Structural Change And The Growth Of Industrial Sectors: Empirical Test Of A Gpt Model
AbstractThis paper investigates the empirical relevance of a model of structural change and the growth of industrial sectors. The model analyzes 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 labor 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 toward these high-opportunity manufacturing and service industries have grown more rapidly. Copyright 2010 The Author. Review of Income and Wealth 2010 International Association for Research in Income and Wealth.
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Bibliographic InfoArticle provided by International Association for Research in Income and Wealth in its journal Review of Income and Wealth.
Volume (Year): 56 (2010)
Issue (Month): 3 (09)
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Other versions of this item:
- Castellacci, Fulvio, 2008. "Structural change and the growth of industrial sectors: empirical test of a GPT model," MPRA Paper 27592, University Library of Munich, Germany.
- O1 - Economic Development, Technological Change, and Growth - - Economic Development
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