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How Should Support for Climate-Friendly Technologies Be Designed?

pmid: 22314855
pmc: PMC3357883
Stabilizing global greenhouse gas concentrations at levels to avoid significant climate risks will require massive "decarbonization" of all the major economies over the next few decades, in addition to the reduced emissions from other GHGs and carbon sequestration. Achieving the necessary scale of emissions reductions will require a multifaceted policy effort to support a broad array of technological and behavioral changes. Change on this scale will require sound, well-thought-out strategies. In this article, we outline some core principles, drawn from recent social science research, for guiding the design of clean technology policies, with a focus on energy. The market should be encouraged to make good choices: pricing carbon emissions and other environmental damage, removing distorting subsidies and barriers to competition, and supporting RD&D broadly. More specific policies are required to address particular market failures and barriers. For those technologies identified as being particularly desirable, some narrower RD&D policies are available.
- Resources For The Future United States
- University of Gothenburg Sweden
- Resources For The Future United States
- Energy and Resources Institute India
- IVL - Swedish Environmental Research Institute Sweden
Technology, Social Values, Climate Change, Air Pollution, SDG 13 - Climate Action, Environmental Chemistry, Learning, Planning and Development, Marketing, Geography, Ecology, Climate-friendly technologies, Environmental Policy, Technology policies, Carbon pricing, Barriers
Technology, Social Values, Climate Change, Air Pollution, SDG 13 - Climate Action, Environmental Chemistry, Learning, Planning and Development, Marketing, Geography, Ecology, Climate-friendly technologies, Environmental Policy, Technology policies, Carbon pricing, Barriers
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).17 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 10% 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.Average
