IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v13y2011i4p415-436.html
   My bibliography  Save this article

Interpreting the role of proximity on Industrial District competitiveness using a complexity science-based view and Systems Dynamics simulation

Author

Listed:
  • Nunzia Carbonara
  • Ilaria Giannoccaro

Abstract

No abstract is available for this item.

Suggested Citation

  • Nunzia Carbonara & Ilaria Giannoccaro, 2011. "Interpreting the role of proximity on Industrial District competitiveness using a complexity science-based view and Systems Dynamics simulation," Journal of Geographical Systems, Springer, vol. 13(4), pages 415-436, December.
    • Handle: RePEc:kap:jgeosy:v:13:y:2011:i:4:p:415-436
    DOI: 10.1007/s10109-010-0128-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10109-010-0128-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10109-010-0128-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ron A. Boschma & Jan G. Lambooy, 1999. "Evolutionary economics and economic geography," Journal of Evolutionary Economics, Springer, vol. 9(4), pages 411-429.
    2. Davenport, Sally, 2005. "Exploring the role of proximity in SME knowledge-acquisition," Research Policy, Elsevier, vol. 34(5), pages 683-701, June.
    3. Wuyts, Stefan & Colombo, Massimo G. & Dutta, Shantanu & Nooteboom, Bart, 2005. "Empirical tests of optimal cognitive distance," Journal of Economic Behavior & Organization, Elsevier, vol. 58(2), pages 277-302, October.
    4. Oliver E. Williamson & Scott E Masten (ed.), . "The Economics of Transaction Costs," Books, Edward Elgar Publishing, number 1652.
    5. Breschi, Stefano & Lissoni, Francesco, 2001. "Knowledge Spillovers and Local Innovation Systems: A Critical Survey," Industrial and Corporate Change, Oxford University Press, vol. 10(4), pages 975-1005, December.
    6. Stefano Breschi & Francesco Lissoni, 2006. "Mobility of inventors and the geography of knowledge spillovers. New evidence on US data," KITeS Working Papers 184, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Oct 2006.
    7. Carbonara, Nunzia & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Supply chains within industrial districts: A theoretical framework," International Journal of Production Economics, Elsevier, vol. 76(2), pages 159-176, March.
    8. Andre Torre & Alain Rallet, 2005. "Proximity and Localization," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 47-59.
    9. Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), 2005. "Industrial Clusters and Inter-Firm Networks," Books, Edward Elgar Publishing, number 3577.
    10. Ann Markusen, 1996. "Sticky Places in Slippery Space: A Typology of Industrial Districts," Economic Geography, Taylor & Francis Journals, vol. 72(3), pages 293-313, July.
    11. Leon Oerlemans & Marius Meeus, 2005. "Do Organizational and Spatial Proximity Impact on Firm Performance?," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 89-104.
    12. Andr Torre Shaw & Jean-Pierre Gilly, 2000. "On the Analytical Dimension of Proximity Dynamics," Regional Studies, Taylor & Francis Journals, vol. 34(2), pages 169-180.
    13. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    14. Kauffman, Stuart & Lobo, Jose & Macready, William G., 2000. "Optimal search on a technology landscape," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 141-166, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Min Guo & Naiding Yang & Jingbei Wang & Yanlu Zhang, 2021. "Multi-dimensional proximity and network stability: the moderating role of network cohesion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3471-3499, April.
    2. Federico Pablo-Marti & Juan Luis Santos & Antonio Gacía-Tabuenca & María Teresa Gallo & Tomás Mancha, 2012. "Forecasting and simulation of the impact of public policies on industrial districts using an agent-based model," ERSA conference papers ersa12p553, European Regional Science Association.
    3. Geldes, Cristian & Felzensztein, Christian & Turkina, Ekaterina & Durand, Aurélia, 2015. "How does proximity affect interfirm marketing cooperation? A study of an agribusiness cluster," Journal of Business Research, Elsevier, vol. 68(2), pages 263-272.

    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. Iammarino, Simona & McCann, Philip, 2006. "The structure and evolution of industrial clusters: Transactions, technology and knowledge spillovers," Research Policy, Elsevier, vol. 35(7), pages 1018-1036, September.
    2. Rachel Bocquet & Caroline Mothe, 2010. "Knowledge governance within clusters: the case of small firms," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 8(3), pages 229-239, September.
    3. Ellen Siu, 2018. "Interorganisational collaboration in Academic Health Science Centre: A case study on King’s Health Partnership," Working Papers 40, Birkbeck Centre for Innovation Management Research, revised Feb 2021.
    4. Ana Paula Faria & Natália Barbosa & Vasco Eiriz, 2013. "Firms’ innovation across regions: an exploratory study," NIPE Working Papers 12/2013, NIPE - Universidade do Minho.
    5. Copus Andrew & Dubois Alexandre & Hedström Moa, 2011. "Expanding horizons: local embeddedness and local engagement among small firms in the European countryside," European Countryside, Sciendo, vol. 3(3), pages 164-182, January.
    6. Xavier Molina-Morales, F. & Belso-Martínez, José A. & Más-Verdú, Francisco & Martínez-Cháfer, Luis, 2015. "Formation and dissolution of inter-firm linkages in lengthy and stable networks in clusters," Journal of Business Research, Elsevier, vol. 68(7), pages 1557-1562.
    7. Jérome VICENTE (LEREPS-GRES) & Yan Dalla PRIA (CSO – CNRS) & Raphaël SUIRE (CREM – CNRS), 2006. "The Ambivalent Role of Mimetic Behaviors in Proximity Dynamics: Evidences on the French “Silicon Sentier”," Cahiers du GRES (2002-2009) 2006-02, Groupement de Recherches Economiques et Sociales.
    8. Lorenzo Cassi & Anne Plunket, 2014. "Proximity, network formation and inventive performance: in search of the proximity paradox," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 395-422, September.
    9. Marie Ferru, 2012. "Partners connection process and geography of innovation: new insights from a comparative inter-organizational partnerships analysis," Working Papers hal-00461258, HAL.
    10. Hung, Shiu-Wan & Cheng, Min-Jhih & Hou, Chen-En & Chen, Nai-Rong, 2021. "Inclusion in global virtual teams: Exploring non-spatial proximity and knowledge sharing on innovation," Journal of Business Research, Elsevier, vol. 128(C), pages 599-610.
    11. Christophe Carrincazeaux & Yannick Lung & Jérôme Vicente, 2007. "The Scientific Trajectory of the French School of Proximity: Interaction- and Institution-based Approaches to Regional Innovation Systems," European Planning Studies, Taylor & Francis Journals, vol. 16(5), pages 617-628, December.
    12. Simona Iammarino & Philip McCann, 2010. "The Relationship between Multinational Firms and Innovative Clusters," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 8, Edward Elgar Publishing.
    13. Rens L.J. Vandeberg & Ellen H.M. Moors, 2008. "A framework for interactive learning in emerging technologies," Innovation Studies Utrecht (ISU) working paper series 08-06, Utrecht University, Department of Innovation Studies, revised Feb 2008.
    14. Jiuchang Wei & Wanling Zhan & Xiumei Guo & Dora Marinova, 2017. "Public attention to the great smog event: a case study of the 2013 smog event in Harbin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 923-938, November.
    15. Noreen BYRNE & Kristina HEINONEN & Iiro JUSSILA, 2015. "The Role and Proximity in Value Preferences: a Study of Consumer Co-operatives," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(2), pages 339-361, June.
    16. Mirko Titze & Matthias Brachert & Alexander Kubis, 2011. "The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)," Regional Studies, Taylor & Francis Journals, vol. 45(1), pages 89-102.
    17. Rachel Bocquet & Caroline Danièle Mothe, 2014. "Le rôle de la gouvernance des clusters dans les capacités dynamiques d’absorption des PME," Post-Print hal-01133514, HAL.
    18. 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.
    19. Solène Chesnel & Jérémie Molho & Florian Raimbeau & Hélène Morteau & Dominique Sagot-Duvauroux, 2013. "Les clusters ou districts industriels du domaine culturel et médiatique : revue du savoir économique et questionnement," Working Papers hal-02502563, HAL.
    20. Kudic, Muhamed & Bönisch, Peter & Dominguez Lacasa, Iciar, 2010. "Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space," IWH Discussion Papers 22/2010, Halle Institute for Economic Research (IWH).

    More about this item

    Keywords

    Industrial Districts; Proximity; Complex adaptive systems; Systems Dynamics simulation; R00; R11; C15;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:kap:jgeosy:v:13:y:2011:i:4:p:415-436. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.