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Optimal international technology cooperation for the low-carbon transformation

Anselm Schultes, Marian Leimbach, Gunnar Luderer, Robert C. Pietzcker, Lavinia Baumstark, Nico Bauer, Elmar Kriegler and Ottmar Edenhofer

Climate Policy, 2018, vol. 18, issue 9, 1165-1176

Abstract: Research on low-carbon transformation pathways has focused on carbon pricing as a means for climate stabilization. By contrast, technology policies remain the more prominent national climate policy instruments today: renewable energy subsidies amount to more than US$100 billion per year globally – more than twice the value of priced carbon in 2016. Given technology spillovers and global learning effects, it remains unclear how technology policies can be coordinated internationally as part of climate stabilization policy. Our study is the first to derive optimal technology and climate policy for the 2$^{\circ }$∘C target using an energy-economy-climate model. We show an economic rationale to include an international technology protocol alongside carbon pricing: Cumulative low-carbon subsidies of more than US$1 trillion from 2020 until the end of the century mainly support solar power as well as electric- and hydrogen-powered passenger vehicles. Higher carbon pricing could replace subsidies at very low cost, but mitigation cost increases from delayed carbon pricing can be reduced only somewhat by stepping up subsidies. Our study suggests that existing low-carbon subsidies must be complemented by full carbon pricing to achieve 2$^{\circ }$∘C cost-efficiently: Alongside the optimal carbon price, low-carbon subsidies should amount to no more than ∼6% of the value of priced carbon.Key policy insightsInternational spillovers in low-carbon technologies may slow their deployment. We derive optimal technology and climate policy for 2$^{\circ }$∘C in an energy-economy-climate model. Subsidies of more than US$1 trillion support mainly solar and advanced car technologies. Replacing all subsidies by carbon pricing barely increases mitigation costs.

Date: 2018
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Citations: View citations in EconPapers (5)

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DOI: 10.1080/14693062.2017.1409190

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