A spatial panel data approach to estimating U.S. state-level energy emissions
We take advantage of a long panel data set to estimate the relationship between U.S. state-level carbon dioxide (CO2) emissions, economic activity, and other factors. We specify a reduced-form energy demand model to account for energy consumption activities that drive energy-related emissions. We contribute to the literature by exploring several spatial panel data models to account for spatial dependence between states. Estimation results and rigorous diagnostic analysis suggest that: (1) economic distance plays a role in intra- and inter-state CO2 emissions; and (2) there are statistically significant, positive economic spillovers and negative price spillovers to state-level emissions.
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- Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
- Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR, 2009.
"Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model,"
LEO Working Papers / DR LEO
1546, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
- Nicolas Debarsy & Cem Ertur, 2009. "Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model," Post-Print halshs-00414133, HAL.
- Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
- Auffhammer, Maximilian & Carson, Richard T., 2008.
"Forecasting the path of China's CO2 emissions using province-level information,"
Journal of Environmental Economics and Management,
Elsevier, vol. 55(3), pages 229-247, May.
- Auffhammer, Maximilian & Carson, Richard T., 2007. "Forecasting the Path of China's CO2 Emissions Using Province Level Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6d28j8rg, Department of Agricultural & Resource Economics, UC Berkeley.
- Hausman, Jerry A, 1978.
"Specification Tests in Econometrics,"
Econometric Society, vol. 46(6), pages 1251-1271, November.
- Conley, Timothy G & Ligon, Ethan, 2002. "Economic Distance and Cross-Country Spillovers," Journal of Economic Growth, Springer, vol. 7(2), pages 157-187, June.
- Itkonen, Juha V.A., 2012. "Problems estimating the carbon Kuznets curve," Energy, Elsevier, vol. 39(1), pages 274-280.
- P Burridge, 1981.
"Testing for a common factor in a spatial autoregression model,"
Environment and Planning A,
Pion Ltd, London, vol. 13(7), pages 795-800, July.
- P Burridge, 1981. "Testing for a Common Factor in a Spatial Autoregression Model," Environment and Planning A, , vol. 13(7), pages 795-800, July.
- Auffhammer, Maximilian & Steinhauser, Ralf, 2006.
"The Future Trajectory of US CO2 Emissions: The Role of State vs. Aggregate Information,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt4878j5w0, Department of Agricultural & Resource Economics, UC Berkeley.
- Richard T. Carson, 2010. "The Environmental Kuznets Curve: Seeking Empirical Regularity and Theoretical Structure," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(1), pages 3-23, Winter.
- Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
- Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
- Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2002. "Comparison of forecast performance for homogeneous, heterogeneous and shrinkage estimators: Some empirical evidence from US electricity and natural-gas consumption," Economics Letters, Elsevier, vol. 76(3), pages 375-382, August.
- Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003.
"Measuring the benefits of air quality improvement: a spatial hedonic approach,"
Journal of Environmental Economics and Management,
Elsevier, vol. 45(1), pages 24-39, January.
- Kim, Chong Won & Phipps, Tim T. & Anselin, Luc, 1998. "Measuring The Benefits Of Air Quality Improvement: A Spatial Hedonic Approach," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
- Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
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