IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v100y2014i2d10.1007_s11192-014-1254-2.html
   My bibliography  Save this article

The Albuquerque model and efficiency indicators in national scientific productivity with respect to manpower and funding in science

Author

Listed:
  • Aparna Basu

    (CSIR-National Institute of Science Technology and Development Studies)

Abstract

Due to recession in the world economy there is a trend towards a reduction in growth of R&D expenditure in the G7 countries. At the same time countries like China and Korea are investing more in scientific research. We compare the differences in the inputs to science for different countries and explore the level of efficiency in the output of scientific papers with respect to inputs such as manpower and investment. We find that the EU countries are relatively more efficient than Japan, the USA and also China and Korea so far as the production of papers is concerned. However, if efficiency is considered in terms of patents, Japan Korea and the USA are ahead. We compare our results with Albuquerque’s model linking patent to paper ratios and development, and find significant deviations for some countries. We deduce that there has been a shift from publishing towards patenting in certain countries and link it to high contribution from the business sector to R&D expenditure. Preliminary results of this analysis have been presented in Basu (In Proceedings of the 14th International Society for Scientometrics and Informetrics (ISSI) Conference, 2013).

Suggested Citation

  • Aparna Basu, 2014. "The Albuquerque model and efficiency indicators in national scientific productivity with respect to manpower and funding in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 531-539, August.
  • Handle: RePEc:spr:scient:v:100:y:2014:i:2:d:10.1007_s11192-014-1254-2
    DOI: 10.1007/s11192-014-1254-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-014-1254-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-014-1254-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robert D. Shelton, 2008. "Relations between national research investment and publication output: Application to an American Paradox," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 191-205, February.
    2. Peter Vinkler, 2008. "Correlation between the structure of scientific research, scientometric indicators and GDP in EU and non-EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 237-254, February.
    3. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    4. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. R. D. Shelton, 2020. "Scientometric laws connecting publication counts to national research funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 181-206, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carmen Osuna & Laura Cruz Castro & Luis Sanz Menéndez, 2010. "Knocking down some Assumptions about the Effects of Evaluation Systems on Publications," Working Papers 1010, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    2. Tanel Hirv, 2022. "The interplay of the size of the research system, ways of collaboration, level, and method of funding in determining bibliometric outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1295-1316, March.
    3. Lu, Kun & Wolfram, Dietmar, 2010. "Geographic characteristics of the growth of informetrics literature 1987–2008," Journal of Informetrics, Elsevier, vol. 4(4), pages 591-601.
    4. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    5. Ricardo Arencibia-Jorge & Felix Moya-Anegón, 2010. "Challenges in the study of Cuban scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 723-737, June.
    6. Roula Inglesi-Lotz & Mehmet Balcilar & Rangan Gupta, 2014. "Time-varying causality between research output and economic growth in US," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 203-216, July.
    7. Chadi Azmeh, 2022. "Quantity and quality of research output and economic growth: empirical investigation for all research areas in the MENA countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6147-6163, November.
    8. Yong Yi & Wei Qi & Dandan Wu, 2013. "Are CIVETS the next BRICs? A comparative analysis from scientometrics perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 615-628, February.
    9. Sakiru Adebola Solarin & Yuen Yee Yen, 2016. "A global analysis of the impact of research output on economic growth," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 855-874, August.
    10. Paulo Henrique Santos Gonçalves & Thiago Gonçalves-Souza & Ulysses Paulino Albuquerque, 2020. "Chronic anthropogenic disturbances in ecology: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1103-1117, May.
    11. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2022. "Revealing the scientific comparative advantage of nations: Common and distinctive features," Journal of Informetrics, Elsevier, vol. 16(1).
    12. Christoph Emanuel Mueller, 2016. "Accurate forecast of countries’ research output by macro-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1307-1328, November.
    13. Alonso Rodríguez-Navarro & Francis Narin, 2018. "European Paradox or Delusion—Are European Science and Economy Outdated?," Science and Public Policy, Oxford University Press, vol. 45(1), pages 14-23.
    14. Inglesi-Lotz, R., 2019. "Energy research and R&D indicators: An LMDI decomposition analysis for the IEA Big 5 in energy research," Energy Policy, Elsevier, vol. 133(C).
    15. R. Inglesi-Lotz & A. Pouris, 2013. "The influence of scientific research output of academics on economic growth in South Africa: an autoregressive distributed lag (ARDL) application," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 129-139, April.
    16. Zaida Chinchilla-Rodríguez & Cassidy R Sugimoto & Vincent Larivière, 2019. "Follow the leader: On the relationship between leadership and scholarly impact in international collaborations," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-18, June.
    17. Štěpán Jurajda & Stanislav Kozubek & Daniel Münich & Samuel Škoda, 2017. "Scientific publication performance in post-communist countries: still lagging far behind," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 315-328, July.
    18. Elham Erfanian & Amir B. Ferreira Neto, 2017. "Scientific output: labor or capital intensive? An analysis for selected countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 461-482, July.
    19. Elham Erfanian & Amir B. Ferreira Neto, 2017. "Scientific output: labor or capital intensive? An analysis for selected countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 461-482, July.
    20. Wen-Chi Hung & Ling-Chu Lee & Min-Hua Tsai, 2009. "An international comparison of relative contributions to academic productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 703-718, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:100:y:2014:i:2:d:10.1007_s11192-014-1254-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.