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A technology-based countries-interaction dynamic model for the study of European growth and stability: Were there the conditions for convergence?

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  • Maggi, Bernardo

Abstract

In this research, we study a methodology for evaluating the dynamics of the European countries' growth. Our focus is on the analysis of the convergence conditions implied by the Lisbon strategy and founded on the interaction among technology diffusion, services for firms and production (the so-called “knowledge-based sustainable growth”). We estimate and analyse a differential equations system representing a disequilibrium model where business services assist the production process for the use of technology. To this aim, we develop a specific panel data estimation-procedure for continuous time nonlinear models. We find the offshoring activity, operated by foreign business services, essential for the countries' convergence to a stable growth path. Then, we perform a sensitivity analysis to assess the possible country's specific efforts necessary to gain stability. Further, we provide an evaluation of the convolution integral of our differential system to determine the initial conditions required to pursue a future target value for the endogenous variables.

Suggested Citation

  • Maggi, Bernardo, 2017. "A technology-based countries-interaction dynamic model for the study of European growth and stability: Were there the conditions for convergence?," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 275-288.
  • Handle: RePEc:eee:tefoso:v:125:y:2017:i:c:p:275-288
    DOI: 10.1016/j.techfore.2017.07.002
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    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. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    3. Luis Rubalcaba & Henk Kox (ed.), 2007. "Business Services in European Economic Growth," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-22879-5.
    4. Evangelista, Rinaldo & Lucchese, Matteo & Meliciani, Valentina, 2013. "Business services, innovation and sectoral growth," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 119-132.
    5. Henk Kox & Luis Rubalcaba, 2007. "Business services and the changing structure of European economic growth," CPB Memorandum 183, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Muller, Emmanuel & Doloreux, David, 2009. "What we should know about knowledge-intensive business services," Technology in Society, Elsevier, vol. 31(1), pages 64-72.
    7. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    8. Wymer, C R, 1972. "Econometric Estimation of Stochastic Differential Equation Systems," Econometrica, Econometric Society, vol. 40(3), pages 565-577, May.
    9. Eaton, Jonathan & Kortum, Samuel, 1996. "Trade in ideas Patenting and productivity in the OECD," Journal of International Economics, Elsevier, vol. 40(3-4), pages 251-278, May.
    10. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    11. Venables, Anthony J, 1996. "Equilibrium Locations of Vertically Linked Industries," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 341-359, May.
    12. Laura Abramovsky & Rachel Griffith, 2006. "Outsourcing and Offshoring of Business Services: How Important is ICT?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 594-601, 04-05.
    13. Magnus, Jan R., 1985. "On Differentiating Eigenvalues and Eigenvectors," Econometric Theory, Cambridge University Press, vol. 1(2), pages 179-191, August.
    14. Kox, Henk L.M. & Rubalcaba, Luis, 2007. "Analysing the contribution of business services to European economic growth," MPRA Paper 2003, University Library of Munich, Germany.
    15. Phillips, P C B, 1991. "Error Correction and Long-Run Equilibrium in Continuous Time," Econometrica, Econometric Society, vol. 59(4), pages 967-980, July.
    16. repec:ecr:col896:28854 is not listed on IDEAS
    17. 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.
    18. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
    19. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    20. Walz, Uwe, 1996. "Transport costs, intermediate goods, and localized growth," Regional Science and Urban Economics, Elsevier, vol. 26(6), pages 671-695, December.
    21. Lichtenberg, Frank R. & Pottelsberghe de la Potterie, Bruno v., 1998. "International R&D spillovers: A comment," European Economic Review, Elsevier, vol. 42(8), pages 1483-1491, September.
    22. Oecd, 2005. "Potential Offshoring of ICT-intensive Using Occupations," OECD Digital Economy Papers 91, OECD Publishing.
    23. Wymer, Clifford R., 1997. "Structural Nonlinear Continuous-Time Models In Econometrics," Macroeconomic Dynamics, Cambridge University Press, vol. 1(2), pages 518-548, June.
    24. Zagler, Martin, 2002. "Services, innovation and the new economy," Structural Change and Economic Dynamics, Elsevier, vol. 13(3), pages 337-355, September.
    25. Unknown, 2002. "General Discussion: Competition Under Free Trade," Proceedings of the 7th Agricultural and Food Policy Systems Information Workshop, 2001: Structural Change as a Source of Trade Disputes Under NAFTA 16857, Farm Foundation, Agricultural and Food Policy Systems Information Workshops.
    26. Andreas Pyka & John Foster (ed.), 2015. "The Evolution of Economic and Innovation Systems," Economic Complexity and Evolution, Springer, edition 127, number 978-3-319-13299-0, June.
    27. -, 2002. "Intra-CDCC trade and investment," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 27506, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    28. 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.
    29. Guerrieri, Paolo & Meliciani, Valentina, 2005. "Technology and international competitiveness: The interdependence between manufacturing and producer services," Structural Change and Economic Dynamics, Elsevier, vol. 16(4), pages 489-502, December.
    30. Bernardo Maggi & Daniel Muro, 2015. "A Dynamical Model of Technology Diffusion and Business Services for the Study of the European Countries Growth and Stability," Economic Complexity and Evolution, in: Andreas Pyka & John Foster (ed.), The Evolution of Economic and Innovation Systems, edition 127, pages 551-577, Springer.
    31. Andrea Masini & Zeinep Aksin Karaesman, 2008. "Effective strategies for internal outsourcing and offshoring of business services: An empirical investigation," Post-Print hal-00516139, HAL.
    32. 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.
    33. Luis Rubalcaba & Henk Kox, 2007. "The Growth of European Business Services," Palgrave Macmillan Books, in: Luis Rubalcaba & Henk Kox (ed.), Business Services in European Economic Growth, chapter 1, pages 15-38, Palgrave Macmillan.
    34. Eaton, Jonathan & Kortum, Samuel, 1999. "International Technology Diffusion: Theory and Measurement," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 537-570, August.
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    Cited by:

    1. Filippo Bontadini & Rinaldo Evangelista & Valentina Meliciani & Maria Savona, 2019. "Integration in Global Value Chains and Employment in Europe," SPRU Working Paper Series 2019-16, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Filippo Bontadini & Rinaldo Evangelista & Valentina Meliciani & Maria Savona, 2021. "Asymmetries in Global Value Chain Integration, Technology and Employment Structures in Europe: Country and Sectoral Evidence," CESifo Working Paper Series 9438, CESifo.
    3. Jona-Lasinio, Cecilia & Manzocchi, Stefano & Meliciani, Valentina, 2019. "Knowledge based capital and value creation in global supply chains," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

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    More about this item

    Keywords

    Technology diffusion; Countries' convergence and stability; Future targets; Continuous time estimation; Nonlinear dynamic systems;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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