The Philosophy of European Union Law
In: The Oxford Handbook of European Union Law
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In: The Oxford Handbook of European Union Law
We analyze the role of innovation in the technological development of four new EU members: the Czech Republic, Hungary, Poland and Slovakia. For that purpose, we use a novel approach by modeling the empirical relationship between intra-industrial bilateral trade flows, which proxy the level of technological progress, and innovation expenditures within the context of a gravity model with a set of appropriate instrumental variables to account for the potential endogeneity of innovation to trade. We show that innovation efforts in high-tech industries exhibit a strong effect on the technological progress of the region and they are closely linked to foreign direct investment and multinationals. As foreign-owned subsidiaries become a part of the innovation systems and industrial structure of the host country they promote overall technological growth in the region.
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In: Studies in educational evaluation, Band 37, Heft 2-3, S. 108-122
ISSN: 0191-491X
In: Electoral Studies, Band 30, Heft 1, S. 1-3
In: Electoral studies: an international journal, Band 30, Heft 1, S. 1-4
ISSN: 0261-3794
In: The European Union and Peacebuilding, S. 313-339
In: Journal of policy modeling: JPMOD ; a social science forum of world issues, Band 31, Heft 5, S. 719-730
ISSN: 0161-8938
In: Journal of policy modeling: JPMOD ; a social science forum of world issues, Band 31, Heft 5, S. 719-731
ISSN: 0161-8938
In: Judicial Deliberations, S. 103-142
In: Environmental claims journal, Band 20, Heft 4, S. 317-321
ISSN: 1547-657X
In: The Antitrust bulletin: the journal of American and foreign antitrust and trade regulation, Band 52, Heft 3-4, S. 603-631
ISSN: 1930-7969
In: Peace research abstracts journal, Band 44, Heft 2, S. 751
ISSN: 0031-3599
In: From origin to destination: trends and mechanisms in social stratification research, S. 182-213
In: Public choice, Band 123, Heft 3-4, S. 275-319
ISSN: 1573-7101
A multinomial logit model and survey data from the 25 EU member states and the US are used to establish the effect of demographic and other variables on various entrepreneurial engagement levels. These engagement levels range from never thought about starting a business to thinking about it , taking steps for starting up , having a young business , having an older business and no longer being an entrepreneur . Data of the 2004 Entrepreneurship Flash Eurobarometer survey containing over 13,500 observations is used. Other than demographic variables such as gender, age, education level and whether parents are self-employed, the set of explanatory variables used includes country specific effects, measures of risk tolerance, internal and external locus of control and four perceptions of obstacles . The obstacle variables include the perception by respondents of administrative complexities, of availability of financial support, of accessibility of information for start-up and whether the current economic climate is favorable. Among the four perception variables only administrative complexities displays an unambiguous obstacle profile in that its presence has a significant negative impact on higher entrepreneurial engagement levels. Country effects suggest a clear underperformance of Europe relative to the US in less mature entrepreneurial phases.
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