Spatial Ecosystem Value Evaluation Across Supply Chain Propagation
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Solution Overview
Problem
Existing methods for evaluating non-financial value of corporate activities fail to consider the spatial propagation of environmental influences through supply chains, leading to inaccurate assessments.
Innovation Solution
A data evaluation device that collects and integrates data on business activities, environmental ecosystems, and social capital to generate constraint models and calculate imputed prices considering the influence on ecosystem functions through both natural and supply chain propagation paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods for evaluating non-financial value are used, then the evaluation process is simple, but the measurement precision of environmental influence is insufficient
Solution Approach 1:
The evaluation system is segmented into multiple functional modules: data collection module (collecting business activity data, ecosystem data, social capital data), information integration module (generating region-ecosystem function expressions and corporation-ecosystem function expressions), constraint model generation module (creating first and second constraint models representing different propagation paths), and imputed price calculation module. This segmentation allows each module to handle specific aspects of the complex evaluation task, improving measurement precision while managing system complexity through modular design.
Solution Approach 2:
The patent introduces intermediary elements such as region-ecosystem function expressions, corporation-ecosystem function expressions, and constraint models that mediate between raw data and final evaluation results. These intermediaries transform complex environmental influence data into structured representations that can be systematically analyzed, thereby improving measurement precision without overwhelming system complexity.
2Reliability
If spatial propagation of environmental influence is not considered, then the evaluation is simpler, but the reliability of non-financial value assessment deteriorates
Solution Approach 1:
The patent applies dynamics by modeling the spatial propagation of environmental influence as a dynamic process through constraint models. The first constraint model represents natural propagation paths of ecosystem functions, while the second constraint model represents supply chain propagation paths. This dynamic modeling approach captures the evolving nature of environmental influences across different regions and time periods, significantly improving the reliability of non-financial value assessment.
Solution Approach 2:
The patent introduces spatial dimensions into the evaluation system by considering multiple regions and their interconnections through propagation paths. The region-ecosystem function expressions and corporation-ecosystem function expressions incorporate spatial coordinates and regional characteristics, transforming a one-dimensional corporate evaluation into a multi-dimensional assessment that accounts for geographic distribution and spatial relationships. This dimensional expansion enhances reliability by capturing the full scope of environmental influences.
3Adaptability or versatility
If multiple propagation paths are analyzed, then the comprehensiveness of environmental impact evaluation is improved, but the loss of information increases due to data complexity
Solution Approach 1:
The patent transforms complex propagation path data into standardized parameter representations through constraint models. By converting diverse environmental influence data into uniform mathematical expressions with defined parameters (region-ecosystem function expressions, corporation-ecosystem function expressions), the system maintains comprehensiveness across multiple propagation paths while preventing information loss through systematic parameterization and structured data organization.
Data Source
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AI summary
Non-financial value of a corporation is accurately evaluated with spatial propagation of an influence that corporate activities have on the environment taken into consideration. A data evaluation device (1) of the present invention includes an information integration section (22) that generates a first constraint model representing natural resilience of ecosystem functions in an analysis target region, an influence that an analysis target corporation has on the ecosystem functions, and a first propagation path of interaction of the ecosystem functions between the analysis target regions and generates a second constraint model representing a second propagation path of an influence that business activities of the analysis target corporation have on the ecosystem functions through a supply chain. The data evaluation device (1) includes also an imputed price calculation section (23) that calculates an imputed price of the business activities of the analysis target corporation under a constraint condition including an influence on the ecosystem functions through the first propagation path and the second propagation path by using a utility function including two variables of the economic scale of the analysis target region and abundance of an ecosystem in the analysis target region, and an output section (24) that displays the imputed price.