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Erschienen in:
Knowledge as a Driver of Technological Change and Regional Growth Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

5. Localized Knowledge Spillovers, Agglomeration Externalities, and Technological Dynamics in High-Tech Industries. Evidence Based on the EU Regions

verfasst von : Małgorzata Runiewicz-Wardyn

Erschienen in: Knowledge Flows, Technological Change and Regional Growth in the European Union

Verlag: Springer International Publishing

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Abstract

This chapter raises the question of whether or not and to what extent the structure of industrial activity generates externalities that influence a given region’s innovative activity in high-tech industries. The previous chapter has shown that for the high-tech sector, a home region’s knowledge sourcing is very important along with university-industry collaboration. Apart from the universities’ role in R&D and knowledge diffusion, the home region’s productive system has a crucial influence on regional innovative potential as a whole. Furthermore, firms and R&D institutions are not isolated in their innovation activities but are highly dependent on their external business environment at the sector and regional levels. Therefore, the following chapter tries to take into account the overall productive structure and dynamic externalities in order to analyze a region’s potential for innovation activity and technological change.

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Vorheriges Kapitel The Role of Intra-, Inter-, and Extra-Regional Sources of Knowledge Spillovers. The Evidence of High-Tech Industries
Nächstes Kapitel Knowledge Spillovers, Technological Change, and Regional Growth. Empirical Evidence of the EU Regions
Fußnoten
1
Clustering of economic activities may also lead to negative externalities such as congestion and pollution that can offset the positive economic outcome of the clusters.
 
2
The empirical analysis is conducted for the NUTS 2 regions of 17 Western European countries (EU-15 plus Norway and Switzerland). However, NUTS 1 regions have also been considered for the UK, and NUTS 0 for Denmark and Switzerland, due to data constraints.
 
3
Greatest Engineering Achievements of the twentieth Century, www.​greatachievement​s.​org/​greatachievement​s
 
4
In a 1981 study, David Mowery and Nathan Rosenberg have argued that rapid diffusion of technological innovations in the U. S. commercial aircraft industry to U. S. airlines during the mid-twentieth century was due partly to actions of regulatory agencies, http://​elsa.​berkeley.​edu/​~bhhall/​papers/​HallKhan03%20​diffusion.​pdf.
 
5
The agreement on the timetable for full liberalization included transitional periods for certain Member States. As a result of a case-by-case assessment by the Commission, the following periods have been confirmed: Luxembourg fully liberalized its market from July 1998; Spain from December 1998, Ireland and Portugal from January 2000, and Greece from January 2001. For Member States joining the EU in 2004 and 2007, the liberalization process was completed at a later date.
 
6
Including the two latest Member States, Bulgaria and Romania.
 
7
More widespread in metropolitan areas than in rural regions.
 
8
The Internet has already had a strong effect on the financial services, telecoms media, and government (eGovernment services, etc.), and has an even greater impact on the coordination and integration of all manufacturing operations across different geographies e.g. through Internet-enabled supply chains, eCommerce and eBusiness applications (Gaffard and Krafft 2000).
 
9
Bioinformatics is a branch of biotechnology that uses information technologies to work with biological data like DNA. http://​www.​careercornerston​e.​org/​industries/​sciresearch.​htm
 
10
Semiconductors are classified into major product groups, mainly according to their function. The largest product group is memory chips, which account for about one third of the total semiconductor market. The second-largest semiconductor product group are micro components, which consist mainly of microprocessors and micro controllers. The remaining part of the semiconductor market is made up of logic devices (including application-specific integrated circuits or ASICs), analogue devices, and other parts (Gruber 1994).
 
11
Still, this is not to say that biotechnology patenting outside the OECD did not experience significant growth. In fact, in the BRIC economies, as well as a number of other Asian and Latin American ‘tigers,’ biotechnology patenting increased substantially over the same time period.
 
13
This robustness of the Poisson QMLE is a special case of the more explicit analysis of quasi-maximum likelihood estimation in the linear exponential family by Gourieroux, Monfort, and Trognon (1984).
 
14
The application of this measure is in line with Glaeser et al. (1992), who consider the number of firms per worker as a proxy for competition. Glaeser et al. (1992) reason that a value greater than 1 can be interpreted that the industry on a site is locally more competitive than it would be on a site elsewhere.
 
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Metadaten
Titel
Localized Knowledge Spillovers, Agglomeration Externalities, and Technological Dynamics in High-Tech Industries. Evidence Based on the EU Regions
verfasst von
Małgorzata Runiewicz-Wardyn
Copyright-Jahr
2013
Verlag
Springer International Publishing
Buch
Knowledge Flows, Technological Change and Regional Growth in the European Union

Print ISBN: 978-3-319-00341-2

Electronic ISBN: 978-3-319-00342-9

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-319-00342-9_5