The two faces of human capital and their effect on technological progress

Abstract

The aim of the paper is to investigate the effect of a new international estimate of human capital on the process of innovation and technology catch-up in developed countries. The new human capital variable is a measure of average human capital efficiency per hour worked that considers the role of both the quantity and quality of education. Our methodology is based on the framework proposed by Jess Benhabib and Mark A. Spiegel (2005) that uses a logistic function of technology diffusion. The analysis employs panel econometrics and tackles the endogeneity bias. Empirical results show robust evidence of the significance of this human capital variable as a driver of innovation and diffusion. The effects of cognitive skills on technological progress are higher the closer the economies are to the technology frontier. Furthermore, as technological progress has been measured using the improved total factor productivity (TFP) variables built in Penn World Table (PWT) 8.0, we confirm the existence of social returns to human capital.

Keywords

• human capital
• innovation
• technology diffusion
• TFP growth