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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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    as
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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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    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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