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Beyond Technology: Demand-Side Solutions for Climate Change Mitigation

The assessment literature on climate change solutions to date has emphasized technologies and options based on cost-effectiveness analysis. However, many solutions to climate change mitigation misalign with such analytical frameworks. Here, we examine demand-side solutions, a crucial class of mitigation options that go beyond technological specification and cost-benefit analysis. To do so, we synthesize demand-side mitigation options in the urban, building, transport, and agricultural sectors. We also highlight the specific nature of demand-side solutions in the context of development. We then discuss key analytical considerations to integrate demand-side options into overarching assessments on mitigation. Such a framework would include infrastructure solutions that interact with endogenous preference formation. Both hard infrastructures, such as the built environment, and soft infrastructures, such as habits and norms, shape behavior and as a consequence offer significant potential for reducing overall energy demand and greenhouse gas emissions. We conclude that systemic infrastructural and behavioral change will likely be a necessary component of a transition to a low-carbon society.
- University of London United Kingdom
- Yale University United States
- Middlesex University United Kingdom
- University of Oxford United Kingdom
- Technical University of Berlin Germany
transportation, lifestyle, behavior, greenhouse gas emissions, 330 Wirtschaft, demand-side measures, Agriculture, 710, buildings, urban infrastructure, climate change mitigation, structural change, end use, agriculture, ddc: ddc:330
transportation, lifestyle, behavior, greenhouse gas emissions, 330 Wirtschaft, demand-side measures, Agriculture, 710, buildings, urban infrastructure, climate change mitigation, structural change, end use, agriculture, ddc: ddc:330
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).217 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.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1% visibility views 2 download downloads 9 - 2views9downloads
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