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Nonlinear Effects of Human Capital and R&D on TFP: Evidence from European Regions

descriptionPublicationkeyboard_double_arrow_right Article , Journal 28 Feb 2020Publisher:MDPI AGJournal:Sustainability, volume 12, page 1,808 (eissn: 2071-1050,

Authors: Arkadiusz Kijek; Tomasz Kijek;

doi: 10.3390/su12051808

Nonlinear Effects of Human Capital and R&D on TFP: Evidence from European Regions

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Abstract

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.

Related Organizations

Maria Curie-Skłodowska University
Poland
Maria Curie-Skłodowska University
Poland

Keywords

r&amp, Environmental effects of industries and plants, TJ807-830, TD194-195, Renewable energy sources, tfp, Environmental sciences, d, regions, human capital, GE1-350

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%