Science and Technology Parks and cooperation for innovation: Empirical evidence from Spain

Vásquez-Urriago, Ángela Rocío; Barge‐Gil, Andrés; Rico, Aurelia Modrego

doi:10.1016/j.respol.2015.07.006

Cited by 125 publications

(91 citation statements)

References 49 publications

(18 reference statements)

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“…We can find also similar results when it comes to the STPs literature. Vásquez-Urriago et al [86] analyzed previous studies on STPs which show that the location in a park promotes cooperation for innovation. They demonstrated that STPs are important for fostering innovation cooperation.…”

Section: Clusters and Stpsmentioning

confidence: 99%

Determinants of Innovation Cooperation Performance: What Do We Know and What Should We Know?

2018

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The involvement of firms in innovation cooperation with different partners has become a widespread phenomenon in the contemporary business landscape. Our paper provides a review of extant alliance, innovation, open innovation and inter-firm collaboration literature and organizes it based on a conceptual framework featuring three levels of analysis: (a) the dyadic level, (b) the network level, and (c) the location level. The article identifies roadmaps in each of these areas and also highlights existing gaps in the present understanding of innovation cooperation. Thereby, it outlines a research agenda by identifying key research questions and issues in the areas where further research is needed and encouraged.Sustainability 2018, 10, 4517 3 of 32 changes that create the economic space of a given country [29] In this space, which Freeman called the National Innovation System, there are more or less formalized networks of cooperating companies and institutions. Indeed, as Fomina et al. [30] argue, the stability of economic development is determined by the features of the network structure in a collaborative engagement of enterprises. Therefore, it is legitimate to explore whether and how the location of companies and other institutions influence their cooperation for the development of innovation, and the performance outcomes thereof.Economic geography has developed the concept of proximity to explain the formation of networks and clusters of innovative companies in industrial districts [31,32]. The different dimensions of proximity may explain some of the positive externalities, such as knowledge creation and transfer, as well as innovation, which are generated by companies that are co-located [33]. According to Boschma [34], proximity implies similarity between actors and organizations, including both a geographical or spatial dimension and other non-spatial dimensions. Knoben and Oerlemans [35] note that "the concept of proximity has been used in many different ways in the literature, this including different measures and definitions".Boschma [34] identifies five types of proximity:

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Section: Clusters and Stpsmentioning

confidence: 99%

Determinants of Innovation Cooperation Performance: What Do We Know and What Should We Know?

2018

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“…[ 84,85] Classical market logic Competition under clear rules; profit maximization; cost reduction; free enterprise; individualism; short-termism. Control of data is a source of competitive advantage.…”

Section: Innovation Logicmentioning

confidence: 99%

Smart Cities as Organizational Fields: A Framework for Mapping Sustainability-Enabling Configurations

2017

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Despite the impressive growth of smart city initiatives worldwide, an organizational theory of smart city has yet to be developed, and we lack models addressing the unprecedented organizational and management challenges that emerge in smart city contexts. Traditional models are often of little use, because smart cities pursue different goals than traditional organizations, are based on networked, cross-boundary activity systems, rely on distributed innovation processes, and imply adaptive policy-making. Complex combinations of factors may lead to vicious or virtuous cycles in smart city initiatives, but we know very little about how these factors may be identified and mapped. Based on an inductive study of a set of primary and secondary sources, we develop a framework for the configurational analysis of smart cities viewed as place-specific organizational fields. This framework identifies five key dimensions in the configurations of smart city fields; these five dimensions are mapped through five sub-frameworks, which can be used both separately as well as for an integrated analysis. Our contribution is conceived to support longitudinal studies, natural experiments and comparative analyses on smart city fields, and to improve our understanding of how different combinations of factors affect the capability of smart innovations to translate into city resilience, sustainability and quality of life. In addition, our results suggest that new forms of place-based entrepreneurship constitute the engine that allows for the dynamic collaboration between government, citizens and research centers in successful smart city organizational fields.

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“…On the other hand, for the province-level HIDZ who intends to apply for state-level upgrade in China, except for the economic performance and development potential, the scientific research level of the local higher education institutions should also be included in the evaluation criterion of the upgrade qualification. Thus, in order to upgrade the province-level HIDZ, the local governments would be motivated to raise the scientific research level of higher education institutions in the cities, and this will help to achieve a virtuous cycle of regional innovation and development [35].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Does State-level Upgrade of High-tech Zones Promote Urban Innovation Efficiency: Evidence from China

Wang

Yang

Zhao³

et al. 2019

Sustainability

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Among China’s existing state-level High-tech Industry Development Zones (HIDZ), the number of upgraded ones account for more than 65%, which are supposed to fulfill the important mission of leading innovation. However, while the upgraded state-level HIDZ enjoy more opportunities than before, they also face major challenges such as the significant inter-generational differences between them and the born state-level HIDZ. Based on the panel data of Chinese (prefecture-level) cities from 2007 to 2015, the paper empirically examines the impact of the state-level upgrade of HIDZ on urban innovation efficiency by using a difference-in-differences propensity score matching approach (PSM-DID). The results show that the upgraded state-level HIDZ has significantly improved urban innovation efficiency, and this positive effect has gradually increased with the implementation of the upgrade policy. The further heterogeneity analysis shows that the higher the scientific research level of higher education institutions in the cities, the greater the promotion effect of the state-level upgrade. The paper evaluates the policy effect of the upgraded state-level HIDZ from their stated mission, which is a powerful complement to the existing research and provides more effective guidance for policy-makers.

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Science and Technology Parks and cooperation for innovation: Empirical evidence from Spain

Cited by 125 publications

References 49 publications

Determinants of Innovation Cooperation Performance: What Do We Know and What Should We Know?

Determinants of Innovation Cooperation Performance: What Do We Know and What Should We Know?

Smart Cities as Organizational Fields: A Framework for Mapping Sustainability-Enabling Configurations

Does State-level Upgrade of High-tech Zones Promote Urban Innovation Efficiency: Evidence from China

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