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ICT Diffusion, R&D Intensity, and Economic Growth: a Dynamic Panel Data Approach

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  • Bahar Bayraktar Sağlam

    (Hacettepe University)

Abstract

Using panel data of 34 Organization for Economic Co-operation and Development (OECD) countries from 1990 to 2012, this article investigates the intricate link among ICT diffusion, R&D intensity, and economic growth by employing Panel VAR techniques. The novelty of this paper is to identify the causality channels among R&D, ICTs, and economic growth. Econometric evidence yields that bi-directional causality takes place between ICTs and economic growth. While ICT diffusion leads to a rise in the share of R&D personnel in total employment, it has no causal impact on the share of income devoted to R&D. In this context, empirical results offer that OECD countries need to support the development of ICTs not only to foster economic growth but also to enhance the R&D sector.

Suggested Citation

  • Bahar Bayraktar Sağlam, 2018. "ICT Diffusion, R&D Intensity, and Economic Growth: a Dynamic Panel Data Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(2), pages 636-648, June.
    • Handle: RePEc:spr:jknowl:v:9:y:2018:i:2:d:10.1007_s13132-016-0353-0
    DOI: 10.1007/s13132-016-0353-0
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    References listed on IDEAS

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    1. Lars-Hendrik Roller & Leonard Waverman, 2001. "Telecommunications Infrastructure and Economic Development: A Simultaneous Approach," American Economic Review, American Economic Association, vol. 91(4), pages 909-923, September.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Bronwyn Hall & Francesca Lotti & Jacques Mairesse, 2009. "Innovation and productivity in SMEs: empirical evidence for Italy," Small Business Economics, Springer, vol. 33(1), pages 13-33, June.
    5. Moncada-Paternò-Castello, Pietro & Ciupagea, Constantin & Smith, Keith & Tübke, Alexander & Tubbs, Mike, 2010. "Does Europe perform too little corporate R&D? A comparison of EU and non-EU corporate R&D performance," Research Policy, Elsevier, vol. 39(4), pages 523-536, May.
    6. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    7. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. P. Guerrieri & M. Luciani & V. Meliciani, 2011. "The determinants of investment in information and communication technologies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(4), pages 387-403.
    10. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    11. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    12. Cequera, Daniel & Klein, Gordon J., 2008. "Endogenous Firm Heterogeneity, ICT and R&D Incentives," ZEW Discussion Papers 08-126, ZEW - Leibniz Centre for European Economic Research.
    13. Madden, Gary & Savage, Scott J., 1998. "CEE telecommunications investment and economic growth," Information Economics and Policy, Elsevier, vol. 10(2), pages 173-195, June.
    14. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.
    15. Polder, Michael & Leeuwen, George van & Mohnen, Pierre & Raymond, Wladimir, 2009. "Productivity effects of innovation modes," MPRA Paper 18893, University Library of Munich, Germany.
    16. Rudra P. Pradhan & Samadhan Bele & Shashikant Pandey, 2013. "Internet-growth nexus: evidence from cross-country panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(16), pages 1511-1515, November.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    Economic growth; Information and communication technologies; R&D; Dynamic panel data;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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