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Intergenerational equity, discounting, and the role of cost-benefit analysis in evaluating global climate policy

When public policies with impacts far into the future are being debated, the question inevitably is raised whether cost-benefit analysis which discounts future costs and benefits is not biased against future generations and whether, if such discounting is appropriate at all, a lower rate should be used to avoid such bias. The debate on global climate change is no exception. This paper sketches and analyses the welfare foundations of cost-benefit analysis and from this perspective analyses the role of cost-benefit analysis in the climate policy debate, particularly with reference to intergenerational effects. The paper concludes that the cost-benefit criterion cannot provide a definitive basis for deciding whether we should commit to a longer-term programme to moderate climate change; the issues of intergenerational equity are not that global climate change will significantly lower the GNP of future generations, but relate to the possibility of science fiction-like changes in the planet that will produce catastrophic effects in the future; and the typical way in which the cost-benefit problem is posed obscures the basic choices that we should be evaluating.
- Cornell University United States
- St. Petersburg Christian University Russian Federation
- Saint-Petersburg State University
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).104 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.Top 10%
