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Regional innovation systems in Hungary: the failing synergy at the national level

[journal article]

Lengyel, Balázs
Leydesdorff, Loet

Abstract

In this paper we use entropy statistics to measure the synergies of knowledge exploration, knowledge exploitation, and organizational control in Hungary. We categorized the firms in terms of sub-regions, industrial sectors, and firm size. Configurational information among these distributions is the... view more

In this paper we use entropy statistics to measure the synergies of knowledge exploration, knowledge exploitation, and organizational control in Hungary. We categorized the firms in terms of sub-regions, industrial sectors, and firm size. Configurational information among these distributions is the indicator of the synergy in the system. The results indicate that three regimes were generated in the Hungarian transition period with different dynamics: Budapest emerges as a knowledge-based innovation system; in the north-western regions, foreign-owned companies have induced a shift in knowledge-organization; while the system is organized in the southern-eastern regions in accordance with government expenditures.... view less

Classification
Area Development Planning, Regional Research
Political Economy

Free Keywords
innovation system; knowledge function synergy; configurational information; entropy statistics; transition economy; regions; B52; O18; P25; R12

Document language
English

Publication Year
2010

Page/Pages
p. 677-693

Journal
Regional Studies, 45 (2010) 5

DOI
https://doi.org/10.1080/00343401003614274

Status
Postprint; peer reviewed

Licence
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.