IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v9y2018i2d10.1007_s13132-016-0353-0.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-016-0353-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13132-016-0353-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    13. 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.
    14. Madden, Gary & Savage, Scott J., 1998. "CEE telecommunications investment and economic growth," Information Economics and Policy, Elsevier, vol. 10(2), pages 173-195, June.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Briglauer, Wolfgang, 2014. "The impact of regulation and competition on the migration from old to new communications infrastructure: Recent evidence from EU27 member states," ZEW Discussion Papers 14-085, ZEW - Leibniz Centre for European Economic Research.
    2. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    3. Dong, Xiao-yuan & Pandey, Manish, 2012. "Gender and labor retrenchment in Chinese state owned enterprises: Investigation using firm-level panel data," China Economic Review, Elsevier, vol. 23(2), pages 385-395.
    4. Baiardi, Donatella & Bianchi, Carluccio & Lorenzini, Eleonora, 2015. "The price and income elasticities of the top clothing exporters: Evidence from a panel data analysis," Journal of Asian Economics, Elsevier, vol. 38(C), pages 14-30.
    5. Tsun Se Cheong & Yanrui Wu, 2013. "Globalization and Regional Inequality," Economics Discussion / Working Papers 13-10, The University of Western Australia, Department of Economics.
    6. Scott, K. Rebecca, 2011. "Demand and Price Volatility: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2q87432b, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Vu, Khuong M & Asongu, Simplice, 2020. "Backwardness advantage and economic growth in the information age: A cross-country empirical study," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    8. Mohcine Bakhat & José M. Labeaga & Xavier Labandeira & Xiral Lñpez, 2013. "Economic Crisis and Elasticities of Car Fuels: Evidence for Spain," Working Papers fa15-2013, Economics for Energy.
    9. Abdilahi Ali & Katsushi S. Imai, 2015. "Editor's choice Crises, Economic Integration and Growth Collapses in African Countries," Journal of African Economies, Centre for the Study of African Economies, vol. 24(4), pages 471-501.
    10. Coletta Frenzel Baudisch, 2018. "Sectoral FDI and the Real Exchange Rate: The Role of Financial Development," MAGKS Papers on Economics 201828, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2013. "The Clothing Export Performance and Prospects for Advanced and Emerging Economies: Evidence from a Panel Data Analysis (new version)," DEM Working Papers Series 040, University of Pavia, Department of Economics and Management.
    12. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    13. Piper, Alan, 2013. "A Note on Modelling Dynamics in Happiness Estimations," MPRA Paper 49364, University Library of Munich, Germany.
    14. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2013. "The Clothing Export Performance and Prospects for Advanced and Emerging Economies: Evidence from a Panel Data Analysis," DEM Working Papers Series 038, University of Pavia, Department of Economics and Management.
    15. Vu, K.M., 2017. "Structural change and economic growth: Empirical evidence and policy insights from Asian economies," Structural Change and Economic Dynamics, Elsevier, vol. 41(C), pages 64-77.
    16. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    17. Donatella Baiardi & Carluccio Bianchi & Eleonora Lorenzini, 2014. "The price and income elasticities of the top clothing exporters: Evidence from a panel data analysis," DEM Working Papers Series 074, University of Pavia, Department of Economics and Management.
    18. Boubakri, Narjess & Cosset, Jean-Claude & Debab, Nassima & Valéry, Pascale, 2013. "Privatization and globalization: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 1898-1914.
    19. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    20. Jing Li & Tsun Se Cheong & Jianfa Shen & Dahai Fu, 2019. "Urbanization And Rural–Urban Consumption Disparity: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 983-996, September.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jknowl:v:9:y:2018:i:2:d:10.1007_s13132-016-0353-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.