1999
DOI: 10.1016/s0048-7333(99)00007-4
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Interdependencies between the science and technology infrastructure and innovation activities in German regions: empirical findings and policy consequences

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Cited by 100 publications
(57 citation statements)
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“…Research on the spatial academic effect on corporate innovative performance has also been carried out using data for some selected European industrialised countries (Piergiovanni et al, 1997;Blind and Grupp, 1999;Piergiovanni and Santarelli, 2001;Fischer and Varga, 2003;Barrio-Castro and Garcia-Quevedo, 2005). Although their analyses focused on different European countries and there were some technical differences, their findings generally provided further support for the existence of positive academic spillover on corporate performance.…”
Section: Related Literaturementioning
confidence: 99%
“…Research on the spatial academic effect on corporate innovative performance has also been carried out using data for some selected European industrialised countries (Piergiovanni et al, 1997;Blind and Grupp, 1999;Piergiovanni and Santarelli, 2001;Fischer and Varga, 2003;Barrio-Castro and Garcia-Quevedo, 2005). Although their analyses focused on different European countries and there were some technical differences, their findings generally provided further support for the existence of positive academic spillover on corporate performance.…”
Section: Related Literaturementioning
confidence: 99%
“…However, since the unit of investigation in these studies is the firm, activities of multi-plant firms cannot be unambiguously assigned to certain regions; thus, the spatial dimension of university R&D is not adequately accounted for. Blind and Grupp (1999) found a strong impact of universities' R&D as indicated by the number of universities' patents on private sector patenting activities in different industries with the example of two West German NUTS-1 regions (Länder). In general, the empirical evidence 4…”
mentioning
confidence: 99%
“…A large body of empirical research has found that a knowledge production function does exist in the real world and that it is a good statistical model for the study of knowledge and innovation. It has been proven by most empirical studies at the national or industry level (Anselin et al 1997;Blind and Grupp 1999;Bode 2004). The Griliches-Jaffe knowledge production function in Cobb-Douglas form can be described as follows (Equation 13.1).…”
Section: Research Methods and Datamentioning
confidence: 99%