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 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 27592.
Date of creation: 2008
Date of revision:
structural change; productivity growth; GPT; innovation; service industries; EU KLEMS data; CIS data;
Other versions of this item:
- Fulvio Castellacci, 2010. "Structural Change And The Growth Of Industrial Sectors: Empirical Test Of A Gpt Model," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 449-482, 09.
- O1 - Economic Development, Technological Change, and Growth - - Economic Development
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