Advertisement

The Role of Leading Firms in Explaining Evolutionary Paths of Growth: Italian and Turkish Clusters on the Move

  • F. Belussi
  • A. Caloffi
Chapter
Part of the Advances in Spatial Science book series (ADVSPATIAL)

Abstract

This chapter presents an analysis of the long-term development of the footwear industry in Italy and Turkey, focusing in particular on their main industrial districts/cluster: one in Italy and three in Turkey. Our research contributes to the reflection on the evolving relationship between history-dependent localisation externalities and firm performances. Agglomeration benefits do exist in the various stages of the cluster life cycle. However, not all firms benefit equally from being in a cluster, and not all firms show an accelerated pattern of growth after being located in a cluster. We found that after the take-off and the cluster’s emergence, the dynamics of clusters is driven by the ability of some leading firms to connect the cluster (and its internal supply chains) to external markets and to global knowledge sources.

Keywords

Clusters Evolution Firm performance Turkey 

References

  1. ANCI. (2011). Shoe report. Milano: Franco Angeli.Google Scholar
  2. Andrews, D., Criscuolo, C., & Gal, P. (2015). Frontier firms, technology diffusion and public policy: Micro evidence from OECD countries (No. 2). OECD Publishing.Google Scholar
  3. Baum, J. A., & Haveman, H. A. (1997). Love thy neighbor? Differentiation and agglomeration in the Manhattan hotel industry, 1898-1990. Administrative Science Quarterly, 42, 304–338.CrossRefGoogle Scholar
  4. Bellandi, M., Caloffi, A., & Toccafondi, D. (2010). Riaggiustamento delle reti distrettuali e differenziazione dei percorsi di reazione alla crisi di mercato. In A. Zazzaro (a cura di), Reti d'imprese e territorio. Bologna: il Mulino.Google Scholar
  5. Belussi, F. (2006). In search of a theory of spatial clustering: Agglomeration vs active clustering. In B. Asheim, P. Cooke, & R. Martin (Eds.), Clusters in regional development (pp. 69–89). London: Routledge.Google Scholar
  6. Belussi, F. (2010). The evolution of a technologically dynamic district: the case of Montebelluna. In F. Belussi & A. Sammarra (Eds.), Business networks in clusters and industrial districts. Abingdon: Routledge.Google Scholar
  7. Belussi, F. (2015). The international resilience of Italian industrial districts/clusters (ID/C) between knowledge re-shoring and manufacturing off (near)-shoring. Investigaciones Regionales, 32, 89.Google Scholar
  8. Belussi, F., & De Propris, L. (2014). They are industrial districts, but not as we know them! In F. Giarratani, G. J. Hewings, & P. McCann (Eds.), Handbook of industry studies and economic geography (pp. 479–492). Cheltenham: Edward Elgar.Google Scholar
  9. Belussi, F., & Pilotti, L. (2002). Knowledge creation, learning and innovation in Italian industrial districts. GeografiskaAnnaler, Series B, Human Geography, 84(2), 125–139.CrossRefGoogle Scholar
  10. Belussi, F., & Pilotti, L. (2011). Learning and innovation by networking within the Italian industrial districts: the development of an explorative analytical model. Sinergie Italian Journal of Management, 58, 3–43.Google Scholar
  11. Belussi, F., & Sedita, S. R. (2009). Life cycle vs. multiple path dependency in industrial districts. European Planning Studies, 17(4), 505–528.CrossRefGoogle Scholar
  12. Belussi, F., Sedita, S. R., Aage, T., & Porcellato, D. (2011). Inward flows of information and knowledge in low-tech industrial districts: Contrasting the ‘few firms gatekeeper’ and ‘direct-peer’ models. In P. Robertson & D. Jacobson (Eds.), Knowledge Transfer and Technology Diffusion. Edward Elgar: Cheltenham.Google Scholar
  13. Boari, C., Elfring, T., & Molina-Morales, X. F. (Eds.). (2016). Entrepreneurship and cluster dynamics. London: Routledge.Google Scholar
  14. Chung, W., & Kalnins, A. (2001). Agglomeration effects and performance: A test of the Texas lodging industry. Strategic Management Journal, 22(10), 969–988.CrossRefGoogle Scholar
  15. Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550.CrossRefGoogle Scholar
  16. Eraydin, A., & Armatli-Köroğlu, B. (2005). Innovation, networking and the new industrial clusters: The characteristics of networks and local innovation capabilities in the Turkish industrial clusters. Entrepreneurship and Regional Development, 17(4), 237–266.CrossRefGoogle Scholar
  17. Gerring, J. (2004). What is a case study and what is it good for? American Political Science Review, 98(02), 341–354.CrossRefGoogle Scholar
  18. Giblin, M., & Ryan, P. (2015). Anchor, incumbent and late entry MNEs as propellents of technology cluster evolution. Industry and Innovation, 22(7), 553–574.CrossRefGoogle Scholar
  19. Hervas-Oliver, J. L., & Albors-Garrigos, J. (2014). Are technology gatekeepers renewing clusters? Understanding gatekeepers and their dynamics across cluster life cycles. Entrepreneurship and Regional Development, 26(5–6), 431–452.CrossRefGoogle Scholar
  20. Hervas-Oliver, J. L., & Boix-Domenech, R. (2013). The economic geography of the meso-global spaces: Integrating multinationals and clusters at the local–global level. European Planning Studies, 21(7), 1064–1080.CrossRefGoogle Scholar
  21. Hervas-Oliver, J. L., Lleo, M., & Cervello, R. (2017). The dynamics of cluster entrepreneurship: Knowledge legacy from parents or agglomeration effects? The case of the Castellon ceramic tile district. Research Policy, 46(1), 73–92.CrossRefGoogle Scholar
  22. Karacaovali, B. (2011). Turkey: Temporary trade barriers as resistance to trade liberalisation with the European Union? (Fordham University Department of Economics Discussion Paper, 2011–02).Google Scholar
  23. Kumral, N., & Akgüngör, S. (2006). Long-term industrial competitiveness: Challenges for the Aegean region (Ege University Working Paper No. 0613).Google Scholar
  24. Marshall, A. (1920). Principles of economics. London: Macmillan.Google Scholar
  25. McCann, B. T., & Folta, T. B. (2011). Performance differentials within geographic clusters. Journal of Business Venturing, 26(1), 104–123.CrossRefGoogle Scholar
  26. Menzel, M. P., & Fornahl, D. (2009). Cluster life cycles—Dimensions and rationales of cluster evolution. Industrial and Corporate Change, 19(1), 1–34.Google Scholar
  27. Narula, R. (2014). Globalization and technology: Interdependence, innovation systems and industrial policy. New York: Wiley.Google Scholar
  28. Osem. (2001). Rapporto di ricerca. Camera: di Commercio di Treviso.Google Scholar
  29. Pandit, N., Cook, G., & Beaverstock, J. (2017). Economies and diseconomies of clusters: Financial services in the city of London. In F. Belussi & J. L. Hervás-Oliver (Eds.), Unfolding cluster evolution. London: Routledge.Google Scholar
  30. Sedita, S., Caloffi, A., & Belussi, F. (2013). Heterogeneity of MNEs entry modes in industrial clusters: An evolutionary approach based on the cluster life cycle model. Paper presented at the 35th DRUID Celebration Conference, Barcelona 17–19 June 2013.Google Scholar
  31. Shaver, J. M., & Flyer, F. (2000). Agglomeration economies, firm heterogeneity, and foreign direct investment in the United States. Strategic Management Journal, 21(12), 1175–1194.CrossRefGoogle Scholar
  32. Stake, R. E. (2013). Multiple case study analysis. Guilford Press.Google Scholar
  33. Ter Wal, A. L., & Boschma, R. (2011). Co-evolution of firms, industries and networks in space. Regional Studies, 45(7), 919–933.CrossRefGoogle Scholar
  34. Tödtling, F., Sinozic, T., & Auer, A. (2017). Driving factors of cluster evolution: A multiscalar comparative perspective. In F. Belussi & J. L. Hervás-Oliver (Eds.), Unfolding cluster evolution. London: Routledge.Google Scholar
  35. Yin, R. K. (2011). Applications of case study research. London: Sage.Google Scholar
  36. Yin, R. K. (2013). Case study research: Design and methods. London: Sage.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Padova UniversityPadovaItaly

Personalised recommendations