2004Economics of Innovation and New TechnologyRequires access

Link between innovation and productivity in Canadian manufacturing industries

Wulong Gu, Jianmin Tang

Open publisher page 58 citations

Abstract

Empirical studies commonly use research and development (R&D) to measure innovation and often find, especially in Canada, no strong link between productivity and innovation. In this article, we model innovation as an unobservable latent variable that underlies four indicators: R&D, patents, technology adoption, and skills. We find that these indicators are reasonably good measures of innovation for aggregate manufacturing. However, except for skills, the reliability of the indicators for innovation differs among individual industries. Our innovation indexes, based on the latent variable model, show that most manufacturing industries became more innovative over the 1980–1997 period. The pace of innovation in the electrical and electronic products industry accelerated during the 1990s. In addition, we show that the new measure of innovation has a positive and statistically significant impact on productivity. It takes from 1 to 3 years, depending on the industry, for innovation to generate an impact on productivity.

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What this paper is about

Empirical studies commonly use research and development (R&D) to measure innovation and often find, especially in Canada, no strong link between productivity and innovation. In this article, we model innovation as an unobservable latent variable that underlies four indicators: R&D, patents, technology adoption, and skills. We find that these indicators are reasonably good measures of innovation for aggregate manufacturing. However, except for skills, the reliability of the indicators for innovation differs among individual industries. Our innovation indexes, based on the latent variable model, show that most manufacturing industries became more innovative over the 1980–1997 period. The pace of innovation in the electrical and electronic products industry accelerated during the 1990s. In addition, we show that the new measure of innovation has a positive and statistically significant impact on productivity. It takes from 1 to 3 years, depending on the industry, for innovation to generate an impact on productivity.

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Available abstract

Empirical studies commonly use research and development (R&D) to measure innovation and often find, especially in Canada, no strong link between productivity and innovation. In this article, we model innovation as an unobservable latent variable that underlies four indicators: R&D, patents, technology adoption, and skills. We find that these indicators are reasonably good measures of innovation for aggregate manufacturing. However, except for skills, the reliability of the indicators for innovation differs among individual industries. Our innovation indexes, based on the latent variable model, show that most manufacturing industries became more innovative over the 1980–1997 period. The pace of innovation in the electrical and electronic products industry accelerated during the 1990s. In addition, we show that the new measure of innovation has a positive and statistically significant impact on productivity. It takes from 1 to 3 years, depending on the industry, for innovation to generate an impact on productivity.

Key concepts: Unobservable, Productivity, Pace, Industrial organization, Latent variable, Manufacturing, Business, Variable (mathematics)

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