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Climate Engineering: Cost benefit and beyond

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International efforts on abating climate change, focusing on reductions of greenhouse gas emissions, have thus far proved unsuccessful. This motivates exploration of other strategies such as climate engineering. We modify the Dynamic Integrated model of Climate and the Economy (DICE), and use it in a cost-benefit analysis of climate engineering specifically deposition of sulphur in the stratosphere. The model simulations show that climate engineering passes a cost-benefit test. The cost of postponing climate engineering by 20-30 years is relatively low. Going beyond these standard cost-benefit analyses, climate engineering may still fail. Voters may dislike the idea of climate engineering; they do not like the idea of tampering with nature, and their dislike stands independent of outcomes of cost-benefit analyses.

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  • Gramstad, Kjetil & Tjøtta, Sigve, 2010. "Climate Engineering: Cost benefit and beyond," Working Papers in Economics 05/10, University of Bergen, Department of Economics.
  • Handle: RePEc:hhs:bergec:2010_005
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    1. North, Douglass C, 1994. "Economic Performance through Time," American Economic Review, American Economic Association, vol. 84(3), pages 359-368, June.
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    1. Johannes Emmerling & Massimo Tavoni, 2018. "Climate Engineering and Abatement: A ‘flat’ Relationship Under Uncertainty," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(2), pages 395-415, February.
    2. Massimo Tavoni & Valentina Bosetti & Soheil Shayegh & Laurent Drouet & Johannes Emmerling & Sabine Fuss & Timo Goeschl & Celine Guivarch & Thomas S. Lontzek & Vassiliki Manoussi & Juan Moreno-Cruz & H, 2017. "Challenges and Opportunities for Integrated Modeling of Climate Engineering," Working Papers 2017.38, Fondazione Eni Enrico Mattei.
    3. Johannes Emmerling & Vassiliki Manoussi & Anastasios Xepapadeas, 2016. "Climate Engineering under Deep Uncertainty and Heterogeneity," Working Papers 2016.52, Fondazione Eni Enrico Mattei.
    4. Manousi, Vasiliki & Anastasios, Xepapadeas, 2013. "Mitigation and Solar Radiation Management in Climate Change Policies," Economy and Society 150372, Fondazione Eni Enrico Mattei (FEEM).
    5. Heutel, Garth & Moreno-Cruz, Juan & Shayegh, Soheil, 2018. "Solar geoengineering, uncertainty, and the price of carbon," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 24-41.
    6. Dovern, Jonas & Harnisch, Sebastian & Klepper, Gernot & Platt, Ulrich & Oschlies, Andreas & Rickels, Wilfried, 2015. "Radiation Management: Gezielte Beeinflussung des globalen Strahlungshaushalts zur Kontrolle des anthropogenen Klimawandels," Kiel Discussion Papers 549/550, Kiel Institute for the World Economy (IfW Kiel).
    7. Heutel, Garth & Moreno-Cruz, Juan & Shayegh, Soheil, 2016. "Climate tipping points and solar geoengineering," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 19-45.
    8. Ahlvik, Lassi & Iho, Antti, 2018. "Optimal geoengineering experiments," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 148-168.
    9. Johannes Emmerling & Massimo Tavoni, 2017. "Quantifying Non-cooperative Climate Engineering," Working Papers 2017.58, Fondazione Eni Enrico Mattei.
    10. Manoussi, Vassiliki & Xepapadeas, Anastasios & Emmerling, Johannes, 2018. "Climate engineering under deep uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 207-224.

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    More about this item

    Keywords

    Climate change; climate engineering; cost-benefit analyses; public choice.;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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