New Business Simulation Program
The business simulation program addresses the challenge of predicting greenhouse gas emissions by calculating the transition of emissions based on industrial sector and business plan inputs, providing accurate predictions for informed decision-making.
Patent Information
- Application Number
- JP2021159064
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2021-09-29
- Publication Date
- 2025-06-23
- Estimated Expiration
- 2041-09-29
AI Technical Summary
It is challenging to predict and evaluate the transition of greenhouse gas emissions over time when implementing a new business, due to the wide range of parameters affecting emissions.
A business simulation program that receives input on the industrial sector and business plan, reads relevant statistical values from a reference table, and calculates the transition of greenhouse gas emissions, allowing for accurate prediction.
Enables companies to simply and accurately predict greenhouse gas emissions associated with new businesses, facilitating informed decision-making regarding business adoption.
Smart Images

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Abstract
Description
Technical Field
[0001] The present invention relates to a new business simulation program for evaluating greenhouse gas emissions associated with a new business.
Background Art
[0002] Enterprises are required to achieve sustainable growth. As one of them, reduction of greenhouse gas emissions associated with the implementation of a business is demanded. Therefore, a business evaluation method for evaluating the impact of a business plan on the power grid has come to be known (see, for example, Patent Document 1).
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] Against such a background, when implementing a new business, it is necessary to sufficiently consider not only its profitability but also the greenhouse gas emissions in advance. However, the parameters that affect greenhouse gas emissions cover a wide range, and it has been difficult to calculate the predicted values for each new business. In particular, when attempting to continuously implement the business over a certain period, it has been extremely difficult to predict and evaluate the transition of emissions during that period.
[0005] The present invention has been made to solve such problems, and provides a simulation program that simply and accurately predicts the transition of greenhouse gas emissions associated with the implementation of a new business.
Means for Solving the Problems
[0006] The novel business simulation program according to one aspect of the present invention causes a computer to execute a reception step of receiving designation of the industrial sector to which the novel business to be simulated belongs and input of a business plan including the planned duration and business scale of the novel business, a reading step of reading out relevant statistical values including statistical values corresponding to the industrial sector from a reference table including at least statistical values of Scope 1 and Scope 2 regarding greenhouse gas emissions by industrial sector, which are created based on business reports published by business operators, and an output step of calculating and outputting the transition of greenhouse gas emissions resulting from the implementation of the novel business based on the relevant statistical values and the business plan.
Advantages of the Invention
[0007] According to the present invention, since the transition of greenhouse gas emissions accompanying the implementation of a novel business can be predicted simply and accurately, a company can appropriately evaluate one aspect in deciding whether to adopt the novel business.
Brief Description of the Drawings
[0008]
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Embodiments for Carrying Out the Invention
[0009] Hereinafter, the present invention will be described through embodiments of the invention, but the invention according to the claims is not limited to the following embodiments. Also, not all of the configurations described in the embodiments are necessarily essential as means for solving the problems.
[0010] FIG. 1 is a diagram showing an environment in which the novel business simulation program according to the present embodiment is used. The novel business simulation program according to the present embodiment (hereinafter simply referred to as the "simulation program") is executed on an application server 100 which is a server of a company that examines a new business or a company that provides an application service. The application server 100 is connected to a network 900 which is the Internet or an intranet, and exchanges information with a mobile terminal 200 such as a user's smartphone and a PC terminal 300 such as a desktop personal computer via the network 900.
[0011] In the present embodiment, an example in which the PC terminal 300 operates in cooperation with the simulation program executed on the application server 100 will be described. That is, the user causes the application server 100 to execute the simulation program by operating the PC terminal 300. The PC terminal 300 is composed of a main body 310, a display monitor 320, an input device 330, and the like. When the user inputs various items by operating, for example, a keyboard or a mouse which is the input device 330, the user can display and confirm the simulation result calculated by the application server 100 on the display monitor 320.
[0012] In the present embodiment, an example in which the simulation program is executed on the application server 100 will be described, but the simulation program may be executed on individual user terminals such as the mobile terminal 200 and the PC terminal 300. In this case, the user terminal on which the simulation program is executed may not be connected to the network 900.
[0013] FIG. 2 is a diagram showing the hardware configuration of the application server 100. The application server 100 mainly includes an arithmetic unit 110, a storage unit 120, and a communication unit 130. The arithmetic unit 110 is a processor (CPU: Central Processing Unit) that controls the application server 100 and executes program processing. The processor may be configured to cooperate with arithmetic processing chips such as an ASIC (Application Specific Integrated Circuit) or a GPU (Graphics Processing Unit). In particular, the arithmetic unit 110 executes various processes related to the simulation of a new business according to a simulation program stored in the storage unit 120 or sent from an external device.
[0014] The storage unit 120 is a non-volatile storage medium, for example, constituted by an HDD (Hard Disk Drive). The storage unit 120 can store various parameter values, functions, look-up tables, learned models, etc. used for control and calculation, in addition to programs for controlling and processing the application server 100. In particular, the storage unit 120 stores an industry type table 121. Specifically, as will be described later, the industry type table 121 is a look-up table including at least the statistical values of Scope 1 and Scope 2 related to the greenhouse gas emissions for each industry type, created based on the business reports published by the business operators.
[0015] Note that the storage unit 120 may be constituted by a plurality of hardware. For example, a storage medium for storing programs and a storage medium for storing databases, etc. may be constituted by separate hardware. Also, the storage unit 120 may not be configured to be built into the application server 100. For example, it may be a storage device connected to the network 900.
[0016] The communication unit 130 is responsible for connecting to the network 900 and exchanging data with external devices, and is composed of, for example, a LAN unit. The communication unit 130 exchanges information with the network 900 according to the control of the arithmetic unit 110.
[0017] The arithmetic unit 110 also serves as a functional arithmetic unit that executes various arithmetic operations according to the processing instructed by the simulation program. The arithmetic unit 110 can function as an input acquisition unit 111 and a simulation unit 112. The input acquisition unit 111 acquires input information input to the user terminal, such as the industry type to which the new business to be simulated belongs, the planned duration of the new business, and the business plan including the business scale, via the network 900. The simulation unit 112 calculates, based on the input information acquired by the input acquisition unit 111 and the relevant statistical values read from the industry-specific table 121, the transition of greenhouse gas emissions resulting from the implementation of the new business, etc., and outputs it to the user terminal. Specific processing will be described later.
[0018] Next, the processing procedure of the simulation program executed on the application server 100 will be sequentially described using an example of a display screen displayed on the display monitor 320 of the PC terminal 300. FIG. 3 is an example of a user input screen displayed on the display monitor 320.
[0019] When the user executes the simulation program, an application window 401 including the title of "New Business Simulator", which is the name of the program, is displayed. An input window 402 is superimposed on the application window 401, and the input window 402 prompts the user to input various information related to the new business to be simulated, together with the title of "Please input information of the new business".
[0020] The input window 402 specifically accepts the input of a new business name, the industry category to which the new business belongs, and information regarding the business plan. The user inputs, for example, "floating solar power generation" via the input device 330 into the input box 411 provided beside the item name "new business name". Also, the user expands the selection box 412 and selects "civil engineering" as the industry category to which "floating solar power generation" belongs. Various industry categories are prepared in advance as options in the selection box 412.
[0021] The user further inputs a business plan for "floating solar power generation". Here, the business plan is configured to accept the input of the planned duration of the business and the estimated sales. Specifically, the user inputs, as the planned duration, when the business will start (nearest) and end (farthest), and as the estimated sales, what the nearest amount will be and what the farthest amount will be.
[0022] In this embodiment, estimated sales are accepted as the business scale, but other parameters representing the business scale may be accepted. For example, operating profit may be accepted, or further, the investment amount and the number of employees may be accepted as auxiliary parameters. Also, the input format is not limited to this, and estimated sales may be inputtable on an annual basis, or the business suspension period may be inputtable.
[0023] When the user moves the cursor 420 to the cancel button 422 and presses it, the input information is cleared and re - input becomes possible. On the other hand, when the user moves the cursor 420 to the OK button 421 and presses it, the input new business information is confirmed and transmitted to the application server 100. The input acquisition unit 111 of the application server 100 acquires the new business information via the communication unit 130. If there are other new businesses that the user wants to evaluate collectively, such operations can be repeated to input each new business information. The input acquisition unit 111 acquires each input new business information via the communication unit 130.
[0024] Figure 4 is an example of a confirmation screen for a new business to be simulated. In the app window 401, together with the title "Do you want to simulate the following new business?", each piece of new business information input via the input window 402 is displayed as a list. In the example of the figure, it shows a list when inputs have been made for four new businesses (offshore solar power generation / power transmission system / wind power generation / offshore solar power generation).
[0025] When the user moves the cursor 420 to the cancel button 422 and presses it, the screen transitions to a screen that accepts input of additional new businesses or accepts deletion of the new business information that has already been input. On the other hand, when the user moves the cursor 420 to the OK button 421 and presses it, a start request signal for simulation calculation is transmitted to the application server 100.
[0026] When the simulation unit 112 of the application server 100 acquires the start request signal via the communication unit 130, it executes calculation processing for simulation based on the input information acquired by the input acquisition unit 111 and the related statistical values read from the industry type table 121. The main procedures of the calculation processing will be described below.
[0027] Figure 5 is an example of an aggregated statement of business operator reports. The aggregated statement of business operator reports is an aggregated statement regarding greenhouse gas emissions and business performance, created by aggregating business reports published by actual business operators.
[0028] The aggregated statement of business operator reports used in this embodiment shall include information such as the business operator name, affiliated industry type, Scope 1, Scope 2, sales amount, and operating profit for each business operator that publishes information. The affiliated industry type represents the industry type of the main business operated by the business operator, and one is selected from a plurality of preset industry types. Here, the plurality of preset industry types corresponds to the options of industry types that can be selected in the input window 402.
[0029] Scope 1 represents the direct emissions of greenhouse gases by the operator itself. For example, it includes greenhouse gases emitted by fuel combustion or industrial processes. Scope 2 represents the indirect emissions associated with the use of electricity, heat, etc. supplied by other companies. For example, if electricity from renewable energy is used, the amount can be reduced. In this embodiment, Scopes 1 and 2 are the targets of simulation. However, as supply chain emissions, there is also Scope 3 in addition to Scopes 1 and 2. Scope 3 refers to all other indirect emissions other than Scopes 1 and 2. For example, it represents the emissions in the procurement relationship located upstream of corporate activities and the emissions after shipment corresponding to the downstream. The simulation program may calculate up to Scope 3.
[0030] The sales amount and operating profit each represent the amount for one year in a certain year. The calculation unit 110 may obtain such a business operator report summary table from the website of the issuing organization, or may separately collect business reports from the websites of each business operator and create them. Alternatively, it may be created based on data input by an administrator or the like based on the business reports of each business operator.
[0031] The calculation unit 110 creates an industry type table to be used as a reference table in the simulation calculation from the business operator report summary table obtained in this way. FIG. 6 is an example of the industry type table 121. The industry type table includes statistical values of Scopes 1 and 2 for each industry and the averaged profit rate. The industries set in the industry type table correspond to the industries in the business operator report summary table.
[0032] The statistical values of Scope 1 and 2 adopted in the industry type table are the greenhouse gas emissions per unit sales in that industry. Here, the emissions per 1 million yen of sales (t) are adopted. When calculating the statistical value of Scope 1 for the industry type "management services", for example, the calculation unit 110 first extracts all the operators with the industry attribute of "management services" from the operator report summary table. Then, it calculates the total sales and the total Scope 1 emissions of the extracted operators. Furthermore, it calculates the emissions per 1 million yen of sales from these and uses it as the statistical value of Scope 1. The statistical value of Scope 2 is calculated in the same way.
[0033] The profit rate is the ratio of operating profit to sales in that industry. When calculating the profit rate for the industry type "management services", for example, the calculation unit 110 extracts all the operators with the industry attribute of "management services" from the operator report summary table in the same way as above. Then, it calculates the total sales and the total operating profit of the extracted operators. Furthermore, it divides the total operating profit by the total sales to obtain the profit rate.
[0034] The calculation unit 110 summarizes the statistical values of Scope 1 and 2 for each industry type and the averaged profit rate calculated in this way as a reference table and stores it in the storage unit 120 as the industry type table 121. Here, an example where the calculation unit 110 creates the industry type table 121 from the operator report summary table has been described, but it may also be possible to obtain one created by an external server or the like.
[0035] When the OK button 421 is pressed in Figure 4 and the application server 100 acquires a start request signal requesting the start of simulation calculation, the simulation unit 112 refers to the relevant statistical values (statistical values of Scope 1 and 2, profit rate) read from the industry type table 121 for the input information acquired by the input acquisition unit 111 and executes arithmetic processing for simulation. Specifically, the arithmetic processing is mainly executed according to the following procedures.
[0036] For the k-th new business No.k among the input new businesses, check the industry to which it belongs. Then, read out the relevant statistical values corresponding to the industry from the industry-specific table 121. For example, for business No.1 "Offshore solar power generation" in the example of FIG. 4, confirm that the industry to which it belongs is "Civil engineering", and read out the statistical value of Scope 1 "0.836", the statistical value of Scope 2 "0.504", and the profit rate "8.8%" from the "Civil engineering" industry in the industry-specific table 121.
[0037] Next, calculate the assumed sales for each year during the sales period of new business No.k. Here, the assumed sales for each year are calculated by linear interpolation from the most recent sales and the farthest sales. For example, for business No.1 "Offshore solar power generation" as well, the sales period is 10 years from 2021 to 2030, and the sales in 2021 are assumed to be 3.5 billion yen, and the sales in 2030 are assumed to be 0 yen. Therefore, when calculating the assumed sales for each year by linear interpolation, the sales in 2022 are calculated to be approximately 3.11 billion yen, the sales in 2023 are calculated to be approximately 2.72 billion yen...
[0038] Once the assumed sales for each year are calculated, calculate the greenhouse gas emissions of Scope 1 and Scope 2 corresponding to the assumed sales. In this embodiment, the statistical values of Scope 1 and 2 are the greenhouse gas emissions per 1 million yen of sales. Therefore, by dividing the assumed sales for each year by 1 million and multiplying by the respective statistical values, the greenhouse gas emissions of Scope 1 and Scope 2 for the corresponding year can be calculated respectively. For example, for business No.1 "Offshore solar power generation" as well, since the sales in 2021 are 3.5 billion yen, dividing 3.5 billion by 1 million and multiplying by the statistical value of Scope 1, which is 0.836, it can be calculated that the greenhouse gas emissions of Scope 1 assumed for 2021 are 2926t. Similarly, the greenhouse gas emissions of Scope 2 can be calculated to be 1764t.
[0039] In this way, for each new business to be simulated, the greenhouse gas emissions of Scope 1 and Scope 2 for each year during the assumed sales period are calculated. Then, for the same year among the new businesses, the calculated values are added together. For example, for the year 2025 in the example of Figure 4, sales of Business No. 1 "Offshore Solar Power Generation" and Business No. 2 "Power Transmission System" are assumed. Therefore, the total amount of greenhouse gas emissions of Scope 1 in 2025 is the sum of the greenhouse gas emissions of Scope 1 calculated from Business No. 1 and the greenhouse gas emissions of Scope 1 calculated from Business No. 2.
[0040] In this way, the greenhouse gas emissions of Scope 1 and Scope 2 for each year during the sales period of the new business to be simulated can be calculated. That is, the transition of greenhouse gas emissions caused by the implementation of the new business can be simulated.
[0041] In this embodiment, in addition to the transition of greenhouse gas emissions, the transitions of sales and profit margins during the sales period of the new business are also simulated. As described above, the assumed sales for each year during the sales period of New Business No. k are calculated by linear interpolation from the most recent sales and the farthest sales. Therefore, for the same year among the new businesses, by adding together the assumed sales calculated respectively, the total sales for each year during the sales period can be calculated. That is, the transition of the sales of the new business can be simulated.
[0042] Also, by multiplying the sales calculated for each year of each new business by the profit margin read from the industry-specific table 121, the operating profit for each year can be calculated. Then, for the same year among the new businesses, by dividing the total amount of the added operating profits by the total amount of the added sales, the profit margin for each year during the sales period can be calculated. That is, the transition of the profit margin of the new business can be simulated.
[0043] The simulation unit 112 outputs, as simulation results, the trends of the greenhouse gas emissions and the trends of sales and profit margins calculated as described above to the PC terminal 300 via the communication unit 130. The PC terminal 300 arranges the received simulation results on an output screen including, for example, a graph, and displays them on the display monitor 320.
[0044] Figure 7 is an example of the output screen. As shown in the figure, an application window 401 that displays the title of "Simulation Results" includes two output windows 403.
[0045] In the first output window 403, a graph representing the trend of greenhouse gas emissions is displayed. Specifically, the horizontal axis represents the year, the vertical axis represents the greenhouse gas emissions (kt), and the emissions in each year are represented by a stacked bar graph so that the breakdown between Scope 1 and Scope 2 can be visually recognized. Also, a transition button 424 is arranged within the output window 403. For example, if there is a year after the rightmost year, a right arrow button is displayed so that it can be pressed. The user can scroll the graph so that a year after the rightmost year is displayed by aligning the cursor 420 with the right arrow and pressing it.
[0046] In the second output window 403, a graph representing the trends of sales and profit margins is displayed. Specifically, the horizontal axis represents the year, the left vertical axis represents sales (in millions of yen), the right vertical axis represents the profit margin (%), and the sales in each year are represented by a bar graph and the profit margin is represented by a line graph. Similar to the first output window 403, a transition button 424 is also arranged within the second output window 403, and the user can scroll the graph left and right.
[0047] In addition, in this embodiment, the transition of the predicted profit due to the implementation of the new business was indirectly shown by showing the transitions of the sales and the profit margin. However, the operating profit may be calculated by multiplying the sales in each year by the profit margin of that year, and this transition may be shown as the transition of the predicted profit. Also, in this embodiment, considering visibility, the transitions were expressed using two output windows 403. However, the method of expressing the simulation results is not limited to this example, and they may be expressed together in one output window 403, or other visual effects such as coloring and animation may be used.
[0048] Here, the processing flow executed by the simulation program in the application server 100 is organized. FIG. 8 is a flowchart showing the processing procedure processed by the application server 100. Note that in the following flow, not all the processes described so far will be explained, but only the main processes will be explained.
[0049] In step S101, the input acquisition unit 111 receives the designation of the industry type to which the new business to be simulated belongs, and the input of the business plan including the planned duration and business scale of the new business. Specifically, these input information input on the user terminal are acquired via the network 900. The input acquisition unit 111 delivers the acquired input information to the simulation unit 112. After all the input information to be simulated has been acquired and a start request signal for the simulation calculation is received from the user terminal, it proceeds to step S102.
[0050] In step S102, the simulation unit 112 reads out the relevant statistical values corresponding to the industry type of the new business to be simulated from the industry type table 121 stored in the storage unit 120. The relevant statistical values include the statistical values of scope 1 and scope 2 and the profit margin for each industry type.
[0051] The simulation unit 112 proceeds to step S103, and calculates the greenhouse gas emissions of Scope 1 and Scope 2 for each year during the sales period of the new business to be simulated as described above. Also, the sales and profit rates for each year are calculated. Then, in step S104, the calculated simulation results are converted into data as the transition of greenhouse gas emissions and the transition of predicted profits, and output to the user terminal. When the output process is completed, the series of processes ends.
[0052] Next, a first modification example of the above-described embodiment will be described. In the above-described embodiment, without considering what kind of energy each operator listed in the business operator report summary used, the greenhouse gas emissions resulting from the aggregation were calculated to obtain the statistical values of Scope 1 and 2 for each industry type in the industry type table. However, if the breakdown of the energy types used by each operator is disclosed, the statistical values of Scope 1 and 2 can also include information on what kind of energy was consumed to calculate the values.
[0053] If the statistical values of Scope 1 and 2 including such breakdown information of energy types are prepared in the industry type table, it is possible to calculate the transition of greenhouse gas emissions considering the energy types to be used in the new business. Specifically, in the input window 402, an input of the energy types to be used as items in the business plan of the new business is accepted. For example, it is possible to input a plan such as using 30% of the electricity procured from outside as hydroelectric power or using 50% of the fuel as biodiesel, and these information are accepted.
[0054] The simulation unit 112 calculates the greenhouse gas emissions considering the difference between the energy types to be used in the new business and the energy types in the statistical values of Scope 1 and 2. For example, if the statistical value of Scope 2 is calculated assuming 100% use of electricity generated by thermal power, in the case of a plan to use 30% of hydroelectric power in the new business, the emissions of Scope 2 can be calculated by multiplying the statistical value of Scope 2 by 0.7.
[0055] Note that since the costs generated for each type of energy used are also different, it is advisable to associate information on the corresponding costs with each energy type. If such cost information is associated, it is possible to calculate the sales and profit margins according to the type of energy used.
[0056] Next, a second modification example of the above-described embodiment will be described. In the above-described embodiment, only the new business was targeted for simulation. However, in order for a company to achieve sustainable growth, it is necessary to evaluate a new business in consideration of its relationship with the existing business. Therefore, a simulation of the new business is performed based on the past performance and future projections of the existing business.
[0057] Specifically, first, the input acquisition unit 111 acquires the past performance values of scope 1 and scope 2 in the existing business and the future business plan of the existing business. The past performance values of scope 1 and scope 2 are acquired, for example, from a management server that manages the existing business. Also, the future business plan is acquired by receiving the user's input on the user terminal in the same manner as the business plan of the new class.
[0058] The simulation unit 112 calculates the future transition of greenhouse gas emissions for the existing business as well. However, for the existing business, instead of referring to the statistical values of scope 1 and scope 2 in the industry type table, it is calculated by referring to the past performance values of scope 1 and scope 2 in the existing business. The simulation unit 112 outputs the transition of greenhouse gas emissions calculated in this way together with the transition of greenhouse gas emissions for the new business. When displaying as a graph on the user terminal, the transition for the existing business and the transition for the new business may be combined and displayed, or they may be displayed separately.
[0059] In addition, the simulation unit 112 can also calculate and output the changes in sales and profit margins based on the existing business. In this way, by outputting the changes in the new business together with the existing business, the user can more accurately evaluate the impact of the new business on corporate management.
[0060] In the present embodiment described including the above modifications, as shown in FIG. 1, it is assumed that the application server 100 executes the simulation program. However, the environment in which the simulation program is executed is not limited to this. For example, the simulation program may be executed on the PC terminal 300 which is a user terminal. In this case, the parameters and lookup tables used for the calculation may be acquired from an external device via the network 900.
[0061] Also, the simulation program can be realized, for example, in a format that accepts input of each item in an input cell set in spreadsheet software and outputs the calculation result to an output cell for the input. In this case, a graph display can be executed by referring to the value of the output cell. Even in such a simple format, a certain simulation result can be expected.
[0062] As described above, by using the new business simulation program according to the present embodiment, the transition of greenhouse gas emissions associated with the implementation of the new business can be predicted simply and accurately. Therefore, a company can appropriately evaluate one aspect in deciding whether to adopt the new business. In particular, since the emissions of greenhouse gases can be affected by many parameters, it has been difficult to calculate them by reflecting each of them one by one in reality. However, in the present embodiment, by classifying the business by industry type and creating and referring to an industry type table supported by past performance, a relatively accurate result can be obtained simply. In addition, since the greenhouse gas emissions can be predicted for each scope as a breakdown, it is easy to formulate an action plan for the reduction effort. Also, in addition to the transition of greenhouse gas emissions, the profit prediction as a business can be grasped, so the new business can be appropriately evaluated from the perspective of corporate growth.
[0063] In addition, when outputting the simulation results more simply, the emissions of greenhouse gases may be aggregated and output annually without classifying them by scope. Also, regarding the transition of the predicted profit due to the implementation of a new business, for example, if a more accurate simulator is separately prepared, the simulation program may be configured not to output it.
Explanation of Signs
[0064] 100… Application server, 110… Arithmetic unit, 111… Input acquisition unit, 112… Simulation unit, 120… Storage unit, 121… Industry type table, 130… Communication unit, 200… Mobile terminal, 300… PC terminal, 310… Main body, 320… Display monitor, 330… Input device, 401… Application window, 402… Input window, 403… Output window, 411… Input box, 412… Selection box, 420… Cursor, 421… OK button, 422… Cancel button, 424… Transition button, 900… Network
Claims
1. A reception step of receiving a designation of an industry category to which a new business to be simulated belongs and an input of a business plan including a planned duration and scale of the new business; A reading step of reading out relevant statistical values including the statistical values of at least Scope 1 representing direct emissions by the operator himself and Scope 2 representing indirect emissions associated with the use of energy supplied from other companies, which are created based on the business reports published by the operator, from a reference table including the statistical values for each industry category; An output step of calculating and outputting the transition of greenhouse gas emissions resulting from the implementation of the new business based on the relevant statistical values and the business plan; A new business simulation program for causing a computer to execute the above steps.
2. The new business simulation program according to Claim 1, wherein the output step calculates and outputs the transition of greenhouse gas emissions by at least classifying them into Scope 1 and Scope 2.
3. The reading step reads out the profit rate corresponding to the industry category as one of the relevant statistical values from the reference table; The output step calculates and outputs the transition of predicted profit resulting from the implementation of the new business based on the relevant statistical values and the business plan. The new business simulation program according to Claim 1 or 2.
4. The reception step receives the type of energy to be used as one of the business plans; The output step calculates and outputs the transition of greenhouse gas emissions and the transition of predicted profit based on the relevant statistical values and the business plan. The new business simulation program according to Claim 3.
5. Causing a computer to execute an acquisition step of acquiring the Scope 1 and Scope 2 performance values regarding the greenhouse gas emissions in the existing business up to now and the future business plan of the existing business, The output step calculates and outputs the transition of greenhouse gas emissions resulting from the implementation of the existing business and the new business. The new business simulation program according to any one of claims 1 to 4.
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