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Information and Communication Technologies in a Multi-Sector Endogenous Growth Model

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  • Evangelia Vourvachaki

    (London School of Economics)

Abstract

This paper investigates the impact of Information and Communication Technologies (ICT) on growth in an economy, consisting of three sectors, ICT-producing, ICT-using and non-ICT-using. The benefits from ICT come from the falling prices of the ICT-using sector's good, which is used for the production of intermediate goods. Their falling prices provide incentives for investment for sectors using them, so the non-ICT using sector experiences sustained growth driven by capital accumulation. Rates of growth across the three sectors differ, but the aggregate economy is on a balanced growth path with constant labour shares across sectors. US evidence confirms the model's predictions.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Evangelia Vourvachaki, 2005. "Information and Communication Technologies in a Multi-Sector Endogenous Growth Model," Money Macro and Finance (MMF) Research Group Conference 2005 10, Money Macro and Finance Research Group.
    • Handle: RePEc:mmf:mmfc05:10
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    References listed on IDEAS

    as
    1. Susanto Basu & John G. Fernald & Nicholas Oulton & Sylaja Srinivasan, 2003. "The Case of the Missing Productivity Growth: Or, Does Information Technology Explain why Productivity Accelerated in the US but not the UK?," NBER Working Papers 10010, National Bureau of Economic Research, Inc.
    2. Carlin, Wendy & Mayer, Colin, 2003. "Finance, investment, and growth," Journal of Financial Economics, Elsevier, vol. 69(1), pages 191-226, July.
    3. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 2001. "Beyond Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 869-882.
    4. Paul A. David & Gavin Wright, "undated". "General Purpose Technologies and Surges in Productivity: Historical Reflections on the Future of the ICT Revolution," Working Papers 99026, Stanford University, Department of Economics.
    5. repec:dgr:rugggd:200368 is not listed on IDEAS
    6. Nicholas Economides, 1997. "The Economics of Networks," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 1(0), December.
    7. Quah, Danny, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEPR Discussion Papers 3207, C.E.P.R. Discussion Papers.
    8. Helpman, Elhanan & Trajtenberg, Manuel, 1994. "A Time to Sow and a Time to Reap: Growth Based on General Purpose Technologies," CEPR Discussion Papers 1080, C.E.P.R. Discussion Papers.
    9. Susanto Basu & John G. Fernald & Nicholas Oulton & Sylaja Srinivasan, 2004. "The Case of the Missing Productivity Growth, or Does Information Technology Explain Why Productivity Accelerated in the United States but Not in the United Kingdom?," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 9-82, National Bureau of Economic Research, Inc.
    10. Charles I. Jones, 2002. "Sources of U.S. Economic Growth in a World of Ideas," American Economic Review, American Economic Association, vol. 92(1), pages 220-239, March.
    11. Quah, Danny, 2002. "Technology dissemination and economic growth: some lessons for the new economy," LSE Research Online Documents on Economics 2118, London School of Economics and Political Science, LSE Library.
    12. L. Rachel Ngai & Christopher A. Pissarides, 2007. "Structural Change in a Multisector Model of Growth," American Economic Review, American Economic Association, vol. 97(1), pages 429-443, March.
    13. Casey B. Mulligan & Xavier Sala-i-Martin, 1993. "Transitional Dynamics in Two-Sector Models of Endogenous Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 739-773.
    14. Daron Acemoglu & Veronica Guerrieri, 2008. "Capital Deepening and Nonbalanced Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 467-498, June.
    15. Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-841, August.
    16. Whelan, Karl, 2003. "A Two-Sector Approach to Modeling U.S. NIPA Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 627-656, August.
    17. David, Paul A., 1989. "COMPUTER AND DYNAMO: The Modern Productivity Paradox in a Not-Too Distant Mirror," Economic Research Papers 268373, University of Warwick - Department of Economics.
    18. Vijselaar, Focco & Backé, Peter, 2002. "New technologies and productivity growth in the euro area," Working Paper Series 122, European Central Bank.
    19. Robert J. Gordon, 2002. "Technology and Economic Performance in the American Economy," NBER Working Papers 8771, National Bureau of Economic Research, Inc.
    20. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    21. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2005. "Growth of US 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.
    22. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Measuring Capital in the New Economy," NBER Books, National Bureau of Economic Research, Inc, number corr05-1.
    23. L. Ngai & Roberto Samaniego, 2009. "Mapping prices into productivity in multisector growth models," Journal of Economic Growth, Springer, vol. 14(3), pages 183-204, September.
    24. 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.
    25. Mr. Sergio Rebelo & Ms. Piyabha Kongsamut & Danyang Xie, 2001. "Beyond Balanced Growth," IMF Working Papers 2001/085, International Monetary Fund.
    26. Robert Inklaar & Mary O'Mahony & Marcel Timmer, 2005. "ICT AND EUROPE's PRODUCTIVITY PERFORMANCE: INDUSTRY‐LEVEL GROWTH ACCOUNT COMPARISONS WITH THE UNITED STATES," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 505-536, December.
    27. repec:adr:anecst:y:1998:i:49-50:p:02 is not listed on IDEAS
    28. Danny Quah, 2002. "Technology Dissemination and Economic Growth: Some Lessons for the New Economy," CEP Discussion Papers dp0522, Centre for Economic Performance, LSE.
    29. Philippe Aghion & Peter Howitt, 1999. "On the Macroeconomic Effects of Major Technological Change," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 25, pages 15-32.
    30. Elhanan Helpman & Manuel Trajtenberg, 1996. "Diffusion of General Purpose Technologies," NBER Working Papers 5773, National Bureau of Economic Research, Inc.
    31. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    32. 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.
    33. Piyabha Kongsamut & Sergio Rebelo & Danyang Xie, 2001. "Beyond Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 869-882.
    34. Attanasio, Orazio P & Weber, Guglielmo, 1989. "Intertemporal Substitution, Risk Aversion and the Euler Equation for Consumption," Economic Journal, Royal Economic Society, vol. 99(395), pages 59-73, Supplemen.
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    Cited by:

    1. Rachel Ngai & Roberto Samaniego, 2011. "Accounting for Research and Productivity Growth Across Industries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(3), pages 475-495, July.
    2. Borgersen, Trond-Arne & King, Roswitha M., 2014. "Structural origins of debt-sustainability in mature and transition economies: Domar, Balassa–Samuelson and Maastricht," Structural Change and Economic Dynamics, Elsevier, vol. 30(C), pages 101-119.
    3. Dale W. Jorgenson & Marcel P. Timmer, 2011. "Structural Change in Advanced Nations: A New Set of Stylised Facts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 113(1), pages 1-29, March.
    4. Md Shahiduzzaman & Allan Layton & Khorshed Alam, 2015. "On the contribution of information and communication technology to productivity growth in Australia," Economic Change and Restructuring, Springer, vol. 48(3), pages 281-304, November.
    5. L. Rachel Ngai & Roberto M. Samaniego, 2006. "An R&D-Based Model of Multi-Sector Growth," CEP Discussion Papers dp0762, Centre for Economic Performance, LSE.
    6. Katrin Tinn & Evangelia Vourvachaki, 2009. "Can Optimism about Technology Stocks Be Good for Welfare? Positive Spillovers vs. Equity Market Losses," CERGE-EI Working Papers wp383, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    7. Jerbashian, Vahagn, 2015. "The telecommunications industry and economic growth: How the market structure matters," Economic Modelling, Elsevier, vol. 51(C), pages 515-523.
    8. Francesco VENTURINI, 2008. "Information Technology, Research & Development, or Both? What Really Drives A Nation's Productivity," Working Papers 321, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    9. Ngai, L. Rachel & Samaniego, Roberto M., 2008. "Research and Productivity Growth Across Industries," LSE Research Online Documents on Economics 4410, London School of Economics and Political Science, LSE Library.
    10. Ngai, Liwa Rachel & Samaniego, Roberto, 2007. "On the Long run Determinants of Industry TFP Growth Rates," CEPR Discussion Papers 6408, C.E.P.R. Discussion Papers.
    11. repec:dgr:rugggd:gd-115 is not listed on IDEAS

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    More about this item

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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