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Knowledge Spillovers in Regional Innovation Systems: A Case Study of CEE Regions

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ISBN-13
9783030097851
Type
NA
Publication Name
NA
ISBN
9783030097851
Book Title
Knowledge Spillovers in Regional Innovation Systems : a Case Study of Cee Regions
Book Series
Advances in Spatial Science Ser.
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Publication Year
2019
Format
Trade Paperback
Language
English
Illustrator
Yes
Author
Petr Hajek
Genre
Business & Economics
Topic
Urban & Regional, Development / Economic Development, International / General
Item Weight
16.5 Oz
Item Width
6.1 in
Number of Pages
Xvi, 286 Pages

關於產品

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030097854
ISBN-13
9783030097851
eBay Product ID (ePID)
16038666318

Product Key Features

Book Title
Knowledge Spillovers in Regional Innovation Systems : a Case Study of Cee Regions
Number of Pages
Xvi, 286 Pages
Language
English
Publication Year
2019
Topic
Urban & Regional, Development / Economic Development, International / General
Illustrator
Yes
Genre
Business & Economics
Author
Petr Hajek
Book Series
Advances in Spatial Science Ser.
Format
Trade Paperback

Dimensions

Item Weight
16.5 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Number of Volumes
1 vol.
Table Of Content
Part I: Overview.- Part II: Evaluation and Assessment of Regional Innovation Systems.- Part III: The Evolution and Dynamics of Regional Innovation Systems.- Part IV: The Economic and Social Impact of Knowledge Spillovers in Regional Innovation Systems
Synopsis
This book provides an assessment of the evolution and dynamics of regional innovation systems (RISs) and the economic and social impact of resulting knowledge spillovers, presenting comparative case studies on the regions of several Central and Eastern European (CEE) countries (Czech Republic, Poland, Hungary, Slovakia, Lithuania and Estonia). It analyses RISs on the basis of several dimensions, such as absorption capacity and intellectual capital, and using several methods such as data envelopment analysis, patent network analysis, and weighted sum approach. Further, by looking at the economic and social impact of knowledge spillovers in RISs and networking, it identifies key distinguishing factors, including foreign direct investments, still prevalent centralized decision-making, EU-driven innovation policies and public financing of innovations. Sectoral case studies, e.g. from the automobile, chemical and other hi-tech manufacturing industries, are presented to help readers understand the different types of knowledge spillovers in CEE countries and the evolution and dynamics of RISs, and provide a multifaceted overview of the CEE regions.
LC Classification Number
HT388

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