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What is the growth potential of green innovation? An assessment of EU climate policy options

Author

Listed:
  • Andrea Conte
  • Ariane Labat
  • Janos Varga
  • Ziga Zarnic

Abstract

This paper provides a model-based analysis of the cost-efficiency of different EU climate policy options that could direct innovation in the private sector towards an environmentally sustainable growth path. Our objective is to assess different policy options in order to identify an appropriate policy-mix of environmental and innovation market instruments in terms of their cost-effectiveness. For this purpose, we develop a fully-dynamic, multisectoral DSGE model with endogenous technological change where we specifically identify its environmental content and we calibrate the model for the EU and the rest of the world. Our results suggest that an appropriate policy mix should intensively stimulate R&D in the green sectors in the short-run and phase-it out by spreading the R&D support to all sectors of the economy in the medium-term. Although intuitive, the orders of magnitude presented in this paper should be interpreted with caution by taking into account the underlying assumptions of the model and identification of green innovation data.

Suggested Citation

  • Andrea Conte & Ariane Labat & Janos Varga & Ziga Zarnic, 2010. "What is the growth potential of green innovation? An assessment of EU climate policy options," European Economy - Economic Papers 2008 - 2015 413, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  • Handle: RePEc:euf:ecopap:0413
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    File URL: http://ec.europa.eu/economy_finance/publications/economic_paper/2010/pdf/ecp413_en.pdf
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    References listed on IDEAS

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    1. Ratto, Marco & Roeger, Werner & Veld, Jan in 't, 2009. "QUEST III: An estimated open-economy DSGE model of the euro area with fiscal and monetary policy," Economic Modelling, Elsevier, vol. 26(1), pages 222-233, January.
    2. de Haan, Mark & Keuning, Steven J, 1996. "Taking the Environment into Account: The NAMEA Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 42(2), pages 131-148, June.
    3. Francesca D'Auria & Andrea Pagano & Marco Ratto & Janos Varga, 2009. "A comparison of structural reform scenarios across the EU member states - Simulation-based analysis using the QUEST model with endogenous growth," European Economy - Economic Papers 2008 - 2015 392, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
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    Citations

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    Cited by:

    1. Alexandr Hobza & Gilles Mourre, 2010. "Quantifying the potential macroeconomic effects of the Europe 2020 strategy: stylised scenarios," European Economy - Economic Papers 2008 - 2015 424, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. S. Scrieciu & Valerie Belton & Zaid Chalabi & Reinhard Mechler & Daniel Puig, 2014. "Advancing methodological thinking and practice for development-compatible climate policy planning," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 19(3), pages 261-288, March.
    3. Fabio Di Dio & Barbara Annicchiarico & Francesco Felici, 2011. "The macroeconomics of Europe 2020 reform strategy and the potential effects on Italian economy," EcoMod2011 2866, EcoMod.
    4. Barbara Annicchiarico & Francesca Diluiso, 2017. "International Transmission of the Business Cycle and Environmental Policy," CEIS Research Paper 423, Tor Vergata University, CEIS, revised 19 Dec 2017.
    5. European Commission, 2011. "Tax Reforms in EU Member States 2011: tax policy challenges for economic growth and fiscal sustainability," Taxation Papers 28, Directorate General Taxation and Customs Union, European Commission.
    6. A. Bruggeman, 2011. "The economic impact of the fight against climate change," Economic Review, National Bank of Belgium, issue ii, pages 59-76, September.
    7. Annicchiarico, Barbara & Di Dio, Fabio & Felici, Francesco, 2013. "Structural reforms and the potential effects on the Italian economy," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 88-109.
    8. Argentino Pessoa, 2005. "“Ideas” driven growth: the OECD evidence," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 4(1), pages 46-67, April.
    9. FRANCESCO FELICI & Barbara Annicchiarico & Fabio Di Dio, 2012. "Structural Reforms and the Potential Effects on the Italian Economy," EcoMod2012 5073, EcoMod.
    10. Annicchiarico, Barbara & Battles, Susan & Di Dio, Fabio & Molina, Pierfrancesco & Zoppoli, Pietro, 2017. "GHG mitigation schemes and energy policies: A model-based assessment for the Italian economy," Economic Modelling, Elsevier, vol. 61(C), pages 495-509.
    11. Barbara Annicchiarico & Susan Battles & Fabio Di Dio & Pierfrancesco Molina & Pietro Zoppoli, 2016. "GEEM: a policy model for assessing climate-energy reforms in Italy," Working Papers 3, Department of the Treasury, Ministry of the Economy and of Finance.

    More about this item

    Keywords

    Carbon revenue recycling; climate change; directed technical change; double dividend; dynamic general equilibrium model; endogenous growth; R&D;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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