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A spatial panel data approach to estimating U.S. state-level energy emissions

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  • Burnett, J. Wesley
  • Bergstrom, John C.
  • Dorfman, Jeffrey H.

Abstract

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.

Suggested Citation

  • Burnett, J. Wesley & Bergstrom, John C. & Dorfman, Jeffrey H., 2013. "A spatial panel data approach to estimating U.S. state-level energy emissions," Energy Economics, Elsevier, vol. 40(C), pages 396-404.
  • Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:396-404
    DOI: 10.1016/j.eneco.2013.07.021
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    References listed on IDEAS

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    Cited by:

    1. repec:eee:eneeco:v:68:y:2017:i:c:p:548-565 is not listed on IDEAS
    2. Burnett, J. Wesley, 2016. "Club convergence and clustering of U.S. energy-related CO2 emissions," Resource and Energy Economics, Elsevier, vol. 46(C), pages 62-84.
    3. J. Wesley Burnett & Xueting Zhao, 2014. "Forecasting U.S. State-Level Carbon Dioxide Emissions," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 223-240, Winter.
    4. repec:eee:ecmode:v:71:y:2018:i:c:p:159-173 is not listed on IDEAS
    5. Rodríguez, Miguel & Pena-Boquete, Yolanda & Pardo-Fernández, Juan Carlos, 2016. "Revisiting Environmental Kuznets Curves through the energy price lens," Energy Policy, Elsevier, vol. 95(C), pages 32-41.
    6. repec:gam:jsusta:v:9:y:2017:i:4:p:674-:d:96631 is not listed on IDEAS
    7. Marbuah, George & Amuakwa-Mensah, Franklin, 2017. "Spatial analysis of emissions in Sweden," Energy Economics, Elsevier, vol. 68(C), pages 383-394.
    8. Xianhua Wu & Yufeng Chen & Ji Guo & Guizhi Wang & Yeming Gong, 2017. "Spatial concentration, impact factors and prevention-control measures of PM2.5 pollution in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 393-410, March.
    9. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    10. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    11. Qiang Liu & Alun Gu & Fei Teng & Ranping Song & Yi Chen, 2017. "Peaking China’s CO 2 Emissions: Trends to 2030 and Mitigation Potential," Energies, MDPI, Open Access Journal, vol. 10(2), pages 1-22, February.
    12. repec:ris:invreg:0369 is not listed on IDEAS
    13. Yan-Qing Kang & Tao Zhao & Peng Wu, 2016. "Impacts of energy-related CO2 emissions in China: a spatial panel data technique," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 405-421, March.
    14. Suh, Dong Hee, 2017. "A Spatial Analysis on Corn Production: Implication for Ethanol Sustainability," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258198, Agricultural and Applied Economics Association.
    15. Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
    16. repec:eee:eneeco:v:66:y:2017:i:c:p:205-216 is not listed on IDEAS
    17. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
    18. repec:rrs:journl:v:11:y:2017:i:1:p:18-35 is not listed on IDEAS
    19. repec:eee:energy:v:147:y:2018:i:c:p:858-875 is not listed on IDEAS
    20. repec:gam:jsusta:v:9:y:2017:i:7:p:1277-:d:105335 is not listed on IDEAS
    21. Shahbaz, Muhammad & Solarin, Sakiru Adebola & Hammoudeh, Shawkat & Shahzad, Syed Jawad Hussain, 2017. "Bounds Testing Approach to Analyzing the Environment Kuznets Curve Hypothesis: The Role of Biomass Energy Consumption in the United States with Structural Breaks," MPRA Paper 81840, University Library of Munich, Germany, revised 07 Oct 2017.

    More about this item

    Keywords

    Energy economics; Carbon dioxide; Spatial econometrics;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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