Structural change and the growth of industrial sectors: empirical test of a GPT model

Castellacci, Fulvio (2008): Structural change and the growth of industrial sectors: empirical test of a GPT model.

Abstract

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
• Language: English
• 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

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