Learn More The USEEIO Modeling Framework for USEEIO v2.09 provides an overview of the source code along with links to useeior and supporting software packages. Depending on the source, scope 3 emissions can be quantified using either primary data specific to the activity within a company's value chain or secondary data such as industry averages, proxy data, or other generic data. The result is available in the National Criteria and Hazardous Air Pollutant Totals By Industry 2017 v1.1 dataset32. A .gov website belongs to an official government organization in the United States. An official website of the United States government. 20. where mf is the column representing the flow of interest from the M matrix, and cn is the transposed row representing the indicator of interest from the C matrix. The 562000 commodity represents over 97% of the industrys total output. The full names of the indicators in the columns are given in Table3. In Eq. This can be represented in unit form in Eq. For the disaggregated waste management sectors, these rows represent the use of the disaggregated waste management service commodities by industries. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. To obtain 26. where HRoW is the contribution from Rest of World, and Hd is the contribution from the US. U.S. EPA Supply Chain Greenhouse Gas Emission Factors for U.S. Commodities and Industries The U.S. EPA Supply Chain Emission Factors for U.S. Industries and Commodities dataset is a comprehensive set of supply chain emission factors covering all categories of goods and services in the U.S. economy. environmental pollution waste material air pollution water pollution, economic input-output data environmental release data resource use data. This information is used to perform a default allocation of the expenses of the disaggregated waste management sectors along the Use table columns, except for the waste management sectors intersection and the value-added sectors. N combines each economic, flow and indicator component. The 2012 BEA IO tables include the sector Waste management and remediation services (562000), both as an industry and commodity. For each of the tables, these sections are the table rows, columns, and intersections. Model validation and output writing are also performed in simple statements. These include values such as the carbon dioxide equivalencies of the flows that are greenhouse gases. )2, therefore all environmental data was adjusted to be in 2013 US Dollars (USD). http://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/Chemical_Use/ (2016). Waste commodity consumption is concentrated within a few sectors, with 55% of the commodity consumed by the top five sectors. The literature assessing the environmental impacts of household consumption is mostly focused on developed economies, thus, leaving a critical gap when it comes to assessing the impacts of household consumption and of related environmental policies in developing countries . Step 3: Improve and expand emissions estimate over time. The IO transactions for the Use table intersection are assigned based on material flows between the disaggregated sectors, using RCRAInfo data as the main data source. National biennial hazardous waste report 2017. https://www.epa.gov/hwgenerators/biennial-hazardous-waste-report (U.S. Environmental Protection Agency, 2018). Thus, the flows from the 5-digit sectors must be allocated to the USEEIO sectors. Aquaculture and Thermoelectric withdrawals are assigned to the 4-digit NAICS codes 1125 and 2211, respectively. These footprints can be calculated by performing a model calculation as in Eqs. Using research and expertise from staff to guide us, we are committed to improving WRI's environmental performance. Public Land Statistics 2007. The Make table is an industry x commodity matrix with USD annual output of commodity i produced per industry j in USD; the Use table is commodity x industry matrix with amount of commodity i, in USD, used to by industry j to provide a good or service. Although QCEW employment data is one of the main sources in the creation of the National Employment Matrix, the National Employment Matrix also incorporates data from the Occupational Employment Statistics program (OES), the Current Employment Statistics program (CES), and the Current Population Survey (CPS)60. 1b, rankings reveal some minor shifting of positions. 1. Prod. Water-Use Terminology. The EEIO sector determines the region and sector-based factors which are used for estimating financed emissions. To achieve more granular results for 6-digit NAICS, Water_national_2015_m1 uses acreage data for 64 crops from the USDA Census of Agriculture (CoA) data48. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1524314 (2021). Two matrices are provided that enable price adjustments in the model coefficient matrices (B, D, M, or N). Wesley W. Ingwersen. v2.0 relies on the BLS QCEW data for the employment satellite table to maintain a consistent employment data source throughout all environmental accounts, as BLS QCEW is used as an allocation source. Corn products shows a substantial increase in total CRHW relative to similar sectors. Internet Explorer). The values in P are commodity-specific deflation ratios where a value of Pc,y is a ratio of model USD:year y USD for commodity c. Values in P are prepared with Eq. Ingwersen, W., Li, M., Young, B., Vendries, J. Technol. Chemical releases to water are sourced from 2017 facility reported emissions data from the Toxic Release Inventory (TRI)29 and the Discharge Monitoring Report (DMR)33. Metadata Updated: January 28, 2022 Tables presenting supply chain and margin emission factors and data quality scores for US commodities and industries calculated from USEEIO models at two levels of commodity/industry categorization, detail and summary, for both industries and commodity, and annually from 2010-2016. In v2.0, the USDA CoA land in farms data are used as an allocation source, rather than as a primary data source. In flowsa, source classification codes are used to allocation emissions to one or more NAICS through activity-to-sector mapping files. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1522414 (2021). Resour. QCEW publishes national annual employment at the 6-digit NAICS; no additional allocation is required for use in v2.0. Quantifying scope 3 emissions can be broken into three steps: Step 1: Determine relevant scope 3 categories. The attribution methodology for the remaining water categories follows Rehkamp et al.s sector attribution approach46. The major challenge with this section is establishing accurate IO transactions between the disaggregated sectors by using both monetary and material flow data. 7. Recycl. The Recycling Economic Information (REI) Report, a primary output of the Recycling Economic Information (REI) Projectrelieson environmental and economic input-output methodologies for estimating environmental and economic impacts associated with recycling. National totals of flows (physical movements of specific resources, emissions or employment) by industries are used as the sources of environmental and employment data. (Sheet CO2 KWH ELE & HEAT) CO 2 However, revisions to mappings between SCC codes and sectors, and updates in data collection lead to some notable differences in sector emissions including: Increase in emissions for construction sectors. For the disaggregation procedure, we assume that each disaggregated industry only produces its own disaggregated commodity; in other words, there is no off-diagonal production of waste management services in the intersection. For v2.0, national totals by sector are modeled by NAICS 6-digit codes. The totals for household, investment, and government consumers in the Use table include consumption of direct imports as positive values. CO2 emissions (metric tons per capita). 9. Net public supply is calculated by subtracting public supply deliveries to domestic to avoid double counting, then assigned to NAICS 221310. SMOG impacts are driven by emissions of NO2 and volatile organic compounds (VOCs). How are emission factors developed? U.S. EPA, 2020. U.S. Energy Information Administration https://www.eia.gov/electricity/data/eia923/archive/xls/f923_2014.zip (2014). Flow loss may result from invalid NAICS codes. In v2.0, these land use categories are allocated to sectors using BLS employment data43. Emissions from purchased goods and services and capital goods represent a significant emissions source for many organizations. Emissions from purchased goods and services and capital goods, referred to as Scope 3 emissions in the Greenhouse Gas Protocol Scope 3 Accounting and Reporting Standard, represent a significant emissions source for many organizations. 2010 Manufacturing Energy Consumption Survey. In contrast, in USEEIO v1.2, the comparable value added coefficients varied from ~0.51.5, because of a method to approximate 2016 value added from summary level data to pair with the 2007 Use table6 that led to a departure from this identity. s is the product of L and the given final demand vector, y, as shown in Eq. figshare https://doi.org/10.6084/m9.figshare.17145878.v1 (2022). The decline in impact intensity for Tobacco, cotton, sugarcane, peanuts, sugar beets, herbs and spices and other crops is attributed to correcting an error in the v1.2 calculation. Please click here to see any active alerts. A key part of this commitment is measuring and reporting the climate-warming emissions that we produce according to the . These factors were prepared using USEEIO models, which are a life cycle models of goods and services in the US economy. 14). Complete Hr and Hf matrices with results for all indicators and by sector are available online73. sectors in an EEIO model) that drive a particular indicator value is a conventional analytical practice in life cycle assessment18. Ingwersen, W. et al. The equivalent value is 1.44E-5in v1.2 (sheet B, cell D681 of)71. In Water_national_2015_m1, these water withdrawal categories are attributed to sectors using additional data sources for allocation, when necessary. Natural gas also saw a larger decrease relative to other sectors. Therefore, BEA code 1111A0 should be connected to all these NAICS codes in order to form a complete BEA-NAICS correspondence. We use three kinds of cookies on our websites: required, functional, and advertising. The first step is a relevance assessment to determine which of the 15 categories are relevant to the reporting organization. HRSP impacts are driven by particulate emissions, and to a lesser extent in agricultural sectors, ammonia emissions. 6, 3392, https://doi.org/10.21105/joss.03392 (2021). Rev. This report, Supply Chain Greenhouse Gas Emission Factors for U.S. Industries and Commodities, describes the preparation of those factors with a background on the modeling associated with this preparation, and presents extensive analysis of the factors, including supporting equations and results in two appendices. led on the disaggregation methodology and associated software development in useeior, and wrote the associated section in the manuscript. Tobacco, cotton, sugarcane, peanuts, sugar beets, herbs and spices, and other crops fell 14 places, apparently to decreased water consumption. The validation results show that the model passes the check shown in Eq. Quarterly census of employment and wages 2012. https://www.bls.gov/cew/downloadable-data-files.htm (U.S. Bureau of Labor Statistics, 2020). Coverage of these data used in v2.0 is equivalent to that from v1.2 as seen in Table2. The satellite tables contain the resource use and environmental releases mapped to the original Waste Services and Remediation Services sector. 2021 edition of the Emission factors data package. Using BLS QCEW for the employment model allows for a consistent data source for all employment data used throughout model construction. The operator is used for elementwise multiplication in contrast with no symbol between adjacent matrices or vectors which denotes a matrix multiplication. Only two categories use a specific method (e.g., supplier-specific method, fuel-based method) in year one and seven in year five. Crop irrigation water withdrawal is initially calculated by determining water withdrawal for individual crops. Sign up for the Nature Briefing newsletter what matters in science, free to your inbox daily. C.B. Report out, Q&A and closing. Report No. EPA/600/R-19/092 https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=347251 (U.S. Environmental Protection Agency, 2019). 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