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.
This article anatomizes the ‘productivity race’ between Nazi Germany and the US over the period from the Great Depression to the Second World War in the metalworking industry. We present novel data that allow us to account for both the quantity of installed machine tools and their technological type. Hitherto, comparison of productive technologies has been limited to case studies and well‐worn narratives about US mass production and European‐style flexible specialization. Our data show that the two countries in fact employed similar types of machines combined in different ratios. Furthermore, neither country was locked in a rigid technological paradigm. By 1945 Germany had converged on the US both in terms of capital‐intensity and the specific technologies employed. Capital investment made a greater contribution to output growth in Germany, whereas US growth was capital‐saving. Total factor productivity growth made a substantial contribution to the armaments boom in both countries. But it was US industry, spared the war's most disruptive effects, that was in a position to take fullest advantage of the opportunities for wartime productivity growth. This adds a new element to familiar explanations for Germany's rapid catch‐up after 1945.
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