Defining deep decarbonization pathways for Switzerland: an economic evaluation

Frédéric Babonneau, Philippe Thalmann and Marc Vielle

Climate Policy, 2018, vol. 18, issue 1, 1-13

Abstract: This article simulates deep decarbonization pathways for a small open economy that lacks the usual avenues for large CO2 reductions – heavy industry and power generation. A computable general equilibrium model is used to assess the energy and economic impacts of the transition to only one ton of CO2 emissions per capita in 2050. This represents a 76% reduction with respect to 1990 levels, while the population is expected to be 46% larger and GPD to increase by 90%. The article discusses several options and scenarios that are compatible with this emissions target and compares them with a reference scenario that extrapolates already-decided climate and energy policy instruments. We show that the ambitious target is attainable at moderate welfare costs, even if it needs very high carbon prices, and that these costs are lower when either CO2 can be captured and sequestered or electricity consumption can be taxed sufficiently to stabilize it.Policy relevanceIn the context of COP 21, all countries must propose intended contributions that involve deep decarbonization of their economy over the next decades. This article defines and analyses such pathways for Switzerland, taking into consideration the existing energy demand and supply and also already-defined climate policies. It draws several scenarios that are compatible with a target of 1 ton of CO2 emissions per capita in 2050. This objective is very challenging, especially with the nuclear phase out decided after the disaster in Fukushima and the political decision to balance electricity trade. Nevertheless, it is possible to design several feasible pathways that are based on different options. The economic cost is significant but affordable for the Swiss economy. The insights are relevant not only for Switzerland, but also for other industrialized countries when defining their INDCs.

Date: 2018
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DOI: 10.1080/14693062.2016.1227952

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