Elasticity of Substitution between Clean and Dirty Energy Inputs - A Macroeconomic Perspective

By C. Papageorgiou, Marianne Saam, Patrick Schulte. 2013

161 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/79a9a1b93b35548e50bcc0573992f5921b9cec7e

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. J. Álvarez
2. Stephie Fried
3. Esteban Rossi-Hansberg
4. Giovanni Peri
5. Arnaud Costinot
6. David J. Deming
7. Stephen J. Redding
8. Richard E. Baldwin

In Environmental Engineering

1. Esteban Rossi-Hansberg
2. J. Álvarez

In Renewable Energy, Sustainability and the Environment

1. Stephie Fried
2. Esteban Rossi-Hansberg
3. J. Álvarez

Citations in the corpus

• The Economic Geography of Global Warming (2021, methodology): “Papageorgiou et al. (2017) finds that the elasticity of substitution for electricity generating industries is 2 and for non-energy industries is 3.”
• Climate Policy and Innovation: A Quantitative Macroeconomic Analysis (2018, background): “Empirical estimates from Lanzi and Sue Wing (2010) and Papageorgiou, Saam, and Schulte (2013) range from 1.6-3.”