Pathzero US EEIO Emissions Factors This then must be further transformed into commodity form before use, which is done so by multiplication with the market shares matrix, Vn, which itself is obtained from the model Make table and the model commodity output, q. zenodo https://doi.org/10.5281/zenodo.6370101 (2021). Generally, NAICS codes are published by the Census Bureau at five levels of detail: 2- to 6-digit, but such hierarchy is not fully disclosed in the table for each BEA-NAICS correspondence, which makes the correspondence incomplete. Ingwersen, W. et al. Rev. Total flows or impacts associated with a given amount of final demand are calculated using two perspectives that produce the same overall flow or impact totals but associate the totals with different sectors. Red text indicates an update from the 2018 version of this document. The final model is provided in the National Land Occupation Totals By Industry 2012 v1.1 dataset44. L, the Leontief inverse, or the total requirements matrix, is obtained from A, using Eq. Expanding the definition of industrial water use allowed for calculation of impact intensities for industries not previously captured, such as industries within wholesale trade, retail trade, and professional and business services. Article The calculation of total impact, H, measured with indicator, i, associated with a purchase of commodity, c, in year y USD, with the cost of the commodity $c given in purchaser price would be calculated with Eq. This subset describes the waste flows from the receiving facilities point of view, ideal for tracking the information regarding how the waste is managed. Prioritization of sectors in the US economy by greatest opportunities for environmental improvements through the use of the Sustainable Materials Management Prioritization Tools will be a primary use of v2.0. These values can be found in the WasteDisaggaregation_Use sheet of the primary data record (in the rows labeled Use column sum). For more information and to download the 2016 report and methodology, see: https://www.epa.gov/smm/2016-recycling-economic-information-rei-report-and-methodology. - Government published carbon conversion factors. United States Environmentally-Extended Input-Output (USEEIO) Modeling Framework for USEEIOv2.0. In Water_national_2015_m1, mining water withdrawals are allocated to 6-digit NAICS using employment data published by BLS QCEW. ACID in utilities, manufacturing and transportation sectors is largely driven by criteria air pollutant emissions like sulfur dioxide (SO2) and nitrogen oxides (NOX). 21. where lc is the column representing the commodity of interest from the L matrix, and dn is the transposed row representing the indicator of interest from the D matrix. Res. United States Environmental Protection Agency, email: Reviewed and released models are listed on the model technical content webpage . For xz to be in year y USD, the year of the IO data, x, must first be price adjusted using Eq. The intent of this detailed analysis is to provide information and recommendations on available opportunities to work with County vendors to improve environmental performance and advance the health and wellbeing of the residents of Alameda County and beyond., US Department of Energy - Environmentally-extended input-output (EEIO) database can be used estimating carbon emissions based on the amount of money spent. FEDEFL Inventory Methods v1.0.0. Pairing the domestic proportion with the ranking figure (Fig. These values are included the WasteDisaggaregation_Use sheet in the primary data record in the Use table intersection rows. General Information. (Springer, 2014). However, this interpretation does not hold for the pesticides that contribute to this impact, which include Methyl Bromide. Model coefficient matrices may be obtained in purchasers price through adjustment of values from producers price. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1368541 (2017). J. Econ. Zhuang, X. If not, default heat contents are provided. For calculating any domestic result (see sec. The waste sector disaggregation procedure required the definition of an additional set of configuration files that provide instructions for this disaggregation procedure. A main assumption in the disaggregation of waste management sectors is that the receivers of waste flows are being paid for waste treatment. National emissions inventory 2017. https://www.epa.gov/air-emissions-inventories/national-emissions-inventory-nei (U.S. Environmental Protection Agency, 2019). Recycl. These factors were prepared using USEEIO models, which are a life cycle models of goods and services in the US economy. Meyer, D. E., Li, M. & Ingwersen, W. W. Analyzing economy-scale solid waste generation using the United States environmentally-extended input-output model. EPA Report: Supply Chain Greenhouse Gas Emission Factors for U.S. Industries and Commodities 28 is a slightly modified form of the model result calculation using the direct perspective. Young, B. et al. The first step is a relevance assessment to determine which of the 15 categories are relevant to the reporting organization. While not part of the interindustry transactions, these sectors are somewhat analogous to commodities, and are represented as rows for each industry in the Use table. In general, the final demand in the BEA Use table can be grouped into the following categories: yg=federal, state and local government consumption. The Make table columns represent which commodities are produced by different industries. Federal government (defense) climbed from 17th to 7th due to an increased relative amount of HTOX. J.V. General Motors worked with Climate Earth consultants to useUSEEIO to calculate their Scope 3 GHG emissions associated with the purchased goods and services in their supply chain. led on the disaggregation methodology and associated software development in useeior, and wrote the associated section in the manuscript. Thank you for visiting nature.com. For the disaggregated waste management sectors, these rows represent the use of the disaggregated waste management service commodities by industries. Livestock water withdrawals are allocated proportionally using water use by animal type, calculated from the USDA animal inventory and national median water intake rates by animal type48,50. There are 398 industries and three final demand sectors that consume the Waste management and remediation services commodity. Sustainable Materials Management Prioritization Tools The report states that a critical contribution is the development of a waste input-output model designed to capture the material inputs (production sectors like mining, energy, materials, parts and products) and outputs (waste and material separation and reprocessing, of products, services and wastes). Ec is obtained from Ei by multiplying its transpose by the commodity mix matrix, Cm, and transposing the result. Additionally, there are changes to methods of allocation. For v2.0, we derive two primary final demand vectors, a production vector and a consumption vector. New for v2.0 is the use of a standard flow list for representing elementary flows, or raw materials from or returning to the technosphere. Land occupation is allocated to industrial sectors using the USDAs Major Uses of Land in the United States 2012 report (MLU), accounting for total US land area through twelve use categories36. 10. Report No. This bundle contains all of the available Global Emission Factors including: Global Electricity Factors, Global Homeworker Factors and Global Hotel Factors at a 10% discount. Two such tools have been developed thus far: (1) A National Tool appropriate for federal agencies, trade associations, and non-governmental organizations needing an overall, big picture view of U.S. sustainability; and (2) an Organizational Tool that provides sustainability and procurement professionals with a the ability to produce targeted sustainability snapshots in support of their enterprises and organizations. 19. led software development for useeior, developed the crosswalk methodology and wrote the associated section of the manuscript, curated all economic input data, performed model validation, and visualized the results. Emissions Factors 2021 - Data product - IEA For example, if 562HAZ represents 50% of the total economic value of the disaggregated sectors, then 50% each flow is allocated to 562HAZ. This EPA report describes supply chain GHG emission factors prepared with versions of the USEEIO, which are life cycle models of all categories of goods and services and industries in the US economy. 15, 18. The Recycling Economic Information Report Edelen, A., Hottle, T., Cashman, S. & Ingwersen, W. The federal LCA commons elementary flow list: Background, approach, description and recommendations for use. N combines each economic, flow and indicator component. Estimates for scope 3 categories can vary in accuracy depending on the available data and the organizations quantification goal. Priscilla Halloran, Jarrod Bridge and David Meyer provided input to on USEEIO model updates. The production vector adds to the consumption vector the net trade balance as well as inventory/stock changes. The general equation for emissions estimation is: E = A x EF x (1-ER/100) where: E = emissions; A = activity rate; Chinese environmentally extended input-output database for 2017 and 2018, Implementing the material footprint to measure progress towards Sustainable Development Goals 8 and 12, Contributions of sociometabolic research to sustainability science, CO2 emission accounts of Russias constituent entities 20052019, A low energy demand scenario for meeting the 1.5C target and sustainable development goals without negative emission technologies, Food systems are responsible for a third of global anthropogenic GHG emissions, Variation in trends of consumption based carbon accounts, An emissions-socioeconomic inventory of Chinese cities, US Environmentally-Extended Input-Output (USEEIO) model, Sustainable Materials Management Prioritization Tools, models are listed on the model technical content webpage, https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=CESER&dirEntryId=349324, https://doi.org/10.1016/j.jclepro.2017.04.150, https://pasteur.epa.gov/uploads/10.23719/1365565/documents/USEEIOv1.1-DescriptionofSatelliteTableUpdates.pdf, https://doi.org/10.1016/j.resconrec.2020.104795, https://www.bea.gov/industry/input-output-accounts-data, https://www.bea.gov/resources/methodologies/concepts-methods-io-accounts, https://doi.org/10.1080/0953531042000219286, https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=347251, https://www.census.gov/data/tables/2012/econ/census/aswmrs-services.html, https://www.census.gov/data/tables/2015/econ/services/sas-naics.html, https://www.epa.gov/hwgenerators/biennial-hazardous-waste-report, https://www.census.gov/naics/concordances/2012_to_2007_NAICS.xls, https://www.census.gov/naics/2012NAICS/2-digit_2012_Codes.xls, https://www.epa.gov/air-emissions-inventories/national-emissions-inventory-nei, http://www2.epa.gov/toxics-release-inventory-tri-program/tri-data-and-tools, https://www.eia.gov/consumption/manufacturing/data/2010/, https://www.epa.gov/sites/production/files/2018-07/documents/nei2014v2_tsd_05jul2018.pdf, https://echo.epa.gov/trends/loading-tool/water-pollution-search, https://www.ers.usda.gov/webdocs/publications/84880/eib-178.pdf?v=6791.3, https://www.eia.gov/consumption/commercial/, https://www.blm.gov/sites/blm.gov/files/pls07.pdf, https://www.ers.usda.gov/publications/pub-details/?pubid=44630, https://www.bls.gov/cew/downloadable-data-files.htm, https://www.ers.usda.gov/publications/pub-details/?pubid=101624, https://www.nass.usda.gov/Publications/AgCensus/2017/Full_Report/Volume_1,_Chapter_1_US/usv1.pdf, https://www.nass.usda.gov/Publications/AgCensus/2017/Online_Resources/Farm_and_Ranch_Irrigation_Survey/fris.pdf, https://www.eia.gov/dnav/ng/ng_prod_sum_a_EPG0_FGW_mmcf_m.htm, https://www.usgs.gov/mission-areas/water-resources/science/water-use-terminology?qt-science_center_objects=0#qt-science_center_objects, http://edap-data-commons.s3.amazonaws.com/data_commons_search.html, https://doi.org/10.6084/m9.figshare.17145878.v1, https://databank.worldbank.org/reports.aspx?source=2&type=metadata&series=EN.ATM.CO2E.PC#, https://doi.org/10.6084/m9.figshare.17269211, https://doi.org/10.6084/m9.figshare.17377805, https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2016, https://www.epa.gov/ozone-layer-protection/international-actions-montreal-protocol-substances-deplete-ozone-layer, https://doi.org/10.6084/m9.figshare.19100375.v1, https://www.eia.gov/totalenergy/data/monthly/, https://www.bea.gov/products/industry-economic-accounts/underlying-estimates, https://www.blm.gov/sites/blm.gov/files/pls2012-web.pdf, https://s3-us-west-2.amazonaws.com/prd-wret/assets/palladium/production/mineral-pubs/mcs/mcs2014.pdf, https://www.eia.gov/electricity/data/eia923/archive/xls/f923_2014.zip, http://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/Chemical_Use/, https://www2.calrecycle.ca.gov/WasteCharacterization/PubExtracts/2014/GenSummary.pdf, https://www.epa.gov/sites/production/files/2016-11/documents/2014_smmfactsheet_508.pdf, http://creativecommons.org/licenses/by/4.0/, At the intersection of life cycle assessment and indirect greenhouse gas emissions accounting. The Water_national_2015_m1 model differs from the Water Use Satellite table compiled for v1.13 in several ways. Irrigation Golf Courses water withdrawals are assigned to NAICS 713910. Users can find a coefficient (per USD) in producers price in 2012 USD by finding the cell at the intersection of the row with the flow (M matrix) or indicator (N matrix) of interest along with the column with the commodity best representing the purchase. Flow loss may result from invalid NAICS codes. ~75% of these emissions stem from upstream activities . & Birney, C. USEEIO v2.0.1-411. 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. 95% for Fresh soybeans, canola, flaxseeds, and other oilseeds and Fresh wheat, corn, rice, and other grains). Provided by the Springer Nature SharedIt content-sharing initiative, The International Journal of Life Cycle Assessment (2023), Scientific Data (Sci Data) Additionally, the use of Electricity and Truck transport by agricultural sectors are the greatest contributors to SMOG from non-agricultural sectors. EF Hub. Natural Gas Gross Withdrawals and Production. The MLU land use categories are further allocated to 6-digit NAICS, modeled on Zeng and Ramaswamis methodology37. The values in v2.0 resulting from Eq. The Economic Census data provides monetary receipt values by detailed NAICS codes and customer class.
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