d'Agostino, Giorgio and Scarlato, Margherita (2012): Inclusive Institutions, Innovation and Economic Growth: Estimates for European Countries.
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This paper investigates the theoretical and empirical foundations of the links between inclusive institutions, innovation and economic growth. Its first contribution to the literature is to provide a non-scale R&D-based growth model incorporating negative externalities linked to low institutional quality that not only affect the productivity of private and human capital, but also constrain the diffusion of existing technological knowledge. In turn, these negative externalities reduce economic growth. The second contribution of this paper is to run estimates for a sample of European Union countries. Empirical analysis based on pooled long- and short-run estimates confirms the importance of private capital and technology as instruments to increase economic growth in European countries and suggests the existence of a positive relationship between inclusive institutions, innovation and economic growth. The estimates also show that market failures linked to the degree of market competition and to the level of network interaction in the economic system significantly condition the influence of formal institutions on private capital, technology and GDP growth.
|Item Type:||MPRA Paper|
|Original Title:||Inclusive Institutions, Innovation and Economic Growth: Estimates for European Countries|
|Keywords:||Innovation, economic growth models, institutions and growth|
|Subjects:||O - Economic Development, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O41 - One, Two, and Multisector Growth Models
O - Economic Development, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O43 - Institutions and Growth
O - Economic Development, Technological Change, and Growth > O3 - Technological Change; Research and Development; Intellectual Property Rights > O30 - General
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C23 - Models with Panel Data; Longitudinal Data; Spatial Time Series
|Depositing User:||d'Agostino Giorgio|
|Date Deposited:||06. Dec 2012 13:48|
|Last Modified:||12. Feb 2013 16:08|
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