FairSupply - Carbon Emissions Scope 3 footprint
Data category
Environmental data
The data offers solutions for:
- Carbon footprinting
- Investment decisions and portfolio insight
- Reporting: CSRD
- Reporting: Other Regulations
- Reporting: SFDR
- Reporting: TCFD
- Reporting: UN SDGs
Who are the data users?
- Corporates
- Financial institutions
- Government
- Investors
- Trustees
Brief description of the data offering
FairSupply assesses the full scope 1,2,3 value chain emissions of suppliers and investee companies in accordance with the GHG Reporting protocol definition. FairSupply’s assessment extends to tier 10 of the reporting company’s supply chains. Unlike make conventional approaches to emissions assessments, FairSupply’s approach leverages large amounts of global industry- and trade data and emissions data in combination with high-performance computing to offer fully automated, in-depth supply chain mapping and carbon assessment. This approach reduces the effort for reporting companies drastically while extending the level of insight and detail in the assessment. FairSupply can offer first-time, full scope 1,2,3 assessments for those that are starting their carbon reporting journey, and is also able to seamlessly integrate with previous reporting activities by adding new dimensions of detail and insight to already existing scope 1,2,3 assessments. FairSupply provides both upstream and downstream emissions.
Where and how do you source your data?
FairSupply’s proprietary supply chain assessment methodology is powered by our sophisticated Integrated Assessment Engine (IAE). The backbone of this IAE is a highly detailed, purpose-built in-house Multi-Region Input Output (MRIO) database. Our assessment methodology covers more than 1.6 billion monetary transaction nodes globally, allowing unprecedented visibility of the global supply chains which support operations and investment portfolio companies.
The global MRIO table that FairSupply has developed is based on 150-200 individual data sets and covers over 200 countries. In total, FairSupply’s MRIO table records more than 1.6 billion monetary transactions, mapping in total more than 40 billion supply chains.
MRIO tables are large-scale matrices that record the different financial transactions between different economic sectors. MRIO analysis is a highly complex, data intensive inter-disciplinary field that requires in-depth mathematical understanding, broad economic knowledge, as well as knowledge in accounting to be carried out. Within FairSupply, MRIO analysis forms the backbone for any supply chain assessment.
The MRIO supply chain data base is built out of several hundred data sources, including:
- More than 80 national accounting frameworks
- The Comtrade dataset provided by the United Nations Statistics Division (UNSD)
- The UNSD main aggregated dataset
- The UNSD official country dataset
- FAOSTAT agricultural dataset
- Various EUROSTAT databases
- UNSD ServiceTrade database
- Asian Development Bank IO data sources
- OECD ICIO database
The emissions data source is primarily based on:
- The Potsdam Institute for Climate Change’s PRIMAP database
- The EDGAR emissions database
What is the cost for your data offering?
Most of FairSupply’s customers pay around A$30,000 for an annual subscription per dataset. Prices are volume-based.
What are the key attributes that differentiates the data you offer?
FairSupply provides whole of supply chain ESG risk visibility and can provide measurements of both upstream and downstream emissions. Our data covers approximately 98% of global GDP making it possible to assess almost any company.
Often, only upstream emissions that are not included in the Scope 2 emissions are considered as scope 3 emissions, but downstream emissions that as associated with the sale of products or services by a company are also included. FairSupply provides both upstream and downstream emissions.
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Ready to measure Scope 3 emissions across your entire value chain? FairSupply’s Carbon Emissions footprint provides highly-detailed, fully automated value chain risk visibility.
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