Robustness of climate metrics under climate policy ambiguity

Tommi Ekholm (Corresponding Author), Tomi J. Lindroos, Ilkka Savolainen

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)

Abstract

A wide array of alternatives has been proposed as the common metrics with which to compare the climate impacts of different emission types. Different physical and economic metrics and their parameterizations give diverse weights between e.g. CH4 and CO2, and fixing the metric from one perspective makes it sub-optimal from another. As the aims of global climate policy involve some degree of ambiguity, it is not possible to determine a metric that would be optimal and consistent with all policy aims. This paper evaluates the cost implications of using predetermined metrics in cost-efficient mitigation scenarios. Three formulations of the 2 °C target, including both deterministic and stochastic approaches, shared a wide range of metric values for CH4 with which the mitigation costs are only slightly above the cost-optimal levels. Therefore, although ambiguity in current policy might prevent us from selecting an optimal metric, it can be possible to select robust metric values that perform well with multiple policy targets.
Original languageEnglish
Pages (from-to)44-52
Number of pages9
JournalEnvironmental Science and Policy
Volume31
DOIs
Publication statusPublished - 2013
MoE publication typeA1 Journal article-refereed

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climate policy
environmental policy
climate
costs
cost
mitigation
climate effect
global climate
Values
parameterization
scenario
economics
policy

Keywords

  • climate economics
  • climate metric
  • climate policy

Cite this

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title = "Robustness of climate metrics under climate policy ambiguity",
abstract = "A wide array of alternatives has been proposed as the common metrics with which to compare the climate impacts of different emission types. Different physical and economic metrics and their parameterizations give diverse weights between e.g. CH4 and CO2, and fixing the metric from one perspective makes it sub-optimal from another. As the aims of global climate policy involve some degree of ambiguity, it is not possible to determine a metric that would be optimal and consistent with all policy aims. This paper evaluates the cost implications of using predetermined metrics in cost-efficient mitigation scenarios. Three formulations of the 2 °C target, including both deterministic and stochastic approaches, shared a wide range of metric values for CH4 with which the mitigation costs are only slightly above the cost-optimal levels. Therefore, although ambiguity in current policy might prevent us from selecting an optimal metric, it can be possible to select robust metric values that perform well with multiple policy targets.",
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Robustness of climate metrics under climate policy ambiguity. / Ekholm, Tommi (Corresponding Author); Lindroos, Tomi J.; Savolainen, Ilkka.

In: Environmental Science and Policy, Vol. 31, 2013, p. 44-52.

Research output: Contribution to journalArticleScientificpeer-review

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AB - A wide array of alternatives has been proposed as the common metrics with which to compare the climate impacts of different emission types. Different physical and economic metrics and their parameterizations give diverse weights between e.g. CH4 and CO2, and fixing the metric from one perspective makes it sub-optimal from another. As the aims of global climate policy involve some degree of ambiguity, it is not possible to determine a metric that would be optimal and consistent with all policy aims. This paper evaluates the cost implications of using predetermined metrics in cost-efficient mitigation scenarios. Three formulations of the 2 °C target, including both deterministic and stochastic approaches, shared a wide range of metric values for CH4 with which the mitigation costs are only slightly above the cost-optimal levels. Therefore, although ambiguity in current policy might prevent us from selecting an optimal metric, it can be possible to select robust metric values that perform well with multiple policy targets.

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