A non-parametric approach to innovation gaps and economic growth


  • Juan Ricardo Perilla Maastricht University University of Groningen




Economic growth, Innovation gaps, Non-parametric approach.


A non-parametric approach based on DEA  techniques is used  to  dis- entangle the  relationship between  innovation growth  and  per-capita GDP growth  in a sample  of 30 countries during  1996-2008.  The decomposition of GDP-growth brings support to the notion of advantage of backward- ness.  It leads to conclude that, in the context of innovation, both the process of catching-up and technological change play an important explanation of the dynamics of economic growth. This is in sharp contrast to alternative evidence that brings more support to the importance of capital deepening in explaining labour growth productivity.

Author Biography

Juan Ricardo Perilla, Maastricht University University of Groningen

PhD Candidate


Abramovitz, M. (1986). Catching Up, Forging Ahead and Falling Be- hind. Journal of Economic History, June. http://dx.doi.org/10.1017/S0022050700046209

Acemoglu, D. (2009). Introduction to Modern Economic Growth. The MIT Press.

Acemoglu, D., Zilibotti, F., and Aghion, P. (2006). Distance to Frontier, Selection and Economic Growth. Journal of the European Eco- nomic Association, 4(1), 37-74. http://dx.doi.org/10.1162/jeea.2006.4.1.37

Aghion, P., and Howitt, P. (2006). "Joseph Schumpeter Lecture" Appropriate Growth Policy: A Unifying Framework. Journal of the European Economic Association, 4(2/3), 269-314. http://dx.doi.org/10.1162/jeea.2006.4.2-3.269

Aghion, P., and Howitt, P. (2009). The Economics of Growth. The MIT Press.

Archibugi, D., Denni, M., and Filippetti, A. (2009). The Technological Capabilities of Nations: The State of the Art of Synthetic Indicators. Technological Forecasting & Social Change. http://dx.doi.org/10.1016/j.techfore.2009.01.002

Barr, R. (2005). DEA Software Tools and Technology. A State of the Art Survey. University of Dallas, Unpublished.

Bernard, B., and Jones, C. (1996). Technology and Convergence. The Economic Journal, 106(437), 1037-44. http://dx.doi.org/10.2307/2235376

Coelli, T., Prasada, D., O'Donell, C., and Battese, G. (2005). An Introduction to Efficiency and Productivity Analysis. (Second Ed.), Springer.

Elsby, M., Michaels, R., and Solon, G. (2009). The Ins and Out of Cyclical Unemployment. American Economic Journal, Macroeconomics 1(1), 84-110. http://dx.doi.org/10.1257/mac.1.1.84

Gerschenkron, A. (1962). Economic Backwardness in Historical Per- spective. Harvard University Press.

Kumar, S., and Russel, R. (2002). Technological Change, Techno- logical Catch-Up, and Capital Deepening: Relative Contributions to Growth and Convergence. American Economic Review, 92(3), 527-48. http://dx.doi.org/10.1257/00028280260136381

Los, B., and Timmer, M. (2005). The 'Appropriate Technology 'Explanation of Productivity Growth Differentials: An Empirical Approach. Journal of Development Economics, 77(2005), 517-31. http://dx.doi.org/10.1016/j.jdeveco.2004.04.001

Nelson, R., and Pack, H. (1999). The Asian Miracle and Modern Growth Theory. The Economic Journal, 109(July), 416-36. http://dx.doi.org/10.1111/1468-0297.00455

Nelson, R., and Phelps, E. (1966). Investment in Humans, Technological Diffusion, and Economic Growth. The American Economic Review, 56(1/2), 69-75.

Nelson, R., and Wright, G. (1992). The Rise and Fall of American Technological Leadership: The Postwar Era in Historical Perspective. Journal of Economic Literature, 30(4), 1931-64.

Van Ark, B., OMahony, M., and Timmer, M. (2008). The Productivity Gap Between Europe and the United States. Trends and Causes. Journal of Economic Perspectives, 22(1), 25-44. http://dx.doi.org/10.1257/jep.22.1.25