Information processing system, information processing method and program

Abstract

To manage a goal of carbon tax.SOLUTION: The present invention relates to an information processing system, which stores the amount of emission of greenhouse gas by the whole enterprise, and first to third pieces of scenario data. Second carbon tax is derived based upon the amount of emission and the first scenario data which are stored in a storage part. Second carbon tax is derived based upon the amount of emission and the second scenario data which are stored in the storage part. Second carbon tax is further derived based upon the amount of emission and the third scenario data which are stored in the storage part. A derivation part can derive second carbon tax of a short, a middle or a long period as a predetermined period.SELECTED DRAWING: Figure 10

Description

[Technical field]

[0001] The present invention relates to an information processing system, an information processing method, and a program. [Background technology]

[0002] Patent Document 1 discloses a system for evaluating a value according to the total amount of the price of carbon dioxide emission rights and the carbon tax amount. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2005-332171 A Summary of the Invention [Problem to be solved by the invention]

[0004] There is a need to manage carbon tax targets.

[0005] The present invention has been made in view of the above background, and aims to provide a technique capable of managing carbon tax targets. [Means for solving the problem]

[0006] The main invention of the present invention for solving the above problem is an information processing system comprising a memory unit that stores greenhouse gas emissions by a business entity and specified scenario data, and a derivation unit that derives a carbon tax based on the emissions and the specified scenario data, wherein the derivation unit is capable of deriving a carbon tax for a specified period.

[0007] Other problems and solutions disclosed in this application will be made clear in the description of the preferred embodiments of the invention and the drawings. Effect of the Invention

[0008] The present invention allows for control over carbon tax targets. [Brief description of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of an information processing system according to an embodiment of the present invention. [Diagram 2] FIG. 2 illustrates an example of a hardware configuration of a management server 200. [Diagram 3] FIG. 2 illustrates an example of the software configuration of a management server 200. [Figure 4] FIG. 11 is a diagram illustrating a process for outputting a target discharge amount. [Diagram 5] FIG. 13 is a diagram for explaining a process for outputting an emission amount reduced by a solution. [Figure 6] FIG. 11 is a diagram illustrating a process for outputting a reduction target. [Figure 7] FIG. 13 is a diagram for explaining a process for presenting an emission coefficient. [Figure 8] FIG. 11 is a diagram illustrating a process 1 for generating and presenting third information. [Figure 9] FIG. 11 is a diagram for explaining a process 2 for generating and presenting third information. [Figure 10] FIG. 1 is a diagram illustrating a process for calculating and presenting a carbon tax. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] 1 is a diagram showing an example of the overall configuration of an information processing system according to an embodiment of the present invention. The information processing system of this embodiment is configured to include a management server 200. The management server 200 is communicably connected to a user terminal 100 via a communication network 300. The communication network 300 is, for example, the Internet, and is constructed by a public telephone line network, a mobile phone line network, a wireless communication path, Ethernet (registered trademark), or the like.

[0011] The user terminal 100 is a computer operated by a user of a business entity such as a company that generates waste. The user terminal 100 may be, for example, a smartphone, a tablet computer, or a personal computer. The user can access the management server 200 using the user terminal 100 to calculate the amount of waste generated.

[0012] The management server 200 is a computer that calculates and manages emissions. The management server 200 may be a general-purpose computer such as a workstation or a personal computer, or may be logically realized by cloud computing.

[0013] <Management Server> FIG. 2 is a diagram showing an example of the hardware configuration of the management server 200. Note that the illustrated configuration is an example, and other configurations may be used. The management server 200 includes a CPU 201, a memory 202, a storage device 203, a communication interface 204, an input device 205, and an output device 206. The storage device 203 is, for example, a hard disk drive, a solid state drive, or a flash memory that stores various data and programs. The communication interface 204 is an interface for connecting to the communication network 300, and is, for example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone line network, a wireless communication device for wireless communication, a USB (Universal Serial Bus) connector or an RS232C connector for serial communication, etc. The input device 205 is, for example, a keyboard, a mouse, a touch panel, a button, a microphone, etc. that input data. The output device 206 is, for example, a display, a printer, a speaker, etc. that output data. Each functional unit of the management server 200 described below is realized by the CPU 201 reading a program stored in the storage device 203 into the memory 202 and executing it, and each storage unit of the management server 200 is realized as part of the storage area provided by the memory 202 and the storage device 203.

[0014] 3 is a diagram showing an example of the software configuration of the management server 200. The management server 200 includes a storage unit 230 (an emission coefficient storage unit 231, an emission amount storage unit 232, and a solution storage unit 233), a calculation unit 210 (an emission amount calculation unit 211, a unit reduction amount calculation unit 213, and a target emission amount calculation unit 214), an input unit 220, and an output unit 240.

[0015] The emission coefficient storage unit 231 constituting the storage unit 230 stores information including emission coefficients for calculating greenhouse gas emissions (hereinafter referred to as emission coefficient information). The emission coefficient may be primary data (data collected by the emitter itself, obtained from direct measurement, or obtained from calculation based on direct measurement in the first information source), or secondary data (data other than primary data, for example, data standardized (statistically processed) from emissions of multiple companies providing the same type of product). The emission coefficient storage unit 231 can store emission coefficients in association with the type of activity. The emission coefficient storage unit 231 can store emission coefficients in association with information identifying the business entity (entrepreneurship ID) and information indicating the type of activity (type identification information).

[0016] The emission amount storage unit 232 constituting the storage unit 230 stores the greenhouse gas emissions by the business entity. The emission amount storage unit 232 can store the first direct emission amount (scope 1) by the business entity, the second indirect emission amount (scope 2) by the business entity, and the third emission amount (scope 3) by other business entities located upstream or downstream of the business entity's supply chain. The emission amount storage unit 232 can also store the fourth emission amount by category for the third emission amount (scope 3) related to the other business entities. In this embodiment, the emission amount storage unit 232 can store a company ID indicating the business entity, information specifying the time when the activity was performed (time information), a scope, a category, and an emission amount in association with each other. The time information can be set to any period such as a fiscal year, a year, a year and month, a year and month, a date, or a date and time range. The scope and category can be the scope and category specified in the GHG Protocol. The category may be omitted.

[0017] The solution storage unit 233 constituting the storage unit 230 stores information (referred to as solution information) on solutions that realize reduction of emissions. The solutions can include various services and products related to reduction and offset of greenhouse gas emissions, such as consulting services related to formulation and execution of reduction plans, procurement of renewable energy power, and offset trading such as J-Credit. The solution storage unit 233 can store reduction information for calculating the amount of reduction in emission power that can be reduced by the solution, in association with information identifying the solution (solution ID) and the type of business in which the solution can be adopted. The reduction information can be, for example, a ratio (percentage) of emissions or an emission coefficient to be multiplied by the amount of activity.

[0018] The emission calculation unit 211 constituting the calculation unit 210 can calculate the emission amount of the business entity (or at least any one of the first to fourth emission amounts). The emission calculation unit 211 can, for example, accept an input of an activity amount, acquire an emission coefficient corresponding to the type of activity amount from the emission coefficient storage unit 231, calculate the emission amount for each activity by multiplying the activity amount by the acquired emission coefficient, and calculate the emission amount by summing up the emissions by scope and / or category. The emission calculation unit 211 may accept an input of an emission amount calculated externally.

[0019] The input unit 220 accepts input of the reduction target percentage of emissions by the business entity, a base point in time, and a target point in time. The base point in time and the target point in time are, for example, a year (fiscal year). A target emission that is reduced by the reduction target percentage based on the emission amount at the base point in time can be set as a goal to be achieved at the target point in time. The input unit 220 can accept first to third reduction target percentages for the first to third emission amounts, respectively. The input unit 220 can also accept a fourth reduction target percentage by category for the third emission amount.

[0020] The input unit 220 can accept the third reduction target ratio from the other business. The input unit 220 can receive the third reduction target ratio, for example, from a user terminal 100 operated by (an employee of) the other business. The input unit 220 can transmit a message to the user terminal 100 of the other business instructing the user to input the third reduction target ratio, and receive from the user terminal 100 the third reduction target ratio input from the other business in response to the message.

[0021] The unit reduction amount calculation unit 213 constituting the calculation unit 210 calculates the reduction amount of the emission amount in a unit time (unit period). The unit time is, for example, one year, but may be a quarter, a month, a week, or the like. The unit reduction amount calculation unit 213 acquires the emission amount at the reference time from the emission amount storage unit 231, and multiplies the acquired emission amount by the reduction target rate to calculate the reduction amount to be reduced from the reference time to the target time. The unit reduction amount calculation unit 213 can calculate the target value (unit reduction amount) of the reduction amount to be reduced per unit time (for example, one year) by dividing the calculated reduction amount by the number of unit times (for example, the number of years) from the reference time to the target time. The unit reduction amount calculation unit 213 can also calculate the first to third unit reduction amounts for each of the first to third emission amounts. The unit reduction amount calculation unit 213 can also calculate a fourth unit reduction amount by category for the third emission amount.

[0022] The target emission calculation unit 214 constituting the calculation unit 210 calculates a target value of emission (referred to as target emission amount) per unit time (for example, one year). The target emission calculation unit 214 can calculate a target emission amount for each unit time from a base point in time by subtracting a cumulative unit reduction amount from the emission amount at a base point in time. The target emission calculation unit 214 can calculate a target emission amount per unit time (first to third target emission amounts) for each of the first to third emission amounts. The target emission calculation unit 214 can calculate a fourth target emission amount by category per unit time for the third emission amount.

[0023] The output unit 240 can output the target emission amount for each unit time. The output unit 240 can output the target emission amount for each of the first to third emission amounts. The output unit 240 can output a fourth target emission amount by category for the third emission amount.

[0024] The output unit 240 can output the emission amount and the target emission amount (the total or the first to fourth emission amounts and the target emission amount) in association with each other for the period in which the emission amount is registered. The output unit 240 can output the emission amount and the target emission force in, for example, a graph format.

[0025] The output unit 240 can also visualize the emission amount (or reduction amount) after the solution is introduced. For example, the output unit 240 can accept the designation of a solution from the user terminal 100, read out reduction information corresponding to the designated solution from the solution storage unit 233, calculate the emission reduction amount based on the read out reduction information, calculate a value obtained by subtracting the reduction amount from the emission amount (simulated emission amount), and output the simulated emission amount. The output unit 240 can also output the simulated emission amount together with the emission amount and the target emission amount.

[0026] <Operation> FIG. 4 is a diagram for explaining the process (operation 1) of outputting the target discharge amount.

[0027] The management server 200 accepts input of a base time point, a target time point, and a reduction rate from a user terminal 100 operated by a user of the company (S401). The management server 200 transmits a request for a reduction rate, with the base time point and the target time point set, to the user terminal 100 of another business entity upstream and / or downstream in the supply chain (S402). The user of the other business entity inputs a reduction rate to the user terminal 100 in response to the request, and the management server 200 receives the reduction rate transmitted from the user terminal 100 in response to the request (S403). Note that a system that manages emissions in the other business entity may respond with the reduction rate. The management server 200 may also accept input of a reduction rate by another business entity from a user of the company.

[0028] The management server 200 calculates the reduction amount for each unit time (e.g., year) from the base time point to the target time point (S404). For example, the management server 200 can read the emission amount at the base time point from the emission amount storage unit 232 and calculate the reduction amount by multiplying the read emission amount by the reduction rate. The management server 200 may accept different reduction rates for each of scopes 1 and 2. For scope 3, the reduction rate acquired from the user terminal 100 of another business entity may differ from the reduction rate for the scopes 1 and 2 of the company. The management server 200 can calculate the target reduction amount by reading the emission amount corresponding to the company ID and the base time point from the emission amount storage unit 232 and multiplying it by the reduction rate accepted from the user terminal 100 of the company, and can calculate the target reduction amount by reading the emission amount corresponding to the company ID and the base time point indicating the other business entity from the emission amount storage unit 232 and multiplying it by the reduction rate received from the user terminal 100 of the other business entity, and can total the target reduction amount for each scope and / or category.

[0029] The management server 200 calculates the reduction amount per unit time by dividing the target reduction amount by the number of unit times (e.g., years) from the base point in time to the target point in time (S405), and calculates the target emission amount per unit time by subtracting the accumulated reduction amount from the emission amount at the base point in time (S405).

[0030] The management server 200 can output the emission amount and the target emission amount in association with each other for a unit time (year) for which an emission amount is registered in the emission amount storage unit 232 (S406). The management server 200 can output only the target emission amount for a unit time (year) for which an emission amount is not registered. Note that the management server 200 may output the reduction amount and emission amount (if registered) for each unit time instead of the target emission amount.

[0031] FIG. 5 is a diagram for explaining the process (operation 2) of outputting the amount of emission reduced by the solution.

[0032] The management server 200 accepts the designation of a solution (S501), reads out the reduction information corresponding to the accepted solution and the company's industry from the solution storage unit 233, and calculates the reduction amount (expected reduction amount) expected by the introduction of the solution based on the read reduction information and the emission amount at the reference time (S502). The management server 200 calculates the expected reduction amount per unit time by dividing the expected reduction amount by the number of unit times (e.g., years) from the reference time to the target time (S503), and can calculate the emission amount (expected emission amount) expected by the introduction of the solution per unit time by subtracting the accumulated expected reduction amount per unit time from the emission amount at the reference time (S504). The management server 200 can output the emission amount and the target emission amount as well as the expected emission amount in association with each other for the unit time (year) for which the emission amount is registered in the emission amount storage unit 232 (S505). The management server 200 can output the target emission amount and the expected emission amount in association with each other for the unit time (year) for which the emission amount is not registered. The management server 200 may output the expected reduction amount and the emission amount (if registered) per unit time instead of the expected emission amount.

[0033] The calculation unit 210, the input unit 220, and the output unit 240 of the management server 200 may be executed by a system having an artificial intelligence that learns by itself (a mechanical system).

[0034] <Disclosures> The first embodiment also includes the following configuration. [Item A1] an input unit that accepts input of a reduction target rate of the emissions by the business entity, a base point in time, and a target point in time; a unit reduction amount calculation unit that acquires the emissions corresponding to the base point in time from the emission memory unit, calculates a reduction amount by multiplying the acquired emissions by the reduction target rate, and calculates a unit reduction amount by dividing the calculated reduction amount by the number of unit times from the base point in time to the target point in time; a target emission calculation unit that calculates a target emission amount for each unit time by subtracting a cumulative unit reduction amount from the emission amount corresponding to the base point in time; and an output unit that outputs the target emission amount for each unit time. [Item A2] An information processing system according to item A1, wherein the emission amount storage unit stores a first direct emission amount by the business entity, a second indirect emission amount by the business entity, and a third emission amount by another business entity located upstream or downstream in a supply chain of the business entity; the input unit accepts first to third reduction target rates for the first to third emissions, respectively; the unit reduction amount calculation unit calculates the first to third unit reduction amounts for the first to third emissions, respectively; the target emission amount calculation unit calculates the target emission amount per unit time for the first to third emissions, respectively; and the output unit outputs the target emission amount for the first to third emissions. [Item A3] The information processing system described in item A2, wherein the emission memory unit stores a fourth emission amount by category for the third emission amount related to the other business operator, the input unit accepts the fourth reduction target rate by category for the third emission amount, the unit reduction amount calculation unit calculates the fourth unit reduction amount by category for the third emission amount, the target emission amount calculation unit calculates the fourth target emission amount by category for the third emission amount per unit time, and the output unit outputs the fourth target emission amount by category for the third emission amount. [Item A4] An information processing system according to item A2, wherein the input unit receives the third reduction target ratio from the other business operator. [Item A5] An information processing system according to item A4, wherein the input unit transmits a message to the other business operator instructing the other business operator to input the third reduction target ratio, and accepts the third reduction target ratio input from the other business operator in response to the message. [Item A6] An information processing system according to item A1, comprising: a solution storage unit that stores information for identifying a solution that realizes the reduction of the emissions and reduction information for calculating an amount of reduction in the emission power that can be reduced by the solution, wherein the output unit accepts designation of the solution, reads out the reduction information corresponding to the designated solution from the solution storage unit, calculates the amount of reduction in the emissions based on the read reduction information, and outputs a value obtained by subtracting the reduction amount from the emissions. [Item A7] an information processing method, the information processing method being characterized in that a computer executes the steps of: storing greenhouse gas emissions by a business entity in an emission memory unit; accepting input of a reduction target rate of the emissions by the business entity, a base point in time, and a target point in time; acquiring the emission amount corresponding to the base point in time from the emission memory unit, multiplying the acquired emission amount by the reduction target rate to calculate a reduction amount, and calculating a unit reduction amount by dividing the calculated reduction amount by the number of unit times from the base point in time to the target point in time; calculating a target emission amount for each unit time by subtracting the cumulative unit reduction amount from the emission amount corresponding to the base point in time; and outputting the target emission amount for each unit time. [Item A8] A program for causing a computer to execute the steps of: storing greenhouse gas emissions by a business entity in an emission memory unit; accepting input of a reduction target rate of the emissions by the business entity, a base point in time, and a target point in time; obtaining the emission amount corresponding to the base point in time from the emission memory unit, calculating a reduction amount by multiplying the obtained emission amount by the reduction target rate, and calculating a unit reduction amount by dividing the calculated reduction amount by the number of unit times from the base point in time to the target point in time; calculating a target emission amount for each unit time by subtracting the cumulative unit reduction amount from the emission amount corresponding to the base point in time; and outputting the target emission amount for each unit time.

[0035] <Second embodiment> Next, although some of the above-mentioned embodiments have been described in detail, an example of a configuration that can be further applied to the above-mentioned embodiments will be described in detail as a second embodiment below. The information processing system of the second embodiment supports the formulation of emission reduction targets, particularly for Scope 3 of the GHG Protocol. Scope 3 emissions are greenhouse gas emissions by business entities (hereinafter referred to as suppliers) that are upstream and / or downstream in the supply chain for a business entity that wishes to calculate emissions. The information processing system of this embodiment imports the reduction targets of suppliers and proposes them as candidates for the company's own Scope 3 emission reduction targets.

[0036] 3, an example of the software configuration of the management server 200 will be described. The management server 200 includes a storage unit 230 (a discharge amount storage unit 232, a target storage unit 234), an acquisition unit 250 (a target acquisition unit 251), an estimation unit 270, and a calculation unit 210 (a reduction rate calculation unit 218).

[0037] The emission amount memory unit 232 constituting the memory unit 230 stores information for identifying the amount of greenhouse gas emissions for each supplier. In this embodiment, the emission amount memory unit 232 stores the activity amount and the emission intensity as the information for identifying the emission amount, but the emission amount itself may be stored. The emission amount memory unit 232 can store a company ID indicating a supplier, time information, information for identifying an activity by a supplier (activity content), the activity amount and the emission intensity related to the activity. The time information may be, for example, a year. The time information may also be a year / month, a year / month / day, etc.

[0038] The emission amount storage unit 232 can further store information for identifying the direct and indirect emissions (emissions related to Scopes 1 and 2) of the company. The emission amount storage unit 232 may store the emission amount itself as information for identifying the company's emission amounts related to Scopes 1 and 2, or may store the amount of activity and an emission coefficient.

[0039] The target memory unit 234 constituting the memory unit 230 stores a target reduction rate for each supplier. The target reduction rate is a target set by the supplier and is a ratio to the supplier's emissions in a base year. The target memory unit 234 stores the base point in time, the target point in time, and the reduction rate in association with a company ID that identifies the supplier and activity content that identifies the activity by the supplier. The base point in time and the target point in time may be specified by year, or may be specified by year / month, date, date and time, for example.

[0040] The target acquisition unit 251 constituting the acquisition unit 250 acquires a target reduction rate from a supplier. For example, the target acquisition unit 251 can transmit a request to a user of the supplier and receive the target reduction rate from the user terminal 100 of the supplier. The target acquisition unit 251 may acquire the target reduction rate from a server in which the target reduction rate is managed, or may acquire the target reduction rate disclosed by the supplier from, for example, a Web page of the supplier or a Web page of a newspaper company. The target acquisition unit 251 can acquire the activity content, base year, target year, and reduction rate. The target acquisition unit 251 can register the acquired target reduction rate in the target storage unit 234.

[0041] The target acquisition unit 251 can also acquire a reduction rate of a target related to the company's emission (company reduction rate). The target acquisition unit 251 can receive the company reduction rate from the user terminal 100.

[0042] The estimation unit 270 estimates future emissions for each supplier. The estimation unit 270 can multiply the supplier's emissions at a base point in time (a value obtained by multiplying the amount of activity by the emissions intensity) by a target reduction rate to calculate the emissions at a target point in time.

[0043] For a supplier for which the target reduction rate could not be obtained, the estimation unit 270 can estimate future emissions by using the statistical value of the target reduction rate stored in the target storage unit 234 as the target reduction rate of that supplier. For example, the estimation unit 270 can use the average of the target reduction rates of all suppliers as the target reduction rate of the supplier for which the target reduction rate could not be obtained.

[0044] The reduction rate calculation unit 218, which is one of the calculation units 210, calculates a target reduction rate of emissions related to Scope 3. The reduction rate calculation unit 218 can calculate a reduction rate (the ratio of the value obtained by subtracting the second total value from the first total value to the first total value) by comparing a first total value of future emissions estimated for each supplier with a second total value of emissions for each supplier at the base time. The reduction rate calculation unit 218 can similarly calculate the reduction rate for each category of Scope 3.

[0045] The reduction rate calculation unit 218 can also calculate a reduction rate (carbon footprint: CFP reduction rate) for the total of Scopes 1 to 3. The reduction rate calculation unit 218 can calculate the future emissions (at the target time) of the company based on the company's emissions and the company's reduction rate, calculate a first total value of the emissions of the company and its suppliers at the target time and a second total value of the emissions of the company and its suppliers at the base time, and calculate the ratio of the difference between the first and second total values ​​to the second total value as the reduction rate for Scopes 1 to 3.

[0046] <Operation> FIG. 6 is a diagram for explaining the process (operation 3) of outputting a reduction target.

[0047] The management server 200 acquires a reduction target (reduction rate from a reference time point to a target time point) from a supplier (S601). The management server 200 can, for example, send a request to a user of the supplier and receive the reduction target from the user terminal 100 of the user of the supplier. The management server 200 acquires the emission amount at the reference time point related to the activity of the supplier from the emission storage unit 232, and calculates the reduction target amount up to the target time point by multiplying the acquired emission amount by the reduction rate (S602). The management server 200 calculates the reduction target amount related to Scope 3 by adding up the reduction target amounts calculated for each supplier (S603). Note that, for a supplier for which the management server 200 was unable to acquire a reduction target, the management server 200 can calculate the reduction target amount using the statistics of the reduction targets (such as the average value of the reduction rate) of other suppliers in Scope 3 or other suppliers in the same category in Scope 3.

[0048] The management server 200 can calculate the total supplier emissions at the base point in time (i.e., the scope 3 emissions at the base point in time) and calculate the ratio of the scope 3 reduction target amount to the total value as the scope 3 target reduction rate (S604).

[0049] The management server 200 acquires the reduction targets for scopes 1 and 2 of the company (S605). The management server 200 can, for example, acquire the reduction targets of the company and calculate the reduction target amount up to the target point in time by multiplying the company's emissions at the base point in time by the reduction rate. The reduction targets of the company can be received from the user terminal 100 of the user of the company by sending a request to the user of the company, for example.

[0050] The management server 200 obtains the company's emissions related to scopes 1 and 2 from the emissions memory unit 232, and multiplies the obtained emissions (total) by the reduction rate to calculate the reduction target amounts for scopes 1 and 2 up to the target time (S606).

[0051] The management server 200 totals the reduction target amounts for scopes 1-3 (S607), calculates the total emissions related to scopes 1-3 at the base point in time from the emissions memory unit 232, and calculates the ratio of the total reduction target amounts for scopes 1-3 to the emissions for scopes 1-3 at the calculated base point in time as its own company's target reduction rate (S608).

[0052] The management server 200 can output the reduction target (target reduction rate) for Scope 3 and the reduction target (target reduction rate) for Scopes 1-3 (Carbon Footprint; CFP) (S609).

[0053] As described above, according to the information processing system of this embodiment, it is possible to automatically calculate a company's Scope 3 reduction target and a company's carbon footprint reduction target based on the reduction targets collected from suppliers.

[0054] The calculation unit 210, the acquisition unit 250, and the estimation unit 270 of the management server 200 may be executed by a system having an artificial intelligence that learns by itself (a mechanical system).

[0055] <Disclosures> The second embodiment also includes the following configuration. [Item B1] an information processing system comprising: a target acquisition unit that acquires target reduction rates of greenhouse gases from multiple business entities that are upstream or downstream in a supply chain; an emission memory unit that stores information identifying the greenhouse gas emissions of each of the business entities at a base point in time; an estimation unit that estimates future emissions for each of the business entities by multiplying the emissions by the target reduction rate; and a calculation unit that calculates the target reduction rate of emissions for all of the business entities by comparing a total value of the future emissions estimated for each of the business entities with a total value of the emissions for each of the business entities at the base point in time. [Item B2] An information processing system according to item B1, wherein the emission amount memory unit further stores information identifying the first emission amount by the business entity, as well as information identifying direct and indirect second emission amounts by the company; the target acquisition unit acquires a company reduction rate related to the second emission amount; and the calculation unit estimates the future third emission amount for the business entity, calculates a future fourth emission amount for the company based on the second emission amount and the company reduction rate, and calculates a target reduction rate for the company based on a value corresponding to the sum of the third and fourth emissions and a value corresponding to the sum of the first and second emissions. [Item B3] The information processing system according to item B1, further comprising a target storage unit that stores the target reduction rate for each of the business entities, and the estimation unit estimates the future emissions for a business entity for which the target reduction rate could not be obtained, using a statistical value of the target reduction rate stored in the target storage unit as the target reduction rate for that business entity. [Item B4] An information processing method characterized in that a computer executes the steps of: obtaining target reduction rates of greenhouse gases from multiple business entities that are upstream or downstream in a supply chain; storing information that identifies the greenhouse gas emissions of each of the business entities at a base point in time; estimating future emissions for each of the business entities by multiplying the emissions by the target reduction rate; and calculating the target reduction rate of emissions for all of the business entities by comparing a total of the future emissions estimated for each of the business entities with a total of the emissions for each of the business entities at the base point in time. [Item B5] A program for causing a computer to execute the steps of: obtaining target reduction rates of greenhouse gases from multiple business entities that are upstream or downstream in a supply chain; storing information that identifies the greenhouse gas emissions of each of the business entities at a base point in time; estimating future emissions for each of the business entities by multiplying the emissions by the target reduction rate; and calculating the target reduction rate of emissions for all of the business entities by comparing the total of the future emissions estimated for each of the business entities with the total of the emissions for each of the business entities at the base point in time.

[0056] <Third embodiment> Next, although some of the configurations have been described in the above-described embodiments, an example of a configuration that can be further applied to the above-described first and second embodiments will be described in detail below as a third embodiment.

[0057] 3 is a diagram showing an example of the software configuration of the management server 200. Note that the illustrated configuration is an example, and other configurations may be used. The management server 200 includes a storage unit 230 (emission coefficient storage unit 231, scale information storage unit 235), an acquisition unit 250 (activity amount acquisition unit 252, information acquisition unit 253), a calculation unit 210 (emission amount calculation unit 211), an output unit 240 (information presentation unit 241, emission coefficient presentation unit 242), a generation unit 260 (information generation unit 261), and an input unit 220 (information input unit 221).

[0058] The emission coefficient storage unit 231 constituting the storage unit 230 stores, for each business entity, an emission coefficient for calculating the amount of greenhouse gas emissions by the business entity. The emission coefficient storage unit 231 can store the emission coefficient in association with the business entity and information (activity content) that identifies the business entity and the activity by the business entity. The emission coefficient storage unit 231 can also store the emission coefficient of the company itself.

[0059] The scale information storage unit 235 constituting the storage unit 230 stores scale information indicating the scale of the business entity for each business entity. In this embodiment, the scale of the business entity is at least one of the sales scale and the asset scale. The sales scale and the asset scale may be numerical values. In this embodiment, the scale information includes the sales amount and the asset amount of the business entity in association with the business entity ID indicating the business entity. The scale information storage unit 235 stores first information and second information, which will be described later. The first information and the second information may be combined into total information, and this total information may be stored in the scale information storage unit 235. Note that the first information and the second information may be stored using a storage unit other than the scale information storage unit 235.

[0060] The activity amount acquisition section 252 constituting the acquisition section 250 acquires the activity amount of the business entity. The activity amount acquisition section 252 can receive an input of the activity amount of the business entity. In addition, the activity amount acquisition section 252 can acquire the activity amount of the business entity from the accounting system, business system, or the like of the business entity.

[0061] The activity amount acquiring unit 252 can also acquire the amount of activity by a first business entity (supplier) constituting the upstream or downstream of the supply chain. For example, the activity amount acquiring unit 252 may receive an input of the amount of activity, or may acquire the amount of activity from an information processing device of the supplier.

[0062] The emission calculation unit 211 constituting the calculation unit 210 calculates the emission amount of greenhouse gases. The emission calculation unit 211 may calculate the emission amount of its own company. The emission calculation unit 211 can also calculate the emission amount of a supplier. The emission calculation unit 211 can calculate the emission amount of the supplier by reading out the emission coefficient corresponding to the supplier from the emission coefficient storage unit 231 and multiplying the activity amount of the supplier acquired by the activity amount acquisition unit 252 by the read-out emission coefficient.

[0063] The emission coefficient presentation unit 242 constituting the output unit 240 presents the emission coefficient of another business entity similar to the supplier when the emission amount of the supplier is not registered. The emission coefficient presentation unit 242 transmits the presented emission coefficient to the user terminal 100, and can receive an instruction of the emission coefficient to be adopted from the user terminal 100. The user terminal 100 may adopt the presented emission coefficient, may input an emission coefficient that the user terminal 100 knows, or may adopt a standard emission coefficient provided by the Ministry of the Environment or the like. The emission amount calculation unit 211 can calculate the emission amount using the emission coefficient instructed from the user terminal 100.

[0064] The emission coefficient presentation unit 242 constituting the output unit 240 reads out scale information corresponding to the supplier from the scale information storage unit 235, and further refers to the scale information storage unit 235 to identify a second business entity (another supplier) corresponding to scale information that matches or is similar to the read-out scale information, and reads out an emission coefficient corresponding to the identified other supplier from the emission coefficient storage unit 231. The similarity of the scale information can be determined based on whether or not a difference in sales and / or asset amount is within a predetermined range. The emission coefficient presentation unit 242 may read out an emission coefficient corresponding to the identified other supplier and activity from the emission coefficient storage unit 231. The emission coefficient presentation unit 242 can present the read-out emission coefficient. The second business entity is one or more other suppliers.

[0065] The emission coefficient presentation unit 242 may specify other suppliers with similar scale information related to the activity. In this case, the scale information stored in the scale information storage unit 235 includes sales and / or asset amounts by activity (e.g., by product, by service, etc.). The emission coefficient presentation unit 242 can read out from the emission coefficient storage unit 231 other suppliers with the same or similar scale information related to the activity and the emission coefficient corresponding to the activity.

[0066] The information acquisition unit 253 constituting the acquisition unit 250 acquires first information and second information. The first information is information including at least information related to greenhouse gas emissions by business entities constituting the upstream or downstream of the supply chain. The first information is, for example, a report containing information related to emissions (hereinafter, an emission report), a group of information showing multiple external findings, etc. The first information is also referred to as emission information. Examples of the emission report include a TCFD report, a CDP report, and a sustainability report, but other reports may also be used. The information related to greenhouse gas emissions is, for example, information showing the amount of emissions, information on the contents to be described in the emission report, information showing internal or external findings, etc.

[0067] The second information is information that indicates at least the attributes of the business entity (supplier). The second information includes, for example, scale information, attribute information of each supplier, information on the type of business, information on greenhouse gas emissions registration, information on future targets, industry information as attribute information of suppliers, information on trends in the industry, customer information, information on mapping of accounting items and emission intensity, information on guidelines related to the GHG Protocol, information on internal and external knowledge such as mapping of accounting items and emission coefficients accumulated in the past, and various other information. The second information may be a variable.

[0068] The method of the information acquisition unit 253 acquiring these pieces of information includes a method of acquiring information input from one or more user terminals 100 and a method of the management server 200 acquiring information. In the case of the method of acquisition by the management server 200, the size information of the second business entity and information related to emissions are acquired based on the attribute information corresponding to the first business entity. For example, when the attribute information corresponding to the first business entity is transportation, the size information of the second business entity, which is transportation information, and information related to emissions are acquired. The information related to emissions (also referred to as information by type related to emissions) is, for example, information on greenhouse gas emissions, information indicating scopes 1 to 3, information indicating categories 1 to 15 of scope 3, and the like. The information acquisition unit 253 and the activity amount acquisition unit 252 may be one acquisition unit instead of separate acquisition units. Furthermore, the information related to emissions may be information on the contents to be described in an emission report, and the like.

[0069] The information generating unit 261 constituting the generating unit 260 reads out second information (e.g., transportation information, which is the attribute information of the company) corresponding to the first business entity from the scale information storage unit 235, refers to the scale information storage unit 235, identifies a second business entity (e.g., another transportation supplier) corresponding to the second information that matches or is similar to the read out second information, reads out information related to emissions (e.g., information on the contents to be described in the TCFD report) corresponding to the identified second business entity from the scale information storage unit 235, and generates third information (e.g., a TCFD report reflecting the review results or a new TCFD report) different from the first information and the second information based on the read out information related to emissions. The third information is information that reflects the contents to be described in the emission report of the second business entity. In other words, the third information is information created based on the emission reports of other suppliers, and the management server 200 stores the emission reports of multiple other suppliers and generates the third information based on these information. The generated third information may be the emission report itself, in which case the information generating unit 261 creates a new emission report. Furthermore, the third information may be information on the emission amount of the second business entity, information indicating Scopes 1 to 3, information suggesting Categories 1 to 15 of Scope 3, or the like.

[0070] The information generating unit 261 may also read information corresponding to the first business entity (e.g., information on a question) from the scale information storage unit 235, refer to the scale information storage unit 235, identify a second business entity (e.g., another supplier) corresponding to second information that is identical or similar to the read information corresponding to the first business entity, read information related to emissions (e.g., information on external knowledge) corresponding to the identified second business entity from the scale information storage unit 235, and generate third information (e.g., information on a response to a question) different from the first information and the second information based on the read information related to emissions. It may also be configured to identify a second business entity (e.g., another supplier) corresponding to second information that is identical or similar to the information corresponding to the first business entity, read combined information (e.g., information combining internal knowledge and external knowledge) that combines information related to emissions corresponding to the identified second business entity with information related to emissions corresponding to the first business entity from the scale information storage unit 235, and generate third information (e.g., information on a response to a question) different from the first information and the second information based on the read information related to emissions. The third information is information of an answer to a question, such as information indicating a scope, information indicating a category, information indicating a reason, etc. Furthermore, the third information may be information of a suggestion to the question. Furthermore, the third information may be an answer to the question and a suggestion to the question.

[0071] The information corresponding to the first business entity may be, for example, information in which a user maps a scope and / or category for an accounting item and an emission coefficient. In this case, the information generating unit 261 reads information corresponding to the first business entity (for example, information in which a scope and / or category for an accounting item and an emission coefficient are mapped) from the scale information storage unit 235, refers to the scale information storage unit 235, identifies a second business entity (for example, another supplier) corresponding to second information that is identical or similar to the read information corresponding to the first business entity, reads information related to emissions (for example, information on external knowledge) corresponding to the identified second business entity from the scale information storage unit 235, and generates third information (for example, knowledge on the mapped information) different from the first information and the second information based on the read information related to emissions. The third information is information in which an accounting item and an emission intensity are mapped, information in which a scope and / or category and an emission coefficient are mapped, etc.

[0072] The information presentation unit 241 presents the third information. The information presentation unit 241 transmits the third information to be presented to the user terminal 100, and displays the third information on the user terminal 100. The third information transmitted to the user terminal 100 can be edited and processed on the user terminal 100. The information presentation unit 241 will be described as having a different function from the emission coefficient presentation unit 242, but may have the same function, in which case it will be referred to as a presentation unit.

[0073] The information input unit 221 inputs information corresponding to the first business entity input from the user terminal 100 to the management server 200. The management server 200 acquires the input information corresponding to the first business entity by the information acquisition unit 253. The information corresponding to the first business entity is, for example, information of an inquiry such as a question.

[0074] Also, when the user inputs information on the release report created by the user's company to the management server 200 via the user terminal 100, the review result (third information) may be displayed. In this case, the release report created by the user's company is the first information. Also, it is preferable that the release report created by the user's company includes the second information. The management server 200 generates a review result, which is information on the items to be described that are necessary for the user's release report and information on the contents to be added or corrected in the release report, based on the release reports of multiple other suppliers that it has acquired, and presents the release report that reflects the review result. The method of inputting the release report information to the management server 200 may be to input character information via OCR. In this way, multiple types of release reports can be easily acquired.

[0075] <Operation> FIG. 7 is a diagram for explaining the process (operation 4) of presenting the emission coefficient of the information processing system.

[0076] The management server 200 acquires the activity amount of the corresponding supplier for each activity (e.g., each raw material procured by the company) for which emissions are to be calculated (S701). For example, the management server 200 may transmit a request to the supplier and receive the activity amount from the supplier's user terminal 100, may receive the activity amount from the company's user terminal 100, or may acquire the activity amount from the supplier's business system or the like. The management server 200 acquires the emission coefficient corresponding to the supplier and the activity from the emission coefficient storage unit 231 (S702).

[0077] If the emission coefficient cannot be acquired (S703: NO), the management server 200 reads out the scale information corresponding to the supplier from the scale information storage unit 235 (S704). The management server 200 may acquire the scale information (sales amount and / or asset amount) related to the activity corresponding to the supplier and the activity. The management server 200 identifies other suppliers similar to the acquired scale information from the scale information storage unit 235 (S705), and reads out the emission coefficient corresponding to the other supplier and activity from the emission coefficient storage unit 231 (S706). If the emission coefficient corresponding to the other supplier and activity is not registered, the management server 200 can repeat the process from S705. The management server 200 transmits the read out emission coefficient to the user terminal 100 (S707), and accepts the designation of the emission coefficient to be used from the user terminal 100 (S708).

[0078] The management server 200 can calculate the emission amount by multiplying the emission coefficient and the amount of activity (S709).

[0079] In this way, for a supplier whose emission factor is unknown, the emission factors of other suppliers of a similar scale can be presented to the user. The user can use the emission factors of other similar suppliers related to their own company, instead of secondary data.

[0080] In this embodiment, other suppliers whose scale information is similar to that of the supplier are identified, but other suppliers whose business type matches or is similar to that of the supplier and whose scale (sales, assets) matches or is similar to that of the supplier may be identified. In this case, the business type of the business entity may be included in the scale information, or an industry storage unit that stores the business entity's industry may be provided.

[0081] FIG. 8 is a diagram for explaining the process 1 (operation 5) of generating and presenting the third information.

[0082] The management server 200 acquires first information including at least information related to greenhouse gas emissions by business entities that constitute the upstream or downstream of the supply chain for each activity (e.g., each of raw materials procured by the company) for which emissions are to be calculated (S801). The management server 200 also acquires second information indicating at least attributes of the business entities (S802). Next, the management server 200 stores the acquired first information and second information in the scale information storage unit 235 (S803). Next, the management server 200 reads out second information corresponding to the first business entity from the scale information storage unit 235 (S804). Next, the management server 200 refers to the scale information storage unit 235 to identify a second business entity corresponding to second information that is identical or similar to the read out second information (S805). Next, the management server 200 reads out information related to emissions corresponding to the identified second business entity from the scale information storage unit 235, and generates third information based on the read out information related to emissions (S806). Next, the management server 200 presents the third information (S807).

[0083] In operation 5, the management server 200 may calculate information related to greenhouse gas emissions by business entities that are upstream or downstream of the supply chain. This calculation is performed by the emission amount calculation unit. Also, operations 4 and 5 may be combined.

[0084] An increasing number of companies are disclosing information related to greenhouse gas emissions. Specialized knowledge and know-how are required to prepare an emissions report, but businesses (especially small and medium-sized enterprises) that do not have this often do not know what type of information to compile or what to include when preparing an emissions report, and are forced to rely on consultants who are knowledgeable in this field. Also, while it is possible for a company to prepare its own emissions report by referencing emissions reports disclosed by other companies in the same industry, there is a problem in that it takes a great deal of time to aggregate and organize the information that is necessary for the company from the referenced emissions reports.

[0085] According to operation 5, it is possible to provide an information processing system including: an acquisition unit that acquires first information (e.g., a TCFD report) including information related to greenhouse gas emissions by business entities upstream or downstream in the supply chain (e.g., information to be included in a TCFD report) and second information indicating attributes of the business entity (e.g., transportation information as attribute information of a supplier); an information generation unit that generates third information (e.g., a new TCFD report, a TCFD report reflecting review results) based on information related to emissions of a second business entity (another supplier) that matches or is similar to the second information (transportation information) corresponding to the first business entity; and a presentation unit that presents the third information.

[0086] In this way, by simply inputting the prerequisites such as the first information and the second information, an emission report format suited to the user is provided, so even businesses without specialized knowledge or know-how can easily create emission reports. In addition, the information processing system reviews the reports based on many published emission reports, which improves the accuracy of the emission reports created in-house.

[0087] FIG. 9 is a diagram for explaining the process 2 (operation 6) of generating and presenting the third information.

[0088] The management server 200 acquires first information including at least information related to greenhouse gas emissions by business entities that constitute the upstream or downstream of the supply chain for each activity (e.g., each of raw materials procured by the company) for which emissions are to be calculated (S901). The management server 200 also acquires second information indicating at least attributes of the business entities (S902). Next, the management server 200 stores the acquired first information and second information in the scale information storage unit 235 (S903). Next, the management server 200 reads out second information corresponding to the first business entity from the scale information storage unit 235 (S904). Next, the management server 200 acquires information corresponding to the first business entity (S905). The term "acquiring information corresponding to the first business entity" refers to storing information corresponding to the first business entity input from the user terminal 100 in a storage unit (e.g., the scale information storage unit 235) and reading out and acquiring the stored information. Next, the management server 200 refers to the scale information storage unit 235 and identifies a second business entity corresponding to the second information that is identical or similar to the read first business entity (S906). Next, the management server 200 reads out emission-related information corresponding to the identified second business entity from the scale information storage unit 235, and generates third information based on the read emission-related information (S907). Next, the management server 200 presents the third information (S908).

[0089] In operation 6, the management server 200 may calculate information related to greenhouse gas emissions by business entities that are upstream or downstream of the supply chain. This calculation is performed by the emission amount calculation unit. Operation 6 may also be combined with operations 4 and 2.

[0090] Companies are using FAQs and chatbots as a way to reduce the amount of work required to respond to customer questions (inquiries). However, because conventional FAQs and chatbots can only respond to pre-defined patterns, they may not be able to provide the answers or solutions that questioners are truly looking for.

[0091] According to operation 6, it is possible to provide an information processing system including: an acquisition unit that acquires first information (e.g., group information of internal knowledge) including at least information (e.g., internal knowledge) related to greenhouse gas emissions by a plurality of business entities constituting the upstream or downstream of the supply chain; second information (e.g., information of external knowledge such as customer information) indicating at least attributes of the business entities; a storage unit (e.g., a scale information storage unit) that stores the acquired first information and second information; an input unit that inputs information (e.g., information of a question) corresponding to the first business entity; an information generation unit that generates third information (e.g., information of an answer to the question) based on information related to emissions by a second business entity (other supplier) that matches or is similar to the information corresponding to the first business entity; and a presentation unit that presents the third information. The input unit includes a voice input unit that enables voice input by a microphone or the like. The voice input unit starts voice input based on detecting pressing of a button to start voice input. After starting voice input, the voice input unit ends voice input based on detecting pressing of the button to start voice input again. The voice input may be terminated based on detecting the pressing of a button for terminating the voice input. The voice input may also be terminated based on an interruption in the voice, or based on the passage of a predetermined time from the start of the voice input. Information input from the voice input unit is acquired by the acquisition unit and stored in the storage unit.

[0092] According to operation 6, an information processing system can be provided that includes an acquisition unit that acquires emission information (e.g., group information of information indicating scope) including at least type information (e.g., information indicating scope) regarding greenhouse gas emissions by business entities that are upstream or downstream of the supply chain, a storage unit (e.g., scale information storage unit) that stores the acquired emission information, an input unit that inputs information corresponding to the first business entity (e.g., question information), an information generation unit that generates type information corresponding to the first business entity (e.g., information indicating scope, information indicating category, and information on the reason as information of an answer to a question) based on type information regarding emissions that matches or is similar to the information corresponding to the first business entity (e.g., information indicating scope, information indicating category, and information on the reason), and a presentation unit that presents type information corresponding to the first business entity. Note that type information corresponding to the first business entity is also third information.

[0093] By combining publicly available external expert knowledge in this way with internal knowledge such as customer data accumulated within the company, it is possible to extract the answers and solutions that the customer asking the question is truly looking for, making it possible to automatically respond to inquiries with high accuracy.

[0094] The second information may be information indicating customer attributes. The information indicating customer attributes is, for example, information such as industry, sales, sales by business, market segment, number of employees, business region, business content, products and services sold, manufactured and provided. The second information may be information on sustainability initiatives. The information on sustainability initiatives is, for example, information such as goals related to climate change, internal strategies and structures, and numerical targets. Furthermore, the second information may be information on external factors such as competitive information and information related to customer trends. These pieces of information may be the first information. In this way, by providing many types of first information and second information, it is possible to easily create the third information.

[0095] The input unit 220, the output unit 240, the acquisition unit 250, the calculation unit 210, the generation unit 260, and the estimation unit 270 of the management server 200 may be executed by a system (mechanical system) having an artificial intelligence that learns by itself. In addition, this system may be tuned to learn acquired information such as information indicating a scope, information indicating a category, and information indicating a reason. In this way, when documents published by the WBCSD or the Ministry of the Environment or an internal customer database are loaded into the management server 200 and a customer inputs a prerequisite (industry, product, service, etc.), an optimal answer for the customer is generated from a group of learned information, and an answer is automatically given. It is also possible to load information in multiple languages. Also, questions can be input and answers can be given in multiple languages. By making the system multilingual, anyone can easily obtain the information they want to know.

[0096] <Disclosures> The third embodiment also includes the following configuration. [Item C1] an emission coefficient storage unit that stores, for each business entity, an emission coefficient for calculating greenhouse gas emissions; a scale information storage unit that stores, for each business entity, scale information indicating at least one of sales scale and asset scale; an acquisition unit that acquires an activity amount of a first business entity that is upstream or downstream in a supply chain; an emission calculation unit that calculates the emission amount of the first business entity by multiplying the activity amount by the emission coefficient corresponding to the first business entity; and a presentation unit that, when the emission coefficient corresponding to the first business entity is not registered, reads out the scale information corresponding to the first business entity from the scale information storage unit, refers to the scale information storage unit, identifies a second business entity corresponding to the scale information that matches or is similar to the read-out scale information, reads out the emission coefficient corresponding to the identified second business entity from the emission coefficient storage unit, and presents the read-out emission coefficient. [Item C2] An information processing system according to item C1, characterized in that the sales scale and the asset scale are numerical values, and the presentation unit identifies the second business entity corresponding to the scale information stored in the scale information storage unit whose difference from the read-out scale information is within a predetermined range. [Item C3] The information processing system according to item C1, wherein the emission coefficient storage unit stores the emission coefficient in association with the business entity and the activity by the business entity, the scale information storage unit stores the scale information in association with the activity, the emission calculation unit acquires the emission coefficient corresponding to the first business entity and the activity related to the activity amount, and the presentation unit refers to the scale information storage unit to identify a second business entity corresponding to the scale information that matches or is similar to the scale information of the first business entity and the activity, and reads out the emission coefficient corresponding to the identified second business entity and the activity from the emission coefficient storage unit. [Item C4] 1. An information processing method, characterized in that a computer executes the following steps: storing, for each business entity, an emission coefficient for calculating greenhouse gas emissions in an emission coefficient storage unit; storing, for each business entity, scale information indicating at least one of sales scale and asset scale in a scale information storage unit; acquiring an activity amount by a first business entity that is upstream or downstream in a supply chain; multiplying the activity amount by the emission coefficient corresponding to the first business entity to calculate the emissions by the first business entity; and, if the emission coefficient corresponding to the first business entity is not registered, reading out the scale information corresponding to the first business entity from the scale information storage unit, referring to the scale information storage unit, identifying a second business entity corresponding to scale information that matches or is similar to the read-out scale information, reading out the emission coefficient corresponding to the identified second business entity from the emission coefficient storage unit, and presenting the read-out emission coefficient. [Item C5] a step of storing, in an emission coefficient storage unit, an emission coefficient for calculating greenhouse gas emissions for each business entity; a step of storing, in a scale information storage unit, scale information indicating at least one of sales scale and asset scale for each business entity; a step of acquiring an activity amount by a first business entity that is upstream or downstream in a supply chain; a step of multiplying the activity amount by the emission coefficient corresponding to the first business entity to calculate the emission amount by the first business entity; and a step of reading, when the emission coefficient corresponding to the first business entity is not registered, reading, from the scale information storage unit, the scale information corresponding to the first business entity, and referring to the scale information storage unit, identifying a second business entity corresponding to the scale information that matches or is similar to the read-out scale information, reading, from the emission coefficient storage unit, the emission coefficient corresponding to the identified second business entity, and presenting the read-out emission coefficient. [Item C6] An information processing system comprising: an acquisition unit that acquires first information including at least information related to greenhouse gas emissions by business entities that are upstream or downstream in a supply chain; second information indicating at least attributes of the business entities; an information generation unit that generates third information based on information related to the emissions of a second business entity that matches or is similar to the second information corresponding to the first business entity; and a presentation unit that presents the third information. [Item C7] An information processing method characterized by being executed by a computer, comprising the steps of: acquiring first information including at least information related to greenhouse gas emissions by business entities upstream or downstream of a supply chain and second information indicating at least attributes of the business entities; generating third information based on information related to the emissions of a second business entity that matches or is similar to the second information corresponding to the first business entity; and presenting the third information. [Item C8] A program for causing a computer to execute the steps of: acquiring first information including at least information related to greenhouse gas emissions by business entities that are upstream or downstream in a supply chain and second information indicating at least the attributes of the business entities; generating third information based on information related to the emissions of a second business entity that matches or is similar to the second information corresponding to the first business entity; and presenting the third information. [Item C9] An information processing system comprising: an acquisition unit that acquires first information including at least information related to greenhouse gas emissions by business entities that are upstream or downstream in a supply chain; second information indicating at least attributes of the business entities; a memory unit that stores the acquired first information and the second information; an input unit that inputs information corresponding to the first business entity; an information generation unit that generates third information based on information related to the emissions of a second business entity that matches or is similar to the information corresponding to the first business entity; and a presentation unit that presents the third information. [Item C10] An information processing method characterized by being executed by a computer, comprising the steps of: acquiring first information including at least information related to greenhouse gas emissions by business entities upstream or downstream of a supply chain; and second information indicating at least attributes of the business entities; storing the acquired first information and second information in a memory unit; inputting information corresponding to the first business entity; generating third information based on information related to the emissions of a second business entity that matches or is similar to the information corresponding to the first business entity; and presenting the third information. [Item C11] A program for causing a computer to execute the steps of: acquiring first information including at least information related to greenhouse gas emissions by business entities upstream or downstream in a supply chain, and second information indicating at least attributes of the business entities; storing the acquired first information and second information in a memory unit; inputting information corresponding to the first business entity; generating third information based on information related to the emissions of a second business entity that matches or is similar to the information corresponding to the first business entity; and presenting the third information. [Item C12] An information processing system comprising: an acquisition unit that acquires emission information including at least information on a type of greenhouse gas emissions by business entities that are upstream or downstream in a supply chain; a memory unit that stores the acquired emission information; an input unit that inputs information corresponding to a first business entity; an information generation unit that generates information on a type corresponding to the first business entity based on information on the emission type that matches or is similar to the information corresponding to the first business entity; and a presentation unit that presents the information on the type corresponding to the first business entity. [Item C13] An information processing method characterized in that a computer executes the steps of: acquiring emission information including at least information on types of greenhouse gas emissions by business entities upstream or downstream in a supply chain; storing the acquired emission information in a memory unit; inputting information corresponding to a first business entity; generating information on a type corresponding to the first business entity based on information on the emission type that matches or is similar to the information corresponding to the first business entity; and presenting the information on the type corresponding to the first business entity. [Item C14] A program for causing a computer to execute the steps of: acquiring emission information including at least information on types of greenhouse gas emissions by business entities upstream or downstream in a supply chain; storing the acquired emission information in a memory unit; inputting information corresponding to a first business entity; generating information on a type corresponding to the first business entity based on information on the emission type that matches or is similar to the information corresponding to the first business entity; and presenting the information on the type corresponding to the first business entity.

[0097] <Fourth embodiment> Next, although some of the configurations have been described in the above-described embodiments, an example of a configuration that can be further applied to the above-described first to third embodiments will be described in detail as a fourth embodiment below.

[0098] 3 is a diagram showing an example of the software configuration of the management server 200. Note that the illustrated configuration is an example, and other configurations may be used. The management server 200 includes a storage unit 230 (emission amount storage unit 232), an acquisition unit 250 (information acquisition unit 253), a calculation unit 210 (derivation unit 215, reduction amount calculation unit 216), an output unit 240 (information presentation unit 241), and an input unit 220 (information input unit 221).

[0099] The emission amount storage unit 232 constituting the storage unit 230 is similar to the storage unit described in the second embodiment. In this embodiment, the emission amount storage unit 232 stores the result of calculating the carbon dioxide emission amount of the company as information specifying the emission amount.

[0100] The information acquisition unit 253 constituting the acquisition unit 250 acquires the reference scenario data. The reference scenario data is composed of a plurality of scenario data. The plurality of scenario data are the first scenario data, the second scenario data, the third scenario data, and the like. The first scenario data is, for example, the scenario data in the case where greenhouse gas emissions continue as at present, and the temperature rises by about 4 degrees by the year 2100 (or 2050, etc.). The second scenario data is, for example, the scenario data in the case where greenhouse gas emissions are reduced to almost zero. The third scenario data is, for example, the scenario data in the case where greenhouse gas emissions are reduced by a predetermined amount, and the temperature rise is 2 degrees or less by the year 2100 (or 2050, etc.). Each scenario data indicates the carbon price (coefficient) for each year from the present to the year 2100. Note that the climate change scenario set by WEO2022 may be acquired as the reference scenario data. When a climate change scenario is obtained, the first scenario data is created based on STEPS (The Stated Policies Scenario), the second scenario data is created based on NZE (Net Zero Emissions by 2050 Scenario), and the third scenario data is created based on APS (The Announced Pledges Scenario).

[0101] The derivation unit 215 constituting the calculation unit 210 derives (calculates) the first carbon tax based on the emission amount and the carbon price (coefficient) stored in the emission amount storage unit 232. The first carbon tax is derived based on the amount of carbon contained in the emission amount. The derivation method differs from country to country. For example, the first carbon tax is derived by multiplying the emission amount by the carbon price per ton, such as N yen / ton in Japan and M dollars / ton in the United States. The derivation unit 215 can also derive the second carbon tax for a predetermined period. The predetermined period may be short term (about 2 or 3 years), medium term (about 5 to 10 years), long term (about 30 years), etc. The second carbon tax is derived (calculated) based on the emission amount and scenario data stored in the emission amount storage unit 232. For example, when the long-term second carbon tax is derived using the first scenario data, the second carbon tax at the start of the scenario (current time) uses the first carbon tax. The second carbon tax at the end of the scenario (30 years later) is derived based on the emission amount and the data of the first scenario data 30 years later. Also, the second carbon tax for each year from the start of the scenario to the end of the scenario is derived based on the emission amount and the data of each year of the first scenario data. In this way, in this example, a simulation of a long-term second carbon tax can be executed and presented to the user. The derivation unit 215 can also derive the second carbon tax based on the amount of reduction. In this example, a simulation of a carbon tax can also be executed by multiplying the amount of reduction by the carbon price of the scenario data.

[0102] The reduction amount calculation unit 216 constituting the calculation unit 210 calculates the reduction amount based on the emission amount and the target reduction rate of the emission amount by the business entity. The target reduction rate is the same as in the first embodiment.

[0103] The information presenting unit 241 presents information on the first carbon tax, the second carbon tax (simulation results), and the reduction amount. For the second carbon tax, the results of a simulation based on one scenario data may be presented, or the results of multiple simulations based on multiple scenario data may be presented. The information presenting unit 241 transmits the information to be presented to the user terminal 100, and displays the information on the user terminal 100. Furthermore, the information transmitted to the user terminal 100 can be edited and processed on the user terminal 100. The information presenting unit 241 may present potential risks. There are two types of risks: acute risks and chronic risks. Acute risks are risks caused by sudden events. Sudden events are e.g. avalanches, cold waves, frost, cyclones, hurricanes, typhoons, droughts, heat waves, floods (coastal, river, precipitation, groundwater), glacial lake outbursts, precipitation surges (rain, hail, snow, ice), landslides, storms (including blizzards, dust, sand storms), subsidence, tornadoes, wildfires, etc. Chronic risks are risks resulting from long-term changes in weather patterns. Chronic risks are e.g. changing precipitation patterns (rain, hail, snow, ice), changing temperatures (air, freshwater, saltwater), changing wind patterns, coastal erosion, heat stress, ocean acidification, permafrost thaw, precipitation surges and / or hydrological changes, saline intrusion, sea level rise, soil degradation, soil erosion, solifluction, temperature fluctuations, water scarcity, etc. These may result in risks such as increased response costs, decreased asset value, asset impairment, decreased sales due to reduced production capacity, etc. By presenting the risks, the user can recognize what types of risks exist.

[0104] The information input unit 221 inputs information on the reduction target rate of the emission amount by the business entity input from the user terminal 100 to the management server 200 .

[0105] FIG. 10 is a diagram illustrating the process (operation 7) of calculating and presenting the carbon tax.

[0106] The management server 200 stores the amount of greenhouse gas emissions by the business entity (S1001). Next, the management server 200 calculates a first carbon tax based on the amount of emissions (S1002). Next, the management server 200 selects scenario data (S1003). The selected scenario data may be one or more. Next, the management server 200 calculates a second carbon tax for a predetermined period using the selected scenario data (S1004). Next, the management server 200 accepts input of a reduction target rate of emissions by the business entity (S1005). Next, the management server 200 calculates a reduction amount based on the amount of emissions and the reduction target rate (S1006). Next, the management server 200 calculates a second carbon tax based on the reduction amount. The management server 200 outputs the first carbon tax and the second carbon tax showing each calculation result to be presented to the user. The second carbon tax may be presented in a graph with the X-axis representing the fiscal year.

[0107] Due to the recent global warming phenomenon, abnormal weather has been observed all over the world. Weather disasters are also becoming more frequent. According to the United Nations Intergovernmental Panel on Climate Change, if global warming continues, weather disasters may become more frequent and severe. In order to prevent such abnormal weather and weather disasters, Western countries are leading the way in promoting the transition to a decarbonized society, and efforts are being made in Japan to achieve carbon neutrality by 2050. One example of this effort is the introduction of a carbon pricing system, which can be predicted to implement policies that put a price on carbon and change the behavior of carbon dioxide emitters (mainly companies). If a carbon pricing system is introduced, a "carbon tax" that taxes carbon dioxide emissions can be created. If a carbon tax is created, it will have a significant impact on the finances of companies that are the main emitters of carbon dioxide. For this reason, companies will have to estimate the carbon tax that will be levied on their own carbon dioxide emissions and consider the carbon tax when conducting business activities. However, there is currently no information processing system that can simulate the carbon tax that will be levied on companies in the future.

[0108] According to operation 7, it is possible to provide an information processing system that calculates the carbon dioxide emissions of a company using an information processing system for calculating and visualizing carbon dioxide emissions, and simulates a carbon tax based on the calculation results and a carbon price according to the reference scenario data. In detail, it is possible to provide an information processing system that simulates a carbon tax by multiplying the carbon price (carbon pricing) calculated in each scenario of the first scenario data, the second scenario data, and the third scenario data by the carbon dioxide emissions of the company.

[0109] This configuration allows companies to recognize risk factors such as future carbon tax burdens, and makes it easy to formulate business plans linked to climate change-related targets. In addition, by having companies consider risk factors such as future carbon tax burdens when considering capital investment plans, etc., the company can increase the priority of decarbonization investments, which can promote decarbonization investments in companies.

[0110] The acquisition unit 250, the calculation unit 210, the output unit 240, and the input unit 220 of the management server 200 may be executed by a system (mechanical system) having an artificial intelligence that learns by itself. By using such machine learning, it is possible to predict the factors that will increase or decrease the carbon tax.

[0111] <Disclosures> The fourth embodiment also includes the following configuration. [Item D1] A storage unit (emission amount storage unit 232) that stores greenhouse gas emissions by a business entity and predetermined scenario data; A derivation unit that derives a carbon tax (a second carbon tax) based on the emission amount and the predetermined scenario data; Equipped with The derivation unit is capable of deriving a carbon tax for a predetermined period. An information processing system comprising: [Item D2] The information processing system according to item D1, an input unit (information input unit 221) that accepts input of the emission reduction target ratio by the business entity; a reduction amount calculation unit that calculates a reduction amount based on the emission amount and the reduction target ratio; Equipped with The derivation unit is capable of deriving the carbon tax based on the reduction amount. An information processing system comprising: [Item D3] The information processing system according to item D2, The input unit is capable of accepting input of a reference time point and a target time point, The reduction amount calculation unit is capable of acquiring the emission amount at the reference time point from the emission amount storage unit, and calculating the reduction amount at the target time point based on the acquired emission amount and the reduction target rate. An information processing system comprising: [Item D4] Storing greenhouse gas emissions by a business entity and predetermined scenario data; deriving a carbon tax for a predetermined time period based on the emissions and the predetermined scenario data; An information processing method characterized by being executed by a computer. [Item D5] Storing greenhouse gas emissions by a business entity and predetermined scenario data; deriving a carbon tax for a predetermined time period based on the emissions and the predetermined scenario data; A program for causing a computer to execute the following.

[0112] Although the present embodiment has been described above, the above embodiment is for facilitating understanding of the present invention, and is not intended to limit the present invention. The present invention may be modified or improved without departing from the spirit thereof, and the present invention also includes equivalents thereof. The present invention may also be a combination of the first to fourth embodiments. [Explanation of symbols]

[0113] 100 user terminals 200 Management Server

Claims

1. A storage unit that stores greenhouse gas emissions by a business entity and predetermined scenario data; A derivation unit that derives a carbon tax based on the emission amount and the predetermined scenario data; Equipped with The derivation unit is capable of deriving a carbon tax for a predetermined period. An information processing system comprising:

2. 2. The information processing system according to claim 1, an input unit that receives an input of the emission reduction target ratio by the business entity; a reduction amount calculation unit that calculates a reduction amount based on the emission amount and the reduction target ratio; Equipped with The derivation unit is capable of deriving the carbon tax based on the reduction amount. An information processing system comprising:

3. 3. The information processing system according to claim 2, The input unit is capable of accepting input of a reference time point and a target time point, The reduction amount calculation unit is capable of acquiring the emission amount at the reference time point from the emission amount storage unit, and calculating the reduction amount at the target time point based on the acquired emission amount and the reduction target rate. An information processing system comprising:

4. Storing greenhouse gas emissions by a business entity and predetermined scenario data; deriving a carbon tax for a predetermined time period based on the emissions and the predetermined scenario data; An information processing method characterized by being executed by a computer.

5. Storing greenhouse gas emissions by a business entity and predetermined scenario data; deriving a carbon tax for a predetermined time period based on the emissions and the predetermined scenario data; A program for causing a computer to execute the following.

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