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THE SPATIOTEMPORAL EVOLUTION OF U.S. CARBON DIOXIDE EMISSIONS: STYLIZED FACTS AND IMPLICATIONS FOR CLIMATE POLICY
Author(s) -
Baldwin James G.,
Wing Ian Sue
Publication year - 2013
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/jors.12028
Subject(s) - stylized fact , energy intensity , emission intensity , carbon dioxide , environmental science , population , greenhouse gas , index (typography) , natural resource economics , per capita , climate change , economics , econometrics , vector autoregression , intensity (physics) , atmospheric sciences , energy (signal processing) , mathematics , macroeconomics , statistics , chemistry , physics , demography , ecology , organic chemistry , quantum mechanics , sociology , biology , world wide web , computer science , ion
We characterize the evolution of U.S. carbon dioxide (CO 2 ) emissions using an index number decomposition technique which partitions the 1963–2008 growth of states’ energy‐related CO 2 into changes in five driving factors: the emission intensity of energy use, the energy intensity of economic activity, the composition of states’ output, per capita income and population. Compositional change and declining energy intensity attenuate emissions growth, but their impacts are offset by increasing population and income. Despite absolute interstate divergence in both emissions and their precursors, states’ emission‐ and energy intensities—and ultimately, CO 2 —appear to be stochastically converging. We assess the implications of these trends using a novel vector autoregression (VAR) emission forecasting technique based on our index numbers. The resulting emission projections are comparable to, but generally exceed, those forecast by the 2010 EIA Annual Energy Outlook.