Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions
The production of scientific and technical knowledge is mostly concentrated in specific locations (high-tech clusters, innovative industry agglomerations, centres of excellence, and technologically advanced regions). Knowledge flows very easily within regions; however, scientific and technical knowl...
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| Veröffentlicht in: | The Annals of regional science 2014-09, Vol.53 (2), p.453-485 |
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| creator | Maggioni, Mario A. Uberti, Teodora Erika Nosvelli, Mario |
| description | The production of scientific and technical knowledge is mostly concentrated in specific locations (high-tech clusters, innovative industry agglomerations, centres of excellence, and technologically advanced regions). Knowledge flows very easily within regions; however, scientific and technical knowledge also flow between regions. The aim of this paper was to analyse how knowledge flows between regions, and the effect of these flows on the innovative performance, measured by patent applications. We estimate a regional knowledge production function, and, using appropriate spatial econometric estimation techniques, we test the effect of both geographical and relational autocorrelation (measured by participation in EU funded research networks as part of Fifth Framework Programme). We model unobservable structure and link value of knowledge flows in these joint research networks. We find that knowledge flows within inter-regional research networks, along non-symmetrical and hierarchical structures in which the knowledge produced by network participants tends to be exploited by the network coordinator. |
| doi_str_mv | 10.1007/s00168-014-0618-0 |
| format | Article |
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We estimate a regional knowledge production function, and, using appropriate spatial econometric estimation techniques, we test the effect of both geographical and relational autocorrelation (measured by participation in EU funded research networks as part of Fifth Framework Programme). We model unobservable structure and link value of knowledge flows in these joint research networks. 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We model unobservable structure and link value of knowledge flows in these joint research networks. We find that knowledge flows within inter-regional research networks, along non-symmetrical and hierarchical structures in which the knowledge produced by network participants tends to be exploited by the network coordinator.</description><subject>Agglomeration</subject><subject>Analysis</subject><subject>Autocorrelation</subject><subject>Clusters</subject><subject>Econometrics</subject><subject>Economic performance</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Environmental Economics</subject><subject>Estimates</subject><subject>Estimation</subject><subject>Europe</subject><subject>European Union</subject><subject>Geography</subject><subject>Hierarchy</subject><subject>Innovation</subject><subject>Innovations</subject><subject>Knowledge</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Microeconomics</subject><subject>Networks</subject><subject>Patent applications</subject><subject>Production functions</subject><subject>Regional</subject><subject>Regional/Spatial Science</subject><subject>Regions</subject><subject>Research centers</subject><subject>Science</subject><subject>Special Issue Paper</subject><subject>Studies</subject><issn>0570-1864</issn><issn>1432-0592</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1P3DAQhi1EJRbaH8DNEhcuaWf8EccnVNEtRUXqpT1bjjNZgrL21s6C-PdNtBwQUiVOM4fneTWal7FzhM8IYL4UAKybClBVUOO8HLEVKikq0FYcsxVoAxU2tTphp6U8wOxIxBVrvyUqfIgTxWlI0Y98Sz7y-4Gyz-F-CH684j9jehqp2xDvx_RUuI_drMT06KfhkfiOcp_y1sdAPPV8vc9pt4Rk2syR5SP70Pux0KeXecb-fF__vv5R3f26ub3-elcFre1UKVAyBKF0UzdSdC1q22vTdkZQS0p2QarWWtQKAgaN1ntp2yB1C8L4FkCesctD7i6nv3sqk9sOJdA4-khpXxzWSkiwwtbvQKVStTBoZvTiDfqQ9nl-1EIJNAYbtVB4oEJOpWTq3S4PW5-fHYJbCnKHgtxckFsKcsu94uCUmY0byq-S_yv9A3JpknU</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Maggioni, Mario A.</creator><creator>Uberti, Teodora Erika</creator><creator>Nosvelli, Mario</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M2L</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20140901</creationdate><title>Does intentional mean hierarchical? 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We estimate a regional knowledge production function, and, using appropriate spatial econometric estimation techniques, we test the effect of both geographical and relational autocorrelation (measured by participation in EU funded research networks as part of Fifth Framework Programme). We model unobservable structure and link value of knowledge flows in these joint research networks. We find that knowledge flows within inter-regional research networks, along non-symmetrical and hierarchical structures in which the knowledge produced by network participants tends to be exploited by the network coordinator.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00168-014-0618-0</doi><tpages>33</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | The Annals of regional science, 2014-09, Vol.53 (2), p.453-485 |
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| source | PAIS Index; Business Source Complete; SpringerLink Journals - AutoHoldings |
| subjects | Agglomeration Analysis Autocorrelation Clusters Econometrics Economic performance Economics Economics and Finance Environmental Economics Estimates Estimation Europe European Union Geography Hierarchy Innovation Innovations Knowledge Landscape/Regional and Urban Planning Microeconomics Networks Patent applications Production functions Regional Regional/Spatial Science Regions Research centers Science Special Issue Paper Studies |
| title | Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions |
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