIG. 4 may include, for example, the offset amount based on the offset activities implemented by the user company during the specified period. In that case, the display data generation unit 130 may, for example, acquire data indicating the offset amount based on the offset activities implemented by the user company during the specified period from the user terminal UT, and use the acquired data to generate data showing the comparison display screen. Note that the time-series data indicating the offset amount based on the offset activities implemented by the user company may be stored in the storage unit 150 in advance. In that case, the display data generation unit 130 may use the time-series data of the offset amount stored in the storage unit 150 in advance to generate data showing the comparison display screen.

[0038] As described above, the comparison display screen compares and displays the GHG emissions in an arbitrary reference period and the GHG reduction amount in an arbitrary specified period in units of the reference period and the specified period (for example, year, month, quarter, etc.). On the other hand, the information processing apparatus 100 can also present a time-series display screen to the user. The time-series display screen is, for example, a screen that shows how the GHG emissions change over time with respect to the GHG emissions in the reference period of the user company as a reference.

[0039] FIG. 6 is a diagram showing an example of a time-series display screen. As shown in FIG. 6, in the time-series display screen, the GHG emissions (reference GHG emissions) of the user company in the reference year 2013 and the transition of the GHG emissions of the user company up to an arbitrary specified period (here, 2050) based on the reference GHG emissions are displayed in a visible manner. Further, in FIG. 6, the offset amounts achieved by the offset activities implemented by the user company from 2013, which is the reference year, to 2050 are displayed annually. In FIG. 6, the GHG emissions in 2050 and the offset amount in 2050 are approximately equal. This means that zero actual emissions have been achieved in 2050.

[0040] Note that in the example of FIG. 6, an example is shown in which the specified period, that is, the end point of the time series, is 2050. However, this specified period is not limited to 2050 and can be arbitrarily set by the user. For example, the user operates the user terminal UT to input an arbitrary reference period and an arbitrary specified period into the period input window, and inputs an instruction to the effect that how the GHG emissions change up to the specified period with respect to the GHG emissions in the reference period into the period input window. When each of the above periods and instructions is input into the period input window by the user, the user terminal UT transmits data indicating each of the above periods and instructions to the information processing apparatus 100. A reception unit (not shown) of the information processing apparatus 100 receives the data indicating each of the above periods and instructions transmitted from the user terminal UT. When the data is received by the reception unit, the data acquisition unit 110 acquires the emission data of the user company from the emission data of each company stored in the storage unit 150, and outputs the acquired emission data to the display data generation unit 130. The display data generation unit 130 acquires the emission data from the data acquisition unit 110 and generates data indicating a time-series display screen based on the acquired emission data.

[0041] In addition, as shown in FIG. 6, in addition to the time-series change in the GHG emissions of the user company, the time-series change in the offset amount based on the offset activities of the user company may be displayed. In that case, for example, the display data generation unit 130 acquires data indicating the offset amount based on the offset activities performed by the user company by the specified period from the user terminal UT, and uses the acquired data to generate data indicating the time-series display screen. Then, the display control unit 140 may cause the display unit of the user terminal UT to display the time-series display screen indicated by the data generated by the display data generation unit 130. Note that the time-series data indicating the offset amount based on the offset activities performed by the user company may be stored in the storage unit 150 in advance. In that case, the display data generation unit 130 may generate data indicating the time-series display screen using the time-series data of the offset amount stored in the storage unit 150 in advance. With such a display, the user can easily grasp the transition of the GHG emissions and the transition of the offset amount in the user company.

[0042] <Effects of the information processing apparatus 100> Next, the effects of the information processing apparatus 100 according to Embodiment 1 will be described. As described above, the information processing apparatus 100 includes the data acquisition unit 110, the reduction amount calculation unit 120, the display data generation unit 130, and the display control unit 140. Thereby, the information processing apparatus 100 can support the consideration work from a quantitative point of view when specifically considering what kind of GHG reduction activities the user company can take. For example, the user can specifically consider what kind of GHG reduction activities the user company can take by checking the comparison display screen provided by the information processing apparatus 100.

[0043] In particular, the comparison display screen and the time-series display screen provided to the user by the information processing apparatus 100 are basically generated based on the time-series data (emission data) regarding the GHG emissions in the user company, which is acquired by the data acquisition unit 110. In the generation process, so-called personal approaches are not involved. Therefore, the user can quantitatively grasp the balance between the GHG emissions and reduction amounts in the user company, and can use it for considering specific GHG reduction activities in the user company.

[0044] FIG. 7 is a diagram showing the hardware configuration 300 of the information processing apparatus 100 according to the present disclosure. As shown in FIG. 7, the hardware configuration 300 of the information processing apparatus 100 includes a communication interface 310, an input / output interface 320, a processor 330, and a memory 340.

[0045] The data acquisition unit 110, the reduction amount calculation unit 120, the display data generation unit 130, and the display control unit 140 that constitute the information processing apparatus 100 according to the present disclosure are realized by a processing circuit. That is, the information processing apparatus 100 includes a processing circuit for executing each of the steps ST1 to ST4 shown in FIG. 3. The processing circuit is a processor 330 (also referred to as a CPU, a central processing unit, a processing device, an arithmetic device, a microprocessor, a microcomputer, a DSP) that executes an information processing program stored in the memory 340.

[0046] The functions of the data acquisition unit 110, the reduction amount calculation unit 120, the display data generation unit 130, and the display control unit 140 are realized by software, firmware, or a combination of software and firmware. The software and firmware are described as information processing programs and stored in the memory 340. The processing circuit realizes the functions of each unit by reading and executing the information processing program stored in the memory 340. That is, the information processing apparatus 100 includes a memory 340 for storing an information processing program that, when executed by the processing circuit, causes each step from step ST1 to step ST4 shown in FIG. 3 to be executed as a result. Also, it can be said that these information processing programs cause a computer to execute the procedures or methods of each step from step ST1 to step ST4 shown in FIG. 3. Here, the memory 340 may be a non-volatile or volatile semiconductor memory such as a RAM, ROM, flash memory, or EPROM. Also, the memory 340 may be configured to include a disk such as a magnetic disk, flexible disk, optical disk, compact disk, mini disk, or DVD. Furthermore, the memory 340 may be in the form of an HDD or SSD.

[0047] As described above, according to this first embodiment, the information processing apparatus 100 includes a data acquisition unit 110 that acquires time-series data regarding the GHG emissions of a user company, a reduction amount calculation unit 120 that calculates, based on the time-series data acquired by the data acquisition unit 110, the reduction amount of GHG in an arbitrary specified period, which is the reduction amount with respect to the GHG emissions in an arbitrary reference period, a display data generation unit 130 that generates data indicating a screen for comparing and displaying the GHG emissions in an arbitrary reference period and the reduction amount of GHG in an arbitrary specified period calculated by the reduction amount calculation unit 120, and a display control unit 140 that causes the screen indicated by the data generated by the display data generation unit 130 to be displayed on the display unit of the user terminal UT. Thereby, the information processing apparatus 100 can support the consideration work when specifically considering what kind of GHG reduction activities a user company can take from a quantitative perspective.

[0048] In addition, in response to an instruction from the user terminal UT, the display data generation unit 130 generates data indicating a screen that compares and displays the GHG emissions in an arbitrary reference period and the GHG reduction amount in an arbitrary specified period in units of the reference period and the specified period. As a result, the information processing apparatus 100 can present the user with a comparison display screen generated in units of the reference period and the specified period.

[0049] In addition, in response to an instruction from the user terminal UT, the display data generation unit 130 generates data indicating a time-series display screen that shows how the GHG emissions change over time with respect to the GHG emissions in an arbitrary reference period in the user company as a reference. The display control unit 140 causes the display unit of the user terminal UT to display the time-series display screen indicated by the data generated by the display data generation unit 130. As a result, the information processing apparatus 100 can present the user with a time-series display screen that shows how the GHG emissions change over time.

[0050] In addition, the display data generation unit 130 generates data indicating a time-series display screen that shows how the offset amount based on the user company's offset activities changes over time in addition to how the GHG emissions change over time with respect to the reference GHG emissions. As a result, the information processing apparatus 100 can present the user with a time-series display screen that shows how the offset amount changes over time in addition to the GHG emissions.

[0051] Embodiment 2. In Embodiment 1, the information processing apparatus 100 that can support the consideration work from a quantitative perspective when specifically considering what GHG reduction activities a user company can take was described. In Embodiment 2, the information processing apparatus 100b that can propose actions that a user company can take to reduce the GHG emissions will be described.

[0052] A configuration example of the information processing apparatus 100b according to Embodiment 2 is shown in FIG. 8. As shown in FIG. 8, the configuration example of the information processing apparatus 100b according to Embodiment 2 is obtained by changing the data acquisition unit 110 to the data acquisition unit 110b, the display data generation unit 130 to the display data generation unit 130b, the display control unit 140 to the display control unit 140b, and adding the behavior identification unit 160 and the enterprise cooperation unit 170 to the information processing apparatus 100 according to Embodiment 1 shown in FIG. 1. Since other configurations of the information processing apparatus 100b according to Embodiment 2 are the same as those of the information processing apparatus 100 according to Embodiment 1 shown in FIG. 1, the same reference numerals are given and the description thereof is omitted.

[0053] The data acquisition unit 110b acquires time-series data (emission data) regarding the GHG emissions of the user enterprise. For example, when the data indicating the above-mentioned reference period and specified period, and the data indicating the comparison display instruction transmitted from the user terminal UT are received by the reception unit, the data acquisition unit 110b acquires the emission data of the user enterprise from the emission data of each enterprise stored in the storage unit 150. The data acquisition unit 110b outputs the acquired emission data to the reduction amount calculation unit 120 and the behavior identification unit 160.

[0054] The behavior identification unit 160 acquires emission data from the data acquisition unit 110. When the behavior identification unit 160 acquires emission data from the data acquisition unit 110, it uses the acquired emission data (time-series data) to identify actions that the user enterprise can take to reduce GHG emissions (hereinafter referred to as "emission reduction actions"). For example, the behavior identification unit 160 inputs the time-series data acquired by the data acquisition unit 110 into a machine learning model (not shown), and acquires data regarding emission reduction actions output from the machine learning model, thereby identifying emission reduction actions in the user enterprise.

[0055] The above machine learning model may be constituted by, for example, an artificial neural network, and there may be a plurality of them. Further, when there are a plurality of machine learning models, the machine learning models may include a large language model (LLM). The machine learning model in this case is a machine learning model trained to output data related to emission reduction actions as an answer when given, as inputs, the above-described time-series data and a predetermined prompt. In this case, the predetermined prompt may include, for example, an instruction to cause the machine learning model to identify actions that the user company can take to reduce GHG emissions based on the above-described time-series data. Further, in this case, the predetermined prompt may include, for example, an instruction to identify the above-described actions for each scope, or an instruction to identify a plurality of the above-described actions in ascending order of cost.

[0056] The machine learning model including the large language model may be provided in an external server or in the information processing apparatus 100. Further, as the large language model, for example, an existing large language model provided as a service by an external server may be used. In this case, the information processing apparatus 100 can input a predetermined prompt to the large language model and obtain a response to the input from the large language model by API (Application Programming Interface) cooperation.

[0057] The machine learning model generates data related to emission reduction actions based on the given prompt and outputs the generated data to the information processing apparatus 100. The action identification unit 160 of the information processing apparatus 100 acquires the data related to the emission reduction actions output from the machine learning model. When the action identification unit 160 acquires the data related to the emission reduction actions from the machine learning model, the acquired data is output to the display data generation unit 130b and the company cooperation unit 170.

[0058] The display data generation unit 130b acquires data related to the emission reduction actions from the action identification unit 160. When the display data generation unit 130b acquires data related to the emission reduction actions from the action identification unit 160, it generates data for displaying the actions specified by the acquired data and outputs the generated data to the display control unit 140b.

[0059] The display control unit 140b acquires data for displaying the above actions from the display data generation unit 130. When the display control unit 140b acquires data for displaying the above actions from the display data generation unit 130, it causes the actions specified by the acquired data to be displayed on the display unit of the user terminal UT. For example, the display control unit 140b causes the actions specified by the data to be displayed on the display unit of the user terminal UT by transmitting the data acquired from the display data generation unit 130 to the user terminal UT.

[0060] The enterprise cooperation unit 170 acquires data related to the emission reduction actions from the action identification unit 160. When the enterprise cooperation unit 170 acquires data related to the emission reduction actions from the action identification unit 160, it selects an enterprise that provides services related to the actions specified by the acquired data in response to an instruction from the user terminal UT and communicates with the platform of the selected enterprise.

[0061] For example, when the user checks the emission reduction actions displayed on the display unit of the user terminal UT, the user operates the user terminal UT to input an instruction to select an enterprise that provides services related to the emission reduction actions. When the instruction is input, the user terminal UT generates data indicating the instruction and transmits the generated data to the information processing apparatus 100. In the information processing apparatus 100, the enterprise cooperation unit 170 receives the data, and in response to receiving this data, selects an enterprise that provides services related to the emission reduction actions and communicates with the platform of the selected enterprise.

[0062] In this case, the enterprises selected by the enterprise cooperation department 170 are, for example, enterprises that sell countermeasure solutions related to GHG reduction, such as enterprises that sell biofuels, renewable energy, REC (Renewable Energy Certificate), or carbon credits. The enterprise cooperation department 170 may select enterprises that provide services related to the above-mentioned actions by referring to a pre-prepared cooperation enterprise table (not shown). The cooperation enterprise table is, for example, a table that associates the actions that a user enterprise can take to reduce its GHG emissions with the enterprises that provide services related to such actions. The cooperation enterprise table may be pre-created by a service provider and stored in the storage unit 150.

[0063] Alternatively, the enterprise cooperation department 170 may select enterprises that provide services related to the above-mentioned actions by using a predetermined machine learning model. In this case, the machine learning model may be a machine learning model that has been pre-trained to output, for an input of data related to emission reduction actions, the enterprises that provide services related to the actions specified by the data.

[0064] Also, when the action identification unit 160 has identified, for each scope, the actions that a user enterprise can take to reduce its GHG emissions, the enterprise cooperation department 170 may select enterprises for each scope. For example, for actions related to Scope 1, the enterprise cooperation department 170 may select enterprises that sell biofuels; for actions related to Scope 2, the enterprise cooperation department 170 may select enterprises that sell renewable energy or REC; and for actions related to Scope 3, the enterprise cooperation department 170 may select enterprises that sell carbon credits through J-Credit, VER (Voluntary Emission Reduction), JCM (Joint Crediting Mechanism), etc. In addition, the corporate collaboration department 170 may select, for example, companies dealing with the sale of raw materials or modal shift, or companies conducting recycling businesses.

[0065] The information processing apparatus 100b according to the second embodiment is configured as described above, and can propose to the user actions that the user company can take to reduce the GHG emissions. Further, the information processing apparatus 100b selects a company that provides services related to actions that the user company can take to reduce the GHG emissions in response to an instruction from the user terminal UT, and performs so-called platform matching by communicating with the platform of the selected company. Therefore, the user can consider the GHG reduction actions in the user company with reference to the proposed actions. In addition, the user can promptly cooperate with a company that provides services optimal for the GHG reduction actions through platform matching.

[0066] As described above, according to the second embodiment, the information processing apparatus 100b includes an action specifying unit 160 that specifies actions that the user company can take to reduce the GHG emissions using the time-series data acquired by the data acquisition unit 110b. The display data generation unit 130b generates data for displaying the actions specified by the action specifying unit 160, and the display control unit 140b causes the display unit of the user terminal UT to display the actions indicated by the data generated by the display data generation unit 130b. Thereby, in addition to the effects of the first embodiment, the information processing apparatus 100b can propose to the user actions that the user company can take to reduce the GHG emissions. Further, the user can consider the GHG reduction actions in the user company with reference to the proposed actions.

[0067] In addition, in response to an instruction from the user terminal UT, the information processing apparatus 100b includes an enterprise cooperation unit 170 that selects an enterprise that provides services related to the actions identified by the action identification unit 160 and communicates with the platform of the selected enterprise. As a result, the information processing apparatus 100b can perform platform matching to select an enterprise that provides services related to actions that the user enterprise can take to reduce GHG emissions and communicate with the platform of the selected enterprise. Also, the user can promptly cooperate with an enterprise that provides services optimal for GHG reduction actions through platform matching.

[0068] Embodiment 3. In Embodiment 1, the information processing apparatus 100 that can support the consideration work from a quantitative perspective when specifically considering what GHG reduction activities the user enterprise can take was described. In Embodiment 3, an information processing apparatus 100c that can generate data indicating documents used in an audit by a predetermined auditing institution and output the generated data will be described.

[0069] A configuration example of the information processing apparatus 100c according to Embodiment 3 is shown in FIG. 9. As shown in FIG. 9, in the configuration example of the information processing apparatus 100c according to Embodiment 3, for the information processing apparatus 100 according to Embodiment 1 shown in FIG. 1, the data acquisition unit 110 is changed to a data acquisition unit 110c, and a document data generation unit 180 and an output unit 190 are added. Since the other configurations of the information processing apparatus 100c according to Embodiment 3 are the same as those of the information processing apparatus 100 according to Embodiment 1 shown in FIG. 1, the same reference numerals are given and the description thereof is omitted.

[0070] The data acquisition unit 110c acquires time-series data (emission data) regarding the GHG emissions of the user company. For example, when the data indicating the above-mentioned reference period and specified period, as well as the data indicating the comparison display instruction transmitted from the user terminal UT, are received by the reception unit, the data acquisition unit 110c acquires the emission data of the user company from the emission data of each company stored in the storage unit 150. The data acquisition unit 110c outputs the acquired emission data to the reduction amount calculation unit 120 and the document data generation unit 180.

[0071] The document data generation unit 180 acquires emission data from the data acquisition unit 110. When the document data generation unit 180 acquires emission data from the data acquisition unit 110, it generates data indicating a document used for an audit by a predetermined auditing institution using the acquired emission data (time-series data). Examples of the predetermined auditing institutions include international auditing corporations, or institutions and enterprises that conduct audits of non-financial information, such as Deloitte, EY (Ernst & Young), KPMG, PwC (PricewaterhouseCoopers), and the like.

[0072] This device provides a system for auditing regarding climate change and is one of the environmental auditing methodologies that can promote an understanding in accordance with the standards of ISO (International Organization for Standardization), CDP (Carbon Disclosure Project), TCFD (Task Force on Climate-related Financial Disclosures), or the laws and policies regarding the environment and climate of each country, etc., at its own company or supplier sites (such as factories or business bases). By using this device, it is possible to understand and improve the GHG emission reduction balance and environmental performance in its own company or supply chain.

[0073] The audit by this device is carried out by an approved auditing institution, and an improvement measure plan is provided by the auditing institution after the audit. This enables the enterprise to understand the areas that need improvement. This device aims to promote sustainable environmental measures and maintain its organization and the environment such as the atmosphere, land, and ocean. The audit criteria are designed based on international standards such as the carbon neutrality criteria defined by the International Organization for Standardization (ISO) or the questionnaires of CDP, and are determined through consultations among stakeholders including member enterprises. The introduction of this device brings benefits to enterprises, such as enabling them to gain confidence in, for example, cooperating with sustainable business partners, and to have a deeper understanding of the social and environmental performance of their own companies or suppliers.

[0074] The audit by this device can be carried out, for example, by the following four methods. Among them, third-party audits are currently the mainstream. (1) System audit (AI audit): It is possible to load the data required for large language models and receive an evaluation of emissions reduction and proposals for improvement activities. (2) First-party audit (internal audit): It refers to the personnel within the organization auditing their own organization. By conducting this, improvement points can be identified and corrected before an external audit. (3) Second-party audit (external audit): It refers to the customer (buyer) auditing the business partner (supplier). By conducting this, the areas that require improvement activities can be identified and corrected together with the customer. (4) Third-party audit (external audit): It refers to an independent third-party organization, registration institution, and certification institution conducting the audit. This method is recognized as a more fair method and is widely used by many members.

[0075] The document data generation unit 180 generates data indicating a document used for an audit by a predetermined audit institution, based on the time-series data acquired from the data acquisition unit 110, in accordance with a predetermined format defined by, for example, ISO, CDP, TCFD, etc. In this case, the data indicating the predetermined format may be generated in advance for each audit institution and stored in a storage unit (not shown) that can be referred to by the document data generation unit 180. Also, for example, the user may instruct the information processing apparatus 100 using the user terminal UT as to which format for which audit institution to use.

[0076] The output unit 190 outputs the data generated by the document data generation unit 180.

[0077] The information processing apparatus 100c according to Embodiment 3 is configured as described above, and thus can generate data indicating a document used for an audit by a predetermined audit institution and output the generated data. Therefore, the user can omit the trouble of creating the document used for the audit by themselves, and the work load is reduced compared to the case of creating the document by themselves.

[0078] As described above, according to this Embodiment 3, the information processing apparatus 100c includes a document data generation unit 180 that generates data indicating a document used for an audit by a predetermined audit institution, using the time-series data acquired by the data acquisition unit 110, and an output unit 190 that outputs the data generated by the document data generation unit 180. Thereby, in addition to the effects of Embodiment 1, the information processing apparatus 100c can generate data indicating a document used for an audit by a predetermined audit institution and output the generated data. Also, thereby, the user can omit the trouble of creating the document used for the audit by themselves, and the work load is reduced compared to the case of creating the document by themselves.

[0079] Embodiment 4. In Embodiment 1, an information processing apparatus 100 that can support the consideration work when specifically considering what kind of GHG reduction activities a user company can take from a quantitative perspective was described. In Embodiment 4, an information processing apparatus 100d that can support a so-called life cycle assessment that evaluates the impact on the environment throughout the entire process from the birth to the use and final disposal of a product or service of a user company will be described. That is, in Embodiment 1, the focus was on the evaluation of the GHG emission status of the entire company, whereas in Embodiment 4, the focus is on the evaluation of how a product or service affects the environment throughout its life cycle.

[0080] A configuration example of the information processing apparatus 100d according to Embodiment 4 is shown in FIG. 10. As shown in FIG. 10, the configuration example of the information processing apparatus 100d according to Embodiment 4 has an additional situation determination unit 200, a reduction ratio calculation unit 210, an evaluation criterion generation unit 220, and a climate-related action evaluation unit 230 compared to the information processing apparatus 100 according to Embodiment 1 shown in FIG. 1. Since the other configurations of the information processing apparatus 100d according to Embodiment 4 are the same as those of the information processing apparatus 100 according to Embodiment 1 shown in FIG. 1, the same reference numerals are given and the description thereof is omitted.

[0081] The situation determination unit 200 determines the GHG emission status related to at least one of the event activities of the user company or the life cycle of the products of the user company and the decarbonization action status of the user company based on the financial information of the user company or the time-series data on the GHG emissions of the user company calculated by the GHG emission calculation program. Here, the financial information of the user company or the time-series data on the GHG emissions of the user company calculated by the GHG emission calculation program may be, for example, time-series data on the GHG emissions occurring in the life cycle of the event activities of the user company or the life cycle of the products of the user company, and the time-series data may be stored in, for example, the storage unit 150.

[0082] In addition, when determining the GHG emission situation regarding the event activities of the user company, for example, information such as the scale of the event, the energy used in the event, and the means of transportation of the event participants may be considered. In addition, when determining the GHG emission situation regarding the life cycle of the user company's products, for example, data on GHG emissions in each stage of product raw material procurement, manufacturing, transportation, use, and disposal may be considered. In addition, the decarbonization action situation in the user company may be, for example, the introduction situation of renewable energy in the user company or the utilization situation of carbon credits.

[0083] As a specific determination method by the situation determination unit 200, for example, there is a method of comparing the GHG emissions of each life cycle of an event or a product with a predetermined reference value and making a determination based on whether the GHG emissions exceed the reference value. The reference value may be calculated, for example, from the average of GHG emissions in the business field to which the user company belongs or the actual performance value of past GHG emissions in the user company. In addition, when determining the decarbonization action situation in the user company, for example, it may be determined whether the results of the decarbonization actions in the user company match the GHG reduction plan included in the financial information of the user company.

[0084] Here, the situation determination unit 200 may perform a scoring evaluation on, for example, the decarbonization actions of the user company, and use the score given to the user company as the result of the determination.

[0085] Figure 11 is a diagram showing an example of scoring evaluation. In Figure 11, "Year" is the year to be evaluated, "Emission target" is the target value of GHG emissions, "Actual Emissions" is the actual GHG emissions, "Rating" is the reduction achievement rate (degree of achievement) of GHG emissions, and "Score" is the score for the year to be evaluated. Also, the graph shown in Figure 11 is a plot of the target value of GHG emissions and the actual GHG emissions for each year. In Figure 11, the trend of the target value of GHG emissions is shown by a solid black line, and the trend of the actual GHG emissions is shown by a solid gray line, respectively.

[0086] In the example of Figure 11, the reference year is 2024, and the reduction achievement rate for that year is set to "100" and the score is set to "0". The score is calculated by subtracting "100" from the reduction achievement rate. Also, in the example of Figure 11, the target value of GHG emissions for each year is the value obtained by multiplying the target value of GHG emissions in the previous year by "0.865". That is, the target value of GHG emissions for each year is a value corresponding to a 13.5% reduction from the target value of GHG emissions in the previous year.

[0087] Also, in the example of Figure 11, the reduction achievement rate (Rating) of GHG emissions for each year is calculated by the following formula (1). TIFF0007706203000002.tif51166For example, the reduction achievement rate (Rating) of GHG emissions in 2025 is calculated as (59 - 55) / (59 - 51.035)×100≒50.220.

[0088] The score (pt) is calculated by subtracting "100" from the reduction achievement rate (degree of achievement) as shown in the following formula (2). TIFF0007706203000003.tif24166For example, the score in 2025 is calculated as 50.220 - 100 = -49.78 (pt). The score becomes larger as the reduction achievement rate increases. The larger the score, the better the evaluation of the decarbonization actions of the user company in that year.

[0089] In the above description, an example based on the year 2024 was described. However, the user may use a year other than 2024 as a reference, and the specific reference time can be set arbitrarily. Also, in the above description, an example based on the year 2024 was described. However, a reference may be set based on a time unit other than a year, such as an arbitrary month or an arbitrary day. Also, in the above description, an example of calculating the reduction achievement rate by formula (1) and calculating the score by subtracting 100 from the reduction achievement rate was described. However, the calculation methods of the reduction achievement rate and the score are not limited to the above, and they may be calculated by other methods. In any case, the reduction achievement rate and the score may be quantitatively calculated from the time-series data of GHG emissions and the target value of GHG emissions.

[0090] Alternatively, the situation determination unit 200 may use, as the determination result, an evaluation made on the user company in accordance with external certification criteria based on the time-series data regarding the GHG emissions of the user company calculated by the GHG emissions calculation program or financial information of the user company. Examples of external certification criteria include, in addition to CDP and TCFD described above, SBT (Science Based Targets), ISO14064, and the like.

[0091] Data regarding the evaluation made on the user company in accordance with external certification criteria may be stored in advance in the storage unit 150, for example. In that case, the situation determination unit 200 may obtain the data stored in the storage unit 150 and use the evaluation based on the obtained data as the determination result. Alternatively, data regarding the evaluation made on the user company in accordance with external certification criteria may be stored in an external device other than the information processing device 100, for example. In that case, the situation determination unit 200 may obtain data regarding the evaluation made on the user company in accordance with external certification criteria from an external device other than the information processing device 100 and use the evaluation based on the obtained data as the determination result.

[0092] The reduction ratio calculation unit 210 calculates a reduction ratio indicating the ratio of the GHG emissions to the GHG reduction amount in the user company based on the information on the decarbonization actions of the user company including the financial information of the user company and the determination result by the situation determination unit 200. The reduction ratio is calculated, for example, by Equation (3). Reduction ratio = (GHG reduction amount / Total GHG emissions) × 100 (3)

[0093] The information on the decarbonization actions of the user company widely includes information on the decarbonization actions actually taken by the user company, such as information indicating the content of the decarbonization actions taken by the user company, such as the introduction of renewable energy and the use of carbon credits. It is possible to calculate how much the GHG emissions have been reduced by the decarbonization actions of the user company. Also, if the determination result by the situation determination unit 200 is good, the GHG reduction amount will also increase, and as a result, the reduction ratio will also increase.

[0094] The evaluation criterion generation unit 220 generates evaluation criterion information indicating an evaluation criterion for the reduction ratio indicating the ratio of the GHG emissions to the GHG reduction amount and an evaluation criterion for the GHG reduction cost, which is an evaluation criterion regarding the achievement rate that the user company should achieve. For example, the evaluation criterion generation unit 220 may set the evaluation criterion for the reduction ratio based on the decarbonization target set in the user company. Also, the evaluation criterion generation unit 220 may set the evaluation criterion for the reduction ratio in consideration of the standard evaluation criterion in the business field to which the user company belongs or the evaluation criterion announced by the government. Also, the evaluation criterion generation unit 220 may set the evaluation criterion for the reduction ratio according to the progress of the decarbonization actions in the user company. For example, when the progress of the decarbonization actions in the user company is in the initial stage, the evaluation criterion for the reduction ratio may be set low, and when the progress of the decarbonization actions in the user company is in the development stage, the evaluation criterion for the reduction ratio may be set high.

[0095] Further, with regard to the evaluation criteria for GHG reduction costs, for example, the evaluation criteria generation unit 220 may set the evaluation criteria by comparing the costs invested by the user company in reduction activities with the results. For example, when low-cost and high-efficiency reduction measures are introduced, the evaluation criteria for GHG reduction costs may be set low, and when high-cost reduction measures are required, the evaluation criteria for GHG reduction costs may be set high.

[0096] The data required when the evaluation criteria generation unit 220 sets the above evaluation criteria may be stored in the storage unit 150 in advance, or may be acquired by the evaluation criteria generation unit 220 from an external device other than the information processing device 100.

[0097] The climate-related action evaluation unit 230 evaluates the quality of the GHG reduction actions in the user company using the evaluation criteria information based on the reduction ratio calculated by the reduction ratio calculation unit 210 and information regarding the GHG reduction costs of the user company.

[0098] For example, when both the reduction ratio and the reduction cost meet the evaluation criteria, the climate-related action evaluation unit 230 evaluates the quality of the GHG reduction actions in the user company highly, and when neither the reduction ratio nor the reduction cost meets the evaluation criteria, the climate-related action evaluation unit 230 evaluates the quality of the GHG reduction actions in the user company lowly. When the climate-related action evaluation unit 230 evaluates the quality of the GHG reduction actions in the user company as described above, it may generate data indicating the evaluation result and transmit the generated data to the user terminal UT to display the evaluation result on the display unit of the user terminal UT.

[0099] In this way, the information processing apparatus 100d according to the fourth embodiment is configured to include a situation determination unit 200, a reduction ratio calculation unit 210, an evaluation criterion generation unit 220, and a climate-related action evaluation unit 230, so that it can correspond to a so-called life cycle assessment that evaluates the impact on the environment of the products or services of the user company throughout the entire process from their birth to use and final disposal. Further, thereby, the user can grasp how the quality of the GHG reduction actions implemented in relation to the life cycle of the products or services of the user company is evaluated, and can consider improving the GHG reduction actions as necessary.

[0100] As described above, according to this fourth embodiment, the information processing apparatus 100d is based on the financial information of the user company or the time-series data regarding the GHG emissions of the user company calculated by the GHG emissions calculation program, and determines the GHG emissions situation regarding at least one of the event activities of the user company or the life cycle of the products of the user company, and the decarbonization action situation in the user company. The situation determination unit 200, based on the information regarding the decarbonization actions of the user company including financial information and the determination result by the situation determination unit 200, calculates a reduction ratio indicating the ratio between the GHG emissions and the GHG reduction amount in the user company. The reduction ratio calculation unit 210, an evaluation criterion generation unit 220 that generates evaluation criterion information which is an evaluation criterion regarding the reduction ratio indicating the ratio between the GHG emissions and the GHG reduction amount and the achievement rate that the user company should achieve, and based on the reduction ratio calculated by the reduction ratio calculation unit 210 and the information regarding the GHG reduction cost of the user company, uses the evaluation criterion information to evaluate the quality of the GHG reduction actions in the user company. The climate-related action evaluation unit 230. Thereby, in addition to the effects of the first embodiment, the information processing apparatus 100d can correspond to a so-called life cycle assessment that evaluates the impact on the environment of the products or services of the user company throughout the entire process from their birth to use and final disposal.

[0101] In addition, the situation determination unit 200 performs a scoring evaluation on the decarbonization actions of the user company, and uses the score assigned to the user company as the result of the determination. Thereby, the information processing apparatus 100d can quantitatively determine the GHG emission situation and the decarbonization action situation in the user company.

[0102] In addition, the situation determination unit 200 uses the time-series data on the GHG emissions of the user company calculated by the GHG emission calculation program or financial information of the user company and the target amount of the GHG emissions of the user company, and calculates the score to be assigned to the user company based on the GHG reduction achievement rate calculated by a predetermined mathematical formula. Thereby, the information processing apparatus 100d can quantitatively determine the GHG emission situation and the decarbonization action situation in the user company by using a predetermined mathematical formula.

[0103] As described above, the preferred embodiments etc. have been described in detail. However, the present invention is not limited to the above-described embodiments etc., and various modifications and substitutions can be made to the above-described embodiments etc. without departing from the scope described in the claims.

[0104] In addition, in the present disclosure, free combinations of each embodiment, or modifications of any component of each embodiment, or omission of any component in each embodiment are possible. For example, in the above description, Embodiment 3 has been described as an example configured based on Embodiment 1, but it may be configured based on Embodiment 2. Also, in the above description, Embodiment 4 has been described as an example configured based on Embodiment 1, but it may be configured based on Embodiment 2 or Embodiment 3, or may be configured based on both Embodiment 2 and Embodiment 3.

Industrial Applicability

[0105] The present disclosure can support the consideration work when specifically considering what kind of GHG reduction activities a user company can take from a quantitative perspective, and is suitable for use in an information processing apparatus, an information processing method, and an information processing program.

Description of Symbols

[0106] 100, 100b, 100c, 100d Information processing apparatus, 110, 110b, 110c Data acquisition unit, 120 Reduction amount calculation unit, 130, 130b Display data generation unit, 140, 140b Display control unit, 150 Storage unit, 160 Behavior identification unit, 170 Enterprise cooperation unit, 180 Document data generation unit, 190 Output unit, 200 Situation determination unit, 210 Reduction ratio calculation unit, 220 Evaluation criterion generation unit, 230 Climate-related behavior evaluation unit, 300 Hardware configuration, 310 Communication interface, 320 Input / output interface, 330 Processor, 340 Memory, UT User terminal.

Claims

1. A data acquisition unit that acquires time-series data regarding the GHG emissions of a user company; Based on the time-series data acquired by the data acquisition unit, a reduction amount calculation unit that calculates the reduction amount of GHG in an arbitrary specified period, which is the reduction amount with respect to the GHG emissions in a reference period that can be arbitrarily specified by the user; A display data generation unit that generates data indicating a screen for comparing and displaying the GHG emissions in the reference period, the GHG reduction amount in the specified period calculated by the reduction amount calculation unit, and the GHG emissions in the specified period, and on which a first graph showing the GHG emissions in the reference period and a second graph showing the GHG emissions in the specified period with the GHG reduction amount in the specified period stacked thereon are arranged and displayed; A display control unit that causes the screen indicated by the data generated by the display data generation unit to be displayed on the display unit of the user terminal; An information processing apparatus comprising the above.

2. The display data generation unit: In response to an instruction from the user terminal, generates data indicating a screen for comparing and displaying the GHG emissions in the reference period, the GHG reduction amount in the specified period, and the GHG emissions in the specified period in units of the reference period and the specified period; The information processing apparatus according to Claim 1.

3. The display data generation unit: In response to an instruction from the user terminal, generates data indicating a time-series display screen that shows how the GHG emissions change over time with respect to the GHG emissions in the reference period of the user company as a reference; The display control unit causes the time-series display screen indicated by the data generated by the display data generation unit to be displayed on the display unit of the user terminal; The information processing apparatus according to Claim 1.

4. The display data generation unit: In addition to showing how the GHG emissions change over time with respect to the reference GHG emissions, generates data indicating a time-series display screen that shows how the offset amount based on the offset activities of the user company changes over time; The information processing apparatus according to Claim 3.

5. It is provided with an action identification unit that identifies actions that the user company can take to reduce GHG emissions using the time-series data acquired by the data acquisition unit; The display data generation unit: Generate data for displaying the actions identified by the action identification unit, The display control unit causes the display unit of the user terminal to display the actions indicated by the data generated by the display data generation unit. The information processing apparatus according to any one of claims 1 to 4.

6. In response to an instruction from the user terminal, An enterprise cooperation unit that selects an enterprise that provides services related to the actions identified by the action identification unit and communicates with the platform of the selected enterprise. The information processing apparatus according to claim 5.

7. A document data generation unit that generates data indicating a document used for an audit by a predetermined auditing institution using the time-series data acquired by the data acquisition unit, An output unit that outputs the data generated by the document data generation unit. The information processing apparatus according to any one of claims 1 to 4.

8. The reduction amount calculation unit, Based on the time-series data acquired by the data acquisition unit, Calculates the total reduction amount of GHG in the user enterprise from the reference period to the specified period as the specific reduction amount, The display data generation unit, Generates data indicating the screen after adding the specific reduction amount calculated by the reduction amount calculation unit to the reduction amount of GHG in the specified period. The information processing apparatus according to any one of claims 1 to 4.

9. Based on the financial information of the user enterprise or the time-series data related to the GHG emissions of the user enterprise calculated by the GHG emissions calculation program, determines the GHG emission status related to at least one of the event activities of the user enterprise or the life cycle of the products of the user enterprise, and the decarbonization action status of the user enterprise. A situation determination unit; A reduction ratio calculation unit that calculates a reduction ratio indicating the ratio of the GHG emissions amount to the GHG reduction amount in the user enterprise based on the information on the decarbonization actions of the user enterprise including the financial information and the determination result by the situation determination unit; An evaluation criterion generation unit that generates reduction ratio information indicating the ratio of the GHG emissions amount to the GHG reduction amount and evaluation criterion information that is an evaluation criterion for the GHG reduction cost and relates to the achievement rate that the user enterprise should achieve. A climate-related behavior evaluation unit that evaluates the quality of GHG reduction actions in the user company by using the evaluation criterion information based on the reduction ratio calculated by the reduction ratio calculation unit and information regarding the GHG reduction cost of the user company. The information processing apparatus according to any one of claims 1 to 4, comprising the above.

10. The situation determination unit performs a scoring evaluation on the decarbonization actions of the user company and uses the score assigned to the user company as the result of the determination. The information processing apparatus according to claim 9.

11. The situation determination unit Based on the time-series data regarding the GHG emissions of the user company calculated by the GHG emissions calculation program or financial information of the user company and the target amount of GHG emissions of the user company, calculates the score assigned to the user company based on the GHG reduction achievement rate calculated by a predetermined mathematical formula. The information processing apparatus according to claim 10.

12. An information processing method by an information processing apparatus, comprising: A step in which a data acquisition unit acquires time-series data regarding the GHG emissions in a user company; A step in which a reduction amount calculation unit calculates, based on the time-series data acquired by the data acquisition unit, the reduction amount of GHG in an arbitrary specified period, which is the reduction amount relative to the GHG emissions in a reference period that can be arbitrarily specified by the user; A step in which a display data generation unit generates data indicating a screen for comparing and displaying the GHG emissions in the reference period, the reduction amount of GHG in the specified period calculated by the reduction amount calculation unit, and the GHG emissions in the specified period, and in which a first graph indicating the GHG emissions in the reference period and a second graph in which the reduction amount of GHG in the specified period is stacked and displayed on the GHG emissions in the specified period are arranged and displayed; A step in which a display control unit causes the screen indicated by the data generated by the display data generation unit to be displayed on a display unit of a user terminal. An information processing method having the above steps.

13. An acquisition step of acquiring time-series data regarding the GHG emissions in a user company; A reduction amount calculation step of calculating, based on the time-series data acquired in the acquisition step, the reduction amount of GHG in an arbitrary specified period, which is the reduction amount relative to the GHG emissions in a reference period that can be arbitrarily specified by the user. A screen for comparing and displaying the GHG emissions during the reference period, the GHG reduction amount calculated in the reduction amount calculation step during the designated period, and the GHG emissions during the designated period, the screen including a first graph showing the GHG emissions during the reference period and a second graph in which the GHG reduction amount during the designated period is stacked and displayed on the GHG emissions during the designated period, and a display data generation step for generating data indicating the screen; A display control step for causing a display unit of a user terminal to display the screen indicated by the data generated in the display data generation step; An information processing program for causing a computer to execute.

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