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Simulating emissions intensity targets with energy economic models: algorithm and application

Yiyong Cai, Yingying Lu (), Alison Stegman and David Newth
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Yingying Lu: Shanghai University, Economics and Management Building
Alison Stegman: Australian National University
David Newth: Commonwealth Scientific and Industrial Research Organisation (CSIRO)

Annals of Operations Research, 2017, vol. 255, issue 1, 141-155

Abstract: Abstract Pressure on developing economies to make quantifiable emissions reduction commitments has led to the introduction of intensity based emissions targets, where reductions in emissions are specified with reference to some measure of economic output. The Copenhagen commitments of China and India are two prominent examples. Intensity targets substantially increase the complexity of policy simulation and analysis, because a given emissions intensity target could be satisfied with a range of emissions and output combinations. Here, a simple algorithm, the Iterative Method, is proposed for an energy economic model to find a unique policy solution that achieves an emissions intensity target at minimum economic loss. We prove the mathematical properties of the algorithm, and compare its numerical performance with other methods’ in the existing literature.

Keywords: Energy economic model; Simulation; Climate policy; Emissions intensity target (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:spr:annopr:v:255:y:2017:i:1:d:10.1007_s10479-015-1927-0