National Greenhouse Gas Industry Attribution Model

The National Greenhouse Gas Industry Attribution Model is dynamic model that attributes US Greenhouse Gas (GHG) emissions as reported in the US GHG Inventory [1] to industry sectors as classified by the Bureau of Economic Analysis in the 2012 detail benchmark input-output tables [2]. The model is valid for years 2010-2016 and uses the EPA GHG Inventory published in 2018. Data quality score associated with the EPA DQ system [3] for data reliability and technological correlation are assigned as described in Yang et al. 2017, Supporting Information 1 [4]. This model builds upon the USEEIO v1.1 GHG satellite table [5] and the Yale Center for Industrial Ecology USEEIO extensions v2.1 [6]. See the Documentation sheet in the file for a summary table describing the industry attribution approach to each USEPA GHGI emission item.

References
1. USEPA, 2020. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2018. https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2016
2. BEA, 2019a. Input-Output Accounts Data. https://www.bea.gov/industry/input-output-accounts-data
3. USEPA. 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data (Report). US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834
4. Yang, Y., Ingwersen, W.W., Hawkins, T.R., Srocka, M., Meyer, D.E., 2017. USEEIO: A New and Transparent United States Environmentally-Extended Input-Output Model. Journal of Cleaner Production 158, 308–318. https://doi.org/10.1016/j.jclepro.2017.04.150
5. Ingwersen, W.W., Yang, Y., Gilkey, K., Li, M., 2017. USEEIOv1.1 - Satellite Tables. https://doi.org/10.23719/1365565
6. Berrill, P., Miller, T.R., 2019. CIE USEEIO extensions v2.1. https://doi.org/10.5281/zenodo.3386529.

This dataset is associated with the following publication:
Ingwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.