A research roadmap for quantifying non-state and subnational climate mitigation action

Angel Hsu (), Niklas Höhne, Takeshi Kuramochi, Mark Roelfsema, Amy Weinfurter, Yihao Xie, Katharina Lütkehermöller, Sander Chan, Jan Corfee-Morlot, Philip Drost, Pedro Faria, Ann Gardiner, David J. Gordon, Thomas Hale, Nathan E Hultman, John Moorhead, Shirin Reuvers, Joana Setzer, Neelam Singh, Christopher Weber and Oscar Widerberg
Additional contact information
Angel Hsu: Yale University
Niklas Höhne: Wageningen University & Research
Takeshi Kuramochi: NewClimate Institute
Mark Roelfsema: PBL Netherlands Environmental Assessment Agency
Amy Weinfurter: Yale School of Forestry and Environmental Studies
Yihao Xie: Yale School of Forestry and Environmental Studies
Katharina Lütkehermöller: NewClimate Institute
Sander Chan: Deutsches Institut für Entwicklungspolitik
Jan Corfee-Morlot: New Climate Economy
Philip Drost: UN Environment
Pedro Faria: CDP
Ann Gardiner: AG Climate and Energy Ltd
David J. Gordon: University of California, Santa Cruz
Thomas Hale: University of Oxford
Nathan E Hultman: University of Maryland
John Moorhead: Drawdown Switzerland
Shirin Reuvers: CDP
Joana Setzer: London School of Economics and Political Science
Neelam Singh: World Resources Institute
Christopher Weber: World Wildlife Fund
Oscar Widerberg: Vrije Universiteit Amsterdam

Nature Climate Change, 2019, vol. 9, issue 1, 11-17

Abstract: Abstract Non-state and subnational climate actors have become central to global climate change governance. Quantitatively assessing climate mitigation undertaken by these entities is critical to understand the credibility of this trend. In this Perspective, we make recommendations regarding five main areas of research and methodological development related to evaluating non-state and subnational climate actions: defining clear boundaries and terminology; use of common methodologies to aggregate and assess non-state and subnational contributions; systematically dealing with issues of overlap; estimating the likelihood of implementation; and addressing data gaps.

Date: 2019
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DOI: 10.1038/s41558-018-0338-z

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