Aitziber Elola

Social capital, internationalization and absorptive capacity: The electronics and ICT cluster of the Basque Country

This article analyses the case of a successful young high technology cluster in an old industrialized European region, the electronics and information and communications technology cluster in the Basque Country (Spain). Based on the findings of this case study, we propose that social capital and internationalization play an important role in increasing the absorptive capacity of clusters (thus, the capacity of a cluster to absorb, diffuse and creatively exploit extra-cluster knowledge), and hence, in sustaining their growth and dynamism. Absorptive capacity depends on the capacity of firms to establish intra- and extra-cluster knowledge linkages. We put forward in this article the fact that social capital fosters intra-cluster knowledge linkages, and clusters internationalization the extra-cluster knowledge ones. Therefore, social capital and internationalization are key elements to increase the absorptive capacity of a cluster and its growth. Given the accumulative, path- and place-dependent nature of social capital and knowledge creation and accumulation, we employed a largely qualitative and historical analysis, combining statistical and qualitative cluster data and interviews with key actors.

Cluster Life Cycles, Path Dependency and Regional Economic Development: Insights from a Meta-Study on Basque Clusters

In this study, we aim at evaluating the role of path-dependent and past-dependent forces in the historical trajectory of clusters. For that purpose, we study the life cycles of four of the main industrial clusters in the Basque Country (paper-making, electronics and information and communication technology, maritime industries and aeronautics) and analyse the factors that account for the origin, development, maturity and, if so, decline of those clusters, considering factors related to both cluster dynamics and the regional environment. Our analysis shows that the existence of a life cycle does not imply a straightforward growth path. Clusters follow multiple growth patterns in their development. The heterogeneity of growth patterns may be, in some cases, due to different initial conditions. However, despite similar initial conditions and/or resource endowments and opportunities for development, we can observe heterogeneous evolutionary patterns. Clusters react differently to the same external shocks (e.g. international demand, global competition and technological change) and evolve differently according to their capabilities.

The Resilience of Clusters in the Context of Increasing Globalization: The Basque Wind Energy Value Chain

In this paper, we study how globalization impacts on the structure and governance patterns of value chains and on the resilience of local clusters. We study the value chains related to two Basque (Spain) companies in the wind energy industry, Iberdrola and Gamesa, and the local cluster to which they belong. We find that firms within the cluster have different types of relationships with lead companies depending on their competences and the complexity of their products. As a consequence, firms also present different potential for growth and/or resilience: some have the capacity to internationalize their operations and/or shift to the offshore wind market, others are vulnerable to competition from providers in the emerging countries. Against this context, we discuss how the cluster responds to these challenges and the role of policy.

Do clusters follow the industry life cycle

Purpose – This paper aims to examine whether in old industrial regions, the trajectory of clusters follows that of their corresponding industry or deviates from it and which are the factors that account for cluster evolution. This paper deals with the issue of how established clusters either renew or transform themselves in such regions and how they adapt to changes in their corresponding international industries. Design/methodology/approach – This research paper draws from in-depth case studies on six industrial clusters, takes a longitudinal perspective and uses a multi-level and qualitative analysis. Based on existing literature, the paper suggests and exploratory analytical framework with four alternative scenarios for cluster evolution and three broad factors: cluster knowledge base, social capital at cluster and region-level and public policies. Findings – Clusters do not always follow the life cycle of its dominant industry. The paper clearly shows a diversity of cluster evolution across clusters a...

Public policies and cluster life cycles: insights from the Basque Country experience

ABSTRACT This paper contributes to the study of the role of public policies in the origins and evolution of clusters. Building on the existing literature, we set up a taxonomy of nine public policies that may have an impact on the emergence and evolution of clusters. Based on in-depth case studies of six clusters of the Basque Country, particularly representative of the industrial history of the region, we analyse the relevance of the different types of policies both in the emergence and evolution of clusters over time. In agreement with cluster literature, the paper concludes that public policies seem to have played only an indirect role across clusters and over their life cycles. Moreover, it points to the necessity of taking history and context into account, as most of the important policy measures highlighted by cluster literature today do not fit well with the previous policy and economic context. Finally, it also concludes that for cluster policies to be effective, the stages of the life cycle should be taken into consideration.

Social Capital, Knowledge, and Competitiveness: The Cases of the Basque Paper and Electronics/ICT Clusters

The importance of clusters and spatial networks for economic development has been largely acknowledged in economic and business literature (see, for example, Porter, 1998; Martin and Sunley, 2003; Malmberg and Maskell, 2002). Empirical evidence shows that companies in clusters experience stronger growth and faster innovation than those outside clusters, and that clusters attract more start-ups than regions without clusters (Audretsch and Feldman, 1996; Baptista and Swann, 1998; Baptista, 2000; Klepper, 2007; Swann et al., 1998). These characteristics cause clusters to be considered a prerequisite for regional prosperity (Porter, 2003; Bathelt, 2001). Many policy-makers have also recognized this phenomenon and turned to policies based on cooperative networks (Aranguren et al., 2006).