Does the concept of General Purpose Technologies help explain periods of faster and slower
productivity advance in economies? The paper develops a new comparative data set on the
usage of electricity in the manufacturing sectors of the USA, Britain, France, Germany and
Japan and proceeds to evaluate the hypothesis of a productivity bonus as postulated by many
existing GPT models. Using the case of the diffusion of electrical power in the early
twentieth century this paper shows that there was no generalized productivity boost from
electrical power diffusion as postulated by many existing GPT models. The productivity
gains from this GPT varied widely across economies and industries, suggesting that the
power of GPTs to predict aggregate or sectoral growth is limited.Research for this paper has been supported by a Research Grant from the ESRC (No. L138
25 1045).This is the author accepted manuscript. The published advanced access version can be found on the publisher's website at: http://ereh.oxfordjournals.org/content/early/2014/06/03/ereh.heu008.full.pdf+htm