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Impact of R&D Investment on Economic Growth of the Czech Republic - A Recursively Dynamic CGE Approach

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  • Zuzana Křístková

Abstract

The paper investigates how results obtained with standard CGE models can be improved by incorporating the effects of R&D activity in a recursively-dynamic CGE model built for the economy of the Czech Republic. The main objective of the paper is to quantify the impact of R&D activity on the long-term economic growth of the Czech Republic within the recursively dynamic CGE framework. The effect of R&D investment is modelled via the accumulation of knowledge that is treated as a specific production factor. The main findings show that knowledge accumulation can contribute to higher economic growth, but the impact of the dynamisation in the CGE model is very low. However, in terms of structural changes in the economy, the omission of knowledge capitalization might underestimate the tertiary sector in the longer run. The paper also investigates the efficiency of R&D investment and concludes that in the longer run, investment in capital goods is more efficient in achieving higher economic growth. In the concluding chapter, related factors that may improve the impact of knowledge in the CGE model are discussed.

Suggested Citation

  • Zuzana Křístková, 2012. "Impact of R&D Investment on Economic Growth of the Czech Republic - A Recursively Dynamic CGE Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2012(4), pages 412-433.
  • Handle: RePEc:prg:jnlpep:v:2012:y:2012:i:4:id:432:p:412-433
    DOI: 10.18267/j.pep.432
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    References listed on IDEAS

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    1. Patrizio LECCA & Giorgio GARAU, 2008. "Impact Analysis of Regional Knowledge Subsidy: a CGE Approach Applied to Sardinia," EcoMod2008 23800076, EcoMod.
    2. Arjan Lejour & Hugo Rojas-Romagosa, 2008. "International spillovers of domestic reforms: the joint application of the Lisbon Strategy in the EU," CPB Discussion Paper 105.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    3. G. Garau & P. Lecca, 2008. "Impact Analysis of Regional Knowledge Subsidy: a CGE Approach," Working Paper CRENoS 200811, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. Michal Kejak & David Vavra, 2004. "Factor Accumulation Story: Any Unfinished Business?," CERGE-EI Working Papers wp220, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    5. Kamil Dybczak & David Vonka & Nico van der Windt, 2008. "The Effect of Oil Price Shocks on the Czech Economy," Working Papers 2008/5, Czech National Bank.
    6. Diao, Xinshen & Roe, Terry & Yeldan, Erinc, 1999. "Strategic policies and growth: an applied model of R&D-driven endogenous growth," Journal of Development Economics, Elsevier, vol. 60(2), pages 343-380, December.
    7. Kejak, Michal & Seiter, Stephan & Vavra, David, 2004. "Accession trajectories and convergence: endogenous growth perspective," Structural Change and Economic Dynamics, Elsevier, vol. 15(1), pages 13-46, March.
    8. Arjan Lejour & Hugo Rojas-Romagosa, 2008. "International spillovers of domestic reforms: the joint application of the Lisbon Strategy in the EU," CPB Discussion Paper 105, CPB Netherlands Bureau for Economic Policy Analysis.
    9. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    10. Gillingham, Kenneth & Newell, Richard G. & Pizer, William A., 2008. "Modeling endogenous technological change for climate policy analysis," Energy Economics, Elsevier, vol. 30(6), pages 2734-2753, November.
    11. Wang, Ke & Wang, Can & Chen, Jining, 2009. "Analysis of the economic impact of different Chinese climate policy options based on a CGE model incorporating endogenous technological change," Energy Policy, Elsevier, vol. 37(8), pages 2930-2940, August.
    12. Siddiqi, Yusuf Salem, Meir, 2006. "A Proposal for Treating Research and Development As Capital Expenditures in the Canadian SNA," Economic Analysis (EA) Research Paper Series 2006040e, Statistics Canada, Analytical Studies Branch.
    13. Fernando Galindo-Rueda, 2007. "Developing an R&D satellite account for the UK: a preliminary analysis," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 1(12), pages 18-29, December.
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    More about this item

    Keywords

    economic growth; Czech Republic; R& D investment; CGE model; knowledge accumulation; structural change;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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