Structural change and the growth of industrial sectors: empirical test of a GPT model
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.
|Date of creation:||2008|
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- Castellacci, Fulvio, 2008. "Innovation and the competitiveness of industries: comparing the mainstream and the evolutionary approaches," MPRA Paper 27523, University Library of Munich, Germany.
- Elhanan Helpman & Manuel Trajtenberg, 1996.
"Diffusion of General Purpose Technologies,"
NBER Working Papers
5773, National Bureau of Economic Research, Inc.
- Fulvio, Castellacci, 2007.
"Technological paradigms, regimes and trajectories: Manufacturing and service industries in a new taxonomy of sectoral patterns of innovation,"
26408, University Library of Munich, Germany.
- Castellacci, Fulvio, 2008. "Technological paradigms, regimes and trajectories: Manufacturing and service industries in a new taxonomy of sectoral patterns of innovation," Research Policy, Elsevier, vol. 37(6-7), pages 978-994, July.
- Robert J. Barro & Jong-Wha Lee, 2000.
"International Data on Educational Attainment: Updates and Implications,"
CID Working Papers
42, Center for International Development at Harvard University.
- Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-63, July.
- Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment Updates and Implications," NBER Working Papers 7911, National Bureau of Economic Research, Inc.
- Rinaldo Evangelista, 2000. "Sectoral Patterns Of Technological Change In Services," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(3), pages 183-222.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
- Guerrieri, Paolo & Meliciani, Valentina, 2005. "Technology and international competitiveness: The interdependence between manufacturing and producer services," Structural Change and Economic Dynamics, Elsevier, vol. 16(4), pages 489-502, December.
- Keld Laursen & Valentina Meliciani, 2002. "The relative importance of international vis-ý-vis national technological spillovers for market share dynamics," Industrial and Corporate Change, Oxford University Press, vol. 11(4), pages 875-894, August.
- Lipsey, Richard G. & Carlaw, Kenneth I. & Bekar, Clifford T., 2005. "Economic Transformations: General Purpose Technologies and Long-Term Economic Growth," OUP Catalogue, Oxford University Press, number 9780199290895, December.
- Jochen Hartwig, 2008. "Productivity Growth In Service Industries: Are The Transatlantic Differences Measurement-Driven?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 494-505, 09.
- Trajtenberg, M. & Bresnahan, T.F., 1992.
"General Purpose Technologies: "Engines of Growth","
16-92, Tel Aviv.
- Michael Peneder, 2002.
"Industrial Structure and Aggregate Growth,"
WIFO Working Papers
- Kenneth I. Carlaw & Richard G. Lipsey, 2006. "Gpt-Driven, Endogenous Growth," Economic Journal, Royal Economic Society, vol. 116(508), pages 155-174, 01.
- Kenneth I. Carlaw & Richard G. Lipsey, 2007. "SUSTAINED GROWTH DRIVEN BY MULTIPLE, CO-EXISTING GPTs," Discussion Papers dp07-17, Department of Economics, Simon Fraser University.
- Castellacci, Fulvio, 2007.
"Technological regimes and sectoral differences in productivity growth,"
27598, University Library of Munich, Germany.
- Fulvio Castellacci, 2007. "Technological regimes and sectoral differences in productivity growth ," Industrial and Corporate Change, Oxford University Press, vol. 16(6), pages 1105-1145, December.
- Freeman, Chris & Louca, Francisco, 2002.
"As Time Goes By: From the Industrial Revolutions to the Information Revolution,"
Oxford University Press, number 9780199251056, December.
- Freeman, Chris & Louca, Francisco, 2001. "As Time Goes By: From the Industrial Revolutions to the Information Revolution," OUP Catalogue, Oxford University Press, number 9780199241071, December.
- Marcel P. Timmer & Mary O’Mahony & Bart van Ark, 2007. "EU KLEMS Growth and Productivity Accounts: An Overview," International Productivity Monitor, Centre for the Study of Living Standards, vol. 14, pages 71-85, Spring.
- Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages F374-F403, 06.
- Drejer, Ina, 2004. "Identifying innovation in surveys of services: a Schumpeterian perspective," Research Policy, Elsevier, vol. 33(3), pages 551-562, April.
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