Technology proximity between firms and universities and technology transfer

Woerter, Martin

doi:10.1007/s10961-011-9207-x

Cited by 35 publications

(26 citation statements)

References 47 publications

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“…the 'triple helix' approach in which it catalyzes the effective interaction for innovation between the government and the business sector or the society as a whole (Etzkowitz and Leydersdorff, 2000;Breznitz and Feldman, 2013). According to several authors (Woerter, 2012;Bozeman et al, 2013;Fukugawa, 2013;Hewitt-Dundas, 2013), the university is expected to act as an agent that both interacts voluntarily and directly with companies at the same time that it also generates knowledge spillovers that are indirectly captured by those and other agents (i.e., small firms) (Audretsch, 2013).…”

Section: Sti and Dui Learning Modesmentioning

confidence: 99%

“…We introduce additional hypotheses to capture the effect on innovation of firmuniversity partnerships, echoing the findings of an important research stream on the meaningful role of universities for fostering innovation (Etzkowitz and Leydersdorff, 2000;Woerter, 2012;Bozeman et al, 2013;Breznitz and Feldman, 2013;Fukugawa, 2013). Specifically, the role of the university is analyzed in depth within the STI type of collaborations developed by firms (as opposed to other innovation agents such as technology centers and research excellence centers).…”

Section: Hypothesis 1bmentioning

confidence: 99%

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STI–DUI learning modes, firm–university collaboration and innovation

2014

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In this study, the relationship between the use of collaborative agreements and the firm's innovation output is examined. Firms may innovate using partnerships linked to a "science and technology-based" (STI) mode of learning, as well as partnerships linked to a "learning-by-doing, by-using and by-interacting-based' (DUI) mode of learning. Within this view, universities are important STI partners that provide flows of science and technology driven knowledge leading to innovation. A fixed-effects logit estimation is applied on an extensive panel of Spanish manufacturing and service firms to analyze the separate and combined impact of collaborative agreements associated to STI and/or DUI modes of learning, with a special emphasis on the role of partnerships with universities. Even though STI and DUI partnerships are both important for product and process innovations, the results demonstrate that different types of collaboration are related to different types of innovation. While product innovation benefits more from the combination of DUI and STI partnerships, process innovation is more closely related to DUI partnerships. Apart from that, collaborations with universities, in combination with DUI partners, leads to a higher likelihood of product innovation. In contrast, process innovations are less dependent on collaborations with universities than on collaborations with other STI partners.

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Section: Sti and Dui Learning Modesmentioning

confidence: 99%

Section: Hypothesis 1bmentioning

confidence: 99%

STI–DUI learning modes, firm–university collaboration and innovation

2014

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“…Although geographical proximity tends to contribute to better links between the players located in a given environment (Knoben and Oerlemans 2006;Carboni 2013), the quality of these ties depends on several other indicators, such as the type of sector (Woerter 2012) and the size of the firm. Following Storper's (1997, p. 27) ''Holy Trinity'' of relations among geography, technology, and organization-we distinguish these three dimensions (Edquist 1997).…”

Section: Datamentioning

confidence: 99%

Measuring the expected synergy in Spanish regional and national systems of innovation

Leydesdorff

Gómez

2017

J Technol Transf

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This paper examines the effect of synergy at the geographical, technological, and organizational levels on the structure of the innovative system in Spain. Using a unique dataset of more than one million firms in 2010 across geographic regions in Spain, it empirically estimates the synergy within and across regions and sectors. The key findings indicate that Spain's innovation system is largely decentralized into more regionalized systems with the strongest role played by the metropolitan areas. The results have policy implications for Spain as well as other nations and intra-country regions. The paper contributes to the extant literature related to innovation systems in three ways: first, by using a more novel approach adapting the triple helix context; second, by providing empirical evidence on the importance of synergy in influencing the structure of a national innovation system; and third, by providing a case study of Spain.

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“…For instance, collaboration with competitors may be less persistent because the fear of helping a rival and the lack of trust may cause this strategy to cease, given the increased risk of opportunistic behaviour (Nieto and Santamaría, 2007). In contrast, cooperation with universities and research institutes allows low-risk access to specialist knowledge so that it would be easier to find long-term strategic research collaboration with such institutions (Archibugi and Coco, 2004;Veugelers and Cassiman, 2005;Arranz and Arroyabe, 2008;Woerter, 2012).…”

Section: Persistence With Different Types Of Cooperative Partners Andmentioning

confidence: 99%

“…This higher stability for the case of technological cooperation with research institutions and universities can be related to the fact that firms that engage in such alliances do not look for merely short-term alliances but more for a way to carry out a long-term innovation strategy. Indeed, institutional cooperation allows low-risk access to specialist knowledge that is generally focused on basic R&D, so that it is sensible to find longer-term strategic alliances (Arranz and Arroyabe, 2008;Woerter, 2012).…”

Section: Descriptive Analysismentioning

confidence: 99%

Are Collaborative Agreements in Innovation Activities Persistent at the Firm Level? Empirical Evidence for the Spanish Case

Badillo

Moreno

2015

Rev Ind Organ

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We provide evidence on the dynamics in firms' cooperation behaviour in innovation activities. Our main objective is to analyse if collaborative agreements are persistent at the firm level; and, in such a case, to study what are the main drivers of this phenomenon. We also study to what extent such persistence is different from persistence in R&D, so that the former exists on top of the latter. Finally, we deal with the differentiated persistence pattern of collaboration agreements for different types of partners, as well as the possibility of finding persistence across them. We follow a dynamic approach in the analysis of cooperation persistence: We take into account the unobserved individual heterogeneity and address the initial conditions problem. We use a representative sample of Spanish firms for the period 2002-2010.Keywords: Cooperation in innovation; Innovative Spanish firms; Persistence; Technological partners JEL classification: L24; O32; D22; C23 3 IntroductionEmpirical contributions to the study of cooperation in innovation have expanded significantly in the last decades (Tether, 2002;Miotti and Sachwald, 2003;López, 2008;Abramovsky et al., 2009 We follow a dynamic approach in the analysis of cooperation persistence: We take into account unobserved individual heterogeneity and address the initial conditions problem for a sample of Spanish firms in the period 2002-2010. On average, we find that a firm that cooperates in t-1 has a probability of cooperating in t that is around 33 percentage points higher than that of a firm that did not cooperate in the previous period. We also show that such persistence is genuine in the sense that it is beyond the persistence that is observed in R&D. While the highest persistence is found in the case of vertical collaboration, we also observe that cooperation agreements with research-based agents increase the likelihood of cooperating in the future with a different type of partner.After this introduction, Section 2 proceeds with the literature review. Section 3 describes the database that is used, and Section 4 presents the empirical model. In Section 5 we present and discuss our results; and the main conclusions of the paper are presented in Section 6. Literature review and hypothesis Persistence in cooperation in innovation activitiesThe degree of cooperation persistence of a firm could be defined as the positive impact of past collaborations on present cooperation agreements. In principle, there are several potential sources for persistent behaviour (Heckman, 1981a). First, it might be caused by true state dependence: The decision to innovate through cooperation in one period in itself enhances the 5 probability to cooperate in the subsequent period. Second, firms may have some specific characteristics that make them prone to cooperate. To the extent that these characteristics persist over time, they will inevitably induce persistence in cooperation agreements as well.Such features can be classified into observable attributes, such as firm size or a firm's ...

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Technology proximity between firms and universities and technology transfer

Cited by 35 publications

References 47 publications

STI–DUI learning modes, firm–university collaboration and innovation

STI–DUI learning modes, firm–university collaboration and innovation

Measuring the expected synergy in Spanish regional and national systems of innovation

Are Collaborative Agreements in Innovation Activities Persistent at the Firm Level? Empirical Evidence for the Spanish Case

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