IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v128y2023i2d10.1007_s11192-022-04513-4.html
   My bibliography  Save this article

Higher research productivity = more pay? Gender pay-for-productivity inequity across disciplines

Author

Listed:
  • Charissa Samaniego

    (Department of Psychology)

  • Peggy Lindner

    (387 College of Technology Building)

  • Maryam A. Kazmi

    (Department of Psychology)

  • Bobbie A. Dirr

    (HQ Air Force Personnel Center)

  • Dejun Tony Kong

    (University of Colorado)

  • Evonzia Jeff-Eke

    (Department of Psychology)

  • Christiane Spitzmueller

    (Department of Psychology
    University of California Merced)

Abstract

Gender pay equity for academics continues to be elusive. Adding to scholarship around structural barriers to gender equity in academic settings, we investigate the link between scholarly performance and compensation. We expect high research productivity to be differentially associated with compensation outcomes for men and women. Building on social role theory, we hypothesize that these relationships are contingent upon whether researchers are inside or outside of Science, Technology, Engineering, and Mathematics (STEM). Using the h-index, compensation, and researcher demographics for 3033 STEM and social and behavioral sciences (SBS) researchers from 17 R1 universities, we applied multilevel modeling techniques and showed that cumulative research productivity was more strongly related to compensation for men versus women researchers. However, these effects only held in STEM disciplines but not in SBS disciplines. Based on these results, we recommend that institutions consider changing how pay analyses are conducted and advocate for adding explicit modeling of scientific performance-compensation links as part of routine pay equity analyses.

Suggested Citation

  • Charissa Samaniego & Peggy Lindner & Maryam A. Kazmi & Bobbie A. Dirr & Dejun Tony Kong & Evonzia Jeff-Eke & Christiane Spitzmueller, 2023. "Higher research productivity = more pay? Gender pay-for-productivity inequity across disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1395-1407, February.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:2:d:10.1007_s11192-022-04513-4
    DOI: 10.1007/s11192-022-04513-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04513-4
    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/s11192-022-04513-4?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. Jevin D West & Jennifer Jacquet & Molly M King & Shelley J Correll & Carl T Bergstrom, 2013. "The Role of Gender in Scholarly Authorship," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-6, July.
    2. James S. Fairweather, 2005. "Beyond the Rhetoric: Trends in the Relative Value of Teaching and Research in Faculty Salaries," The Journal of Higher Education, Taylor & Francis Journals, vol. 76(4), pages 401-422, July.
    3. Christoph Bartneck & Servaas Kokkelmans, 2011. "Detecting h-index manipulation through self-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 85-98, April.
    4. Andreas Leibbrandt & John A. List, 2015. "Do Women Avoid Salary Negotiations? Evidence from a Large-Scale Natural Field Experiment," Management Science, INFORMS, vol. 61(9), pages 2016-2024, September.
    5. Vincent Larivière & Chaoqun Ni & Yves Gingras & Blaise Cronin & Cassidy R. Sugimoto, 2013. "Bibliometrics: Global gender disparities in science," Nature, Nature, vol. 504(7479), pages 211-213, December.
    6. Nedelko, Zlatko & PotoÄ an, Vojko & Zlatanović, Dejana, 2019. "Innovativeness in higher education organizations," Proceedings- 11th International Conference on Mangement, Enterprise and Benchmarking (MEB 2019),, Óbuda University, Keleti Faculty of Business and Management.
    7. Helen Shen, 2013. "Inequality quantified: Mind the gender gap," Nature, Nature, vol. 495(7439), pages 22-24, March.
    8. Donna K. Ginther & Kathy J. Hayes, 2003. "Gender Differences in Salary and Promotion for Faculty in the Humanities 1977–95," Journal of Human Resources, University of Wisconsin Press, vol. 38(1).
    9. Lev A. Zhivotovsky & Konstantin V. Krutovsky, 2008. "Self-citation can inflate h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 373-375, November.
    10. Marcia L. Bellas, 1997. "Disciplinary Differences in Faculty Salaries," The Journal of Higher Education, Taylor & Francis Journals, vol. 68(3), pages 299-321, May.
    11. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    12. Amanatullah, Emily T. & Tinsley, Catherine H., 2013. "Punishing female negotiators for asserting too much…or not enough: Exploring why advocacy moderates backlash against assertive female negotiators," Organizational Behavior and Human Decision Processes, Elsevier, vol. 120(1), pages 110-122.
    13. Rob Euwals & Melanie Ward, 2005. "What matters most: teaching or research? Empirical evidence on the remuneration of British academics," Applied Economics, Taylor & Francis Journals, vol. 37(14), pages 1655-1672.
    14. Jordi Duch & Xiao Han T Zeng & Marta Sales-Pardo & Filippo Radicchi & Shayna Otis & Teresa K Woodruff & Luís A Nunes Amaral, 2012. "The Possible Role of Resource Requirements and Academic Career-Choice Risk on Gender Differences in Publication Rate and Impact," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-11, December.
    15. repec:wly:soecon:v:80:1:y:2013:p:127-146 is not listed on IDEAS
    16. Paul S. Carlin & Michael P. Kidd & Patrick M. Rooney & Brian Denton, 2013. "Academic Wage Structure by Gender: The Roles of Peer Review, Performance, and Market Forces," Southern Economic Journal, John Wiley & Sons, vol. 80(1), pages 127-146, July.
    17. Yonghong Xu, 2015. "Focusing on Women in STEM: A Longitudinal Examination of Gender-Based Earning Gap of College Graduates," The Journal of Higher Education, Taylor & Francis Journals, vol. 86(4), pages 489-523, 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. Yining Wang & Qiang Wu & Liangyu Li, 2024. "Examining the influence of women scientists on scientific impact and novelty: insights from top business journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3517-3542, June.
    2. Alexandre Truc & François Claveau & Catherine Herfeld & Vincent Larivière, 2024. "Gender Homogeneity in Philosophy and Methodology of Economics: Evidence from Publication Patterns," GREDEG Working Papers 2024-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Truc, Alexandre & Claveau, François & Herfeld, Catherine & Larivière, Vincent, 2024. "Gender Homogeneity in Philosophy and Methodology of Economics: Evidence from Publication Patterns," SocArXiv ck6s9, Center for Open Science.

    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. Hajibabaei, Anahita & Schiffauerova, Andrea & Ebadi, Ashkan, 2022. "Gender-specific patterns in the artificial intelligence scientific ecosystem," Journal of Informetrics, Elsevier, vol. 16(2).
    2. Ann Brower & Alex James, 2023. "Sticky Floors, Double-Binds, and Double Whammies: Adjusting for Research Performance Reveals Universities’ Gender Pay Gap is Not Disappearing," SAGE Open, , vol. 13(3), pages 21582440231, August.
    3. Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
    4. Chaojiang Wu & Erjia Yan & Yongjun Zhu & Kai Li, 2021. "Gender imbalance in the productivity of funded projects: A study of the outputs of National Institutes of Health R01 grants," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(11), pages 1386-1399, November.
    5. Josh Yamamoto & Eitan Frachtenberg, 2022. "Gender Differences in Collaboration Patterns in Computer Science," Publications, MDPI, vol. 10(1), pages 1-21, February.
    6. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2015. "Should the research performance of scientists be distinguished by gender?," Journal of Informetrics, Elsevier, vol. 9(1), pages 25-38.
    7. Jamal El-Ouahi & Vincent Larivière, 2023. "On the lack of women researchers in the Middle East and North Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4321-4348, August.
    8. Mohsen Jadidi & Fariba Karimi & Haiko Lietz & Claudia Wagner, 2018. "Gender Disparities In Science? Dropout, Productivity, Collaborations And Success Of Male And Female Computer Scientists," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(03n04), pages 1-23, May.
    9. Patricia E Salerno & Mónica Páez-Vacas & Juan M Guayasamin & Jennifer L Stynoski, 2019. "Male principal investigators (almost) don’t publish with women in ecology and zoology," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    10. Danula K. Gamage & Georgios Kavetsos & Sushanta Mallick & Almudena Sevilla, 2024. "Pay transparency intervention and the gender pay gap: Evidence from research‐intensive universities in the UK," British Journal of Industrial Relations, London School of Economics, vol. 62(2), pages 293-318, June.
    11. Parminder Bakshi-Hamm & Andreas Hamm, 2022. "Knowledge Production: Analysing Gender- and Country-Dependent Factors in Research Topics through Term Communities," Publications, MDPI, vol. 10(4), pages 1-37, November.
    12. Abdelghani Maddi & Yves Gingras, 2021. "Gender Diversity In Research Teams And Citation Impact In Economics And Management," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1381-1404, December.
    13. Mancuso, Raffaele & Rossi-Lamastra, Cristina & Franzoni, Chiara, 2023. "Topic choice, gendered language, and the under-funding of female scholars in mission-oriented research," Research Policy, Elsevier, vol. 52(6).
    14. Luke Holman & Devi Stuart-Fox & Cindy E Hauser, 2018. "The gender gap in science: How long until women are equally represented?," PLOS Biology, Public Library of Science, vol. 16(4), pages 1-20, April.
    15. Arjun Prakash & Jeevan John Varghese & Shruti Aggarwal, 2024. "Gender of gender studies: examining regional and gender-based disparities in scholarly publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4471-4493, July.
    16. Matthias Kuppler, 2022. "Predicting the future impact of Computer Science researchers: Is there a gender bias?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6695-6732, November.
    17. González-Álvarez, Julio & Cervera-Crespo, Teresa, 2017. "Research production in high-impact journals of contemporary neuroscience: A gender analysis," Journal of Informetrics, Elsevier, vol. 11(1), pages 232-243.
    18. Gen-Chang Hsu & Wei-Jiun Lin & Syuan-Jyun Sun, 2023. "Temporal trends in academic performance and career duration of principal investigators in ecology and evolutionary biology in Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3437-3451, June.
    19. Emre Özel, 2024. "What is Gender Bias in Grant Peer review?," Working Papers halshs-03862027, HAL.
    20. Vîiu, Gabriel-Alexandru, 2016. "A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation," Journal of Informetrics, Elsevier, vol. 10(2), pages 552-566.

    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:128:y:2023:i:2:d:10.1007_s11192-022-04513-4. 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.