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What Should we Expect from Innovation? A Model-Based Assessment of the Environmental and Mitigation Cost Implications of Climat

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  • Carraro, Carlo
  • Duval, Romain
  • Bosetti, Valentina
  • Tavoni, Massimo

Abstract

This paper addresses two basic issues related to technological innovation and climate stabilisation objectives: i) Can innovation policies be effective in stabilising greenhouse gas concentrations? ii) To what extent can innovation policies complement carbon pricing (taxes or permit trading) and improve the economic efficiency of a mitigation policy package? To answer these questions, we use an integrated assessment model with multiple externalities and an endogenous representation of technical progress in the energy sector. We evaluate a range of innovation policies, both as a stand-alone instrument and in combination with other mitigation policies. Even under fairly optimistic assumptions about the funding available for, and the returns to R&D, our analysis indicates that innovation policies alone are unlikely to stabilise global concentration and temperature. The efficiency gains of combining innovation and carbon pricing policies are found to reach about 10% for a stabilisation target of 535 ppm CO2eq. However, such gains are reduced when more plausible (sub-optimal) global innovation policy arrangements are considered.

Suggested Citation

  • Carraro, Carlo & Duval, Romain & Bosetti, Valentina & Tavoni, Massimo, 2010. "What Should we Expect from Innovation? A Model-Based Assessment of the Environmental and Mitigation Cost Implications of Climat," CEPR Discussion Papers 7751, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:7751
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    References listed on IDEAS

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    Cited by:

    1. Lehmann, Paul & Gawel, Erik, 2013. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," Energy Policy, Elsevier, vol. 52(C), pages 597-607.
    2. Massimo Tavoni & Enrica Cian & Gunnar Luderer & Jan Steckel & Henri Waisman, 2012. "The value of technology and of its evolution towards a low carbon economy," Climatic Change, Springer, vol. 114(1), pages 39-57, September.
    3. Enrica Cian & Valentina Bosetti & Massimo Tavoni, 2012. "Technology innovation and diffusion in “less than ideal” climate policies: An assessment with the WITCH model," Climatic Change, Springer, vol. 114(1), pages 121-143, September.
    4. Wei Jin, 2012. "International Knowledge Spillover and Technology Externality: Why Multilateral R&D Coordination Matters for Global Climate Governance," CAMA Working Papers 2012-53, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Wei Jin, 2012. "Can China Harness Globalization to Reap Carbon Savings? Modeling International Technology Diffusion in a Multi-region Framework," CAMA Working Papers 2012-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

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    More about this item

    Keywords

    Climate change; Energy r&d; Environmental policy; Stabilisation costs;
    All these keywords.

    JEL classification:

    • H0 - Public Economics - - General
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H3 - Public Economics - - Fiscal Policies and Behavior of Economic Agents
    • H4 - Public Economics - - Publicly Provided Goods
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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