A multi-sector intertemporal optimization approach to assess the GHG implications of U.S. forest and agricultural biomass electricity expansion
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- Latta, Gregory S. & Baker, Justin Scott & Beach, Robert H. & Rose, Steven K. & McCarl, Bruce A., 2013. "A Multi-Sector Intertemporal Optimization Approach to Assess the GHG Implications of U.S. Forest and Agricultural Biomass Electricity Expansion," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150293, Agricultural and Applied Economics Association.
References listed on IDEAS
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Olivia Cintas & Göran Berndes & Annette L. Cowie & Gustaf Egnell & Hampus Holmström & Göran I. Ågren, 2016. "The climate effect of increased forest bioenergy use in Sweden: evaluation at different spatial and temporal scales," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(3), pages 351-369, May.
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More about this item
KeywordsRenewable electricity; Bioenergy Forest sector modeling; Land-use change;
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
- Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
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