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Innovation and growth through local and global interaction

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  • Andergassen, Rainer
  • Nardini, Franco
  • Ricottilli, Massimo

Abstract

This paper investigates the research and development activity of heterogeneous and rationally bounded firms. The latter conduct this activity through in-house research and by collecting information originating in other firms' spillovers. Thus, research and development activity owes both to independent searching and to interaction diffusing information. We study the conditions under which this idiosyncratic effort yields effects that have either local, system-wise negligible impacts or cumulate to generate significant aggregate ones. In the latter case, global effects feed back upon the incentive to innovate and therefore on the strength of local interaction as well as on autonomous research efforts. It is these dynamic forces that we model. We compare cases in which significant aggregate effects do emerge with cases in which they do not and study their outcome on innovation-directed investment and on long-term growth.

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  • Andergassen, Rainer & Nardini, Franco & Ricottilli, Massimo, 2009. "Innovation and growth through local and global interaction," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1779-1795, October.
    • Handle: RePEc:eee:dyncon:v:33:y:2009:i:10:p:1779-1795
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    1. Bak, Per & Chen, Kan & Scheinkman, Jose & Woodford, Michael, 1993. "Aggregate fluctuations from independent sectoral shocks: self-organized criticality in a model of production and inventory dynamics," Ricerche Economiche, Elsevier, vol. 47(1), pages 3-30, March.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Mokyr, Joel, 1992. "The Lever of Riches: Technological Creativity and Economic Progress," OUP Catalogue, Oxford University Press, number 9780195074772, Decembrie.
    4. Arenas, Alex & Diaz-Guilera, Albert & Perez, Conrad J. & Vega-Redondo, Fernando, 2002. "Self-organized criticality in evolutionary systems with local interaction," Journal of Economic Dynamics and Control, Elsevier, vol. 26(12), pages 2115-2142, October.
    5. Adam B. Jaffe & Manuel Trajtenberg, 2005. "Patents, Citations, and Innovations: A Window on the Knowledge Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 026260065x, December.
    6. Andergassen, Rainer & Nardini, Franco & Ricottilli, Massimo, 2006. "Innovation waves, self-organized criticality and technological convergence," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 710-728, December.
    7. Fai, Felicia & von Tunzelmann, Nicholas, 2001. "Industry-specific competencies and converging technological systems: evidence from patents," Structural Change and Economic Dynamics, Elsevier, vol. 12(2), pages 141-170, July.
    8. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
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    Cited by:

    1. Zeppini, Paolo, 2015. "A discrete choice model of transitions to sustainable technologies," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 187-203.
    2. Paolo Zeppini, 2014. "A discrete choice model of transitions to sustainable technologies: speed limits and optimal monetary policies," Department of Economics Working Papers 28/14, University of Bath, Department of Economics.
    3. Andergassen, Rainer & Nardini, Franco & Ricottilli, Massimo, 2017. "Innovation diffusion, general purpose technologies and economic growth," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 72-80.
    4. Audi, Marc & Ali, Amjad & Fayad Hamadeh, Hani, 2022. "Nexus among innovations, financial development and economic growth in developing countries," MPRA Paper 115220, University Library of Munich, Germany.
    5. Ricottilli, Massimo, 2015. "Innovation through local interaction, imitation and investment waves," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 58-70.
    6. Pradhan, Rudra P. & Arvin, Mak B. & Bahmani, Sahar & Bennett, Sara E., 2017. "The innovation- growth link in OECD countries: Could other macroeconomic variables matter?," Technology in Society, Elsevier, vol. 51(C), pages 113-123.
    7. Rana P. Maradana & Rudra P. Pradhan & Saurav Dash & Kunal Gaurav & Manju Jayakumar & Debaleena Chatterjee, 2017. "Does innovation promote economic growth? Evidence from European countries," Journal of Innovation and Entrepreneurship, Springer, vol. 6(1), pages 1-23, December.
    8. Andergassen Rainer & Ricottilli Massimo & Nardini Franco, 2018. "Innovation, specialization and growth in a model of structural change," The B.E. Journal of Macroeconomics, De Gruyter, vol. 18(2), pages 1-15, June.
    9. Rainer Andergassen & Franco Nardini & Massimo Ricottilli, 2015. "Emergence and Resilience in a Model of Innovation and Network Formation," Networks and Spatial Economics, Springer, vol. 15(2), pages 293-311, June.
    10. Kais Mtar & Walid Belazreg, 2021. "Causal Nexus Between Innovation, Financial Development, and Economic Growth: the Case of OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(1), pages 310-341, March.
    11. R. Andergassen & F. Nardini & M. Ricottilli, 2013. "Innovation diffusion, technological convergence and economic growth," Working Papers wp912, Dipartimento Scienze Economiche, Universita' di Bologna.

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