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A Spatiotemporal Fixed Effects Estimation of U.S. State-Level Carbon Dioxide Emissions AgEcon
Burnett, J. Wesley; Bergstrom, John C..
One of the major shortcommings of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are unaffected by events in neighboring regions (i.e., assume there are no transboundary pollution emissions between neighbors). By ignoring the spatial aspects within the data several past estimates of the EKC could have generated biased or inconsistent regression results. By ignoring the temporal aspect within the data several past estimates of the EKC could have generated spurious regression results or misspecified t and F statistics. To address this potential...
Tipo: Conference Paper or Presentation Palavras-chave: Pollution Economics; Environmental Kuznets Curve; Spatial Econometrics; Dynamic Panel Data; Carbon Dioxide Emissions; Global Climate Change; Environmental Economics and Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; C33; C51; Q43; Q50; Q53; Q58.
Ano: 2011 URL: http://purl.umn.edu/103580
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U.S. State-Level Carbon Dioxide Emissions: A Spatial-Temporal Econometric Approach of the Environmental Kuznets Curve AgEcon
Burnett, J. Wesley; Bergstrom, John C..
One of the major criticisms of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are unaffected by events in neighboring regions (i.e., assume there are no transboundary pollution emissions between neighbors). By ignoring the spatial aspects within the data several past estimates of the EKC could have generated biased or inconsistent regression results. By ignoring the temporal aspect within the data several past estimates of the EKC could have generated spurious regression results or misspecified t and F statistics. To address this potential...
Tipo: Working or Discussion Paper Palavras-chave: Environmental Kuznets Curve; Carbon Dioxide; Spatial Econometrics; Panel Data Econometrics; Time Series Analysis; Environmental Economics; Pollution Economics; Environmental Economics and Policy; Q50; Q53; Q43; C01; C33.
Ano: 2010 URL: http://purl.umn.edu/96031
Registros recuperados: 2
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