Articulating a trans-boundary infrastructure supply chain greenhouse gas emission footprint for cities: Mathematical relationships and policy relevance

Abel Chavez; Anu Ramaswami

doi:10.1016/j.enpol.2012.10.037

Articulating a trans-boundary infrastructure supply chain greenhouse gas emission footprint for cities: Mathematical relationships and policy relevance

Abel Chavez, Anu Ramaswami

Research output: Contribution to journal › Article › peer-review

84 Scopus citations

Abstract

This paper compares the policy relevance and derives mathematical relationships between three approaches for GHG emissions accounting for cities. The three approaches are: (a) Purely-Geographic Inventory, (b) Trans-boundary Community-Wide Infrastructure Footprint (CIF), and (c) Consumption-Based Footprint (CBF). Mathematical derivations coupled with case study of three US communities (Denver Colorado, Routt Colorado, and Sarasota Florida), shows that no one method provides a larger or more holistic estimate of GHG emissions associated with communities. A net-producing community (Routt) demonstrates higher CIF GHG emissions relative to the CBF, while a net-consuming community (Sarasota) yields the opposite. Trade-balanced communities (Denver) demonstrate similar numerical estimates of CIF and CBF, as predicted by the mathematical equations. Knowledge of community typology is important in understanding trans-boundary GHG emission contributions.

Original language	English (US)
Pages (from-to)	376-384
Number of pages	9
Journal	Energy Policy
Volume	54
DOIs	https://doi.org/10.1016/j.enpol.2012.10.037
State	Published - Mar 2013

Bibliographical note

Funding Information:
This work was supported by a grant from the US National Science Foundation's IGERT program (grant# DGE-065437 8). We appreciate the data provided by the three communities in this article and the role of ICLEI-USA in facilitating coordination with cities. We also thank Jenny Thorvaldson from IMPLAN for her ongoing feedback.

Keywords

City typology
City-scale greenhouse gas footprints
Consumption-based carbon footprint
Urban infrastructure-based carbon footprints

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10.1016/j.enpol.2012.10.037

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title = "Articulating a trans-boundary infrastructure supply chain greenhouse gas emission footprint for cities: Mathematical relationships and policy relevance",

abstract = "This paper compares the policy relevance and derives mathematical relationships between three approaches for GHG emissions accounting for cities. The three approaches are: (a) Purely-Geographic Inventory, (b) Trans-boundary Community-Wide Infrastructure Footprint (CIF), and (c) Consumption-Based Footprint (CBF). Mathematical derivations coupled with case study of three US communities (Denver Colorado, Routt Colorado, and Sarasota Florida), shows that no one method provides a larger or more holistic estimate of GHG emissions associated with communities. A net-producing community (Routt) demonstrates higher CIF GHG emissions relative to the CBF, while a net-consuming community (Sarasota) yields the opposite. Trade-balanced communities (Denver) demonstrate similar numerical estimates of CIF and CBF, as predicted by the mathematical equations. Knowledge of community typology is important in understanding trans-boundary GHG emission contributions.",

keywords = "City typology, City-scale greenhouse gas footprints, Consumption-based carbon footprint, Urban infrastructure-based carbon footprints",

author = "Abel Chavez and Anu Ramaswami",

note = "Funding Information: This work was supported by a grant from the US National Science Foundation's IGERT program (grant# DGE-065437 8). We appreciate the data provided by the three communities in this article and the role of ICLEI-USA in facilitating coordination with cities. We also thank Jenny Thorvaldson from IMPLAN for her ongoing feedback. ",

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doi = "10.1016/j.enpol.2012.10.037",

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AU - Ramaswami, Anu

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PY - 2013/3

Y1 - 2013/3

N2 - This paper compares the policy relevance and derives mathematical relationships between three approaches for GHG emissions accounting for cities. The three approaches are: (a) Purely-Geographic Inventory, (b) Trans-boundary Community-Wide Infrastructure Footprint (CIF), and (c) Consumption-Based Footprint (CBF). Mathematical derivations coupled with case study of three US communities (Denver Colorado, Routt Colorado, and Sarasota Florida), shows that no one method provides a larger or more holistic estimate of GHG emissions associated with communities. A net-producing community (Routt) demonstrates higher CIF GHG emissions relative to the CBF, while a net-consuming community (Sarasota) yields the opposite. Trade-balanced communities (Denver) demonstrate similar numerical estimates of CIF and CBF, as predicted by the mathematical equations. Knowledge of community typology is important in understanding trans-boundary GHG emission contributions.

AB - This paper compares the policy relevance and derives mathematical relationships between three approaches for GHG emissions accounting for cities. The three approaches are: (a) Purely-Geographic Inventory, (b) Trans-boundary Community-Wide Infrastructure Footprint (CIF), and (c) Consumption-Based Footprint (CBF). Mathematical derivations coupled with case study of three US communities (Denver Colorado, Routt Colorado, and Sarasota Florida), shows that no one method provides a larger or more holistic estimate of GHG emissions associated with communities. A net-producing community (Routt) demonstrates higher CIF GHG emissions relative to the CBF, while a net-consuming community (Sarasota) yields the opposite. Trade-balanced communities (Denver) demonstrate similar numerical estimates of CIF and CBF, as predicted by the mathematical equations. Knowledge of community typology is important in understanding trans-boundary GHG emission contributions.

KW - City typology

KW - City-scale greenhouse gas footprints

KW - Consumption-based carbon footprint

KW - Urban infrastructure-based carbon footprints

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JO - Energy Policy

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ER -

Articulating a trans-boundary infrastructure supply chain greenhouse gas emission footprint for cities: Mathematical relationships and policy relevance

Abstract

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Keywords

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