Integrated assessment of energy policies: Decomposing top-down and bottom-up
By Christoph Böhringer, Thomos F. Rutherford. 2009
188 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/5a6e295067c2602bbc1ebdb6e520dadc1587d483
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In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector (2011, methodology): “…modelling techniques, this section has purposefully been kept brief (Tso & Yau 2007; Swan & V. Ismet Ugursal 2008; Strachan & Kannan 2008; McFarland et al. 2004; Kavgic et al. 2010; Jebaraj & Iniyan 2006; Aydinalp-Koksal & V. Ismet Ugursal 2008; Böhringer & Rutherford 2009; Tuladhar et al. 2009).”
- Evaluating the effectiveness of urban energy conservation and GHG mitigation measures: The case of Xiamen city, China (2010, methodology): “…energy-modeling approaches have been used to analyze the future trends of energy demand and GHG emissions and to develop GHG-reduction strategies; these can be categorized into three types: top-down, bottom-up, and hybrid models (Bohringer and Rutherford, 2009; Lin and Huang, 2009; Turton, 2008).”
- Distributional and Efficiency Impacts of Clean and Renewable Energy Standards for Electricity (2012, methodology): “Moreover, the bottom-up model involves a large number of bounds on decision variables, and the explicit representation of 19 associated income effects becomes intractable if directly solved within a GE framework (Böhringer and Rutherford, 2009).”