The Dynamics of Carbon and Energy Intensity in a Model of Endogenous Technical Change

By Valentina Bosetti, Carlo Carraro, Marzio Galeotti. 2006

122 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/8e9602e7cb87d67318fd69b70c0b6b41132f1fbc

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Citations in the corpus

Plan or React? Analysis of Adaptation Costs and Benefits Using Integrated Assessment Models (2011, methodology): “The WITCH model is a hard-linked, energy-economy-climate model designed to deal with main features of climate change (Bosetti et al. 2006, Bosetti et al. 2007, Bosetti et al., 2009).”
The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project (2006, methodology): “DEMETER-1CCS (Gerlagh, 2006) is a dynamic general equilibrium model, IMACLIM-R is a dynamic recursive growth model and FEEM-RICE (Bosetti et al. 2006), ENTICE-BR (Popp, 2006) and now AIM/Dy--BR (Popp, 2006) and now AIM/Dy-(Popp, 2006) and now AIM/Dy-namic-Global (Masui et al., 2006) are endogenous…”
Negishi welfare weights in integrated assessment models: the mathematics of global inequality (2011, unknown): “2006)—and regionally disaggregated models—RICE-2004 (Yang and Nordhaus 2006), FEEMRICE (Bosetti et al. 2006), FUND (Tol 1999), MERGE (Manne and Richels 2004), CETA-M (Peck and Teisberg 1999), GRAPE (Kurosawa 2004), and AIM/Dynamic Global (Masui et al.”
Corporate Carbon Performance Indicators (2008, background): “On the macro level, approaches have considered carbon inputs (EIA 1995; Bosetti et al. 2006; Huesemann 2006) as well as carbon outputs (Lebel et al. 2007; Raupach et al. 2007) to determine intensity indicators that describe carbon flows within an economic system.”
Inside the integrated assessment models: Four issues in climate economics (2009, background): “, 2006b), and seven regionally disaggregated welfare maximization models: RICE-2004 (Yang and Nordhaus, 2006), FEEM-RICE (Bosetti et al., 2006), FUND (Tol, 1999), MERGE (Manne and Richels, 2004), CETA-M (Peck and Teisberg, 1999), GRAPE (Kurosawa, 2004) and AIM/Dynamic Global (Masui et al.”
Climate policy modeling: An online SCI-E and SSCI based literature review (2015, unknown): “RICE Optimization [47] GREEN CGE [88] SGM CGE [89] CEEPA CGE [87] R&D-induced ETC-RICE Optimization [90] R&DICE Optimization [91] ENTICE Optimization [84] Learning-induced GET-LFL Optimization [92] FEEM-RICE Optimization [93] ICAM-3 Simulation [85] Direct price-induced IMAGE Simulation [94] ICAM-3 S”
Induced Technological Change: Exploring its Implications for the Economics of Atmospheric Stabilization: Synthesis Report from the innovation Modeling Comparison Project (2006, methodology): “FEEM-RICE (Bosetti et al. 2006) is modeled after Nordhaus’ regionalized integrated assessment model, RICE 99 (Nordhaus and Boyer 2000).”
Climate Change Mitigation Options and Directed Technical Change: A Decentralized Equilibrium Analysis (2011, methodology): “The strand of literature on economic growth and climate change contains mostly optimization models (see for instance Bosetti et al., 2006; Edenhofer et al., 2005, 2006; Gerlagh 2006; Gerlagh and Van Der Zwaan 2006; Popp, 2004, 2006a, 2006b).”