IDEAS home Printed from https://ideas.repec.org/p/uto/dipeco/201528.html
   My bibliography  Save this paper

Knowledge Clusters and Multidimensional Proximity: An Agent-Based Simulation

Author

Listed:

Abstract

We will use an Agent-Based Model in order to study how innovation can emerge from the interaction between firms. In particular, we are interested in studying how the clusters that emerges from these interactions influence the ability of bounded rational firms in reacting creatively to out-of-equilibrium conditions. Moreover, we will introduce two type of firms – traditional and innovative – and we will observe if and how this difference influences the outcomes.

Suggested Citation

  • Bottai, carlo & Iori, Martina, 2015. "Knowledge Clusters and Multidimensional Proximity: An Agent-Based Simulation," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201528, University of Turin.
    • Handle: RePEc:uto:dipeco:201528
    as

    Download full text from publisher

    File URL: http://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2015dip/wp_28_2015.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    2. Cristiano Antonelli & Gianluigi Ferraris, 2011. "Innovation as an Emerging System Property: An Agent Based Simulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(2), pages 1-1.
    3. Giovanni Dosi & Luigi Marengo & Giorgio Fagiolo, 1996. "Learning in evolutionary environment," CEEL Working Papers 9605, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    4. Fagiolo, Giorgio & Dosi, Giovanni, 2003. "Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 237-273, September.
    5. G. Dosi & M. Egidi, 2000. "Substantive and Procedural Uncertainty: An Exploration of Economic Behaviours in Changing Environments," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 5, pages 165-188, Edward Elgar Publishing.
    6. Fontana Magda, 2008. "The complexity approach to economics : a Paradigm shift," CESMEP Working Papers 200801, University of Turin.
    7. Cristiano Antonelli & Giuseppe Scellato, 2011. "Out-of-equilibrium profit and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(5), pages 405-421.
    8. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, May.
    9. Piga, Claudio & Poyago-Theotoky, Joanna, 2005. "Endogenous R&D spillovers and locational choice," Regional Science and Urban Economics, Elsevier, vol. 35(2), pages 127-139, March.
    10. Antonelli Cristiano & Ferraris Gianluigi, 2012. "Endogenous knowledge externalities: an agent based simulation model where schumpeter meets Marshall," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201202, University of Turin.
    11. Mai, Chao-cheng & Peng, Shin-kun, 1999. "Cooperation vs. competition in a spatial model," Regional Science and Urban Economics, Elsevier, vol. 29(4), pages 463-472, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    2. Roos, Michael W. M., 2015. "The macroeconomics of radical uncertainty," Ruhr Economic Papers 592, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Ching‐Chih Tseng & Wen‐Jung Liang & Kuang‐Cheng Andy Wang, 2010. "Spatial agglomeration with vertical differentiation," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 841-858, November.
    4. Gerard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 199-220, October.
    5. Lamperti, Francesco & Roventini, Andrea & Sani, Amir, 2018. "Agent-based model calibration using machine learning surrogates," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 366-389.
    6. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Sandro Sapio, 2004. "Markets Design, Bidding Rules, and Long Memory in Electricity Prices," Revue d'Économie Industrielle, Programme National Persée, vol. 107(1), pages 151-170.
    8. Samuli Leppälä, 2018. "Theoretical perspectives on localized knowledge spillovers and agglomeration," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 467-484, August.
    9. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    10. repec:hal:spmain:info:hdl:2441/13thfd12aa8rmplfudlgvgahff is not listed on IDEAS
    11. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    12. Marie-Laure Cabon-Dhersin & Emmanuelle Taugourdeau, 2015. "Research clusters: How public subsidies matter?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01159523, HAL.
    13. Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 564-589.
    14. Cristiano Antonelli, 2011. "The Economic Complexity of Technological Change: Knowledge Interaction and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 1, Edward Elgar Publishing.
    15. Fagiolo G. & Roventini A., 2004. "Animal Spirits, Lumpy Investment, and the Business Cycle," Computing in Economics and Finance 2004 109, Society for Computational Economics.
    16. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    17. Giorgio Fagiolo & Daniele Giachini & Andrea Roventini, 2020. "Innovation, finance, and economic growth: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 703-736, July.
    18. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    19. G. Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative “Evolutionary” Paradigm," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 12.
    20. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    21. Marie‐Laure Cabon‐Dhersin & Emmanuelle Taugourdeau, 2018. "Location and research activities organization: Could public/private cooperation be harmful?," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 883-907, November.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:uto:dipeco:201528. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Piero Cavaleri or Marina Grazioli (email available below). General contact details of provider: https://edirc.repec.org/data/detorit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.