Skip to main content
Log in

Techno-scientific activity and war: A yearly time-series analysis, 1500–1903 A. D.

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Previous research may have failed to find a general relationship between war and techno-scientific activity due to the failure (a) to treat the various types of war separately and (b) to use yearly rather than generational time series. Hence, the present study examined 404 consecutive years in European civilization from 1500 to 1903. Measures of four distinct kinds of war were defined and a log-transformed measure of techno-scientific activity was derived from a factor analysis of six histories and chronologies. The techno-science measure was regressed on the war measures plus a set of control variables. Techno-scientific activity was found to be a negative function of balance-of-power and defensive wars fought within Europe. In contrast, imperial and civil wars exerted no influence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes and references

  1. B. NORLING,Timeless Problems in History, (Notre Dame, Ind., University of Notre Dame Press, 1970), p. 248–51.

    Google Scholar 

  2. D. K. SIMONTON, The Socio-political Context of Philosophical Beliefs: A Transhistorical Causal Analysis,Social Forces, 54 (1976) 513–23.

    Google Scholar 

  3. D. K. SIMONTON, Women's Fashions and War: A Quantitative Comment,Social Behavior and Personality, 5 (1977) 285–88.

    Google Scholar 

  4. R. NAROLL, E. C. BENJAMIN, F. K. FOHL, M. J. FRIED, R. E. HILDRETH, J. M. SCHAEFER, Creativity: A Cross-Historical Pilot Survey,Journal of Cross-Cultural Psychology, 2 (1971) 181–88; D. K. SIMONTON, The Causal Relation between War and Scientific Discovery: An Exploratory Cross-National Analysis,Journal of Cross-Cultural Psychology, 7 (1976) 133–44.

    Google Scholar 

  5. D. K. SIMONTON, Interdisciplinary and Military Determinants of Scientific Productivity: A Cross-lagged Correlation Analysis,Journal of Vocational Behavior, 9 (1976) 53–62.

    Google Scholar 

  6. D. DE SOLLA PRICE, Ups and Downs in The Pulse of Science Technology, In J. GASTONThe Sociology of Science, (Ed.), (San Francisco; Jossey-Bass, 1978), 162–71.

    Google Scholar 

  7. The six measures were: Ludwig DARMSTAEDTER,Handbuch der Naturwissenschaften und der Technik (Berlin; Springer, 1908); Ludwig DARMSTAEDTER and Rene Du BOIS-REYMOND,4000 Jahre Pioner-Arbeit in den Exacten Wissenschaften (Berlin; Stargardt, 1904); Franz FELDHAUS,Lexicon der Erfindungen und Ertdeckungen auf den Gelieten der Neturwissenschaften und Technik (Heidelberg; Winter, 1904); Felding GARRISON,An Introduction to the History of Medicine (Philadelphia; Saunders, 1929, 4th ed.); Humphrey T. PLEDGE,Science Since 1500: A Short History of Mathematics, Physics, Chemistry, Biology, (London; H. M. Stationary Office, 1939); Neville WILLIAMS,Chronology of the Modern World: 1763 to the Present Time (New York; McKay, 1968, rev. ed.) and Neville WILLIAMS,Chronology of the Expanding World: 1492 to 1762 (New York; McKay, 1969). Except for the fact that the WILLIAMS measure was tabulated only back to 1763 using only the 1968 WILLIAMS work, these science measures were generated under the direction of PRICE, Professor of the History of Science and Medicine at Yale University. I continued the WILLIAMS measure back to 1500 using the 1969 WILLIAMS work and also double-checked all measures against the original sources. I am deeply grateful to PRICE for providing me this data. For his use of these same measures see PRICE, op. cit. note 6. Ups and Downs in The Pulse of Science Technology, In J. GASTONThe Sociology of Science, (Ed.), (San Francisco; Jossey-Bass, 1978), 162–71.

    Google Scholar 

  8. D. de SOLLA PRICE,Little Science, Big Science, (New York; Columbia University Press, 1963), 1–32.

    Google Scholar 

  9. Even though I chose the data transformations having the greatest justification, the principal findings are so robust as to survive all reasonable alternative transformations, including the study of each measure separatelly.

  10. Q. WRIGHT,A Study of War, (Chicago; University of Chicago Press, 1965, 2nd ed.).

    Google Scholar 

  11. WRIGHT,, p. 641.

    Google Scholar 

  12. See J. JOHNSTON,Econometric Methods, (New York; McGraw-Hill, 1972, 2nd. ed.), 186–92.

    Google Scholar 

  13. Since the residuals were highly autocorrelated, a generalized least squares transformation was employed. The autoregression parameter was estimated at 0.48 using the Durbin-Watson Statistic. See J. JOHNSTON,.

    Google Scholar 

  14. D. de SOLLA PRICE,.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Simonton, D.K. Techno-scientific activity and war: A yearly time-series analysis, 1500–1903 A. D.. Scientometrics 2, 251–255 (1980). https://doi.org/10.1007/BF02016346

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02016346

Keywords

Navigation