IDEAS home Printed from https://ideas.repec.org/r/tpr/restat/v94y2012i1p172-185.html
   My bibliography  Save this item

Forecasting The Path of U.S. CO_2 Emissions Using State-Level Information

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Dilek Uz & Steven Buck, 2020. "Comparing Water Use Forecasting Model Selection Criteria: The Case of Commercial, Institutional, and Industrial Sector in Southern California," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
  2. Patrick Doupe, 2014. "The Costs of Error in Setting Reference Rates for Reduced Deforestation," CCEP Working Papers 1415, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
  3. Eddy Bekkers & Joseph F. Francois & Hugo Rojas†Romagosa, 2018. "Melting Ice Caps and the Economic Impact of Opening the Northern Sea Route," Economic Journal, Royal Economic Society, vol. 128(610), pages 1095-1127, May.
  4. Bennedsen, Mikkel & Hillebrand, Eric & Koopman, Siem Jan, 2021. "Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors," Energy Economics, Elsevier, vol. 96(C).
  5. Francois, Joseph & Leister, Amanda M. & Rojas-Romagosa, Hugo, 2015. "Melting Ice Caps: Implications for Asia-North America Linkages and the Panama Canal," Conference papers 332671, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  6. Michael Cary, 2020. "Have greenhouse gas emissions from US energy production peaked? State level evidence from six subsectors," Environment Systems and Decisions, Springer, vol. 40(1), pages 125-134, March.
  7. Newell, Richard G. & Prest, Brian C. & Sexton, Steven E., 2021. "The GDP-Temperature relationship: Implications for climate change damages," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
  8. Imad Moosa, 2018. "Growth and Environmental Degradation in MENA Countries: Methodological Issues and Empirical Evidence," Working Papers 1260, Economic Research Forum, revised 03 Dec 2018.
  9. Doupe, Patrick, 2014. "The costs of error in setting reference rates for reduced deforestation," Working Papers 249497, Australian National University, Centre for Climate Economics & Policy.
  10. Fosten, Jack, 2019. "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, vol. 83(C), pages 415-429.
  11. Yang, Haisheng & He, Jie & Chen, Shaoling, 2015. "The fragility of the Environmental Kuznets Curve: Revisiting the hypothesis with Chinese data via an “Extreme Bound Analysis”," Ecological Economics, Elsevier, vol. 109(C), pages 41-58.
  12. Xue-Ting Jiang & Rongrong Li, 2017. "Decoupling and Decomposition Analysis of Carbon Emissions from Electric Output in the United States," Sustainability, MDPI, vol. 9(6), pages 1-13, May.
  13. Chen, Cuicui & Zeckhauser, Richard, 2018. "Collective action in an asymmetric world," Journal of Public Economics, Elsevier, vol. 158(C), pages 103-112.
  14. Yanan Liu & Yixuan Gao & Yu Hao & Hua Liao, 2016. "The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data," Energies, MDPI, vol. 9(10), pages 1-11, October.
  15. James G. Baldwin & Ian Sue Wing, 2013. "The Spatiotemporal Evolution Of U.S. Carbon Dioxide Emissions: Stylized Facts And Implications For Climate Policy," Journal of Regional Science, Wiley Blackwell, vol. 53(4), pages 672-689, October.
  16. Mikkel Bennedsen & Eric Hillebrand & Sebastian Jensen, 2022. "A Neural Network Approach to the Environmental Kuznets Curve," CREATES Research Papers 2022-09, Department of Economics and Business Economics, Aarhus University.
  17. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
  18. Vu, Khoa & Vuong, Nguyen Dinh Tuan & Vu-Thanh, Tu-Anh & Nguyen, Anh Ngoc, 2022. "Income shock and food insecurity prediction Vietnam under the pandemic," World Development, Elsevier, vol. 153(C).
  19. Buck, Steven & Soldati, Hilary & Sunding, David L., 2015. "Forecasting Urban Water Demand in California: Rethinking Model Evaluation," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205737, Agricultural and Applied Economics Association.
  20. Hua Liao & Huaishu Cao, 2012. "How does carbon dioxide emission change with the economic development? Statistical experiences from 132 countries," CEEP-BIT Working Papers 54, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  21. Steven Lugauer & Richard Jensen & Clayton Sadler, 2014. "An Estimate Of The Age Distribution'S Effect On Carbon Dioxide Emissions," Economic Inquiry, Western Economic Association International, vol. 52(2), pages 914-929, April.
  22. Christoph Jeßberger, 2011. "Multilateral Environmental Agreements up to 2050: Are They Sustainable Enough?," ifo Working Paper Series 98, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  23. Didier Nibbering & Richard Paap, 2024. "Forecasting carbon emissions using asymmetric grouping," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2228-2256, September.
  24. Liao, Hua & Cao, Huai-Shu, 2018. "The pattern of electricity use in residential sector: The experiences from 133 economies," Energy, Elsevier, vol. 145(C), pages 515-525.
  25. Yung-Kuan Chan & Ming-Yuan Hsieh, 2022. "An Empirical Study on Higher Education C-ESG Sustainable Development Strategy in Lower-Birth-Rate Era," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
  26. Bennedsen, Mikkel & Hillebrand, Eric & Jensen, Sebastian, 2023. "A neural network approach to the environmental Kuznets curve," Energy Economics, Elsevier, vol. 126(C).
  27. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.