Science Inventory

Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States

Citation:

Yang, Y., W. Ingwersen, AND D. Meyer. Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 99:52-57, (2018). https://doi.org/10.1016/j.envsoft.2017.09.017

Impact/Purpose:

We are developing state-based SMM models in our research program, working with the state of GA to develop them. This is a conceptual paper that does not describe that model in detail or any particular state model, but tests the accuracy of simplified models of this form in the US. In particular we test a two-region model in reference to a 50-region model, and described the results and limitations.

Description:

The accuracy of direct and indirect resource use and emissions of products as quantified in life cycle models depends in part upon the geographical and technological representativeness of the production models. Production conditions vary not just between nations, but also within national boundaries. Understanding the level of geographic resolution within large industrial nations needed to reach acceptable accuracy has not been well-tested across the broad spectrum of goods and services consumed. Using an aggregate 15-industry environmentally-extended input-output model of the US along with detailed interstate commodity flow data, we test the accuracy of regionalizing the national model into two-regions (state - rest of US) versus 51 regions (all US states + DC). Our findings show the two-region form predicts life cycle emissions and resources used within 10-20% of the more detailed 51-region form for most of the environmental flows studied. The two-region form is less accurate when higher variability exists in production conditions for a product.