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

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  • Evangelia Vourvachaki

Abstract

This paper investigates the growth impact of Information and Communication Technologies (ICT) in an economy consisting of three sectors, ICT-producing, ICT-using and non-ICTusing. The ICT progress causes falling prices of the consumption and intermediates produced by the ICT-using sector, providing incentives for investment in the sectors using them. Therefore, the non-ICT-using sector benefits indirectly from ICT, while households' utility increases. The magnitude of the growth transmission mechanism relies on the ICT-using sector production shares. Aggregate economy is on a constant growth path, where growth rates differ across sectors. The model predictions are broadly consistent with the U.S. growth experience.

Suggested Citation

  • Evangelia Vourvachaki, 2009. "Information and Communication Technologies in a Multi-sector Endogenous Growth Model," CERGE-EI Working Papers wp386, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp386
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Jerbashian, Vahagn, 2015. "The telecommunications industry and economic growth: How the market structure matters," Economic Modelling, Elsevier, vol. 51(C), pages 515-523.
    5. 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.
    6. 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.
    7. repec:dgr:rugggd:gd-115 is not listed on IDEAS
    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. 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.
    10. 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.
    11. 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.

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    More about this item

    Keywords

    Multi-sector Economy; Endogenous Growth; Constant Growth Path; Information and Communication Technologies.;
    All these keywords.

    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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