Pinto, Hugo (2010): Knowledge Production in European Union: Evidence from a National Level Panel Data.
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The knowledge production function framework is used to understand how territories transform specific inputs into knowledge outputs. This article focuses knowledge production function estimation at European Union with twenty five member-states using a data panel analysis between 1999 and 2003. The importance of different variables in knowledge production is tested. The econometric results give relevant insights for EU decision-makers and the creation of a more integrated European Research Area and innovation cooperation within Europe.
|Item Type:||MPRA Paper|
|Original Title:||Knowledge Production in European Union: Evidence from a National Level Panel Data|
|English Title:||Knowledge production in European Union: Evidence from a national level panel data|
|Keywords:||Knowledge Production Function; Panel Data; European Union|
|Subjects:||C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables
O - Economic Development, Technological Change, and Growth > O3 - Technological Change; Research and Development; Intellectual Property Rights
|Depositing User:||H Pinto|
|Date Deposited:||07. Dec 2010 20:30|
|Last Modified:||14. Feb 2013 04:31|
Amable, B. and Lung, Y. (2008) The European Socio-Economic Models of a Knowledge-based society. Main findings and conclusion. Cahiers du GREThA 2008-26. Groupe de Recherche en Economie Théorique et Appliquée.
Baltagi, H. B. (2001) Econometric Analysis of Panel Data, Second Edition, New York, John Wiley & Sons LTD.
Boschma, R. (2005) Proximity and Innovation: A Critical Assessment, Regional Studies, 39, pp. 61-74.
Cohen, W. and Levinthal, D. (1990) Absorptive Capacity: A New Perspective on Learning and Innovation, Administrative Science Quarterly, 35, pp. 128-152.
European Commission (2006) European Regional Innovation Scoreboard 2006, Report prepared by Hugo Hollanders, MERIT – Maastricht Economic and social Research and training centre on Innovation and Technology.
Godin, B. (2005) Measurement and Statistics on Science and Technology: 1920 to the Present, London: Routledge.
Griliches, Z. (1979) Issues in Assessing the Contribution of Research and Development to Productivity Growth, Bell Journal of Economics, The RAND Corporation, 10, pp. 92-116.
Hancké, B. (2009) Introducing the Debate, in Hancké, B. (2009) (Ed.) Debating the Varieties of Capitalism – A Reader, Oxford: Oxford University Press.
Hausman, J.A. (1978) Specification Tests in Econometrics, Econometrica, 46 (6), pp. 1251–1271.
Hendry, D.F. (1979) Predictive failure and econometric modelling in macroeconomics: The transactions demand for money. In P Ormerod, (ed.) Economic Modelling. Heinemann, London.
Jaffe, A. (1989) Real effects of academic research, American Economic Review, 79, pp. 957-970.
Paci, R. and Usai, S. (2009) Knowledge flows across European regions, The Annals of Regional Science, 43, pp. 669-690.
Pinto, H. and Rodrigues, P. (2010) Knowledge Production in European Regions: The Impact of Regional Strategies and Regionalization on Innovation, European Planning Studies, Vol.19, N.10. pp. 1731-1748.
Torre, A. and Rallet, A. (2005) Proximity and Localization, Regional Studies, 39, pp. 47-59.
WIPO (2008) World Patent Report – A Statistical Review, 2008 Edition, WIPO Publication No. 931(E), World Intellectual Property Organization.
Woolridge, J. M. (2006) Introdução à Econometria: uma abordagem moderna [Introduction to Econometrics: A modern approach]. Tradução de Rogério Cezar de Souza, Revisão Técnica de Nelson Carvalheiro, São Paulo, Pioneira Thomson Learning.