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A dynamical countries-interaction model based on technology for the study of European growth and stability

Author

Listed:
  • Bernardo Maggi

    (Sapienza Universita' di Roma)

  • Daniel Muro

    (Universita' di Roma III)

Abstract

With this study we intend to define a methodology capable to deal with the task of evaluating and planning the interdependent dynamics of growth for some European countries together with their foreign partners. To that aim we employ a nonlinear differential equations system representing a disequilibrium model based on a Schumpeterian evolutionary context with endogenous technology. We use such a model in order to disentangle the interrelationships occurring among countries for the critical variables considered. That is, we succeed in evaluating the contribution to growth of a country with respect to another one in terms of the variables involved. We address and corroborate the validity of our conjectures on the importance of the business services in the innovation and production processes by presenting also a minimal model. Further, we provide an evaluation of the convolution integral of our differential system to determine the necessary initial conditions of the critical variables for policy purposes. We then perform a sensitivity analysis to assess per each country the effectiveness of some possible efforts in order to gain stability.

Suggested Citation

  • Bernardo Maggi & Daniel Muro, 2014. "A dynamical countries-interaction model based on technology for the study of European growth and stability," DSS Empirical Economics and Econometrics Working Papers Series 2014/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  • Handle: RePEc:sas:wpaper:20141
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    References listed on IDEAS

    as
    1. Tom Holden, 2010. "Products, patents and productivity persistence: A DSGE model of endogenous growth," Economics Series Working Papers 512, University of Oxford, Department of Economics.
    2. Walz, Uwe, 1996. "Transport costs, intermediate goods, and localized growth," Regional Science and Urban Economics, Elsevier, vol. 26(6), pages 671-695, December.
    3. Muller, Emmanuel & Doloreux, David, 2009. "What we should know about knowledge-intensive business services," Technology in Society, Elsevier, vol. 31(1), pages 64-72.
    4. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    5. Oecd, 2005. "Potential Offshoring of ICT-intensive Using Occupations," OECD Digital Economy Papers 91, OECD Publishing.
    6. Maggi, Bernardo & Padoan, Pier Carlo & Guerrieri, Paolo, 2009. "A continuous time model of European growth, integration and technology diffusion: The role of distance," Economic Modelling, Elsevier, vol. 26(3), pages 631-640, May.
    7. Maggi, Bernardo & Muro, Daniel, 2013. "A multi-country non-linear dynamical model for the study of European growth based on technology and business services," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 173-187.
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    More about this item

    Keywords

    Continuous Time Panel Econometrics; Distance; Programming; Growth; Stability; Sensitivity; Technology; Business Services.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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