The Imaclim-R model: infrastructures, technical inertia and the costs of low carbon futures under imperfect foresight

By H. Waisman, Céline Guivarch, F. Grazi, J. Charles Hourcade. Climatic Change, 2012

121 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/8f47cc76807b3cedc8cf5782f4ea1d7624aab3f6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Jeongjin Lee
2. Juneseuk Shin
3. Chanwoong Jeon

In Renewable Energy, Sustainability and the Environment

1. Jeongjin Lee
2. Juneseuk Shin
3. Chanwoong Jeon

Citations in the corpus

• Making or breaking climate targets: : The AMPERE study on staged accession scenarios for climate policy (2015, unknown): “IMACLIM accompanied carbon pricing with policy measures aimed at controlling the long-term dynamics of transport-related emissions in all climate policy scenarios [52], and measures to make labor markets more flexible [53].”
• Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case (2015, methodology): “Reviewing several macro-level energy models, including ENTICE [64], IMACLIM-R [65], ReMIND-R [66], and WITCH [67], the key factors can be classified into three categories: energy, economy, and environment.”