Carbon Footprint Planning: Quantifying Local and State Mitigation Opportunities for 700 California Cities

Christopher M. Jones, Stephen M. Wheeler and Daniel M. Kammen
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Christopher M. Jones: Renewable and Appropriate Energy Laboratory, Energy and Resources Group, University of California - Berkeley, USA
Stephen M. Wheeler: Department of Human Ecology, University of California - Davis, USA
Daniel M. Kammen: Renewable and Appropriate Energy Laboratory, Energy and Resources Group, University of California - Berkeley, USA / Goldman School of Public Policy, University of California - Berkeley, USA / Department of Nuclear Engineering, University of California - Berkeley, USA

Urban Planning, 2018, vol. 3, issue 2, 35-51

Abstract: Consumption-based greenhouse gas (GHG) emissions inventories have emerged to describe full life cycle contributions of households to climate change at country, state and increasingly city scales. Using this approach, how much carbon footprint abatement potential is within the control of local governments, and which policies hold the most potential to reduce emissions? This study quantifies the potential of local policies and programs to meet aggressive GHG reduction targets using a consumption-based, high geospatial resolution planning model for the state of California. We find that roughly 35% of all carbon footprint abatement potential statewide is from activities at least partially within the control of local governments. The study shows large variation in the size and composition of carbon footprints and abatement opportunities by ~23,000 Census block groups (i.e., neighborhood-scale within cities), 717 cities and 58 counties across the state. These data and companion online tools can help cities better understand priorities to reduce GHGs from a comprehensive, consumption-based perspective, with potential application to the full United States and internationally.

Keywords: carbon footprint; climate action plans; climate change, consumption; emissions inventory; greenhouse gas (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:cog:urbpla:v3:y:2018:i:2:p:35-51

DOI: 10.17645/up.v3i2.1218

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