Are Innovation Networks Bounded by Proximity?

Echeverri‐Carroll, Elsie L.; Brennan, William J.

doi:10.1007/978-3-642-58524-1_3

Cited by 33 publications

(20 citation statements)

References 26 publications

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“…Our empirical results suggest that both static and dynamic externalities play a role, with a larger role for dynamic than static, consistent with results found by Echeverri-Carroll and Brennan (1999).…”

Section: Table 5 About Heresupporting

confidence: 90%

Estimates of the Impact of Static and Dynamic Knowledge Spillovers on Regional Factor Productivity

LeSage

Fischer

2011

International Regional Science Review

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The authors develop an empirical approach to examine static and dynamic knowledge externalities in the context of a regional total factor productivity (TFP) relationship. Static externalities refer to current period scale or industry-size effects that have been labeled localization externalities or region-size effects known as agglomeration externalities. Dynamic externalities refer to the relationship between accumulated or prior period knowledge and current levels of innovation, where past learning-by-doing makes innovation positively related to cumulative production over time. The empirical specification allows for the presence of both static and dynamic externalities and provides a way to assess the relative magnitude of spillovers associated with spillovers from these two types of knowledge externalities. The magnitude of own-region impacts and other-region (spillovers) can be assessed using scalar summary measures of the own- and cross-partial derivatives from the model. The authors find evidence supporting the presence of dynamic externalities as well as static, and the estimates suggest that dynamic externalities may have a larger magnitude of impact than static externalities.

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Section: Table 5 About Heresupporting

confidence: 90%

Estimates of the Impact of Static and Dynamic Knowledge Spillovers on Regional Factor Productivity

LeSage

Fischer

2011

International Regional Science Review

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“…They do, however, suggest that the local presence of KIBS in regional innovation systems is not a necessary condition for these systems to function. Indeed, Britton (2004) and Echeverri-Carroll and Brennan (1999), for instance, suggest that innovation systems are decreasingly spatially bounded: Particularly for specific high-order contacts, distance may not really be an obstacle. It is only lower order contacts that tend to take place locally.…”

Section: Kibs Geography and Local Economic Developmentmentioning

confidence: 98%

Urban Hierarchy or Local Buzz? High-Order Producer Service and (or) Knowledge-Intensive Business Service Location in Canada, 1991-2001

Shearmur

Doloreux

2008

RTPG

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“…If it so, one should recognize that knowledge tacitness, although being a possible explanation for co-localization, may be offset by the need establish close links with suppliers of new technologies or new customers, which may be located far away from the original network participants (Echeverri-Carroll and Brennan, 1999;Lyons, 1995).…”

Section: Global Network Of Innovators and The Time Dimension Of Spimentioning

confidence: 99%

Knowledge Spillovers and Local Innovation Systems: A Critical Survey

Breschi¹

2001

Industrial and Corporate Change

1,030

551

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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 EconStor may AbstractThe paper re-examines critically the growing literature on localized knowledge spillovers (LKSs), and finds the econometric evidence on the subject still lacking of a firm enough theoretical background, especially in respect of the more recent developments in the economics of knowledge. Therefore such evidence, and even more the concept itself of LKS, should not be read as supportive of new industrial geographers' work on industrial districts, hi-tech agglomerations and 'milieux innovateur'. Rather, they represent a threath to the necessary efforts for gaining more theoretical rigour and getting more empirical fieldwork done.1

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Are Innovation Networks Bounded by Proximity?

Cited by 33 publications

References 26 publications

Estimates of the Impact of Static and Dynamic Knowledge Spillovers on Regional Factor Productivity

Estimates of the Impact of Static and Dynamic Knowledge Spillovers on Regional Factor Productivity

Urban Hierarchy or Local Buzz? High-Order Producer Service and (or) Knowledge-Intensive Business Service Location in Canada, 1991-2001

Knowledge Spillovers and Local Innovation Systems: A Critical Survey

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