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Wetenschap voor de verre toekomst

Translated title of the contribution: Science for the far future

Research output: Contribution to JournalArticleProfessional

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Abstract

Scientific evidence has become increasingly important in supporting policy decisions. Based on scientific predictions and economic assessments, precise
cost-benefit analyses can be developed to guide policymaking. I address the question of whether such analyses remain meaningful for policy decisions with long-term consequences, spanning multiple decades or even centuries. There are significant complications when applying cost-benefit analyses to long-term policy. Standard models allow weighing current costs and benefits against future ones through discounting, but this approach becomes problematic when future generations are involved. Moreover, uncertainties in scientific and economic projections increase over time. As a result, both the normative justification and predictive power of long-term cost-benefit analyses diminish. I illustrate the problems by means of the case study of Integrated Assessment Models (IAMs) in climate policy. I conclude that long-term policymaking cannot rely on cost-benefit analyses solely.
Translated title of the contributionScience for the far future
Original languageDutch
Pages (from-to)27-46
Number of pages20
JournalEthiek en Maatschappij
Volume27
Issue number1
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • cost benefit analysis
  • uncertainty
  • Intergenerational justice
  • IAMs

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