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Qu’en est-il des externalités du capital des technologies de l’information?

Listed author(s):
  • Harchaoui, Tarek M.

    (Division de l’analyse microéconomique)

  • Tarkhani, Faouzi

    (Division de l’analyse microéconomique)

We apply econometric techniques to Canadian and U.S. industry data to ascertain whether information technology capital gives rise to externalities. The results based on standard panel data techniques are compared to those that accommodate heterogeneous and dynamic panel data. Much like the literature, our results indicate the standard panel data method does not show a positive relationship between information technology capital and output. This reflects the difficulty of this technique to accommodate the heterogeneous and dynamic nature of the data considered in this study. In contrast, the dynamic panel data method shows a positive long term impact of inputs. Our results suggest the presence of important externalities ascribed to information technology in the United States, reflecting the leadership of this country in this area. In contrast, in Canada, the elasticity of information technology capital services is close to the share of this input provided by the growth accounting framework. In addition, the parametric results generally support the constant returns to scale hypothesis for Canada at the aggregate level, thereby making sense of the growth accounting framework. Nous appliquons des techniques économétriques aux données par industrie des économies canadiennes et américaines pour examiner s’il existe des externalités associées à la composante technologies de l’information de l’intrant capital. Les résultats issus de la technique conventionnelle de données en panel sont comparés à ceux issus de la méthode d’estimation des données en panel hétérogènes et dynamiques. Comme pour les résultats de la littérature économique, nous trouvons que la méthode conventionnelle des données en panel ne permet pas de montrer un lien positif entre l’intrant capital des technologies de l’information et la production. Ceci traduit l’incapacité de cette technique à rendre compte, à la fois, du caractère hétérogène des données et de l’aspect dynamique du phénomène considéré ici. La méthode dynamique des données en panel permet, en revanche, de trouver un impact positif et significatif de long terme des intrants. Les résultats confirment la présence d’importantes externalités associées aux technologies de l’information pour les États-Unis, reflétant ainsi le rôle de chef de file de ce pays dans ce domaine. Au Canada, en revanche, l’élasticité associée au capital des technologies de l’information est proche de la pondération issue du cadre de la comptabilité de la croissance. De plus, les résultats paramétriques ne permettent pas, dans l’ensemble, de rejeter l’hypothèse de rendements constants au niveau agrégé pour le Canada, justifiant ainsi le bien-fondé du modèle de comptabilité de la croissance.

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Article provided by Société Canadienne de Science Economique in its journal L'Actualité économique.

Volume (Year): 81 (2005)
Issue (Month): 1 (Mars-Juin)
Pages: 231-253

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Handle: RePEc:ris:actuec:v:81:y:2005:i:1:p:231-253
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  1. Sandra E. Black & Lisa M. Lynch, 2004. "What's driving the new economy?: the benefits of workplace innovation," Economic Journal, Royal Economic Society, vol. 114(493), pages 97-116, 02.
  2. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
  3. Baldwin, John R. & Sabourin, David & Smith, David, 2003. "Impact of Advanced Technology Use on Firm Performance in the Canadian Food Processing Sector," Economic Analysis (EA) Research Paper Series 2003012e, Statistics Canada, Analytical Studies Branch.
  4. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
  5. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: U.S. Economic Growth in the Information Age," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
  6. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
  7. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
  8. Oliner, Stephen D. & Sichel, Daniel E., 2003. "Information technology and productivity: where are we now and where are we going?," Journal of Policy Modeling, Elsevier, vol. 25(5), pages 477-503, July.
  9. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  10. Tarek M. Harchaoui & Faouzi Tarkhani, 2006. "Whatever happened to Canada-US economic growth and productivity performance in the information age?," OECD Economic Studies, OECD Publishing, vol. 2005(1), pages 127-165.
  11. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
  12. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
  13. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  14. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2005. "Growth of U.S. Industries and Investments in Information Technology and Higher Education," NBER Chapters,in: Measuring Capital in the New Economy, pages 403-478 National Bureau of Economic Research, Inc.
  15. Banerjee, Anindya, 1999. " Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 607-629, Special I.
  16. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
  17. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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