Author: J. Frame 1
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  • 1 George Washington University Department of Management Science 20052 Washington, D.C. (USA) 20052 Washington, D.C. (USA)
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Abstract  

Scientific, technological, and economic data are investigated for 128 countries. A stepwise regression analysis is carried out on the data, using domestic patent counts as the dependent variable. The form of the regression equations is the Cobb-Douglas production function. The analysis shows that domestic patents (as indicator of national technological capacity, and treated here as the dependent variable) are closely related to GNP (a measure of national economic size), counts of scientific publications (an indicator of scientific capacity), and counts of national patents obtained in the U.S. (a measure of world class technological capacity). Together, these three independent variables account for more than 92 percent of the variance in the dependent variable.

Manuscript submission: http://www.editorialmanager.com/scim/

  • Impact Factor (2019): 2.867
  • Scimago Journal Rank (2019): 1.210
  • SJR Hirsch-Index (2019): 106
  • SJR Quartile Score (2019): Q1 Computer Science Apllications
  • SJR Quartile Score (2019): Q1 Library and Information Sciences
  • SJR Quartile Score (2019): Q1 Social Sciences (miscellaneous)
  • Impact Factor (2018): 2.770
  • Scimago Journal Rank (2018): 1.113
  • SJR Hirsch-Index (2018): 95
  • SJR Quartile Score (2018): Q1 Library and Information Sciences
  • SJR Quartile Score (2018): Q1 Social Sciences (miscellaneous)

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Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
4
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)