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Replication Date for: Build back better? Effects of crisis on climate change adaptation in Japan and the US

Research datakeyboard_double_arrow_right Dataset 01 Jan 2020Embargo end date: 24 Jun 2020Publisher:Harvard Dataverse

Authors: Fraser, Timothy; Cunningham, Lily; Nasongo, Amos;

doi: 10.7910/dvn/xojsqy

Replication Date for: Build back better? Effects of crisis on climate change adaptation in Japan and the US

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Abstract

Do communities struck by disaster build back better, or not? Recent small and medium N studies have shown mixed effects. This mixed methods study tests the effect of disasters on the adoption of solar power, as a key form of building back better and adapting to climate change. To text this effect, we apply a large-N longitudinal matching experiment on cities affected and unaffected by disaster paired with qualitative case studies, focusing on the 2011 triple disaster in Japan and Hurricane Sandy in 2012 in the US. We find that disaster hit cities can and do adopt more solar farms and rooftop solar than cities unaffected by crisis, and that the community resources of these disaster hit communities shapes their adoption patterns. By clarifying the effects of disasters on the build-back-better phenomenon in comparative cases, this study aims to guide recovery priorities after large scale shocks.

All data will be released for replication upon publication.

Related Organizations

Northeastern University
China (People's Republic of)

Keywords

reconstruction, Social Sciences, 3/11, renewable energy, solar, Japan, Earth and Environmental Sciences, disaster, Hurricane Sandy, renewable, resilience, build back better

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average