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Energy Biased Technical Change: A CGE Analysis

Author

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  • Vincent M. Otto

    (Wageningen University)

  • Andreas Löschel

    (Centre for European Economic Research (ZEW))

  • Rob Dellink

    (Wageningen University)

Abstract

This paper studies energy bias in technical change. For this purpose, we develop a computable general equilibrium model that builds on endogenous growth models. The model explicitly captures links between energy, the rate and direction of technical change, and the economy. We derive the equilibrium determinants of biased technical change and show the importance of feedback in technical change, substitution possibilities between final goods, and general-equilibrium effects for the equilibrium bias. If the feedback effect is strong, or the substitution elasticity large, or both, our model tends to a corner solution in which only technologies are developed that are appropriate for production of non-energy intensive goods.

Suggested Citation

  • Vincent M. Otto & Andreas Löschel & Rob Dellink, 2005. "Energy Biased Technical Change: A CGE Analysis," Working Papers 2005.90, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2005.90
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    References listed on IDEAS

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    Cited by:

    1. Jin, Wei, 2016. "International technology diffusion, multilateral R&D coordination, and global climate mitigation," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 357-372.
    2. repec:eee:resene:v:49:y:2017:i:c:p:201-217 is not listed on IDEAS
    3. Carraro, Carlo & De Cian, Enrica & Tavoni, Massimo, 2012. "Human Capital, Innovation, and Climate Policy: An Integrated Assessment," CEPR Discussion Papers 8919, C.E.P.R. Discussion Papers.
    4. Wei Jin, 2012. "Can Technological Innovation Help China Take on Its Climate Responsibility? A Computable General Equilibrium Analysis," CAMA Working Papers 2012-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Otto, Vincent M. & Löschel, Andreas, 2008. "Technological Uncertainty and Cost-effectiveness of CO2 Emission Trading Schemes," ZEW Discussion Papers 08-050, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    6. Otto, Vincent M. & Löschel, Andreas & Reilly, John, 2008. "Directed technical change and differentiation of climate policy," Energy Economics, Elsevier, vol. 30(6), pages 2855-2878, November.
    7. Brita Bye & Taran Fæhn & Tom-Reiel Heggedal, 2007. "Welfare and growth impacts of innovation policies in a small, open economy. An applied general equilibrium analysis," Discussion Papers 510, Statistics Norway, Research Department.
    8. Jin, Wei, 2012. "Can technological innovation help China take on its climate responsibility? An intertemporal general equilibrium analysis," Energy Policy, Elsevier, vol. 49(C), pages 629-641.
    9. Zha, Donglan & Kavuri, Anil Savio & Si, Songjian, 2017. "Energy biased technology change: Focused on Chinese energy-intensive industries," Applied Energy, Elsevier, pages 1081-1089.
    10. Karanfil, Fatih & Yeddir-Tamsamani, Yasser, 2010. "Is technological change biased toward energy? A multi-sectoral analysis for the French economy," Energy Policy, Elsevier, vol. 38(4), pages 1842-1850, April.
    11. Antoine Dechezlepretre, Ralf Martin, Myra Mohnen, 2017. "Knowledge Spillovers from clean and dirty technologies," GRI Working Papers 135, Grantham Research Institute on Climate Change and the Environment.
    12. Löschel, Andreas & Otto, Vincent M., 2009. "Technological uncertainty and cost effectiveness of CO2 emission reduction," Energy Economics, Elsevier, vol. 31(Supplemen), pages 4-17.
    13. Bye, Brita & Jacobsen, Karl, 2011. "Restricted carbon emissions and directed R&D support; an applied general equilibrium analysis," Energy Economics, Elsevier, vol. 33(3), pages 543-555, May.
    14. Hübler, Michael & Baumstark, Lavinia & Leimbach, Marian & Edenhofer, Ottmar & Bauer, Nico, 2012. "An integrated assessment model with endogenous growth," Ecological Economics, Elsevier, vol. 83(C), pages 118-131.
    15. repec:gam:jsusta:v:10:y:2018:i:1:p:259-:d:127813 is not listed on IDEAS
    16. Bye, Brita & Fæhn, Taran & Heggedal, Tom-Reiel, 2009. "Welfare and growth impacts of innovation policies in a small, open economy; an applied general equilibrium analysis," Economic Modelling, Elsevier, vol. 26(5), pages 1075-1088, September.
    17. Claudio Baccianti & Andreas Löschel, 2014. "The Role of Product and Process Innovation in CGE Models of Environmental Policy," WWWforEurope Working Papers series 68, WWWforEurope.
    18. Lucas Bretschger & Roger Ramer, 2012. "Sectoral Growth Effects of Energy Policies in an Increasing-Varieties Model of the Swiss Economy," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 137-166, June.
    19. Antoine Dechezleprêtre & Ralf Martin & Myra Mohnen, 2014. "Knowledge Spillovers from Clean and Dirty Technologies," CEP Discussion Papers dp1300, Centre for Economic Performance, LSE.
    20. Heggedal, Tom-Reiel & Jacobsen, Karl, 2011. "Timing of innovation policies when carbon emissions are restricted: An applied general equilibrium analysis," Resource and Energy Economics, Elsevier, vol. 33(4), pages 913-937.
    21. Bohringer, Christoph & Loschel, Andreas, 2006. "Computable general equilibrium models for sustainability impact assessment: Status quo and prospects," Ecological Economics, Elsevier, vol. 60(1), pages 49-64, November.

    More about this item

    Keywords

    Computable general-equilibrium models; Endogenous technical change; Energy; Environment;

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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