Methods and Models for Costing Carbon Mitigation

Posted: 22 Oct 2013

See all articles by Jayant Sathaye

Jayant Sathaye

University of California, Berkeley - Lawrence Berkeley National Laboratory (Berkeley Lab)

P.R. Shukla

Indian Institute of Management (IIM), Ahmedabad

Date Written: October 2013

Abstract

Using the results of more than 20 different global models with a particular emphasis on two rapidly growing large countries (China and India), this paper discusses the cost estimation methods that are used in setting up information for organizing models and to illustrate their global applicability to China, Korea, Japan, India, Indonesia, Europe, Latin America, the Middle East, Africa, and the United States. Some clear points emerge from the intermodal comparison exercise. First, no single technology can play a leading role in global emission mitigation. Second, although participation of all the regions is important, regions where future demographic and economic growth is concentrated will share a large part of this burden. Third, different technologies are important for different regions for mitigating emissions in the most cost-effective way. Fourth, if stringent climate policy targets are to be met, then emission-reduction actions need to be undertaken as soon as possible.

Suggested Citation

Sathaye, Jayant and Shukla, Pryadarshi R., Methods and Models for Costing Carbon Mitigation (October 2013). Annual Review of Environment and Resources, Vol. 38, pp. 137-168, 2013, Available at SSRN: https://ssrn.com/abstract=2343680 or http://dx.doi.org/10.1146/annurev-environ-083111-092115

Jayant Sathaye (Contact Author)

University of California, Berkeley - Lawrence Berkeley National Laboratory (Berkeley Lab) ( email )

1 Cyclotron Road
Berkeley, CA 94720
United States

Pryadarshi R. Shukla

Indian Institute of Management (IIM), Ahmedabad ( email )

Vastrapur
Public Systems Group
Ahmedabad 380015, Gujarat
India
91 79 6307241 (Phone)
91 79 6306896 (Fax)

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
575
PlumX Metrics