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A Spatial Knowledge Production Function Approach for the Regions of the Russian Federation

Author

Listed:
  • Jens K. Perret

    () (Europäisches Institut für Internationale Wirtschaftsbeziehungen (EIIW))

Abstract

At the core of every national innovation system two concepts are of central importance: The generation and the diffusion of innovations and ergo knowledge; on the one hand inside the system itself and on the other across the system's borders. The present study picks up on the aspect of knowledge generation in the context of the Russian Federation. An extended knowledge production function is estimated on the basis of Russian regional data and it is shown that the Russian NIS, nationally as well as internationally, is functional, however, not all channels of knowledge transfer work as efficiently as those in comparable Western European countries.

Suggested Citation

  • Jens K. Perret, 2016. "A Spatial Knowledge Production Function Approach for the Regions of the Russian Federation," EIIW Discussion paper disbei217, Universitätsbibliothek Wuppertal, University Library.
  • Handle: RePEc:bwu:eiiwdp:disbei217
    as

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    References listed on IDEAS

    as
    1. Jakob Madsen, 2008. "Semi-endogenous versus Schumpeterian growth models: testing the knowledge production function using international data," Journal of Economic Growth, Springer, vol. 13(1), pages 1-26, March.
    2. Cohen, Wesley M & Levin, Richard C & Mowery, David C, 1987. "Firm Size and R&D Intensity: A Re-examination," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 543-565, June.
    3. Daria Podmetina & Juha Vaatanen & Marko T. Torkkeli & Maria M. Smirnova, 2011. "Open innovation in Russian firms: an empirical investigation of technology commercialisation and acquisition," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 5(3), pages 298-317.
    4. Simon Johnson & Daniel Kaufman & Andrei Shleifer, 1997. "The Unofficial Economy in Transition," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(2), pages 159-240.
    5. Pardey, Philip G, 1989. "The Agricultural Knowledge Production Function: An Empirical Look," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 453-461, August.
    6. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    7. Armando Silva & Ana Paula Africano & Óscar Afonso, 2010. "Learning-by-exporting: what we know and what we would like to know," FEP Working Papers 364, Universidade do Porto, Faculdade de Economia do Porto.
    8. Roderik Ponds & Frank van Oort & Koen Frenken, 2010. "Innovation, spillovers and university--industry collaboration: an extended knowledge production function approach," Journal of Economic Geography, Oxford University Press, vol. 10(2), pages 231-255, March.
    9. Michael Fritsch, 2002. "Measuring the Quality of Regional Innovation Systems: A Knowledge Production Function Approach," International Regional Science Review, , vol. 25(1), pages 86-101, January.
    10. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    11. Carlos A Leite & Jens Weidmann, 1999. "Does Mother Nature Corrupt? Natural Resources, Corruption, and Economic Growth," IMF Working Papers 99/85, International Monetary Fund.
    12. Michael Fritsch & Viktor Slavtchev, 2007. "Universities and Innovation in Space," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 201-218.
    13. Eilat, Yair & Zinnes, Clifford, 2002. "The Shadow Economy in Transition Countries: Friend or Foe? A Policy Perspective," World Development, Elsevier, vol. 30(7), pages 1233-1254, July.
    14. Manfred M. Fischer & Attila Varga, 2003. "Spatial knowledge spillovers and university research: Evidence from Austria," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(2), pages 303-322, May.
    15. Branstetter, Lee G., 2001. "Are knowledge spillovers international or intranational in scope?: Microeconometric evidence from the U.S. and Japan," Journal of International Economics, Elsevier, vol. 53(1), pages 53-79, February.
    16. Liana Marina Ranga & Koenraad Debackere & Nick von Tunzelmann, 2003. "Entrepreneurial universities and the dynamics of academic knowledge production: A case study of basic vs. applied research in Belgium," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 301-320, October.
    17. Jaan Masso & Priit Vahter, 2008. "Technological innovation and productivity in late-transition Estonia: econometric evidence from innovation surveys," The European Journal of Development Research, Taylor and Francis Journals, vol. 20(2), pages 240-261.
    18. Conte, Andrea & Vivarelli, Marco, 2005. "One or Many Knowledge Production Functions? Mapping Innovative Activity Using Microdata," IZA Discussion Papers 1878, Institute of Labor Economics (IZA).
    19. Ramani, Shyama V. & El-Aroui, Mhamed-Ali & Carrère, Myriam, 2008. "On estimating a knowledge production function at the firm and sector level using patent statistics," Research Policy, Elsevier, vol. 37(9), pages 1568-1578, October.
    20. Buesa, Mikel & Heijs, Joost & Baumert, Thomas, 2010. "The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach," Research Policy, Elsevier, vol. 39(6), pages 722-735, July.
    21. Shyama Ramani & Mhamed-Ali El-Aroui & Myriam Carrère, 2008. "On estimating a knowledge production function at the firm and sectoral level using patent statistics," Post-Print hal-00365396, HAL.
    22. repec:hrv:faseco:30728045 is not listed on IDEAS
    23. Breandán Ó hUallacháin & Timothy F. Leslie, 2007. "Rethinking the regional knowledge production function," Journal of Economic Geography, Oxford University Press, vol. 7(6), pages 737-752, November.
    24. Jeffry M. Netter & William L. Megginson, 2001. "From State to Market: A Survey of Empirical Studies on Privatization," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 321-389, June.
    25. Wesley M. Cohen & Richard C. Levin & David C. Mowery, 1987. "Firm Size and R&D Intensity: A Re-Examination," NBER Working Papers 2205, National Bureau of Economic Research, Inc.
    26. Michael Alexeev & William Pyle, 2003. "A note on measuring the unofficial economy in the former Soviet Republics -super-1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(1), pages 153-175, March.
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    More about this item

    Keywords

    Knowledge Production Function; Russian Federation; National Innovation System; Panel Econometrics; Regional Economics; Patent Data;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • P25 - Economic Systems - - Socialist Systems and Transition Economies - - - Urban, Rural, and Regional Economics

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