USEEIO v1.1-Matrices
Citation:
Ingwersen, W., Y. Yang, AND D. Meyer. USEEIO v1.1-Matrices. U.S. Environmental Protection Agency, Washington, DC, 2017.
Impact/Purpose:
This package contains the USEEIOv1.1 model, which is the ORD contribution to the ORCR Sustainable Materials Management Prioritization Tool Suite (SMM Tools). This product provides a tool to identify and prioritize materials, goods, and services that constitute the environmental hotspots within a national or state economy. The enhanced tool developed in LCA will add the ability to build hybrid life cycle inventory models by combining input-output data for material, product, and service flows with process-level data for end-of-life treatment options. The use of process-level data will provide more detail regarding areas to apply alternatives design and allow the introduction of scenario analysis with life cycling costing to better interpret results to make decision for SMM. Environmental indicators will be augmented with economic indicators to show value-added of sustainable materials management activities. This information is of interest to Regional and Program Office decision makers.
Description:
This dataset provides the basic building blocks for the USEEIO v1.1 model and life cycle results per $1 (2013 USD) demand for all goods and services in the model in the producer's price (see BEA 2015). The methodology underlying USEEIO is described in Yang, Ingwersen et al., 2017, with updates for v1.1 described in documentation supporting other USEEIO v1.1 datasets. This dataset is in the form of standard matrices. USEEIOv1.1 uses original names for goods and services, to distinguish them from the sector names provided by BEA which reflect industry names and not commodity names, but the BEA codes are maintained. The main model matrices are in green, A, B, and C; the result matrices are in gold, D, L, LCI, and U. Aggregate data quality scores are presented for B, D and U matrices in peach. Data quality scores use the US EPA data quality asssessment system, see US EPA 2016. Aggregated scores are calculated using a flow-weighted average approach as described in Edelen and Ingwersen 2017. References BEA (2015). Detailed Make and Use Tables in Producer Prices, 2007, Before Redefinitions. Bureau of Economic Analysis.
