Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?

Recent sustainability research has focused on urban systems given their high share of environmental impacts and potential for centralized impact mitigation. Recent research emphasizes descriptive statistics from place-based case studies to argue for policy action. This limits the potential for gener...

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Main Authors: M M Tamayao, M F Blackhurst, H S Matthews
Format: Article
Language:English
Published: IOP Publishing 2014-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/9/10/104011
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author M M Tamayao
M F Blackhurst
H S Matthews
author_facet M M Tamayao
M F Blackhurst
H S Matthews
author_sort M M Tamayao
collection DOAJ
description Recent sustainability research has focused on urban systems given their high share of environmental impacts and potential for centralized impact mitigation. Recent research emphasizes descriptive statistics from place-based case studies to argue for policy action. This limits the potential for general insights and decision support. Here, we implement generalized linear and multiple linear regression analyses to obtain more robust insights on the relationship between urbanization and greenhouse gas (GHG) emissions in the US We used consistently derived county-level scope 1 and scope 2 GHG inventories for our response variable while predictor variables included dummy-coded variables for county geographic type (central, outlying, and nonmetropolitan), median household income, population density, and climate indices (heating degree days (HDD) and cooling degree days (CDD)). We find that there is not enough statistical evidence indicating per capita scope 1 and 2 emissions differ by geographic type, ceteris paribus. These results are robust for different assumed electricity emissions factors. We do find statistically significant differences in per capita emissions by sector for different county types, with transportation and residential emissions highest in nonmetropolitan (rural) counties, transportation emissions lowest in central counties, and commercial sector emissions highest in central counties. These results indicate the importance of regional land use and transportation dynamics when planning local emissions mitigation measures.
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spelling doaj.art-fa39393497424d658c329679682c57522023-08-09T14:43:44ZengIOP PublishingEnvironmental Research Letters1748-93262014-01-0191010401110.1088/1748-9326/9/10/104011Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?M M Tamayao0M F Blackhurst1H S Matthews2Department of Engineering and Public Policy, Carnegie Mellon University , 129 Baker Hall, Pittsburgh, PA 15213, USADepartment of Civil, Architectural and Environmental Engineering, University of Texas at Austin , 1 University Station C1752, Austin, TX 78712-0276, USADepartment of Engineering and Public Policy, Carnegie Mellon University , 129 Baker Hall, Pittsburgh, PA 15213, USA; Department of Civil and Environmental Engineering, Carnegie Mellon University , 119 Porter Hall, Pittsburgh, PA 15213, USARecent sustainability research has focused on urban systems given their high share of environmental impacts and potential for centralized impact mitigation. Recent research emphasizes descriptive statistics from place-based case studies to argue for policy action. This limits the potential for general insights and decision support. Here, we implement generalized linear and multiple linear regression analyses to obtain more robust insights on the relationship between urbanization and greenhouse gas (GHG) emissions in the US We used consistently derived county-level scope 1 and scope 2 GHG inventories for our response variable while predictor variables included dummy-coded variables for county geographic type (central, outlying, and nonmetropolitan), median household income, population density, and climate indices (heating degree days (HDD) and cooling degree days (CDD)). We find that there is not enough statistical evidence indicating per capita scope 1 and 2 emissions differ by geographic type, ceteris paribus. These results are robust for different assumed electricity emissions factors. We do find statistically significant differences in per capita emissions by sector for different county types, with transportation and residential emissions highest in nonmetropolitan (rural) counties, transportation emissions lowest in central counties, and commercial sector emissions highest in central counties. These results indicate the importance of regional land use and transportation dynamics when planning local emissions mitigation measures.https://doi.org/10.1088/1748-9326/9/10/104011community GHG emissionsurbanizationscope 1 + 2 emissions
spellingShingle M M Tamayao
M F Blackhurst
H S Matthews
Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?
Environmental Research Letters
community GHG emissions
urbanization
scope 1 + 2 emissions
title Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?
title_full Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?
title_fullStr Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?
title_full_unstemmed Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?
title_short Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?
title_sort do us metropolitan core counties have lower scope 1 and 2 co2 emissions than less urbanized counties
topic community GHG emissions
urbanization
scope 1 + 2 emissions
url https://doi.org/10.1088/1748-9326/9/10/104011
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AT mfblackhurst dousmetropolitancorecountieshavelowerscope1and2co2emissionsthanlessurbanizedcounties
AT hsmatthews dousmetropolitancorecountieshavelowerscope1and2co2emissionsthanlessurbanizedcounties