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Explaining the first Industrial Revolution: two views

Published online by Cambridge University Press:  13 December 2010

NICHOLAS CRAFTS*
Affiliation:
University of Warwick, N.Crafts@warwick.ac.uk

Abstract

This review article looks at the recent books on the British Industrial Revolution by Robert Allen and Joel Mokyr. Both writers seek to explain Britain's primacy. This article offers a critical but sympathetic account of the main arguments of the two authors, considering both the economic logic and the empirical validity of their rival claims. In each case, the ideas are promising but the evidence base seems in need of further support. It may be that eventually these explanations for British economic leadership at the turn of the nineteenth century are recognized as complementary rather than competing.

Information

Type
Review Article
Copyright
Copyright © European Historical Economics Society 2010
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Table 1. Internal rate of return on purchase of spinning jenny, c. 1780 (%)

Figure 1

Figure 1a. Choice of technology: the role of factor prices

Source: David, 1975Note: K is capital, L is labour and APF is the available production techniques frontier. The dotted lines P0P0 and P1P1 are isocost lines at different relative factor prices. At P1 (P0) relative factor prices, point A (B) on the Available Process Frontier will be chosen. Compared with these original points, C is on a lower (higher) isocost line at P1 (P0) relative factor prices.
Figure 2

Figure 1b. Technical progress: localized change

Source: David, 1975Note: from point C neutral localized learning proceeds down the α ray towards the origin. Eventually, this technology will be preferred at both sets of relative factor prices if there is no progress down the β ray. Following David (1975), Broadberry and Gupta (2009) suggest that progress down the α ray will be much faster than down the β ray.
Figure 3

Figure 2. Endogenous growth

Source: based on Carlin and Soskice (2006)Note: the rate of technological change is on the vertical axis and the capital to effective labour ratio on the horizontal axis. The Solow relationship captures the steady-state relationship between capital intensity and the rate of technological change for a given savings ratio. The Schumpeter relationship captures the standard assumption of endogenous-innovation growth models. Higher λ represents an economic environment that is more conducive to innovation, for example, because institutions are better, R & D is more productive because of a better science base, etc.