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University-related science parks - 'seedbeds' or 'enclaves' of ...

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D. Felsensteinare not fully exploited. This is because innovationis <strong>related</strong> to the seedbed environment, which ishypothesized to be an unknown quantity at theearly stages <strong>of</strong> firm development.3. Science <strong>parks</strong> as seedbedsEvidence exists suggesting that, in spatial termsat least, universities do have a seedbed effect ontheir local economies. A series <strong>of</strong> aggregateanalyses on the effects <strong>of</strong> universities on metropolitanareas <strong>or</strong> regions in the United States hasshown this effect to be wide ranging. ThusJaffe [18] has found a relationship between firminnovation rates (measured by patents) and thelevel <strong>of</strong> local university research. This suggests theexistence <strong>of</strong> technological ‘spillovers’ that benefitfirms in proximity to universities. Further evidence<strong>of</strong> this aggregate spillover effect comes from Bania,Eberts and Fogarty [19], who attribute higherlevels <strong>of</strong> .new firm f<strong>or</strong>mation rates to those placeswith concentrations <strong>of</strong> highly skilled universitylabour, and from Beeson and Montgomery [20],who suggest that this spillover effect can alsoaffect occupational composition. They show thatthe level <strong>of</strong> R&D funding at a local universityincreases the odds <strong>of</strong> being employed locally as ascientist <strong>or</strong> engineer <strong>or</strong> being employed in a localhigh-technology industry. This seedbed functionalso serves to entrench future rounds <strong>of</strong> growthas evidenced by universities’ ability to attractscientific infrastructure. F<strong>or</strong> metropolitan areas, ithas been shown that industrial R&D labs tend toconcentrate in those areas where levels <strong>of</strong> universityresearch are highest [21]. This relationship hasalso been found on the basis <strong>of</strong> case-study analysis[22].1It should be noted, however, that evidence fromoutside the US is m<strong>or</strong>e equivocal. In the case <strong>of</strong>Japan, f<strong>or</strong> example, Eto and Fujita [28] reject thehypothesis that universities are instrumental ingenerating high-tech firm growth. They find strongevidence <strong>of</strong> the self-entrenching effects <strong>of</strong> hightechgrowth and that scientific-industrial agglomerationswill tend to reproduce themselves. This can<strong>of</strong>ten take place in proximity to leading universities,although they find no real causality in this process.Similarly, Fl<strong>or</strong>ax and Folmer [29] show that, inthe case <strong>of</strong> Holland, the diffusion <strong>of</strong> knowledgeis not necessarily a function <strong>of</strong> spatial clusteringaround universities. This seems to imply littlespillover effect, in small countries at least.Overall, however, the claims f<strong>or</strong> a significantuniversity seeding effect on the local economy,with respect to innovation level, new firm startuprates, occupational composition and so on,seem to be well founded. Evidence attributing asimilar role to <strong>science</strong> <strong>parks</strong>, however, is ratherm<strong>or</strong>e mixed. In terms <strong>of</strong> new firm f<strong>or</strong>mation,Massey et al. [6] find mixed evidence f<strong>or</strong> British<strong>science</strong> <strong>parks</strong>. On the one hand, new start-upsf<strong>or</strong>m a clear min<strong>or</strong>ity (less than 30%) <strong>of</strong> firms on<strong>science</strong> <strong>parks</strong> and in much celebrated seedbeds,such as Cambridge, this figure is less than 10%.On the other hand, new start-ups on <strong>science</strong> <strong>parks</strong>have a much lower m<strong>or</strong>tality rate than that <strong>of</strong> newfirms in general (less than 2.5% a year). Thiscould however reflect a screening process f<strong>or</strong><strong>science</strong> park entry that selects only firms withgood survival chances. In the US, case studyevidence shows great variation. On the ResearchTriangle Park, f<strong>or</strong> example, over 70% <strong>of</strong> firms arepart <strong>of</strong> multi-plant <strong>or</strong>ganizations whose existencecannot be attributed to the park. The <strong>University</strong><strong>of</strong> Utah Research Park, on the other hand, haslocal, single-plant <strong>or</strong>ganizations comprising m<strong>or</strong>ethan half the park population [ll].Science park-based spin-<strong>of</strong>fs that trace their rootsto the university are another seedbed characteristic.While much attention traditionally has beenfocused on existing firms spawning new firms [30],spin-<strong>of</strong>fs emanating from a university environmenthave received much less attention [31]. Nevertheless,accounts <strong>of</strong> locally based company genealogiesnearly always put the local university <strong>or</strong> <strong>science</strong>park at the apex <strong>of</strong> any ‘family tree’ account <strong>of</strong>seedbed growth.Survey evidence from firms located on Dutchand Belgian <strong>science</strong> <strong>parks</strong> indicates that only 37%<strong>of</strong> firms in the f<strong>or</strong>mer and 16% in the latterattribute their <strong>or</strong>igins to universities [32]. In the96 Technovation Vol. 14 No. 2

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