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USEEIO models are environmentally-extended input-output models useful for calculating potential cradle-to-gate impacts for U.S. product averages in ~400 categories. Imports are included in the models but to date their impacts have been assumed to be the same as their domestic equ...

The US Environmentally-Extended Input-Ouput model, or USEEIO, is a full-economy US life cycle model at a resolution of approximately 400 goods and services developed by EPA-ORD. This presentation provided theoretical background on input-output modeling, an overview of the USEEIO ...

EPA maintains national-level environmentally-extended input-output models in USEEIO. However, these models mask what could be significant domestic variation in supply chains and emissions profiles of goods and services at the state-level. In 2022, EPA published for the first...

A number of U.S. states are interested in evaluating their greenhouse gas (GHG) emissions associated with all their consumption of materials, goods and services, and not just those occurring with their territories. The consumption-based GHG inventory (CBEI) is a common approach f...

Consumption-based GHG inventories are similar to traditional territorial GHGs but they are include GHG emissions embodied in goods and services that are imported into the states. This presentation provides an overview of how they can be prepared using USEEIO state models in conce...

USEEIO is a life cycle model of US goods and services developed and maintained by the USEPA. The most recent complete national version of the model is v2.0. There are many potential uses of the model as well as potential ways the model can be accessed. All uses should also be acc...

Presenting on EPA's use of FLOWSA, a python package that attributes resources, wastes, emissions, losses, and other movements of mass, energy, monetary or human resources -- collectively called flows -- to industries. Focusing on model outputs related to water and land.

This presentation provides an overview of the Supply Chain GHG Emission Factors for their use in GHG reporting. The models behind the factors are described and some guidance on their use is provided. Notes on future plans are provided.  

Many organizations quantify greenhouse emissions in their value chain. Emissions from purchased goods and services and capital goods, referred to as Scope 3 emissions in the Greenhouse Gas Protocol Scope 3 Accounting and Reporting Standard, represent a significant emissions sourc...

The United States Environmental Protection Agency (EPA) recently developed the United States Environmentally-Extended Input-Output (USEEIO) model and IO Model Builder in support of its Sustainable Materials Management program. The USEEIO model provides a U.S.-relevant approach to...

The code base for creating versions of the USEEIO model and USEEIO-like models is called the USEEIO Modeling Framework. The framework is built in a combination of R and Python languages.This demonstration provides a brief overview and introduction into the framework.

USEEIO is a life cycle model of US goods and services developed and maintained by the USEPA since 2016. It can be used for life cycle assessment, footprinting, national prioritization, and numerous other applications requiring life cycle data on US products. This presentation pro...

USEEIO is a life cycle model of US goods and services developed and maintained by the USEPA since 2016. This presentation provides an overview of the development and purposes of state versions of USEEIO. Plans for an application in the Sustainable Materials Management State Prior...

Many U.S. states have established strategies and goals to steer themselves toward both cleaner and more prosperous economies. Progress towards achieving such goals cannot be easily measured due to the complexities of economies and hidden or embodied impacts. Quantitative models t...

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...

This product will, through a series of enhancements, be expanded into a model with global scope, capable of improved impact assessment including adding characterization of marine litter impacts and household activities. Some enhancements to the model will include a new method for...

USEEIO v2.0 is an environmental-economic model of US goods and services that can be used for life cycle assessment, footprinting, national prioritization, and related applications. This paper describes the development of the model and accompanies the release of a full model datas...

National-scope environmental life cycle models of goods and services may be used for many purposes, not limited to quantifying impacts of production and consumption of nations, assessing organization-wide impacts, identifying purchasing hot spots, analyzing environmental impacts ...

The US Environmentally-Extended Input-Output Model Application Programming Interface (USEEIO API) is a web service that provides pre-calculated USEEIO model results and model metadata for USEEIO family models. There are two versions of the USEEIO API web service, a Go and Python ...

The USEEIO widgets are graphical components for integration into websites that display information and results from the USEEIO model. They are intended for use by web developers that do not have technical expertise in the USEEIO model. The widgets get USEEIO model data from the U...

When we are looking at industries from the lens of sustainable materials management, we see them as a network of actors that are working convert materials into products and provide services around those materials (see EPA 2009 Figure 2: The Flow of Materials). Another name for th...

Research Area 7 will address the problems associated with the increasing usage of materials and generation of waste associated with production and consumption of good and services and their extensive supply chains. It has two areas of concentration, the US environmentally-extende...

Presenting on integrating FLOWSA into useeior to generate USEEIO models at the ISSST 2022 Conference. FLOWSA is an open-source Python package developed to attribute physical transfers of resources (environmental, monetary, and human), emissions, wastes, and losses, collectively c...

Water is an essential component in the production and consumption of goods and services. Water demand across all economic industries and by final consumers contributes to stress faced by freshwater resources in many regions of the US and the world. This research examines the impa...

A version of useeior capable of building the complete USEEIOv2.0 model along with related model variants. It includes new capabilities of building disaggregated models, of validating and visualizing built models, and significantly enhances model calculation and export. ...