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A Conceptual Framework to Model Long-run Qualitative Change in the Energy System

In: Evolution and Economic Complexity

Author

Listed:
  • Andreas Pyka
  • Bernd Ebersberger
  • Horst Hanusch

Abstract

Dedicated to the goal of furthering evolutionary economic analysis, this book provides a coherent scientific approach to deal with the real world of continual change in the economic system. Expansive in its scope, this book ranges from abstract discussions of ontology, analysis and theory to more practical discussions on how we can operationalize notions such as ‘capabilities' from what we understand as ‘knowledge'. Simulation techniques and empirical case studies are also used.

Suggested Citation

  • Andreas Pyka & Bernd Ebersberger & Horst Hanusch, 2004. "A Conceptual Framework to Model Long-run Qualitative Change in the Energy System," Chapters, in: J. Stanley Metcalfe & John Foster (ed.), Evolution and Economic Complexity, chapter 9, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:3216_9
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    References listed on IDEAS

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    1. John B. Davis & D. W. Hands & Uskali Mäki (ed.), 1998. "The Handbook of Economic Methodology," Books, Edward Elgar Publishing, number 741, March.
    2. John A. Mathews, 2001. "Competitive Interfirm Dynamics within an Industrial Market System," DRUID Working Papers 01-01, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    3. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    4. Cantner, Uwe & Pyka, Andreas, 1998. "Technological evolution -- an analysis within the knowledge-based approach," Structural Change and Economic Dynamics, Elsevier, vol. 9(1), pages 85-107, March.
    5. Eliasson, Gunnar, 1991. "Modeling the experimentally organized economy : Complex dynamics in an empirical micro-macro model of endogenous economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 16(1-2), pages 153-182, July.
    6. Thomas Brenner, 1999. "Modelling Learning in Economics," Books, Edward Elgar Publishing, number 1815, March.
    7. Pier P. Saviotti, 1996. "Technological Evolution, Variety and the Economy," Books, Edward Elgar Publishing, number 727, March.
    8. Boulding, K E, 1991. "What Is Evolutionary Economics?," Journal of Evolutionary Economics, Springer, vol. 1(1), pages 9-17, January.
    9. Giovanni Dosi & Christopher Freeman & Richard Nelson & Gerarld Silverberg & Luc Soete (ed.), 1988. "Technical Change and Economic Theory," LEM Book Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number dosietal-1988, November.
    10. Nooteboom, Bart, 1986. "Plausibility in Economics," Economics and Philosophy, Cambridge University Press, vol. 2(2), pages 197-224, October.
    11. John Mathews, 2001. "Competitive Interfirm Dynamics Within An Industrial Market System," Industry and Innovation, Taylor & Francis Journals, vol. 8(1), pages 79-107.
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    More about this item

    Keywords

    Economics and Finance;

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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