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Diffusion of general-purpose technologies: understanding patterns in the electrification of US Manufacturing 1880-1930


Brent D. Goldfarb


University of Maryland - Robert H. Smith School of Business

October 2005

Industrial and Corporate Change, Vol. 14, Issue 5, pp. 745-773, 2005

Abstract:     
I examine the diffusion of the electric motor between 1880 and 1930. I find that long lag times are determined by the degree of technical difficulty in application. After solutions became available, electrification generally proceeded rapidly. To make this claim, I explore three industries: urban transit, printing and paper making. I identify points at which viable electric solutions to particular problems were found and examine adoption patterns both before and after these events. The explanation contrasts with common demand-side explanations such as costly user-adaptation or information diffusion, and imposes conditions on the application of standard supply side models. The results are particularly important when examining the diffusion of broadly defined technological categories, such as general-purpose technologies.
In the history of diffusion of many innovations, one cannot help being struck by two characteristics of the diffusion process: its apparent overall slowness on the one hand, and the wide variations in the rates of acceptance of different inventions, on the other. (Rosenberg, 1972: 191)

Keywords: Tobacco, smoking, educational inequalities, mortality

Accepted Paper Series


Date posted: February 29, 2008  

Suggested Citation

Goldfarb, Brent D., Diffusion of general-purpose technologies: understanding patterns in the electrification of US Manufacturing 1880-1930 (October 2005). Industrial and Corporate Change, Vol. 14, Issue 5, pp. 745-773, 2005. Available at SSRN: http://ssrn.com/abstract=914666

Contact Information

Brent D. Goldfarb (Contact Author)
University of Maryland - Robert H. Smith School of Business ( email )
College Park, MD 20742-1815
United States
301-405-9672 (Phone)
301-314-8787 (Fax)
Feedback to SSRN (Beta)


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