JP7279905B1 - GHG emission amount derivation device, GHG emission amount derivation method and program - Google Patents

Abstract

A GHG emissions derivation device, method, and program are provided.
A GHG emission amount derivation device includes asset information indicating a first classification of assets, a second classification obtained by further subdividing the first classification of assets, and an activity amount of the assets, and assets assigned to each second classification. Emission factor information that indicates the primary emission factor, which is the GHG emission factor unique to the property, and the secondary emission factor, which is the GHG emission factor common to multiple assets belonging to the first category assigned to each first category , a determination unit that determines whether or not the primary emission factor corresponding to the second category of the target asset is indicated in the emission factor information; Based on the primary emission factor and the activity data of the target asset, derive the GHG emission amount of the target asset, and if the primary emission factor of the target asset is not indicated in the emission factor information, the secondary emission factor of the target asset and a derivation unit that derives the GHG emissions of the target asset based on the amount of activity of the target asset.
[Selection drawing] Fig. 4

Description

The present invention relates to a GHG emission derivation device, a GHG emission derivation method, and a program.

Patent Literature 1 states that "for each asset, the value corresponding to the asset is multiplied by an emission factor to calculate the emission amount of environmentally hazardous substances for each asset."
[Prior art documents]
[Patent Literature]
[Patent Document 1] Patent No. 7043691

A GHG emission amount derivation device according to an aspect of the present invention includes asset information indicating a first classification of assets, a second classification obtained by further subdividing the first classification of the assets, and an activity amount of the assets; A primary emission factor, which is a greenhouse gas (GHG) emission factor unique to the asset assigned to each of the two categories, and a GHG emission factor common to a plurality of assets belonging to the first category assigned to each of the first categories. a determination unit for determining whether or not the primary emission factor corresponding to the second category of the target asset is indicated in the emission factor information, based on the emission factor information indicating the secondary emission factor; When the primary emission factor is indicated in the emission factor information, derive the GHG emission amount of the target asset based on the primary emission factor of the target asset and the activity amount of the target asset, and a derivation unit for deriving a GHG emission amount of the target asset based on the secondary emission factor of the target asset and an activity amount of the target asset when the primary emission factor is not indicated in the emission factor information; may be provided.

The asset information may further indicate GHG emissions of the asset. The derivation unit derives the GHG emission amount of the target asset indicated in the asset information as a specific GHG emission amount of the target asset when the GHG emission amount of the target asset is indicated in the asset information. You can

The asset information may be accounting information.

The accounting information may be information indicating a fixed asset ledger.

The first classification may be asset types, and the second classification may be asset names or identification information that uniquely identifies assets.

In the method for deriving GHG emissions according to an aspect of the present invention, the determination unit includes asset information indicating a first classification of the asset, a second classification obtained by further subdividing the first classification of the asset, and an activity amount of the asset. and a primary emission factor that is a greenhouse gas (GHG) emission factor unique to the asset assigned to each of the second categories, and a GHG common to a plurality of assets belonging to the first category assigned to each of the first categories. determining whether or not the primary emission factor corresponding to the second category of the target asset is indicated in the emission factor information, based on emission factor information indicating a secondary emission factor, which is an emission factor; and a derivation unit. However, when the primary emission factor of the target asset is indicated in the emission factor information, GHG emissions of the target asset are calculated based on the primary emission factor of the target asset and the amount of activity of the target asset. When the primary emission factor of the target asset is not indicated in the emission factor information, GHG emissions of the target asset based on the secondary emission factor of the target asset and the activity amount of the target asset and deriving the quantity.

A program according to an aspect of the present invention comprises asset information indicating a first classification of an asset, a second classification obtained by further subdividing the first classification of the asset, and an activity amount of the asset; A primary emission factor that is a greenhouse gas (GHG) emission factor unique to the asset to be assigned and a secondary emission factor that is a GHG emission factor common to a plurality of assets belonging to the first category assigned to each of the first categories a determination unit for determining whether or not the primary emission factor corresponding to the second classification of the target asset is indicated in the emission factor information, based on the emission factor information indicating the primary emission factor of the target asset If indicated in the emission factor information, derive a GHG emission amount of the target asset based on the primary emission factor of the target asset and the amount of activity of the target asset, and calculate the primary emission factor of the target asset is not indicated in the emission factor information, the computer functions as a derivation unit that derives the GHG emissions of the target asset based on the secondary emission factor of the target asset and the activity amount of the target asset. you can

It should be noted that the above summary of the invention does not list all the features of the invention. Subcombinations of these feature groups can also be inventions.

It is a functional block diagram of a GHG emission derivation device. It is a figure which shows the table of an example of property information. FIG. 10 is a diagram showing a table in which first classifications and secondary emission factors are associated and stored; FIG. 10 is a diagram showing a table in which second classifications and primary emission factors are associated and stored; FIG. 4 is a flow diagram for deriving GHG emissions according to the present embodiment; 1 illustrates an exemplary computer in which aspects of the present invention may be embodied in whole or in part; FIG.

Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Also, not all combinations of features described in the embodiments are essential for the solution of the invention.

FIG. 1 is a functional block diagram of the GHG emissions derivation device 100 of this embodiment. The GHG emissions derivation device 100 includes a communication section 102 , a storage section 104 and a control section 106 . Control unit 106 includes acquisition unit 108 , determination unit 110 , and derivation unit 112 .

The communication unit 102 manages communication between each component in the GHG emission calculation device 100 . In addition, the communication unit 100 may communicate with an external computer or the like via an information communication network such as the Internet.

The storage unit 104 stores a program for deriving GHG emissions according to the present embodiment, a table of asset information described later, a table in which the first classification and the secondary emission factor are associated and stored, and the second classification and the primary emission factor. may be stored in a table or the like in which .

The control unit 106 may be configured by a microprocessor such as a CPU or MPU, a microcontroller such as an MCU, or the like.

In recent years, there has been an increasing need to derive GHG emissions from products and services using more accurate GHG emission factors. However, in the prior art document mentioned above, the value corresponding to the asset, that is, the amount of money, is multiplied by the emission factor to calculate the environmentally hazardous substance, and the calculated GHG emission amount is not highly accurate. Therefore, the present embodiment provides a GHG emission derivation device, a GHG emission derivation method, and a program for deriving a GHG emission using a more accurate GHG emission factor.

Acquisition unit 108 acquires asset information such as accounting information and fixed asset ledger information from an external computer via communication unit 102 . The external computer may be a server or the like on which accounting software or the like is executed. Alternatively, the external computer may be realized by cloud computing. Further, the acquisition unit 108 may acquire asset information based on user input via an input device (not shown) such as a mouse or keyboard of a terminal (not shown) and the communication unit 102. Asset information may be acquired by reading data such as a CSV file stored in a storage device (not shown) of the terminal. The acquisition unit 108 may store the acquired asset information in the storage unit 104 . Here, the acquisition unit 108 acquires asset information indicating the first classification of the asset, the second classification obtained by further subdividing the first classification of the asset, and the amount of activity of the asset, and the asset information specific to the asset assigned to each second classification. The primary emission factor that is the GHG emission factor and the emission factor information indicating the secondary emission factor that is the GHG emission factor that is common to the plurality of assets belonging to the first category assigned to each first category are linked and stored in the storage unit 104. can be stored. Asset information and emission factor information may be linked in advance by an external computer. In addition, the asset information and the emission factor information are the asset information acquired by the acquiring unit 108 as described above, the acquiring unit 108 using an external computer such as a server for GHG emission calculation software, etc., an external computer by cloud computing, user input, CSV Emission factor information acquired by reading data from a file or the like may be linked based on the asset name of the asset information or identification information that uniquely identifies the asset.

The determination unit 110 obtains asset information indicating the first classification of the asset, the second classification obtained by further subdividing the first classification of the asset, and the amount of activity of the asset, and the unique GHG emission coefficient of the asset assigned to each second classification. and the emission factor information that indicates the secondary emission factor, which is the GHG emission factor common to multiple assets belonging to the first category assigned to each first category. Determine whether the corresponding primary emission factor is indicated in the emission factor information. FIG. 2, which will be described with reference to FIGS. 2, 3A, and 3B, is a diagram showing an example table of property information. FIG. 3A is a diagram showing a table in which first classifications and secondary emission factors are associated and stored. FIG. 3B is a diagram showing a table in which the second classification and the primary emission factor are associated and stored. The asset information table has column items of "fixed asset name", "account item", "type", "purchase price", "purchase amount" and "GHG emissions". Each entry is entered in the asset information table on a row-by-row basis. The column item "fixed asset name" is referred to as the second classification. The column item "type" is called the first classification. The column items "Purchase Price" and "Purchase Amount" are referred to as the activity amount of the asset. “Fixed asset name” is information that uniquely identifies an entry. "Account item" is a larger classification than "type". For example, "personal computer A" and "personal computer B" in the asset information table both have "personal computer" as the "type" and "tools, fixtures and fixtures" as the "account item". "Copier A" in the property information table has "copier" as the "type" and "tools, fixtures and fixtures" as the "account item". "Vehicle A" in the asset information table has a "type" of "vehicle" and an "account item" of "vehicle carrier".

For the entry of "PC A" in the top row of the property information table, the determining unit 110 identifies the primary emission factor "Xa" of PC A by referring to the table in FIG. 3B. Accordingly, the determination unit 110 determines that the primary emission factor "Xa" corresponding to the second category "fixed asset name" "personal computer A" is shown in the table of FIG. 3B.

When the primary emission factor of the target asset is indicated in the emission factor information, the derivation unit 112 derives the GHG emission amount of the target asset based on the primary emission factor of the target asset and the amount of activity of the target asset, If the primary emission factor of the asset is not indicated in the emission factor information, the GHG emission amount of the target asset is derived based on the secondary emission factor of the target asset and the activity amount of the target asset.

Here, since the primary emission factor "Xa" is shown in the table of FIG. 3B for "PC A", the derivation unit 112 multiplies the purchase amount 10 by the primary emission factor "Xa" to obtain the value of "PC A". Derive GHG emissions. Here, it is desirable to obtain the primary emission factor "Xa" from the personal computer A manufacturer. For example, the manufacturer of personal computer A calculates the total amount of GHG emissions across the upstream categories of scope 1 to scope 3 required for the production of personal computer A, divides it by the production volume of personal computer A, GHG emission factors may be calculated and derived from direct measurements from specific processes or activities based on PC A product-by-product life cycle assessment or carbon footprint methodologies, or derived from calculations based on such direct measurements. It may be the GHG emission factor per PC A that has been determined and quantified. The GHG emission factors obtained in this way are based on actual measurements, and are highly accurate, and are called primary emission factors. On the other hand, GHG emission factors such as industry standard values, median values and average values for each country or region are called secondary emission factors. Secondary emission factors are less accurate than primary emission factors. Therefore, the GHG emission amount derivation device 100 according to the present embodiment derives the GHG emission amount of each target asset by preferentially using the primary emission factor over the secondary emission factor.

Next, the entry of "Vehicle A" in the bottom row of the property information table will be explained. The determination unit 110 refers to the table of FIG. 3B and determines that there is no primary emission factor for “vehicle A”. Next, the determination unit 110 identifies that the first classification “type” of “vehicle A” is “vehicle” from the asset information table. Subsequently, the determination unit 110 refers to the table of FIG. 3A and identifies that the secondary emission factor of the vehicle is "Z". Therefore, for vehicle A, the derivation unit 112 derives the GHG emission amount of vehicle A by multiplying the purchase amount “1” by the secondary emission factor “Z”.

Asset information further indicates the GHG emissions of the asset. The derivation unit 112 derives the GHG emission amount of the target asset indicated in the asset information as the specific GHG emission amount of the target asset when the GHG emission amount of the target asset is indicated in the asset information.

The entry of "personal computer B" in the second row from the top of the asset information table will be explained. "XXb" has already been entered in the "GHG emissions" column of "PC B". Therefore, the derivation unit 112 derives "XXb" as the specific GHG emissions of "personal computer B". In the case where the asset information table already has a unique GHG emission amount, the manufacturer of personal computer B has a GHG emission factor for each personal computer B, as described above. It is conceivable that it was provided as an emission amount. When GHG emissions have already been entered in the asset information table, the GHG emissions derivation device 100 may or may not store the primary emission factors in the table of FIG. 3B.

Here, the asset information may be accounting information. In particular, the accounting information may be information indicating a fixed asset ledger. The fixed asset ledger records the acquisition date, acquisition price, quantity, depreciation method, useful life, depreciation rate, etc. when purchasing individual fixed assets. Various accounting software may be applied as the fixed asset ledger.

A first category may be an asset type. In the above example, the column item "type" was described as the first classification, but this is only an example. "Account item" may be the first classification. The second classification may be an asset name or identification information that uniquely identifies the asset. In the above example, the column item "fixed asset name" is described as the second classification, but this is only an example. For example, a "fixed asset ID" that uniquely identifies an asset may be added to the asset information table, and the "fixed asset ID" may be used as the second classification. Also, the year, month and day may be added to the asset information table to derive the GHG emission amount in a specific year or the GHG emission amount in a specific period. Also, in the description, the purchase amount is multiplied by the primary emission factor or the secondary emission factor, but the present embodiment is not limited in this respect. The purchase price may be multiplied by the corresponding emission factor. Also, for example, if the target assets are equipment, equipment, or facilities, the energy consumption in these may be multiplied by the corresponding energy type emission factor. Alternatively, the weight of facilities, equipment, etc. may be multiplied by an emission factor. If the target asset is real estate, the floor area may be multiplied by an emission factor per unit area.

Next, a flow for deriving GHG emissions according to this embodiment will be described. FIG. 4 is a flow chart for deriving GHG emissions according to this embodiment.

In S200, the acquisition unit 108 acquires fixed asset ledger information. The fixed asset ledger information may be the aforementioned asset information table. Obtaining unit 108 may also obtain the table of emission factors shown in FIGS. 3A and 3B.

In S202, the determination unit 110 identifies the target fixed asset from the fixed asset ledger. For example, the determination unit 110 identifies the entries of "personal computer A", "personal computer B", "copier A", and "vehicle A" in the property information table.

In S204, the determination unit 110 determines whether the GHG emission amount of the target fixed asset is included in the fixed asset ledger. Here, the judging unit 110 judges that the GHG emission amount is included in "personal computer B". The determination unit 110 determines that the GHG emission amount is not included for "personal computer A", "copier A" and "vehicle A".

In S206, the derivation unit 112 derives the GHG emission amount "XXb" included in the asset information table as the GHG emission amount of the fixed asset "PC B".

In S204, the determination unit 110 determines that the asset information table does not include the GHG emissions for "PC A", "COPYER A", and "VEHICLE A", and therefore proceeds to S208. In S208, the determination unit 110 determines whether or not there is a primary emission factor for the target fixed asset. The determination unit 110 refers to the table of FIG. 3B and determines that there is a primary emission factor for "personal computer A" and "copier A". Furthermore, the determining unit 110 refers to the table of FIG. 3B and determines that there is no primary emission factor for “vehicle A”.

For "personal computer A" and "copier A", the process proceeds to S212. In S212, the derivation unit 112 derives the GHG emission amount of the target fixed asset using the primary emission factor of the target fixed asset. The derivation unit 112 derives the GHG emission amount for "PC A" by multiplying the purchase amount "10" by the primary emission factor "Xa". Similarly, the derivation unit 112 derives the GHG emission amount for "copier A" by multiplying the purchase amount "1" by the primary emission factor "Ya".

In S208, the determination unit 110 determines that there is no primary emission factor for "vehicle A", so the process proceeds to S210. In S210, the determination unit 110 further identifies that the first classification "type" of "vehicle A" is "vehicle" from the property information table. The determination unit 110 identifies the secondary emission factor "Z" of the vehicle by referring to the table of FIG. 3A. Therefore, the derivation unit 112 derives the GHG emission amount of "vehicle A" by multiplying the purchase amount "1" of "vehicle A" by the secondary emission factor "Z" of the vehicle.

According to this embodiment, when a primary emission factor exists, the primary emission factor can be preferentially used to derive a highly accurate GHG emission amount. Also, in the absence of primary emission factors, simple secondary emission factors can be used to quickly derive GHG emissions. Moreover, when the GHG emission amount itself has already been obtained from a manufacturer or the like, the GHG emission amount can be treated as the specific GHG emission amount of the target asset, saving labor for derivation.

FIG. 5 illustrates an example computer 1200 in which aspects of the invention may be implemented in whole or in part. Programs installed on computer 1200 may cause computer 1200 to act as one or more "parts" of or operations associated with apparatus according to embodiments of the present invention. Alternatively, the program may cause computer 1200 to perform the operation or the one or more "parts." The program may cause computer 1200 to perform a process or steps of the process according to an embodiment of the invention. Such programs may be executed by CPU 1212 to cause computer 1200 to perform specific operations associated with some or all of the blocks in the flowcharts and block diagrams described herein.

Computer 1200 according to this embodiment includes CPU 1212 and RAM 1214 , which are interconnected by host controller 1210 . Computer 1200 also includes a communication interface 1222 and an input/output unit, which are connected to host controller 1210 via input/output controller 1220 . Computer 1200 also includes ROM 1230 . The CPU 1212 operates according to programs stored in the ROM 1230 and RAM 1214, thereby controlling each unit.

Communication interface 1222 communicates with other electronic devices over a network. A hard disk drive may store programs and data used by CPU 1212 in computer 1200 . ROM 1230 stores therein programs that are dependent on the hardware of computer 1200, such as a boot program that is executed by computer 1200 upon activation. The program is provided via a computer-readable recording medium such as a CD-ROM, USB memory or IC card or via a network. The program is installed in RAM 1214 or ROM 1230 , which are also examples of computer-readable recording media, and executed by CPU 1212 . The information processing described within these programs is read by computer 1200 to provide coordination between the programs and the various types of hardware resources described above. An apparatus or method may be configured by implementing information operations or processing according to the use of computer 1200 .

For example, when communication is performed between the computer 1200 and an external device, the CPU 1212 executes a communication program loaded into the RAM 1214 and sends communication processing to the communication interface 1222 based on the processing described in the communication program. you can command. The communication interface 1222, under the control of the CPU 1212, reads the transmission data stored in the transmission buffer area provided in the RAM 1214 or a recording medium such as a USB memory, transmits the read transmission data to the network, or Received data received from a network is written in a receive buffer area or the like provided on a recording medium.

The CPU 1212 also causes the RAM 1214 to read all or a necessary portion of a file or database stored in an external storage medium such as a USB memory, and performs various types of processing on the data on the RAM 1214. good. CPU 1212 may then write back the processed data to an external recording medium.

Various types of information, such as various types of programs, data, tables, and databases, may be stored on recording media and subjected to information processing. CPU 1212 performs various types of operations on data read from RAM 1214, information processing, conditional decisions, conditional branching, unconditional branching, and information retrieval, which are described throughout this disclosure and are specified by instruction sequences of programs. Various types of processing may be performed, including /replace, etc., and the results written back to RAM 1214 . In addition, the CPU 1212 may search for information in a file in a recording medium, a database, or the like. For example, if a plurality of entries each having an attribute value of a first attribute associated with an attribute value of a second attribute are stored in the recording medium, the CPU 1212 determines that the attribute value of the first attribute is specified. search the plurality of entries for an entry that matches the condition, read the attribute value of the second attribute stored in the entry, and thereby associate it with the first attribute that satisfies the predetermined condition. an attribute value of the second attribute obtained.

The programs or software modules described above may be stored in a computer-readable storage medium on or near computer 1200 . Also, a recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can be used as a computer-readable storage medium, whereby the program can be transferred to the computer 1200 via the network. offer.

A computer-readable medium may include any tangible device capable of storing instructions for execution by a suitable device. As a result, a computer-readable medium having instructions stored thereon provides an article of manufacture that includes instructions that can be executed to create means for performing the operations specified in the flowchart or block diagram. Examples of computer-readable media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, and the like. More specific examples of computer readable media include floppy disks, diskettes, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), electrically erasable programmable read only memory (EEPROM), static random access memory (SRAM), compact disc read only memory (CD-ROM), digital versatile disc (DVD), Blu-ray (RTM) disc, Memory sticks, integrated circuit cards, etc. may be included.

The computer readable instructions may comprise either source code or object code written in any combination of one or more programming languages. Source code or object code includes conventional procedural programming languages. Traditional procedural programming languages include assembler instructions, Instruction Set Architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state setting data, or Smalltalk, JAVA, C++. etc., and the "C" programming language or similar programming languages. Computer readable instructions may be transferred to a processor or programmable circuitry of a general purpose computer, special purpose computer, or other programmable data processing apparatus, either locally or over a wide area network (WAN), such as a local area network (LAN), the Internet, or the like. ) may be provided via A processor or programmable circuit may execute computer readable instructions to produce means for performing the operations specified in the flowcharts or block diagrams. Examples of processors include computer processors, processing units, microprocessors, digital signal processors, controllers, microcontrollers, and the like.
Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is obvious to those skilled in the art that various modifications and improvements can be made to the above embodiments. It is clear from the description of the scope of claims that forms with such modifications or improvements can also be included in the technical scope of the present invention.

The execution order of each process such as actions, procedures, steps, and stages in the devices, systems, programs, and methods shown in the claims, the specification, and the drawings is particularly "before", "before etc., and it should be noted that it can be implemented in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flow in the claims, the specification, and the drawings, even if the description is made using "first," "next," etc. for the sake of convenience, it means that it is essential to carry out in this order. not a thing

100 GHG emission derivation device 102 communication unit 104 storage unit 106 control unit 108 acquisition unit 110 determination unit 112 derivation unit 1200 computer 1210 host controller 1212 CPU
1214 RAM
1220 input/output controller 1222 communication interface 1230 ROM

Claims (6)

asset information indicating a first classification of the asset, a second classification obtained by further subdividing the first classification of the asset, and an activity amount of the asset; and a greenhouse gas unique to the asset assigned to each of the second classifications. (GHG) based on emission factor information indicating a primary emission factor that is an emission factor and a secondary emission factor that is a GHG emission factor common to a plurality of assets belonging to the first category assigned to each of the first categories a determination unit that determines whether or not the primary emission factor corresponding to the second category of the target asset is indicated in the emission factor information;
When the primary emission factor of the target asset is indicated in the emission factor information, derive the GHG emission amount of the target asset based on the primary emission factor of the target asset and the amount of activity of the target asset. , when the primary emission factor of the target asset is not indicated in the emission factor information, calculating the GHG emissions of the target asset based on the secondary emission factor of the target asset and the amount of activity of the target asset A GHG emissions derivation device comprising a derivation unit for deriving,
the activity amount of the asset is purchase volume, purchase price, energy usage, weight, or floor space;
the asset information further indicates GHG emissions of the asset;
The derivation unit derives the GHG emission amount of the target asset indicated in the asset information as a specific GHG emission amount of the target asset when the GHG emission amount of the target asset is indicated in the asset information. said device . 2. The GHG emissions derivation device according to claim 1 , wherein said asset information is accounting information. 3. The GHG emissions derivation device according to claim 2 , wherein said accounting information is information indicating a fixed asset ledger. 4. The GHG emissions derivation device according to claim 3 , wherein the first classification is the type of asset, and the second classification is an asset name or identification information that uniquely identifies the asset. A determining unit provides asset information indicating a first classification of an asset, a second classification obtained by further subdividing the first classification of the asset, and an activity amount of the asset, and asset information unique to the asset assigned to each of the second classifications. Emission factor information indicating a primary emission factor, which is a greenhouse gas (GHG) emission factor, and a secondary emission factor, which is a GHG emission factor common to a plurality of assets belonging to the first classification assigned to each of the first classifications; and determining whether the primary emission factor corresponding to the second category of the target asset is indicated in the emission factor information, based on
When the primary emission factor of the target asset is indicated in the emission factor information, the derivation unit calculates GHG emissions of the target asset based on the primary emission factor of the target asset and the amount of activity of the target asset. and if the primary emission factor of the target asset is not indicated in the emission factor information, based on the secondary emission factor of the target asset and the amount of activity of the target asset, and deriving GHG emissions, the method comprising:
the activity amount of the asset is purchase volume, purchase price, energy usage, weight, or floor space;
the asset information further indicates GHG emissions of the asset;
In the deriving step, when the GHG emission amount of the target asset is indicated in the asset information, the GHG emission amount of the target asset indicated in the asset information is used as the specific GHG emission amount of the target asset. deriving, the method as described above . asset information indicating a first classification of the asset, a second classification obtained by further subdividing the first classification of the asset, and an activity amount of the asset; and a greenhouse gas unique to the asset assigned to each of the second classifications. (GHG) based on the primary emission factor, which is an emission factor, and the emission factor information indicating the secondary emission factor, which is a GHG emission factor common to a plurality of assets belonging to the first category assigned to each of the first categories, a determination unit that determines whether or not the primary emission factor corresponding to the second classification of the target asset is indicated in the emission factor information;
When the primary emission factor of the target asset is indicated in the emission factor information, derive the GHG emission amount of the target asset based on the primary emission factor of the target asset and the amount of activity of the target asset. , when the primary emission factor of the target asset is not indicated in the emission factor information, calculating the GHG emissions of the target asset based on the secondary emission factor of the target asset and the amount of activity of the target asset A program for causing a computer to function as a derivation unit for deriving,
the activity amount of the asset is purchase volume, purchase price, energy usage, weight, or floor space;
the asset information further indicates GHG emissions of the asset;
The derivation unit derives the GHG emission amount of the target asset indicated in the asset information as a specific GHG emission amount of the target asset when the GHG emission amount of the target asset is indicated in the asset information. the said program .

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