| 000 | 01625nab a2200241 4500 | ||
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_c10719 _d10719 |
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| 003 | OSt | ||
| 005 | 20201105114125.0 | ||
| 007 | cr aa aaaaa | ||
| 008 | 201105b ||||| |||| 00| 0 eng d | ||
| 100 |
_aFang, Li _931896 |
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| 245 | _aManufacturing Clusters and Firm Innovation | ||
| 260 |
_bSage, _c2019. |
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| 300 | _aVol 33, Issue 1, 2019;( 6-18 p.) | ||
| 520 | _aThis study examines how much different manufacturing clusters encourage per-establishment innovation measured by citation-weighted patent applications, and at which geographical scales they boost patent filings by the greatest magnitude. Using establishment and patent application data for the state of Maryland, 2004-2013, this study finds that the Metalworking Technology cluster, formed at 3 miles in radius, encourages innovation the most: The number of citation-weighted patent applications for firms in the cluster is 17.6% higher than that outside of the cluster. Food Processing and Manufacturing and Automotive clusters follow, at 1 and 2 mile(s) in radius, with an effect of 8.5% and 5.5%, respectively. A complete ranking of 20 manufacturing clusters is delivered. A description of how policy makers may use this ranking to target specific manufacturing clusters for economic development is included. | ||
| 650 |
_amanufacturing industries, _931864 |
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| 650 |
_a innovation, _931897 |
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| 650 |
_aclusters, _931898 |
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| 650 |
_aspatial scale, _931899 |
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| 650 |
_a Maryland _931900 |
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| 773 | 0 |
_010589 _915392 _dSage Publisher _tEconomic development quarterly |
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| 856 | _uhttps://doi.org/10.1177/0891242418800770 | ||
| 942 |
_2ddc _cART |
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