A critical review of entrepreneurial ecosystems research: towards a future research agenda

The entrepreneurial ecosystem (EE) literature has attracted much attention, especially in policy circles. However, the concept suffers from a number of shortcomings: (1) it lacks a clear analytical framework that makes explicit what is cause and what is effect in an EE; (2) while being a systemic concept, the EE has not yet fully exploited insights from network theory, and it is not always clear in what way the proposed elements are connected in an EE; (3) it remains a challenge what institutions (and at what spatial scale) impact on the structure and performance of EE; (4) studies have often focused on the EE in single regions or clusters, but lack a comparative and multi-scalar perspective and (5) the EE literature tends to provide a static framework taking a snapshot of EE without considering systematically their evolution over time. For each of these shortcomings, we make a number of suggestions to take up in future research on EE.     

Learning in districts: Novelty and lock-in in a regional context

This paper deals with the constraints and risks of learning in different types of spatial concentration of related industries and firms. We aim at a better understanding of what makes the difference between local lock-in on the one hand and ongoing creation of novelty on the other. To achieve this purpose, we use Nonaka and Takeuchi's (1995) treatment of knowledge conversion processes and Nooteboom's (2000) cycle of discovery. Hence, we are able to clarify the concept and nature of learning, which in turn provides a basis for specifying different learning effects of two prototypes of spatial concentration: Marshallian and dynamic industrial districts. We show that these two types of industrial districts have multiple, different, and complementary functions in terms of knowledge conversion and knowledge creation. Hence, we can explain why spatial concentration can have positive and negative effects for learning and innovation, and how lock-in can be avoided.     

New High-Tech Industries and Windows of Locational Opportunity: The Role OfLabour Markets and Knowledge Institutions During the Industrial Era

This paper presents a theoretical concept (the so-called“Open Windows of Locational Opportunity” concept, or OWLO concept) which provides an explanation for why it is rather uncertain and unpredictable where new high-technology industries will emerge in space. This is due to three tightly linked features of new high-tech industries. Firstly, new high-tech industries reflect a high rate of discontinuity because they place new demandson their local production environment. Secondly, due to this mismatch, new high-tech industries depend on their creative ability to generate or attract their own favourable production environment. This creative capacity compensates for the lack of specific local stimuli, as associated with their discontinuous nature. Thirdly, the OWLO concept claims that chance events may have a considerable impact on the place where new industries emerge. This is because it remains unpredictable at which place potentially favourable resources of a generic nature set in motion a creative process which brings increasing returns (that is, “localization economies”) into the local production environment. As a consequence, many regions are considered to be in a more or less equal position to develop new high-tech industries during their initialstage of growth, despite their different techno-industrial histories. We have further illustrated this OWLO concept by linking it to the problem of whether regional labour markets and knowledge institutions may facilitate the ability of regions to generate new high-tech industries, despite the fact that these require new knowledge and skills. We made an attempt to specify in broad terms the extent to which local supplies of labour and institutionalized knowledge may have influenced the place where so-called new clusters of innovative industries emerged in Great Britain and Belgium during the industrial epoch. We presented some evi-dence that the three key notions of the OWLO concept described above have indeed been features of the spatial emergence of many new clusters in both countries during their initial stage of development.     

A theoretical framework for evolutionary economic geography: industrial dynamics and urban growth as a branching process

We propose a framework that specifies the process of economicdevelopment as an evolutionary branching process of productinnovations. Each product innovation provides a growth opportunityfor an existing firm or a new firm, and for an existing cityor a new city. One can then obtain both firm size and city sizedistributions as two aggregates resulting from a single evolutionaryprocess. Gains from variety at the firm level (economies ofscope) and the urban level (Jacobs externalities) provide thecentral feedback mechanism in economic development generatingstrong path dependencies in the spatial concentration of industriesand the specialization of cities. Gains from size are also expected,yet these are ultimately bounded by increasing wages. The contributionof our framework lies in providing a micro-foundation of economicgeography in terms of the interplay between industrial dynamicsand urban growth. The framework is sufficiently general to investigatesystematically a number of stylized facts in economic geography,while at the same time it is sufficiently flexible to be extendedsuch as to become applicable in more specific micro-contexts.A number of extensions related to the concepts of knowledgespillover and lock-in, are also discussed.