THE RELATIONSHIP BETWEEN KNOWLEDGE CAPITAL, SPILLOVER EFFECTS AND LABOR PRODUCTIVITY

Year 2016, , 293 - 309, 25.12.2016

Mustafa Nedim Süalp Cemil Faruk Durmaz

https://doi.org/10.14780/muiibd.281415

Abstract

In growth literature the part and the variations of the growth rates unexplained by the changes in the

amount of labor and capital, named as Solow Residual, has been continuing to be one of the main

concerns. Technological advances and improvements in human capital have been the main candidates

in investigating the sources of the unexplained part of the growth phenomenon. However the channels

through which technology is transferred among countries still need more investigation. Most part of

the literature is focused on the Total Factor Productivity (TFP), the main determinants of which are

considered to be the research and development (R & D) and human capital. More recently spillover

effects as the way to transfer the technology through the import of capital and Foreign Direct Investment

(FDI) have become the central theme. Spillover effects through capital goods imports and domestic R&D

capital stock on labor productivity are empirically investigated in this study for 23 countries between

2002 and 2011. Results of panel data analysis indicated that technology transfer is significant and

positive for a large and heterogeneous sample. However, capital goods imports do not cause a knowledge

transfer from G7 economies to countries with relatively and significantly lower level of productivity.

The paper is expected to contribute the literature by using labor productivity instead of total factor

productivity when the effects of externalities are investigated in samples with different set of countries.

Keywords

Total Factor Productivity, Labor Productivity, R&D Capital, Spillover Effects

References

• XU Bin, J. W. Capital Goods Trade and R&D Spillovers in the OECD. The Canadian Journal of Economics, 1258-1274, 1999.
• VAN POTTELSBERGHE Bruno, F. L., Does Foreign Direct Investment Transfer Technology Across Borders? The Review of Economics and Statistics, 490-497, 2001.
• HELPMAN E., Coe, D. T. & Hoffmaister, W., International R&D Spillovers and Institutions. NBER Working Paper Series, 14069, 2008
• HELPMAN E., David T. Coe,., International R&D Spillovers. Working Paper International Bureau of Economic Research, 1993
• HELPMAN E., David T. Coe, International R&D Spillovers. European Economic Review, 859 – 887, 1995
• HELPMAN E., David T. Coe, North-South R&D Spillovers. The Economic Journal, 134-149, 1997
• HELPMAN E., David T. Coe, International R&D Spillovers and Institutions. IMF Working Paper, 2008
• HELPMAN E., Gene M. GROSSMAN, Quality Ladder in the Theory of Growth. The Review of Economic Studies, 43-61, 1991
• HELPMAN E., G. M., Quality Ladders in the Theory of Growth. The Review of Economic Studies, 43-61, 1991
• DRISCOLL J., A. C., Consistent covariance matrix estimation with spatially dependent data. Review of Economics and Statistics, 549-560, 1998
• BITZER Jürgen, M. K., Does Foreign Direct Investment Transfer Technology Across Borders? Economic Letters 100, 355-358, 2008
• BECK. N., J. K., Nuisance vs. Substance: Specifiying and Estimating Time Series Cross Section Models. Poltical Analysis 6, 1-36, 1996
• PARKS, R. W., Efficient Estimation of a System of Regression Equation When Distrubance are Both Serially and Contemporaneously Correlated. Journal of the American Statistical Association 62, 500-509, 1966
• ROMER, P. M., Increasing Returns and Long-Run Growth. Journal of Political Economy, 1002-1037, 1986
• ROMER, P. M., Endogenous Technological Change. Journal of Political Economy, 1990
• SOLOW, R. M., A Contribution to the Theory of Economic Growth. The Quarterly Journal of Economics, 65-94, 1956