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Transition to Clean Technology

Author

Listed:
  • Douglas Hanley
  • Daron Acemoglu
  • Ufuk Akcigit
  • William Kerr
Abstract
We develop a microeconomic model of endogenous growth where clean and dirty technologies compete in production and innovation-in the sense that research can be directed to either clean or dirty technologies. If dirty technologies are more advanced to start with, the potential transition to clean technology can be difficult both because clean research must climb several steps to catch up with dirty technology and because this gap discourages research effort directed towards clean technologies. Carbon taxes and research subsidies may nonetheless encourage production and innovation in clean technologies, though the transition will typically be slow. We characterize certain general properties of the transition path from dirty to clean technology. We then estimate the model using a combination of regression analysis on the relationship between R&D and patents, and simulated method of moments using microdata on employment, production, R&D, firm growth, entry and exit from the US energy sector. The model`s quantitative implications match a range of moments not targeted in the estimation quite well. We then characterize the optimal policy path implied by the model and our estimates. Optimal policy heavily relies on research subsidies as well as carbon taxes. We use the model to evaluate the welfare consequences of a range of alternative policy structures. For example, just relying on carbon taxes or delaying intervention both have significant welfare costs--though their implications for medium run temperature increases are quite different.

Suggested Citation

  • Douglas Hanley & Daron Acemoglu & Ufuk Akcigit & William Kerr, 2014. "Transition to Clean Technology," Working Paper 534, Department of Economics, University of Pittsburgh, revised Jan 2014.
  • Handle: RePEc:pit:wpaper:534
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    References listed on IDEAS

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    Cited by:

    1. Jean-François Ouvrard, 2015. "L'analyse macroéconomique de la transition énergétique : difficile mais indispensable," Revue d'économie financière, Association d'économie financière, vol. 0(1), pages 63-73.
    2. Jan Witajewski-Baltvilks & Elena Verdolini & Massimo Tavoni, 2015. "Directed Technological Change and Energy Efficiency Improvements," Working Papers 2015.78, Fondazione Eni Enrico Mattei.
    3. Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2017. "Induced technological change and energy efficiency improvements," Energy Economics, Elsevier, vol. 68(S1), pages 17-32.
    4. Girol Karacaoglu, 2015. "The New Zealand Treasury's Living Standards Framework - Exploring a Stylised Model," Treasury Working Paper Series 15/12, New Zealand Treasury.
    5. Christian Ketels, 2015. "Competitiveness and Clusters: Implications for a New European Growth Strategy. WWWforEurope Working Paper No. 84," WIFO Studies, WIFO, number 57892.
    6. Chiara Ravetti & Tania Theoduloz & Giulia Valacchi, 2020. "Buy Coal or Kick-Start Green Innovation? Energy Policies in an Open Economy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(1), pages 95-126, September.
    7. Doorasamy Mishelle, 2016. "The Perceptions of Management on the Benefits of Adopting an Environmental Management Accounting System as a Waste Management Tool," Foundations of Management, Sciendo, vol. 8(1), pages 93-106, January.
    8. Shaker, Saber Adly, 2019. "Can Clean Technology Exports Affect CO2 Emissions for Partners? Evidence from China," MPRA Paper 96867, University Library of Munich, Germany.
    9. Antoine Dechezleprêtre & David Popp, 2015. "Fiscal and Regulatory Instruments for Clean Technology Development in the European Union," CESifo Working Paper Series 5361, CESifo.
    10. Chegut, Andrea & Eichholtz, Piet & Kok, Nils, 2019. "The price of innovation: An analysis of the marginal cost of green buildings," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    11. Jan Witajewski-Baltvilks, 2018. "Green Growth and Taste Heterogeneity," IBS Working Papers 07/2018, Instytut Badan Strukturalnych.
    12. Salome Baslandze, 2015. "The Role of the IT Revolution in Knowledge Diffusion, Innovation and Reallocation," 2015 Meeting Papers 1488, Society for Economic Dynamics.
    13. Salome Baslandze, 2016. "The Role of the IT Revolution in Knowledge Di ffusion, Innovation and Reallocation," 2016 Meeting Papers 1509, Society for Economic Dynamics.
    14. Schmalensee, Richard, 2015. "The future of solar energy: A personal assessment," Energy Economics, Elsevier, vol. 52(S1), pages 142-148.
    15. Prudence Dato, 2017. "Energy Transition Under Irreversibility: A Two-Sector Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 797-820, November.
    16. Lu, Hongyou & Xu, Wenli & Xu, Kun, 2016. "How to Make The Fiscal policies Greener in China?——Based on The Perspective of Environmental Macroeconomics," MPRA Paper 70221, University Library of Munich, Germany.
    17. Antosiewicz, Marek & Witajewski-Baltvilks, Jan, 2021. "Short- and long-run dynamics of energy demand," Energy Economics, Elsevier, vol. 103(C).
    18. Noailly, Joëlle & Smeets, Roger, 2015. "Directing technical change from fossil-fuel to renewable energy innovation: An application using firm-level patent data," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 15-37.
    19. Song, Malin & Wang, Shuhong, 2016. "Can employment structure promote environment-biased technical progress?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 285-292.
    20. Lööf, Hans & Martinsson, Gustav & Mohammadi, Ali, 2017. "Finance and Innovative Investment in Environmental Technology: The Case of Sweden," Working Paper Series in Economics and Institutions of Innovation 445, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    21. Cumming, Douglas & Henriques, Irene & Sadorsky, Perry, 2016. "‘Cleantech’ venture capital around the world," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 86-97.
    22. Shengzhong Zhang & Yingmin Yu & Qihong Zhu & Chun Martin Qiu & Aixuan Tian, 2020. "Green Innovation Mode under Carbon Tax and Innovation Subsidy: An Evolutionary Game Analysis for Portfolio Policies," Sustainability, MDPI, vol. 12(4), pages 1-22, February.

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    More about this item

    Keywords

    carbon cycle; directed technological change; environment; innovation; optimal policy;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

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