Myopia, knowledge development and cluster evolution

This article aims to show how processes of knowledge developmentand their institutional underpinnings make up the core of evolutionaryeconomic geography. We argue that micro level concepts—notablyinnovation, selection and retention—provide insights thatcan be helpful also when investigating evolutionary processesof knowledge creation at the aggregate levels of cities, regionsor nations. We investigate the linkage between drivers, mechanismsand barriers to knowledge creation and acquisition at the micro-level,and the development over time and across spatial settings ofhigher-order phenomena of localized institutions and other capabilities.We apply this distinction on the analysis of the rise, growth,decline and possible rejuvenation of spatial clusters of similarand complementary economic activity.     

Home as a Pocket of Local Order: Everyday Activities and The Friction of Distance

Discourse on the information society currently highlights issues of networks, flows and mobilities as prime organizers and re‐organisers of time—space relationships. Such discourse promotes notions of the flexible use of time and space, of people's decoupling from place and even of the end of geography — the belief that distance does not matter. Yet, in this article we argue that the roles of geographical stationarity and proximity in everyday life — understood as the creation and maintaining of pockets of local order — indicate the continuing and often neglected importance of the friction of distance. We demonstrate this empirically by focusing on the home as a pocket of local order, investigating the intensity and spatial extension of people's everyday activities, projects and contacts — their corporeal, virtual and medial (media‐related) mobilities — with the world outside. We support our thesis with data from the population, household and individual levels.     

IMPLEMENTING REPRESENTATIONS OF SPACE IN ECONOMIC GEOGRAPHY*

ABSTRACT Since spatial issues have become more important in economic theory, it is of interest to examine how space is represented. In empirical terms, this concerns at least the representation of distance and proximity. Both of these may be represented and operationalized in a number of ways, with possible consequences for inferences when modeling. This question is related to the representation of spatial entities, and itself plays into the treatment of spatial dependence as substantive and/or just a nuisance. Because other disciplines face similar questions—for example ecology or epidemiology, their conceptualizations and operationalizations of space will also be used for comparative purposes.     

Buzz,Archipelago Economies and the Future of Intermediate and Peripheral Areas in a Spiky World

In a world where large urban agglomerations are increasingly regarded by scholars and policy-makers alike as the engines of economic development, the options at the disposal of intermediate and peripheral areas are dwindling. Doing nothing is, according to the dominating theories, likely to result in a steady decline which may jeopardize their very economic viability. Adopting active measures is thus the way forward. In this paper, we argue that the main solution being proposed—interactive learning through the promotion of local agglomeration (buzz option)—may yield limited results, if at all, as it would stifle the circulation of new knowledge and lead to lock-in. By contrast, promoting interaction outside the comfort zone of geographical, cognitive, social and institutional proximity (pipeline option) is more likely to succeed in generating interactive learning and in facilitating the generation, diffusion and absorption of innovation. We illustrate this point by resorting to the case of firm innovation in Norwegian city regions.     

Knowledge management in regional innovation networks: The case of Lahti,Finland1

This article focuses on knowledge creation and management in regional innovation networks. A knowledge management system for a regional innovation network is designed. Besides explicit and tacit knowledge, self-transcending knowledge is taken into account within the knowledge management system. In addition, considerations of knowledge vision as well as methods from futures studies are incorporated into the system. An innovation network of the Lahti regional innovation system, Finland, is used as a case example in the article. The article highlights the importance of combining loose network development and an explicit, systematic approach to planning and working on knowledge-related matters within regional innovation networks.     

Embeddedness,context, proximity and control

In this paper, we discuss the notion of embeddedness in relation to knowledge and knowledge processes. We distinguish embeddedness in terms of institutional contexts, in terms of clusters and networks, and in terms of spatial proximity. An overview of empirical cases of knowledge processes leads to the conclusion that spatial proximity is not inherently important to these processes. Spatial concentration of knowledge processes may nevertheless occur for other reasons.     

Geography of Knowledge-based Collaboration in a Post-communist Country: Specific Experience or Generalized Pattern?

This article addresses the role of geographical proximity for knowledge and innovation collaboration patterns in the Czech Republic and assesses the factors which determine the spatial distribution of innovation co-operation. The article uses alternative sources of empirical data to map collaboration patterns of innovating companies, research institutes and universities and to find basic regularities. By this, the article aims to fill in the gap in current research focused rather on most advanced regions by adding new knowledge from a transformation, post-communist economy. Also, it aims to shed light on the issue of the role of proximity between actors involved in collaboration in the sphere of knowledge and innovation creation which still remains rather elusive. The findings indicate that even though co-location and intra-regional knowledge and innovation collaboration exist, it cannot be regarded as a decisive characteristic. Geographical proximity is not a crucial condition in knowledge and innovation collaboration as all actors are involved to an important degree in international linkages. Yet, the role of the specific institutional context and factors at micro-level influence the innovation co-operation pattern.     

Globalisation Lived Locally: A Labour Geography Perspective on Control,Conflict and Response among Workers in Kerala

Abstract: Supported by the labour geography framework, I analyse how spatial practices of labour shape the economic geography of capitalism, by looking into a model not at a global but at a very local scale of organisation and showing its effectiveness while confronting social actors organised at global or extra‐local scales. Questioning global stereotypes on economic responses to globalisation, I argue that labour becomes actively involved in the very process of globalisation and the expansion of capital, empirically demonstrating the relevance of this in the globalisation literature. I deal with one region—Kerala—and processes in its labour markets, taking the case of apparel workers in an export‐promoting industrial park.     

Spatial Proximity and Intercompany Communication: Myths and Realities

Abstract

Spatial proximity is credited with numerous virtues in the economic literature. In particular, for a company to be located near other companies is seen as conducive to the development of business relations. Spatial proximity is also considered to contribute to the quality and efficiency of these relations by facilitating face-to-face meetings that foster the exchange of complex knowledge and, in particular, the emergence of innovation. This article explores the notion of spatial proximity in intercompany relations, its capacity to facilitate exchange, as well as the link with the methods of communication employed (information and communication technologies and face-to-face). It is based on a distinction between real proximity (the spatial distance between firms), perceived proximity (the spatial distance as evaluated by the firm itself) and active proximity (spatial proximity that facilitates the exchanges). The data come from a survey conducted in 2008 with more than 2000 firms located in the Brittany region (France). The findings emphasize the relative nature of the notion of spatial proximity and the distinction in some cases between real and active proximities, and show that the positive perception of the role of spatial proximity is sustained by the increased face-to-face contact it entails.     

Outsmarting geography: implementing territorial innovation strategies in sparsely populated regions

The smart specialization literature has hardly addressed the role of geography in promoting novel approaches to local and regional innovation processes beyond classic clustering approaches. Based on empirical observations from five sparsely populated regions, the present article proposes original insights that contribute to the theoretical debate on the place-based nature and spatial dimension of entrepreneurial discovery, the key functional mechanism behind smart specialization. First, it advocates the added-value of integrating strategic spatial planning approaches at different stages of smart specialization implementation, from design to operationalization. Second, it suggests that more effective ways of creating domains through shared knowledge bases of existing sectors should aim at promoting collaboration between second-tier economic agents. Finally, the specificity of the territorial preconditions found in sparsely populated regions brings to the fore new forms of proximity relations based on institutional, cognitive and organizational proximity rather than on geographical clustering.     

Understanding Spatial Differentiation in Urban Decline Levels

The economic and demographic changes currently manifest in many Western cities—referred to as urban decline or urban shrinkage—are receiving increased attention in public and academic debates. Although the general processes driving these changes have been identified, such processes cannot explain why regions and cities which have been exposed to similar processes still differ in their economic and demographic developments. This Western European and US-based literature review attempts to answer the question of how this interregional and intraregional variation in levels of economic and demographic decline can be understood. It is argued that the degree to which wider societal forces (such as deindustrialization, changes in international and domestic migration and changing fertility levels) impact on a particular area depends on how these forces are filtered, first, through the institutional and, second, the spatial context that the region or city is located in. To understand the differences between the cities within one region (being part of the same institutional and spatial contexts), we need to descend to the city level and take account of the local (dis)amenities, comprising its physical, social and economic assets, and the influence of (the place characteristics of) other cities in the vicinity and the socio-political framework.     

Scale,Factor Analyses,and Neighborhood Effects

Studies of potential neighborhood effects have been constrained in most situations by the absence of small‐area data generated to characterize the local contexts within which individuals operate. Using small‐area data from the U.K. Census, this paper Illustrates the creation of bespoke neighborhoods—local areas defined separately for each individual in a sample survey—at a variety of scales, and their characterization using factor analysis techniques. Theories of neighborhood effects are uncertain as to the spatial scale at which the relevant processes operate, hence the value of exploring patterns consistent with those processes at a range of spatial scales. One problem with such comparative study is the incommensurability of regression coefficients derived from analyses using factor scores as the independent variables. The work reported here adapts a procedure introduced for reconstituting partial regression coefficients to circumvent that problem, and illustrates that patterns of voting at a recent British general election showed neighborhood‐effect‐like patterns at two separate scales simultaneously—with individual voter characteristics held constant.     

Examining the Role of Geographical Proximity in a Cluster's Transformation Process: The Case of Taiwan's Machine Tool Industry

This paper examines the relationship between geographical proximity and a cluster's sustained dynamism with a specific focus on the role of geographical proximity in the transformation of cluster firms' production and learning organizations. Using Taiwan's machine tool cluster as an empirical case, this article studies the nature of various intra- and extra-cluster technological networks established by local firms to tackle the cluster's developmental inertia. In contrast to most recent studies that seem to consider geographical proximity less relevant to the sustained prosperity of incumbent clusters, our case study finds that geographical proximity continues to be a critical factor underlying agglomerated firms' capacity to maintain and explore diverse capabilities within and outside the clusters. On the one hand, co-location allows these firms and their coupled actors to experiment with a range of technological networks and organizational forms in the face of the changing competitive conditions. On the other hand, while the spatial boundaries of important technological networks in the cluster are not necessarily confined to the locality, we find that geographical proximity among networked members is the key to the emergence of and better governing over those crucial extra-cluster networks. In addition to responding to the call for empirical work exploring the relationships between geographical proximity and non-geographical proximity in knowledge creation and exchange, this article contributes to the cluster literature by providing evidence on the evolution of clusters and whether the advantages associated with geographical clustering persist over time.     

技术学习与创新:经济地理学的视角

技术学习与创新是20世纪90年代以来经济地理学研究的核心领域之一,它与"异端经济学"之间的互动,既促进了经济地理学的繁荣和学科地位的提升,也为"异端经济学"对技术学习与创新的研究提供了独特的地理视角。本文试图全面梳理经济地理学技术学习与创新研究兴起与深化的过程,从地理接近与面对面交流,关系接近与实践社区,制度接近、嵌入、路径依赖与创新场三个既相互争论又高度互补的方面,来系统阐述技术学习与创新的经济地理机制,并针对当前研究的局限性提出了建构高层次综合的技术学习创新与区域发展理论的设想。     

EMBEDDEDNESS AND THE (RE)MAKING OF RETAIL SPACE IN THE REALM OF MULTICHANNEL RETAILING: THE CASE OF MIGROS SANAL MARKET IN TURKEY

The purpose of this article is to investigate the value of the concept of embeddedness for economic geographers. Alongside the case study of the multichannel grocery retailing brand Migros in Turkey, the spatial impacts – in relational and physical terms – of digitalization and the integration of an online shop into the profile of a supermarket chain are investigated. In applying the concept of embeddedness the article seeks to understand these complex, diverse and uneven processes of (retail) restructurings that affect different dimensions and dynamics of networks, societies and spaces. In my case study I identify two dimensions of embeddedness processes: (1) embedding the online shop in the firm's routines and practices, whereby processes of transfer of knowledge and technology dominate; and (2) embedding online shopping in the customer's routines and practices, whereby processes of adaption to consumer culture dominate. These dimensions are reflexive and as such mirror ongoing negotiation processes between the two stakeholders. On one hand multichannel retailing thus not only alters where but also how people shop, and can result in new retail spaces like pick‐up stores. On the other hand it can be shown, that the “locations”, where online shopping of Migros is available, reproduce spatial variations of socio‐economic factors, such as income distribution or population density. As such, the concept of embeddedness is useful for economic geographers – also in the realm of e‐commerce – to unravel the interconnections of societal, organizational and spatial patterns as well as their variations across space. The study is based on qualitative interviews.     

3. SPACE,PLACE, AND GENDER: THE SEXUAL AND SPATIAL DIVISION OF LABOR IN THE EARLY MODERN HOUSEHOLD

Much has been written about the history of the work of men and women in the premodern past. It is now generally acknowledged that early modern ideological assumptions about a strict division of work and space between men and productive work outside the house on the one hand, and women and reproduction and consumption inside the house, on the other, bore little relation to reality. Household work strategies, out of necessity, were diverse. Yet what this spatial complexity meant in particular households on a day‐to‐day basis and its consequences for gender relationships is less clear and has received relatively little historical attention. The aim of this paper is to add to our knowledge through a case study of the way that men and women used and organized space for work in the county of Essex during the “long seventeenth century”. Drawing on critiques of the concept of “separate spheres” and the models of economic change to which it relates, together with local/micro historical methods, it places evidence within an appropriate regional context to argue that spatial patterns were enormously varied in early modern England and a number of factors—time, place, occupation, and status, as well as gender—determined them. Understanding of the dynamic, complex, uneven purchase of patriarchy upon the organization, imagination, and experience of space has important implications for approaches to gender relations in early modern England. It raises additional doubts about the utility of the separate spheres analogy, and particularly the use of binary oppositions of male/female and public/private, to describe gender relations and their changes in this period and shows that a deeper understanding demands more research into the local contexts in which the gendered division and meaning of work was negotiated.     

Demographic Continuities and Discontinuities in Neolithic Europe: Evidence, Methods and Implications

Observations of continuities and discontinuities in the archaeological record depend in important ways on the spatial and temporal scale at which we make the observations, which are in turn affected by the observational tools we have available. Nowhere is this more important than in matters of chronological resolution and its impact on our sense of stability and change. But theoretical considerations are also relevant and specific theoretical positions and observational tools tend to go together. A variety of new methods have made it possible to attain levels of chronological resolution not previously accessible and also to obtain information about aspects of past societies that were not previously available, such as the genetic make-up of their members. These developments have undermined the long-standing view in Anglo-American archaeology that change is gradual and autonomous and are leading to a view of the past that is much more dynamic. The implications of these new developments are examined in relation to the demographic patterns of the European Neolithic. It is argued that demographic fluctuations—‘boom-bust’ patterns—play a key role in accounting for patterns of cultural change over the course of the Neolithic and that a variety of methods can inform on them, including the use of summed radiocarbon probability distributions, which have the advantage that the information to construct them is very widely available. Given the speed with which demographic processes operate, it is important that the temporal resolution of our methods is sufficient to characterise the patterns that result from them. While the demographic patterns are becoming clearer, much more work needs to be done to understand the cultural, social and economic processes at work following regional collapse in populations, where this does not simply lead to reoccupation by new groups from elsewhere.     

Integration Processes in European Research and Development: A Comparative Spatial Interaction Approach Using Project Based Research and Development Networks,Co‐Patent Networks and Co‐Publication Networks

This study focuses on integration processes in European Research and Development (R&D) by analyzing the spatiotemporal dimension of three different R&D collaboration networks across Europe. The studied networks cover different types of knowledge creation, namely project‐based R&D networks within the European Union (EU) Framework Programmes (FPs), co‐patent networks, and co‐publication networks. Integration in European R&D—one of the main pillars of the EU Science Technology and Innovation policy—refers to the harmonization of fragmented national research systems across Europe and to the free movement of knowledge and researchers. The objective is to describe and compare spatiotemporal patterns at a regional level and to estimate the evolution of separation effects over the time period 1999–2006 that influence the probability of cross‐region collaborations in the distinct networks under consideration. The study adopts a spatial interaction modeling perspective, econometrically specifying a panel generalized linear model relationship, taking into account spatial autocorrelation among flows using eigenfunction spatial filtering methods. The results show that geographical factors are a lower hurdle for R&D collaborations in the FP networks than in co‐patent networks and co‐publication networks. Furthermore, it is shown that the geographical integration is higher in the FP network.     

SPATIAL HETEROGENEITY IN KNOWLEDGE,INNOVATION, AND ECONOMIC GROWTH NEXUS: CONCEPTUAL REFLECTIONS AND EMPIRICAL EVIDENCE

By drawing on the Schumpeterian distinction between invention (i.e., new ideas and knowledge creation) and commercialization of new ideas (i.e., innovation), this paper shows that knowledge and innovation are both important drivers of economic growth, but have heterogeneous spatial impacts. In particular, the growth benefits accruing from knowledge seem rather selective and concentrated across space whereas the growth benefits generated by innovation seem more diffusive, and regions innovating in the absence of a strong local knowledge base can be as successful as more knowledge‐intensive regions in turning innovation into a higher growth rate, possibly by exploiting local informal knowledge and/or knowledge spillovers. These results are of great importance for the design of research and innovation policies within the frame of the Europe 2020 strategy.