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Why Do Some Places Succeed When Others Decline? A Social Interaction Model of Cluster Viability

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  • Jérôme Vicente

    () (LEREPS - Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux - UT1 - Université Toulouse 1 Capitole - UT2J - Université Toulouse - Jean Jaurès - Institut d'Études Politiques [IEP] - Toulouse - ENSFEA - École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville)

  • Raphaël Suire

    () (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR1 - Université de Rennes 1 - UNIV-RENNES - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

One of the most convincing explanations papers generally provide concerning clusters in knowledge-based economies refers to the geographically bounded dimension of knowledge spillovers. Here we shall underline that location decision externalities precede local knowledge spillovers in the explanation of cluster aggregate efficiency, which thus requires us to focus on the sequential process of location and the nature of interdependences in location decision-making. To that end, we mean to associate cluster emergence with the formation of locational norms, and to study the critical parameters of their stability. These parameters relate to the type of decision externalities among more or less cognitively distant firms, which influences the weight and the resulting ambivalent role of knowledge spillovers at the aggregate level of clusters. We suggest two theoretical propositions which we test within a simple and general norm location dynamics modeling framework. We then proceed to discuss the results so obtained by comparing them with an emerging related literature based on the life cycle and viability of clusters

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  • Jérôme Vicente & Raphaël Suire, 2009. "Why Do Some Places Succeed When Others Decline? A Social Interaction Model of Cluster Viability," Post-Print hal-00418539, HAL.
  • Handle: RePEc:hal:journl:hal-00418539
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00418539
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    References listed on IDEAS

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    Cited by:

    1. Joan Crespo & Raphaël Suire & Jérôme Vicente, 2016. "Network structural properties for cluster long-run dynamics: evidence from collaborative R&D networks in the European mobile phone industry," Industrial and Corporate Change, Oxford University Press, vol. 25(2), pages 261-282.
    2. Marius Chevallier & Julien Dellier & Gaël Plumecocq & Frédéric Richard, 2014. "Dynamiques et structuration des circuits courts agroalimentaires en Limousin : distance institutionnelle, proximités spatiale et relationnelle," Géographie, économie, société, Lavoisier, vol. 16(3), pages 339-362.
    3. Luciana Lazzeretti & Francesco Capone, 2017. "The transformation of the Prato industrial district: an organisational ecology analysis of the co-evolution of Italian and Chinese firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 135-158, January.
    4. Rehák Štefan & Buček Milan & Hudec Oto, 2013. "Path dependency and path plasticity in emerging industries," Zeitschrift für Wirtschaftsgeographie, De Gruyter, vol. 57(1-2), pages 52-66, October.
    5. Elisabet Viladecans-Marsal & Josep-Maria Arauzo-Carod, 2012. "Can a knowledge-based cluster be created? The case of the Barcelona 22@ district," Papers in Regional Science, Wiley Blackwell, vol. 91(2), pages 377-400, June.
    6. Raphaël Suire & Jérôme Vicente, 2014. "Récents enseignements de la théorie des réseaux en faveur de la politique et du management des clusters," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201409, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    7. Gilly, Jean-Pierre & Kechidi, Med & Talbot, Damien, 2014. "Resilience of organisations and territories: The role of pivot firms," European Management Journal, Elsevier, vol. 32(4), pages 596-602.
    8. Ron Boschma & Koen Frenken, 2015. "Evolutionary Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 1518, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2015.
    9. Ron Boschma & Koen Frenken, 2011. "The emerging empirics of evolutionary economic geography," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 295-307, March.
    10. Ron Boschma & Dirk Fornahl, 2011. "Cluster Evolution and a Roadmap for Future Research," Regional Studies, Taylor & Francis Journals, vol. 45(10), pages 1295-1298, November.
    11. repec:eee:jrpoli:v:54:y:2017:i:c:p:176-188 is not listed on IDEAS
    12. Sylvain Amisse & Paul Muller & Caroline Hussler & Patrick Rondé, 2011. "Do birds of a feather flock together? Proximities and inter-clusters network," ERSA conference papers ersa11p1896, European Regional Science Association.
    13. Jérôme Vicente, 2014. "“Don’t throw the baby out with the bath water”. Network failures and policy challenges for cluster long run dynamics," Papers in Evolutionary Economic Geography (PEEG) 1420, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2014.
    14. André Torre & Frederic Wallet Wallet, 2013. "The role of proximity relations in regional and territorial development processes," ERSA conference papers ersa13p792, European Regional Science Association.
    15. Essletzbichler Jürgen, 2012. "Generalized Darwinism, group selection and evolutionary economic geography," Zeitschrift für Wirtschaftsgeographie, De Gruyter, vol. 56(1-2), pages 129-146, October.
    16. Manuela Presutti & Cristina Boari & Antonio Majocchi, 2013. "Inter-organizational geographical proximity and local start-ups' knowledge acquisition: a contingency approach," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 25(5-6), pages 446-467, June.
    17. Joan Crespo & Frédéric Amblard & Jérôme Vicente, 2015. "Simulating micro behaviours and structural properties of knowledge networks: toward a “one size fits one” cluster policy," Papers in Evolutionary Economic Geography (PEEG) 1503, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Feb 2015.
    18. Christian Longhi, 2015. "Clusters and Collective Learning Networks: The Case of the Competitiveness Cluster 'Secure Communicating Solutions' in the French Provence-Alpes-Côte d'Azur Region," GREDEG Working Papers 2015-28, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    19. Pierre-Alexandre Balland & Mathijs De Vaan & Ron Boschma, 2013. "The dynamics of interfirm networks along the industry life cycle: The case of the global video game industry, 1987--2007," Journal of Economic Geography, Oxford University Press, vol. 13(5), pages 741-765, September.
    20. Ron Boschma & Pierre-Alexandre Balland & Mathijs de Vaan, 2014. "The formation of economic networks: a proximity approach," Chapters,in: Regional Development and Proximity Relations, chapter 7, pages 243-266 Edward Elgar Publishing.
    21. Silvia Rocchetta & Andrea Mina, 2017. "Technological Coherence and the Adaptive Resilience of Regional Economies," Papers in Evolutionary Economic Geography (PEEG) 1713, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2017.
    22. repec:eee:respol:v:47:y:2018:i:6:p:1173-1184 is not listed on IDEAS
    23. Méndez Ortega, Carles, & Arauzo Carod, Josep Maria, 2018. "Do Software and Videogames firms share location patterns across cities? Evidence from Barcelona, Lyon and Hamburg," Working Papers 2072/306552, Universitat Rovira i Virgili, Department of Economics.
    24. Emilia Madudova, 2016. "Toward of the spatiality of the ICT sector: Case study from the Slovak Republic," Business and Economic Horizons (BEH), Prague Development Center, vol. 12(1), pages 29-41, April.

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    clusters; location under decision externalities; cognitive distance; knowledge spillovers;

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