The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework

By Ian Sue Wing. 2008

167 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/31282249dbcc042f2d581b5d100a728f39694d0d

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. Y. Mu
2. D. Roland-Holst
3. Can Wang
4. S. Evans
5. W. Cai
6. J. Peters

In Environmental Engineering

1. Y. Mu
2. D. Roland-Holst
3. Can Wang
4. S. Evans
5. W. Cai
6. J. Peters

Citations in the corpus

• Employment impacts of renewable energy policies in China: A decomposition analysis based on a CGE modeling framework (2018, methodology): “…type in 2012 from the China Electricity Council [42] and levelized costs from the International Energy Agency [43] were used to split the input-output data of electricity sector following the methodology of Peters and Hertel (2016) [44] and Sue Wing (2008) [45] to calibrate the CHEER model.”
• The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base (2016, methodology): “This is similar to a technique previously employed to allocate capital between transmission and distribution and generation (Sue Wing, 2008) and to allocate costs to different generation types for input-output analysis (Marriott, 2007).”