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Technological progress and economic growth: evidence from Poland

Author

Listed:
  • Gurgul, Henryk
  • Lach, Łukasz

Abstract

In this paper the results of testing the causal interdependence between technological progress and GDP in Poland are presented. The results obtained for quarterly data from the period Q1 2000 – Q4 2009 indicate causality running from technological progress to GDP in Poland. In addition, causality from number of patents to employment and from employment to R&D outlays is found, which indicates causality from patents to R&D expenditure. The robustness of these results is also approved. The empirical findings of this paper imply some policy recommendations. Polish government and private firms should definitely increase investment in developing new technologies.

Suggested Citation

  • Gurgul, Henryk & Lach, Łukasz, 2012. "Technological progress and economic growth: evidence from Poland," MPRA Paper 52279, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:52279
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    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Martin Falk, 2006. "What drives business Research and Development (R&D) intensity across Organisation for Economic Co-operation and Development (OECD) countries?," Applied Economics, Taylor & Francis Journals, vol. 38(5), pages 533-547.
    3. Fagerberg, Jan, 2000. "Technological progress, structural change and productivity growth: a comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 393-411, December.
    4. Goel, Rajeev K. & Payne, James E. & Ram, Rati, 2008. "R&D expenditures and U.S. economic growth: A disaggregated approach," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 237-250.
    5. repec:fth:harver:1473 is not listed on IDEAS
    6. 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.
    7. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
    8. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    9. Madden, Gary & Savage, Scott J., 2000. "R&D spillovers, information technology and telecommunications, and productivity in ASIA and the OECD," Information Economics and Policy, Elsevier, vol. 12(4), pages 367-392, December.
    10. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    11. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
    12. Mulas-Granados, Carlos & Sanz, Ismael, 2008. "The dispersion of technology and income in Europe: Evolution and mutual relationship across regions," Research Policy, Elsevier, vol. 37(5), pages 836-848, June.
    13. Jalles, João Tovar, 2010. "How to measure innovation? New evidence of the technology-growth linkage," Research in Economics, Elsevier, vol. 64(2), pages 81-96, June.
    14. R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
    15. Bernstein, Jeffrey I & Nadiri, M Ishaq, 1988. "Interindustry R&D Spillovers, Rates of Return, and Production in High-Tech Industries," American Economic Review, American Economic Association, vol. 78(2), pages 429-434, May.
    16. 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.
    17. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    18. Pavitt, Keith, 1998. "The inevitable limits of EU R&D funding," Research Policy, Elsevier, vol. 27(6), pages 559-568, September.
    19. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    20. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, January.
    21. Griliches, Zvi & Regev, Haim, 1995. "Firm productivity in Israeli industry 1979-1988," Journal of Econometrics, Elsevier, vol. 65(1), pages 175-203, January.
    22. Gurgul, Henryk & Lach, Łukasz, 2010. "The causal link between Polish stock market and key macroeconomic aggregates," MPRA Paper 52250, University Library of Munich, Germany.
    23. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    More about this item

    Keywords

    Patents; R&D sector; economic growth; Granger causality;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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