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Knowledge, complexity and networks

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  • Pier Paolo Saviotti

    (GAEL - Laboratoire d'Economie Appliquée = Grenoble Applied Economics Laboratory - UPMF - Université Pierre Mendès France - Grenoble 2 - INRA - Institut National de la Recherche Agronomique)

Abstract

This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyse the causes and effects of technological and structural change. It grafts the intuitions of the economics of complexity into the tradition of analysis based upon the Schumpeterian and Marshallian legacies.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Pier Paolo Saviotti, 2011. "Knowledge, complexity and networks," Post-Print hal-02807155, HAL.
    • Handle: RePEc:hal:journl:hal-02807155
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    References listed on IDEAS

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    1. Pier Paolo Saviotti, 2011. "Knowledge, Complexity and Networks," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 6, Edward Elgar Publishing.
    2. By Michael Funke & Ralf Ruhwedel, 2001. "Product Variety and Economic Growth: Empirical Evidence for the OECD Countries," IMF Staff Papers, Palgrave Macmillan, vol. 48(2), pages 1-1.
    3. Jackie Krafft & Francesco Quatraro & Pier-Paolo Saviotti, 2008. "Evolution of the knowledge base in knowledge intensive sectors," Working Papers hal-00264261, HAL.
    4. Funke, Michael & Ruhwedel, Ralf, 2001. "Export variety and export performance: empirical evidence from East Asia," Journal of Asian Economics, Elsevier, vol. 12(4), pages 493-505.
    5. Cristiano Antonelli (ed.), 2011. "Handbook on the Economic Complexity of Technological Change," Books, Edward Elgar Publishing, number 13391.
    6. Horst Hanusch & Andreas Pyka (ed.), 2007. "Elgar Companion to Neo-Schumpeterian Economics," Books, Edward Elgar Publishing, number 2973.
    7. Koen Frenken & Frank Van Oort & Thijs Verburg, 2007. "Related Variety, Unrelated Variety and Regional Economic Growth," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 685-697.
    8. Nightingale, Paul, 1998. "A cognitive model of innovation," Research Policy, Elsevier, vol. 27(7), pages 689-709, November.
    9. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    10. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    11. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    12. Atkinson, Anthony B & Stiglitz, Joseph E, 1969. "A New View of Technological Change," Economic Journal, Royal Economic Society, vol. 79(315), pages 573-578, September.
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    Citations

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    Cited by:

    1. Ali Maleki & Alessandro Rosiello, 2014. "Which countries benefit most from emerging technological opportunities?," ERSA conference papers ersa14p1118, European Regional Science Association.
    2. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2021. "It’s a Match! Simulating Compatibility-based Learning in a Network of Networks," Economic Complexity and Evolution, in: Michael P. Schlaile (ed.), Memetics and Evolutionary Economics, chapter 0, pages 99-140, Springer.
    3. Maleki, Ali & Rosiello, Alessandro, 2019. "Does knowledge base complexity affect spatial patterns of innovation? An empirical analysis in the upstream petroleum industry," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 273-288.
    4. Pier Paolo Saviotti, 2011. "Knowledge, Complexity and Networks," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 6, Edward Elgar Publishing.
    5. Rosiello, Alessandro & Maleki, Ali, 2021. "A dynamic multi-sector analysis of technological catch-up: The impact of technology cycle times, knowledge base complexity and variety," Research Policy, Elsevier, vol. 50(3).

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