Minerva unbound: Knowledge stocks, knowledge flows and new knowledge production

Zucker, Lynne G.; Darby, Michael R.; Furner, Jonathan; Liu, Robert C.; Ma, Hongyan

doi:10.1016/j.respol.2007.02.007

Cited by 159 publications

(57 citation statements)

References 31 publications

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“…Based on the rise of endogenous models of economic growth, the sources of regional economic growth are increasingly considered to be based on the role that the production, distribution and use of knowledge play within and across regional economies (Grossman and Helpman 1994;Harris 2001;Ibert 2007;Zucker et al 2007;Vaz and Nijkamp 2009;Antonelli et al 2011). The knowledge-based economy is generally considered to consist of the sphere and nexus of activities and resources centred on, and geared toward, innovation (Romer 2007).…”

Section: Entrepreneurship and Regional Innovationmentioning

confidence: 99%

Entrepreneurship, innovation and regional growth: a network theory

2015

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Despite the growing acknowledgement that entrepreneurship is an important driver of regional innovation and growth, the role of the networks in these processes has been less formally examined. In order to address this gap, this paper proposes that the relationship between entrepreneurship, innovation and regional growth is governed by a series of network dynamics. Drawing upon aspects of endogenous growth theory and the knowledge spillover theory of entrepreneurship, it is proposed that the nature of the networks formed by entrepreneurial firms is a key determinant of regional growth differentials. In particular, network capital, in the form of investments in strategic relations to gain access to knowledge, is considered to mediate the relationship between entrepreneurship and innovation-based regional growth. It is suggested that network dynamics should be further incorporated into theories concerning the link between knowledge spillovers, entrepreneurship and regional growth. The paper concludes with a series of theoretical, entrepreneurial and policy implications emerging from the study.

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Section: Entrepreneurship and Regional Innovationmentioning

confidence: 99%

Entrepreneurship, innovation and regional growth: a network theory

2015

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“…Such technical possibilities open new ways for the development of science, where more eyes and more brains thinking on a subject as a rule have more success than a single person in isolation, and, when working together, create more new knowledge to everyones advantage; growth of scientific knowledge is cumulative and faster (9). …”

Section: Introductionmentioning

confidence: 99%

Crystallography Open Database (COD): an open-access collection of crystal structures and platform for world-wide collaboration

Gražulis

Daškevič

Merkys

et al. 2011

Nucleic Acids Research

958

584

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Using an open-access distribution model, the Crystallography Open Database (COD, http://www.crystallography.net) collects all known ‘small molecule / small to medium sized unit cell’ crystal structures and makes them available freely on the Internet. As of today, the COD has aggregated ∼150 000 structures, offering basic search capabilities and the possibility to download the whole database, or parts thereof using a variety of standard open communication protocols. A newly developed website provides capabilities for all registered users to deposit published and so far unpublished structures as personal communications or pre-publication depositions. Such a setup enables extension of the COD database by many users simultaneously. This increases the possibilities for growth of the COD database, and is the first step towards establishing a world wide Internet-based collaborative platform dedicated to the collection and curation of structural knowledge.

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“…The third category is comprised of studies on specific sectors: Zucker et al (2007) (Nanotechnology), Stephan et al (2000) (Biotechnology), Ramani et al (2008) (Biotechnology and Food) and Pardey (1989) (Agriculture).…”

Section: (Europe / Eu)mentioning

confidence: 99%

An alternative approach towards the knowledge production function on a regional level - applications for the USA and Russia

Perret

2018

IJIRD

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe present study picks up on the aspect of knowledge generation -a key part of every national innovation system -in the context of the USA and the Russian Federation. Following Fritsch and Slavtchev (2006) a knowledge production function can be used to account for the efficiency of an innovation systems.In detail this study provides a quantile regression estimation of the knowledge production function to account for a possible non-linear relationship between knowledge inputs and knowledge output. Using regional data for researchers, expenditures on R& D and patent grants for the USA and the Russian Federation -motivated by the results of a kernel density estimation and transition matrices -a quantile regression is performed for a basic knowledge production function design; for Russia as well for an extended design.The results show that in both countries there exist groups of regions with smaller sized research systems that report significantly different dynamics and thus knowledge production functions than regions with larger sized research systems.

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Minerva unbound: Knowledge stocks, knowledge flows and new knowledge production

Cited by 159 publications

References 31 publications

Entrepreneurship, innovation and regional growth: a network theory

Entrepreneurship, innovation and regional growth: a network theory

Crystallography Open Database (COD): an open-access collection of crystal structures and platform for world-wide collaboration

An alternative approach towards the knowledge production function on a regional level - applications for the USA and Russia

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