Changing places, changing emissions: The cross-scale reliability of greenhouse gas emission inventories in the US

• Published in: Local environment Vol. 3; no. 3; pp. 247 - 262
• Main Authors: Easterling, William E., Polsky, Colin, Goodin, Doug, Mayfield, Michael W., Muraco, William A., Yarnal, Brent
• Format: Journal Article
• Language: English
• Published: Taylor & Francis Group 01.10.1998
• Subjects: Environmental degradation; Environmental policy; Global warming; Local communities; U.S.A
• ISSN: 1354-9839; 1469-6711
• DOI: 10.1080/13549839808725564

Greenhouse gas (GHG) emission inventories, which currently inform abatement policy discussions, are developed mostly from national scale data. Nevertheless, although the policy debate tends to take place in global and national arenas, action to abate GHG emissions is inherently within the provenance of local institutions and communities. The purpose of this paper is to examine how much information is lost by not estimating GHG emissions data at scales finer than the whole US. Such information may be critical in bridging global and local policy. Differences in the composition of GHG emission sources based on GHG emission inventories at three nested spatial scales (national, state, local) for four study sites (in Kansas, North Carolina, Ohio and Pennsylvania) are analysed, drawing upon initial results of a large collaborative study known as the 'Association of American Geographers-Global Change in Local Places (GCLP)' project. The concept of spatial sovereignty of emissions is developed to test the cross-scale reliability of emission inventories. For the test year 1990, close agreement is found in the by-gas composition of GHG emissions among national, state and local inventories. Spatial sovereignty in this case is maintained. However close agreement is not found in the by-source composition of GHG emissions among national, state and local inventories. Spatial sovereignty in this case is not maintained. Regular compilation of state and local emissions source inventories may be necessary to track important spatial and temporal deviations from national trends.