Evaluating energy efficiency policies with energy-economy models
By L. Mundaca, Lena Neij, Ernst Worrell, Michael Mcneil. 2010
162 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/93ed0c8720e3aa6de3ecf9408e57ad711081ddb6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Volker Krey
- L. Hesselink
- D. Moser
- Matteo Giacomo Prina
- W. Sparber
- Giampaolo Manzolini
- É. Chappin
- Bas J. van Ruijven
In Renewable Energy, Sustainability and the Environment
- D. V. van Vuuren
- Elmar Kriegler
- Volker Krey
- Bas J. van Ruijven
- Charlie Wilson
- L. Hesselink
- E. Thompson
- C. Bataille
Citations in the corpus
- Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies (2019, methodology): “Type of policy instrument Policy instrument Policy directed at References Economic, financial and market based instruments Taxes (reductions, credits, exemptions, energy tax) Households [4,15] Subsidies and grants Households [4,15–17] Tradable white certificates Intermediary parties [4,15,18–21] Sof”
- Classification and challenges of bottom-up energy system models - A review (2020, background): “[16] in 2010 proposed a review of bottom-up energy system models focusing on how these models include and implement energy efficiency of the household sector.”
- Does education increase pro-environmental behavior? Evidence from Europe (2015, background): “5 that higher education levels are associated with energy saving behavior (Mundaca et al., 2010; Poortinga et al., 2004).”
- Evaluating process-based integrated assessment models of climate change mitigation (2017, background): “How the producers and users of knowledge interact may be as important in determining the credibility of IAMs as the modelling analysis itself (Fischhoff 2015; Nakicenovic et al. 2014).”
- The need for national deep decarbonization pathways for effective climate policy (2016, methodology): “…that capture some or most of the key dynamics by themselves or linked with others is wide, including bottom-up accounting, simulation and optimization models, as well as hybridized top-down CGE or econometric models8 (see Mundaca et al. (2010) for a recent review, and Pye and Bataille (2016).”