U.S. Energy Information Administration. It is widely used by EPA program offices and other government agencies, corporations, nonprofits, nongovernmental organizations, and academia for applications such as calculating carbon footprints and environmental assessments. Also, change in inventories, y, is positive for commodities produced but not sold, and negative for commodities consumed from a previous years production. This excel file includes 10 sheets with a set of carbon emission factors for electricity and electricity/heat generation. This is an update from v1.1, where value added data were taken from BEA Summary level Use tables for more recent years and adjusted as described in the documentation5. Scope 3 emission sources include emissions both upstream and downstream of the organizations activities. General Motors Carbon Disclosure The Use table rows represent the use of commodities by the industries in the IO table. These tables are typically released 5 or more years after the Census is performed. These data are difficult to obtain given the scarcity in publicly available waste management pricing data, the level of aggregation of the waste management sectors, and the differences in prices and materials used by each waste management activity. sectors in an EEIO model) that drive a particular indicator value is a conventional analytical practice in life cycle assessment18. These values can be found in the WasteDisaggaregation_Use sheet of the primary data record (in the rows labeled Use column sum). Priscilla Halloran, Jarrod Bridge and David Meyer provided input to on USEEIO model updates. 2007 Census of Agriculture. The state data are summed to calculate national land use by animal type for pasture and grazed land. The allocation methodology for industrial water withdrawal was modified for v2.0. In v2.0, withdrawals are calculated for 64 crops identified in the 2017 USDA CoA. It provides a robust resource for estimating the potential impactsenvironmental and economicassociated with the production or consumption of goods and services. The first complete and peer-reviewed USEEIO model, v1.0, was released in early 2017 and described in Yang et al.2 and related datasets3,4. Form EIA-923 detailed data. Amazon used USEEIO as a source for life cycle CO2e factors in their corporate carbon footprint calculation for estimating part of their carbon footprint related to purchased goods and services and their facilities. 36. To derive Rest of World region results, the difference between any full result calculation and the domestic calculation can be taken, as in Eq. Direct HRSP impacts in agricultural sectors for crops account for a significant share of total impacts (e.g. Agricultural chemical use survey. The images or other third party material in this article are included in the articles Creative Commons license, unless indicated otherwise in a credit line to the material. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities (No. U.S. Census Bureau https://www.census.gov/naics/2012NAICS/2-digit_2012_Codes.xls (2019). Li, M. & Ingwersen, W. Life-cycle impact coefficients (N matrix) of USEEIOv1.2 and v2.0.1-411. Net public supply is calculated by subtracting public supply deliveries to domestic to avoid double counting, then assigned to NAICS 221310. Quarterly census of employment and wages 2012. https://www.bls.gov/cew/downloadable-data-files.htm (U.S. Bureau of Labor Statistics, 2020). This sector provides a wide range of services from non-hazardous waste landfilling and recycling to contaminated site remediation. Reviewed and released models are listed on the model technical content webpage . 44, 21262130, https://doi.org/10.1021/es903147k (2010). Major Uses of Land in the United States, 2007. https://www.ers.usda.gov/publications/pub-details/?pubid=44630 (U.S. Department of Agriculture, 2011). JavaScript appears to be disabled on this computer. PubMed Central Other agricultural commodities show the inverse change in v2.0, where the agricultural output in v2.0 is higher and thus the pesticide release and related impact intensities are lower. The EEIO sector also determines whether the project type is for construction or operation more broadly, and each has a very different greenhouse gas emissions profile. Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. The major challenge with this section is establishing accurate IO transactions between the disaggregated sectors by using both monetary and material flow data. The second ranking is done with Hf calculated where y is the US consumption vector, yc (see Eq. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1524314 (2021). The largest visible change in GHG intensity was seen in the electricity sector, with a nearly 2kg CO2e/$ decrease. 56221: Most of the flows are to Hazardous waste disposal sector. Birney, C. et al. In the original analysis, BLM hard rock leases and EIA MECS relied on BEA employee compensation for granular allocation. 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). Then calculate electricity emissions using emission factors in the EF Hub. These values are included in the WasteDisaggregation_Make sheet in the primary data record, in the Industry disaggregation rows. Blackhurst, M., Hendrickson, C. & Vidal, J. S. I. environmental pollution waste material air pollution water pollution, economic input-output data environmental release data resource use data. The value added sectors are the wages, taxes, and gross operating surplus for the industries present in the USEEIO model. These values are included in the WasteDisaggregation_Make sheet of the primary data record, in the Make table intersection rows. Basic Information of Air Emissions Factors and Quantification Environmental flows are transformed from source data schema, typically NAICS 2012 codes, to USEEIO schema (e.g. 16, 157167, https://doi.org/10.1080/0953531042000219286 (2004). Due to shifts in the oil and gas industry towards increased natural gas extraction, the 2002 water withdrawal coefficients likely do not reflect 2015 water withdrawals for mining industries. Circular 1200 https://doi.org/10.3133/cir1200 (1998). For Electricity, for example, SO2 and NOX contribute to 57% and 39% of impact, respectively. United States Environmentally-Extended Input-Output (USEEIO) Modeling Framework for USEEIOv2.0. Chemical releases reported by facilities in these datasets include toxic releases, metal compounds, nutrients, and organic pollutants. US Environmental Protection Agency, Office of Research and Development, Washington, USA, General Dynamics Information Technology, Inc, Falls Church, VA, 22042, USA, Eastern Research Group, Lexington, MA, 02421, USA, You can also search for this author in In Eq. General Information. 3.3), the Ld and a demand vector derived from Yd are used. The name changes are made because BEA uses the same names for commodities as those used for the respective industries (industries and commodities share the same codes), which are derived from the NAICS industry names, and the assignment of names better fit to describe a commodity rather than an industry adds clarity to commodity representation in the model. https://www.bls.gov/opub/hom/ (U.S. Bureau of Labor Statistics, 2020). CESER@epa.gov, Amendment 1 to Supply Chain Factors Description, SUPPLY CHAIN GREENHOUSE GAS EMISSION FACTORS FOR US INDUSTRIES AND COMMODITIES-.PDF, Appendix 3 - Industry and Commodity Reference Lists, Appendix 4 - Distribution, Wholesale and Retail Margins for Industries and Commodities, Appendix 5 - National Level Gross Output and Direct Emission Trends, Appendix 6 - Annual Change in Supply Chain Emission Factors, Appendix 7 - Contribution Analysis for Supply Chain Emissions, Appendix 8 - Comparing Summary and Detail Level Direct and Supply Chain Emission Factors, Appendix 9 - Comparing Commodity-based and Industry-based Supply Chain Emission Factors at the Detail Level. Flow loss may result from invalid NAICS codes. The USEEIO v2.0.1411 dataset is the primary data record, and includes the waste disaggregation data inputs, model components, result matrices, price adjustment matrices, and demand vectors, along with supporting metadata including sector, flow and indicator descriptions. Many organizations will improve the accuracy of scope 3 emissions over time and expand to include more categories as adequate data become available. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1524317 (2021). This can be performed by subtracting the import matrix, Um from the Use matrix to estimate a domestic Use table, Ud, as in Eq. This paper presents a summary of the complete v2.0 model attributes and model creation with a focus on describing methodological updates since the publication of the original USEEIO methodology. C.B. 4. 5, where xi,z is the year industry output for industry i in the currency year, z, corresponding to the year of the national flow totals. The organization may also be able to influence its suppliers or choose which vendors to contract with based on their practices. (Springer Science & Business Media, 2002). The commodity is allocated proportionate to the allocation percentages used for the 562111, 562212, 562213, and 562920 sectors in the Use table row (commodity) totals. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1365565 (2017). Water use for crops originally used acreage data for 37 crops accessed through the USDA Irrigation and Water Management Survey (IWMS)49. For SMOG, decreases are also apparent in agricultural sectors and many manufacturing sectors where decreases in impact intensity for Wood pulp, Paints and Cement stand out. 58% of the value of the original waste sector is allocated to the intersection of Hazardous waste treatment and disposal with itself, while the Hazardous waste treatment and disposal column contains 89% of the total value of the intersection disaggregation. Young, B. et al. Provider. For v2.0, total value added per industry is taken directly from the same 2012 BEA Use table that is a source for the economic data. Slider with three articles shown per slide. The modeling steps were written in Python and consolidated into a software package called flowsa. The matrix M is a flow x sector matrix and contains in each row i the direct plus indirect flows per 1 USD output of the sector in column j. To assist in quantifying these emissions, EPA has developed a comprehensive set of supply chain emission factors covering all categories of goods and services in the US economy.

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