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Optimal Controls in Models of Economic Growth and the Environment

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Large-Scale Scientific Computing (LSSC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7116))

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Abstract

We investigate the impact of environmental quality standards on the accumulation of two types of capital (“brown” vs. “green”) and the corresponding R&D investments in an endogenous growth model. We show that environmental regulation as economic policy instrument rather represses economic growth in the long run but fosters green R&D and the accumulation of green capital in the short run. In addition we show that subsidies may support a shift to a greener production and can be used to counteract against repressed accumulation of green capital.

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References

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Author information

Authors and Affiliations

  1. Institute for Mathematical Methods in Economics (IWM), Vienna University of Technology (TU Wien), A-1040, Wien, Austria

    Elke Moser, Alexia Prskawetz & Gernot Tragler

  2. Vienna Institute of Demography (VID), Austrian Academy of Sciences (OeAW), A-1040, Wien, Austria

    Elke Moser & Alexia Prskawetz

Authors
  1. Elke Moser
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  2. Alexia Prskawetz
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  3. Gernot Tragler
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Editor information

Editors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev, Block 25A, 1113, Sofia, Bulgaria

    Ivan Lirkov  & Svetozar Margenov  & 

  2. Department of Informatics and Mathematical Modelling, Technical University of Denmark, Richard Petersens Plads, Building 321,, 2800, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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© 2012 Springer-Verlag Berlin Heidelberg

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Moser, E., Prskawetz, A., Tragler, G. (2012). Optimal Controls in Models of Economic Growth and the Environment. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2011. Lecture Notes in Computer Science, vol 7116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29843-1_15

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  • DOI: https://doi.org/10.1007/978-3-642-29843-1_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29842-4

  • Online ISBN: 978-3-642-29843-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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