Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-28T02:19:39.132Z Has data issue: false hasContentIssue false

Biased Technical Change, Scale, and Factor Substitution in American Industry, 1850–1919

Published online by Cambridge University Press:  03 March 2009

Louis P. Cain
Affiliation:
Professors of Economics at Loyola University of Chicago, Illinois 60611

Abstract

Biased technical change, scale economies, and factor substitution were part of U.S. manufacturing's technical response to factor price movements during the period 1850 to 1919. In this article we employ the cost dual of a Generalized Leontief production function to test directly for the presence of these three effects for nineteen two-digit manufacturing sectors. Biased technical change is found in all but one sector; scale economies in all but two; factor substitutability, in all but five. Estimates of scale and bias effects for labor, capital, and materials are presented by sector, and the results are compared with other recent work.

Type
Articles
Copyright
Copyright © The Economic History Association 1986

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1 Cain, Louis P. and Paterson, Donald G., “Factor Biases and Technical Change in Manufacturing: The American System, 1850–1919,” this Journal, 41 (06 1981), pp. 341–60.Google Scholar

2 Habakkuk, H. J., American and British Technology in the Nineteenth Century (Cambridge, 1962);Google Scholar and Rothbarth, Erwin, “Causes of the Superior Efficiency of the U.S.A. Industry as Compared With British Industry,” Economic Journal, 56 (09. 1946), pp. 383–90. Habakkuk concentrated his attention on the first half of the nineteenth century but argued the history was relevant to the latter half as well, pp. 197, 215.CrossRefGoogle Scholar

3 Chandler, Alfred D., The Visible Hand (Cambridge, Mass., 1977), pp. 241–, 224–.Google Scholar

4 Atack, Jeremy, “Returns to Scale in Antebellum United States Manufacturing,” Explorations in Economic History, 14 (09 1977), pp. 337–59;CrossRefGoogle ScholarJames, John A., “Structural Change in American Manufacturing, 1850–1890,” this Journal, 43 (06 1983), pp. 433–59;Google Scholar and Schmitz, Mark, “The Elasticity of Substitution in 19th-Century Manufacturing,” Explorations in Economic History, 18 (09 1981), pp.290303.CrossRefGoogle Scholar

5 To use the terminology in David, Paul, Technical Choice, Innovation, and Economic Growth (New York, 1975), p. 65.Google Scholar

6 Schmitz, “Elasticity of Substitution,” pp. 296–301.Google Scholar See also the earlier paper by Uselding, Paul, “Factor Substitution and Labor Productivity Growth in American Manufacturing, 1839–1899,” this Journal, 32 (09 1972), pp.670–81.Google Scholar

7 David, Technical Choice, p. 87.Google Scholar

8 Use of this cost function is relatively less expensive in its data requirements than the translog functional form we used in our earlier study which is attributable to the absence of cross equation constraints.Google Scholar

9 Other recent work by economic historians employing the translog cost function includes: Phillips, William H., “Induced Innovation and Economic Performance in Late Victorian British Industry,” this Journal, 42 (03 1982), pp. 97104Google Scholar and “Testing for Induced Innovation in a Declining Economy: British Coal, Iron, Textiles in the Late Victorian Era” (working paper, University of South Carolina, (June 1982);Google ScholarWoolf, Arthur G., “Energy and Technology in American Manufacturing, 1900–1929,” this Journal, 42 (03 1982), pp. 230–32 and “Electricity, Productivity, and Labor Saving: American Manufacturing, 1900–1929,”Google ScholarExplorations in Economic History, 21 (June 1984), pp. 176–91.Google Scholar

10 Keehn, Richard H. and Smiley, Gene, “Short-term Interest Rates in New York and San Francisco, 1872–1898,” Business and Economic History, 9 (1980), pp. 181–91.Google Scholar

11 This mode of research is common in contemporary work on technical change. For example, empirical work at the two-digit SIC level is found in Griliches, Zvi, ed., R and D. Patents, and Productivity (Chicago, 1984).CrossRefGoogle Scholar

12 Parks, Richard W., “Price Responsiveness of Factor Utilization in Swedish Manufacturing, 1870–1950,” Review of Economics and Statistics, 53 (06 1971), pp. 129–39;CrossRefGoogle Scholar and Woodland, Alan D., “Substitution of Structures, Equipment and Labor in Canadian Production,” International Economic Review, 16 (Feb. 1975), pp. 171–87.CrossRefGoogle Scholar

13 The error term is assumed to be multivariate normally distributed with a non-singular covariance matrix.Google Scholar

14 Berndt, Ernst, “Reconciling Alternative Estimates of the Elasticity of Substitution.” Review of Economics and Statistics, 8 (03 1976), pp. 5968.CrossRefGoogle Scholar

15 Schmitz, “Elasticity of Substitution,” pp. 296–301. See also Uselding, “Factor Substitution and Labor Productivity,” pp. 670–81.Google Scholar

16 Mann, H. Michael, “Seller Concentration, Barriers to Entry and Rates of Return in Thirty Industries, 1905–1960,” Review of Economics and Statistics, 48 (08 1966), pp. 296307.CrossRefGoogle Scholar

17 The following notes the SIC groups and the range of the average L/Y: SIC 22–23, .61 to .70; SIC 24–25, .96 to.99; SIC 28–30, .22 to .31; and SIC 34–39, .42 to .49.Google Scholar

18 These five are the labor coefficient for transportation equipment (SIC 37) and miscellaneous goods (SIC 39), the capital coefficient for textiles (SIC 22) and petroleum (SIC 29), and the materials coefficient for stone, clay, and glass products (SIC 32).Google Scholar

19 James, “Structural Change,” pp. 433–59.Google Scholar

20 James, John A. and Skinner, Jonathan S., “The Resolution of the Labor-Scarcity Paradox,” this Journal, 45 (09 1985), pp. 513–40.Google Scholar

21 We estimate that the Allen-elasticities of substitution record 9 cases of capital-material complementarity, 6 cases of capital-labor substitution, and 4 cases in which the results are insignificantly different from zero.Google Scholar

22 Burns, Malcolm R., “Economies of Scale in Tobacco Manufacture, 1897–1910,” this Journal, 43 (06 1983), pp.461–73;Google Scholar and Chandler, The Visible Hand and as cited by Burns.Google Scholar

23 Asher, Ephraim, “Industrial Efficiency and Biased Technical Change in American Manufacturing: The Case of Textiles in the 19th Century,” this Journal, 32 (06 1972), pp. 431–42.Google Scholar

24 Because substitution favored unskilled labor and capital over skilled labor, it is interesting to speculate whether or not this bias bore more heavily on particular skilled workers, such as tailors.Google Scholar

25 Lamoreaux, Naomi, The Great Merger Movement in American Business, 1895–1904 (New York, 1985), p. 41.CrossRefGoogle Scholar

26 In only one sector, paper and its products, is the null hypothesis of no biased technical change accepted at the .95 level of confidence. Even at the .99 level, the null hypothesis would gain acceptance in only three cases.Google Scholar

27 Uselding, “Factor Substitution,” pp. 670–81.Google Scholar

28 Parks, “Price Responsiveness,” pp. 129–39; and Woodland, “Substitution,” pp. 171–87.Google Scholar