Regional Innovation Systems

Heidenreich, Martin

doi:10.4324/9780203330234

Cited by 257 publications

(108 citation statements)

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“…The historical progression towards a knowledge-based economy varies among nations; integration at the national level still plays a major role in any system of innovation (SKOLNIKOFF, 1993;RIBA-VILANOVA & LEYDESDORFF, 2001). However, transnational levels of government like the European Union and the ongoing devolution of nations into regions have changed the functions of national governments (BRACZYK et al, 1998;COOKE & LEYDESDORFF, 2006). While national governments were previously integrators in institutional terms, 'governance' nowadays spans a variety of sub-and supranational levels (KOOIMAN, 1993).…”

Section: Evaluation Of Different Subdynamicsmentioning

confidence: 98%

The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)

Leydesdorff

Meyer

2007

Scientometrics

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We distinguish between an internal differentiation of science and technology that focuses on instrumentalities and an external differentiation in terms of the relations of the knowledge production process to other social domains, notably governance and industry. The external contexts bring into play indicators and statistical techniques other than publications, patents, and citations. Using regression analysis, for example, one can examine the importance of knowledge and knowledge spill-over for economic development. The relations can be expected to vary among nations and regions. The field-specificity of changes is emphasized as a major driver of the research agenda. In a knowledge-based economy, institutional arrangements can be considered as support structures for cognitive developments.

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Section: Evaluation Of Different Subdynamicsmentioning

confidence: 98%

The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)

Leydesdorff

Meyer

2007

Scientometrics

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“…Pivotal to the success of such specialized milieus are long-term producer and buyer relationships (horizontal and oblique quasi-integration), repeated interaction and knowledge exchange (fluidity of knowledge), and trial-and-error problem solving (Leborgne and Lipietz, 1992). In essence, what is proposed in this approach to understanding spatially uneven economic growth is the social bonding of firms to create enterprise through learning (Braczyk et al, 1998;Maskell et al, 1998).…”

Section: Learning Regions and Innovative Milieusmentioning

confidence: 99%

“…(3) Scott and Storper's (1992) flexible-production and flexible-specialization model (Scott, 1988); (4) the closely related institutionalist approaches based on networks, embeddedness, innovative milieus, and`learning regions' (Braczyk et al, 1998;Lundvall, 1992;Maillat, 1996;Maskell et al, 1998;OECD, 1996); (5) Porter's (1990) competitive-advantage model; and (6) the enterprise-segmentation, unequal-power-relationships framework (Dicken and Thrift, 1992;Taylor and Thrift, 1982;1983). We contend that these theories identify sets of interrelated dimensions that either promote or constrain economic growth (of employment, enterprise, or investment) in communities and localities.…”

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confidence: 99%

Theories of Local Economic Growth (Part 1): Concepts, Models, and Measurement

Plummer

Taylor

2001

Environ Plan A

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IntroductionUnderstanding the processes and patterns of economic development is at the heart of economic geography. Explanations of these processes have become increasingly elaborate as the processes of internationalization and globalization have intensified the complexity of economic and social interrelationships and the arenas within which these interrelationships are played out (Dicken, 1998; Lee and Wills, 1997; Thrift, 1998; Yeung, 1998). The crisis in capitalism that became apparent in the late 1960s highlighted the limitations of Fordism and the weaknesses of the branch-plant economies it created. Those economies suffered from a lack of locally autonomous decisionmaking, increasingly narrowed occupational opportunities, and corporate sector enterprises that no longer provided industrial environments conducive to indigenous economic growth (Gillespie, 1983;Scott and Storper, 1992). Analytical attention has now shifted towards indigenous development and local capacities to generate self-sustaining economic growth.In the past twenty years, a range of theoretical frameworks and empirical analyses has emerged in economic geography. They combine, in different ways at the local scale, processes associated with technology and knowledge, markets and competition, transaction structures, networks and interenterprise relations, labour markets, and culture and embeddedness to explain differences in local economic dynamics and in the

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“…In later studies, the notion of smaller-sized innovation systems was introduced, such as regional (Braczyk et al, 1998;Cooke, 2002), sectorial (Breschi and Malerba, 1997;Malerba, 2005), technological (Carlsson and Stankiewitz, 1991;Carlsson, 2006), and corporate innovation systems at different scales (Granstrand, 2000). A national system of innovations, as in the case of Hungary, can also be comprised of a number of smaller regional systems (Lengyel and Leydesdorff, 2011).…”

Section: Introductionmentioning

confidence: 99%

Knowledge-generating efficiency in innovation systems: The acceleration of technological paradigm changes with increasing complexity

Ivanova

Leydesdorff

2015

Technological Forecasting and Social Change

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Time series of US patents per million inhabitants show cyclic structures which can be attributed to the different knowledge-generating paradigms that drive innovation systems. The changes in the slopes between the waves can be used to indicate efficiencies in the generation of knowledge. When knowledge-generating systems are associated with idem innovation systems, the efficiency of the latter can be modeled in terms of interactions among dimensions (for example, in terms of university-industry-government relations). The resulting model predicts an increase in efficiency with an increasing number of dimensions due to the effects of self-organization among them. The dynamics of the knowledge-generating cycles can be analyzed in terms of Fibonacci numbers; successive cycles are expected to exhibit shorter life cycles than previous ones. This perspective enables us to forecast the expected dates of future paradigm changes.

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Regional Innovation Systems

Cited by 257 publications

References 0 publications

The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)

The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)

Theories of Local Economic Growth (Part 1): Concepts, Models, and Measurement

Knowledge-generating efficiency in innovation systems: The acceleration of technological paradigm changes with increasing complexity

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