Castellacci, Fulvio (2008): Structural change and the growth of industrial sectors: empirical test of a GPT model.
Download (411kB) | Preview
This paper investigates the empirical relevance of a model of structural change and the growth of industrial sectors. The model analyses the process of diffusion of general-purpose technologies (GPTs) and how this affects the dynamic performance of manufacturing and service industries. The empirical analysis studies the dynamics and the determinants of labour productivity growth for a large number of sectors in 18 OECD countries over the period 1970-2005. The results of dynamic panel data and cross-sectional analysis provide support for the empirical validity of the model. Industries that are close to the core of ICT-related GPTs are characterized by greater innovative capabilities and have recently experienced a more dynamic performance. Relatedly, countries that have been able to shift their industrial structure towards these high-opportunity manufacturing and service industries have grown more rapidly.
|Item Type:||MPRA Paper|
|Original Title:||Structural change and the growth of industrial sectors: empirical test of a GPT model|
|Keywords:||structural change; productivity growth; GPT; innovation; service industries; EU KLEMS data; CIS data|
|Subjects:||O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development|
|Depositing User:||Fulvio Castellacci|
|Date Deposited:||21. Dec 2010 13:25|
|Last Modified:||02. Mar 2013 04:15|
Arellano, M. and Bond, S. 1991. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equation. Review of Economic Studies 58, 277-297.
Ark, van B., M. O’Mahony and M.P. Timmer (2008). European Growth: the End of Convergence. Journal of Economic Perspectives, 22(1), 25–44.
Barro, R., and J. W. Lee. 2001. International Data on Educational Attainment: Updates and Implications. Oxford Economic Papers 53 (3), 541-563.
Bresnahan, T. and Trajtenberg, M. 1995. General purpose technologies: ‘engines of growth’?. Journal of Econometrics 65, 83-108.
Carlaw, K. and Lipsey, R. 2006. GPT-driven endogenous growth. Economic Journal 116, 155-174.
Carlaw, K. and Lipsey, R. 2007. Sustained growth driven by multiple co-existing GPTs. Simon Fraser University Department of Economics Working Paper Series, dp 07-17.
Carlaw, K., Lipsey, R. and Webb. R. 2007. The past, present and future of the ICT revolution. Final Report, Research Project sponsored by Industry Canada.
Castaldi, C. 2008. The relative weight of manufacturing and services in Europe: An innovation perspective. Technological Forecasting and Social Change, in press.
Castellacci, F. 2007. Technological regimes and sectoral differences in productivity growth. Industrial and Corporate Change 16 (6), 1105-1145.
Castellacci, F. 2008a. Technological paradigms, regimes and trajectories. Manufacturing and service industries in a new taxonomy of sectoral patterns of innovation. Research Policy 37, 978-994.
Castellacci, F. 2008b. Innovation and the international competitiveness of industries: Comparing the mainstream and the evolutionary approaches. Technological Forecasting and Social Change, 75, 984-1006.
Drejer, I. 2004. Identifying innovation in surveys of services: a Schumpeterian perspective. Research Policy 33, 551-562.
Evangelista, R. 2000. Sectoral patterns of technological change in services. Economics of Innovation and New Technologies 9, 183-221.
Freeman, C., Clark, J., Soete, L. 1982. Unemployment and Technical Innovation. Pinter, London.
Freeman, C., Louça F. 2001. As Time Goes by: From the Industrial Revolutions to the Information Revolution. Oxford University Press, Oxford.
Guerrieri, P., Meliciani, V. 2005. Technology and international competitiveness: the interdependence between manufacturing and producer services. Structural Change and Economic Dynamics 16, 489-502.
Hartwig, J. 2008. Productivity growth in service industries: Are the transatlantic differences measurement-driven? Review of Income and Wealth 54 (3), 494-505.
Helpman, E. and Trajtenberg, M. 1998. The diffusion of general purpose technologies. In Helpman, E. (Ed.) 1998. General Purpose Technologies and Economic Growth. MIT Press, Cambridge, MA.
Laursen, K., Meliciani, V. 2002. The relative importance of international vis-à-vis national technological spillovers for market share dynamics. Industrial and Corporate Change 11 (4), 875-894.
Lipsey, R., Carlaw, K., Bekar, C., 2005. Economic Transformations: General Purpose Technologies and Long-run Economic Growth. Oxford University Press, Oxford.
Miozzo, M., Soete, L. 2001. Internationalization of services: a technological perspective. Technological Forecasting and Social Change 67, 159-185.
O’Mahony, M. and van Ark, B. 2003. EU Productivity and Competitiveness: An Industry Perspective. European Communities, Luxembourg.
O’Mahony, M. and Timmer, M. 2009. Output, Input and Productivity Measures at the Industry Level: the EU KLEMS Database. Economic Journal, forthcoming.
Pavitt, K. 1984. Sectoral patterns of technical change: towards a taxonomy and a theory. Research Policy 13, 343-373.
Peneder, M. 2003. Industrial structure and aggregate growth. Structural Change and Economic Dynamics 14, 427-448.
Peneder, M. 2008. Entrepreneurship, technological regimes, and productivity growth. EU Klems Working Paper nr. 28.
Timmer, M., O’Mahony, M. and van Ark, B. 2008. The EU KLEMS Growth and productivity accounts: An overview. University of Groningen and University of Birmingham.
USPTO, United States Patent and Trademark Office 2002. Registered Patent Database. Washington, D.C.: USPTO.
World Bank 2007. World Development Indicators. Washington, D.C.: The World Bank.