Cost comparison of climate change mitigation options

Luis Pena-Levano, Farzad Taheripour and Wally Tyner

No 333134, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project

Abstract: The global community has reaffirmed its commitment to reduce greenhouse emissions to control the expected increase in the global average temperature. Thus, many governments and private sectors are interested in the cost-efficiency of frequently discussed mitigation methods – forest and pasture carbon sequestration (FPCS) subsidy, carbon tax, and biofuels – and their impacts on the global economy. We modified our new developed computable general equilibrium for the analysis. We simulate different rates to observe their mitigation potentials. Our results suggest that there is a trade-off between cost-efficiency and emission reduction between policies, where tax can achieve larger emission reductions under the same rate of FPCS but with higher economic costs. Likewise, combining tax and an equivalent subsidy has a larger reduction potential due to the synergistic effects, but food prices increase dramatically. Biofuels proved to be costlier than FPCS or tax. Keywords: climate change, food price, mitigation policies, sequestration subsidy, carbon tax JEL codes: Q15, R52, Q54.

Keywords: Environmental; Economics; and; Policy (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/333134/files/9768.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:333134

Access Statistics for this paper

More papers in Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().