Do innovation and human capital actually narrow the technology gap? Champions and laggards of European regional productive performance

2021 ◽  
pp. 1-16
Author(s):  
Martijn J. Burger ◽  
Kostas Kounetas ◽  
Oreste Napolitano ◽  
Spyridon Stavropoulos
2013 ◽  
Vol 62 (1) ◽  
Author(s):  
Peter H. Egger ◽  
Maximilian von Ehrlich

AbstractIn this paper we summarize recent research on the effects of European regional policy. Results point to a positive effect of this policy on average. One Euro spent even tends to generate more than one Euro in return in terms of GDP. However, the response varies drastically across recipient regions. First of all, there is evidence of existence of an optimum funding ratio (funds allocated relative to recipient GDP) where one Euro invested generates one Euro of return. About 36 percent of the regions receive higher funding than that, where one Euro generates less than one Euro of return (and, eventually, no return at all). Second, there is evidence of a bigger return on investment in regions with higher absorptive capacity level - measured by human capital endowments and the quality of recipient institutions. Insufficient levels of absorptive capacity lead to a wash of the Union’s transfers. About 70 percent of the regions exhibit such an insufficient level of absorptive capacity.


2012 ◽  
pp. 933-946
Author(s):  
Qiong He

By introducing nonlinear technology gap into Jones (1995b), this chapter constructs an R&D non-scale growth model that includes endogenous human capital and technological progress. The goal is to take the model’s implications to the data to explaining the Chinese economic development experiences at period 1979-2004. Our model suggests that the technology gap has the block neck effect on the economic development. The market competitive equilibrium solution shows that R&D and technology spillover can enhance the steady state growth rate. The mode’s transitional dynamics is also analyzed on the effects of human capital, capital, technological progress and intersectional labor movements on economic growth, technological progress has the most effect on the economic development, and more human capital shift into R&D sector from final goods sector.


2020 ◽  
Vol 12 (5) ◽  
pp. 1808 ◽  
Author(s):  
Arkadiusz Kijek ◽  
Tomasz Kijek

The aim of the paper is to study the impact of human capital and R&D on Total Factor Productivity (TFP) from a nonlinear perspective. In the spirit of the theory of innovation-driven growth and models with thresholds in human capital and low-growth equilibria, we hypothesize that the impact of human capital and R&D on TFP is nonlinear. We also make an attempt to explain complementarities between R&D expenditures and human capital, applying developments in the R&D-based growth models. We use spatial panel data models to estimate the link among R&D, human capital, and TFP across the European regions between 2009 and 2014. Empirical evidence shows that there are decreasing returns to human capital and R&D in the European regional space. Moreover, R&D and human capital turn out to be strategic complements. Finally, regional TFP is found to be positively affected by TFP of neighboring regions.


Author(s):  
Qiong He

By introducing nonlinear technology gap into Jones (1995b), this chapter constructs an R&D non-scale growth model that includes endogenous human capital and technological progress. The goal is to take the model’s implications to the data to explaining the Chinese economic development experiences at period 1979-2004. Our model suggests that the technology gap has the block neck effect on the economic development. The market competitive equilibrium solution shows that R&D and technology spillover can enhance the steady state growth rate. The mode’s transitional dynamics is also analyzed on the effects of human capital, capital, technological progress and intersectional labor movements on economic growth, technological progress has the most effect on the economic development, and more human capital shift into R&D sector from final goods sector.


2007 ◽  
Author(s):  
R. Rajaram
Keyword(s):  

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