The Economic Census data provides monetary receipt values by detailed NAICS codes and customer class. Revised methods for particulate matter estimates in the NEI were implemented since 2011, the data year used in v1.1, that better account for emissions of dust from livestock31. 35, is a vector of the column sums of the given H (see Eqs. Other economic data sources used include the Gross Industry Output data and the associated Gross Output Chain-Type Price Index data for years 20022017, the 2012 Margins data that contain the value added per commodity between point of manufacture and point of sale that make up the difference between producers and purchasers price, and the 2012 Import Matrix (Table1). Additionally, the Water_national_2015_m1 methodology differs from Water Use Satellite table compiled for v1 for Crop Irrigation, Industrial, Mining, Thermoelectric, and Hydroelectric water estimates. 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. All nomenclature used is defined in the Table 4. The end products will not just benefit project partners in Georgia, but also include case studies and open-source resources for applying USEEIO in communities across the country. 6, where from currency year z to y is the ratio of the industry gross output chain price index, pi, for year y to that of year z. Equations5, 6 are used for each industry and unique year of environmental data in the given model. 11:30-12:15. Household consumption accounts for the largest share of the global anthropogenic greenhouse gases (GHG) emissions. The National Energy Technology Laboratory (NETL) is using USEEIO to model the life cycle impacts of power plant infrastructure. In v2.0, the USDA CoA land in farms data are used as an allocation source, rather than as a primary data source. How to Use the EPA USEEIO Model - A Workshop These values can be found in the WasteDisaggaregation_Use sheet of the primary data record (in the rows labeled Use column sum). As described above, direct SMOG impacts have decreased substantially in these two sectors specifically. 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. in order to minimize inter-plant variability. In v2.0, withdrawals are calculated for 64 crops identified in the 2017 USDA CoA. The result is available in the National Criteria and Hazardous Air Pollutant Totals By Industry 2017 v1.1 dataset32. Increase in particulate matter emissions for livestock production. For xz to be in year y USD, the year of the IO data, x, must first be price adjusted using Eq. If not, default heat contents are provided. Timber and raw forest products impact intensity increased due to a decrease in land area assigned to timberland and negative economic growth between 2007 and 2012. Emissions Factors 2021 - Data product - IEA To fully meet GHG Protocol standards, an organization must report emissions from all relevant scope 3 categories. U.S. Bureau of Economic Analysis https://www.bea.gov/industry/input-output-accounts-data (2019). Ingwersen, W., Yang, Y., Gilkey, K. & Li, M. USEEIOv1.1 - Satellite Tables. Salesforce Help | Article In general, the final demand in the BEA Use table can be grouped into the following categories: yg=federal, state and local government consumption. . Value added is a collection of the monetary benefits industries provide to government (as taxes), employees (as wages), and to their shareholders (as profits). The final demand vectors represent purchases of goods and services by final consumers, including by households, investors and governments. 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. The relationship table presents a hierarchy of the BEA codes at three levels of detail: sector (21 sector groups), summary (71 sector groups), and detail (405 sector groups), as well as how each level relates to the NAICS code structure. USEEIO Model Overview and EEIO Primer. These factors were prepared using USEEIO models, which are a life cycle models of goods and services in the US economy. 12:15-12:30. Collectively there are small decreases in ACID in most sectors. USEEIO v2.0, The US Environmentally-Extended Input-Output Model v2.0. U.S. EPA Office of Research and Development (ORD) https://doi.org/10.23719/1517571 (2020). ipcc-efdb@iges.or.jp. zenodo https://doi.org/10.5281/zenodo.6370115 (2021). U.S. Environmental Protection Agency. The Use table is normalized by the industry output vector, x, to result in a commodity x industry direct requirements matrix. However, these models did not incorporate additional sector disaggregation, did not include domestic model variants, lacked other environmental matrices and associated indicators described for v2.0 herein, and the full set of matrices for these models were not published. Accordingly, the waste shipped from and to waste management sectors are used as the basis for the mapping of the waste management intersection in the Use table. The disaggregation of the Waste Sector introduced changes to the economic transactions present in the 2012 BEA Detail Make and Use Tables that is used as the basis of the USEEIO model. Coverage of these data used in v2.0 is equivalent to that from v1.2 as seen in Table2. With the pesticide loss model input data remaining the same, but inflation in the commodity as seen in the P matrix between 2012 (USD year of v2.0) and 2013 (USD year of v1.2) created a lower denominator in v2.0, resulting in a higher pesticide-related impact intensity (since dollar output is in the denominator) for this sector. The 2016 values are applied across all years and will be updated in more recent years as new data sets are . Therefore, selecting the correct project type is pivotal.