IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp11711.html

Money for Something: The Links between Research Funding and Innovation

Author

Listed:
  • Glennon, Britta

    (University of Pennsylvania)

  • Lane, Julia

    (New York University)

  • Sodhi, Ridhima

    (New York University)

Abstract

Federal research funding to universities is often based on a desire to stimulate innovation – so that they spend taxpayer money for "something". There is growing understanding of the need to change the structure of research funding in order to do so; less is known about the effectiveness of different organizational structures. Yet, as Jones has pointed out, increasing the efficiency with which we transfer knowledge from one generation to the next could have important implications for innovation and productivity growth. In this paper we use new data to examine how the main organizational structure used to train the next generation of scientists and inventors – teams funded by research grants – leads to innovative activity as measured by patents.

Suggested Citation

  • Glennon, Britta & Lane, Julia & Sodhi, Ridhima, 2018. "Money for Something: The Links between Research Funding and Innovation," IZA Discussion Papers 11711, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp11711
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp11711.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February.
    2. Ikudo, Akina & Lane, Julia & Staudt, Joseph & Weinberg, Bruce A., 2018. "Occupational Classifications: A Machine Learning Approach," IZA Discussion Papers 11738, IZA Network @ LISER.
    3. Vincent Larivière & Yves Gingras & Cassidy R. Sugimoto & Andrew Tsou, 2015. "Team size matters: Collaboration and scientific impact since 1900," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1323-1332, July.
    4. 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.
    5. Pierre Azoulay, 2012. "Turn the scientific method on ourselves," Nature, Nature, vol. 484(7392), pages 31-32, April.
    6. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    7. Lane, Julia I. & Owen-Smith, Jason & Rosen, Rebecca F. & Weinberg, Bruce A., 2015. "New linked data on research investments: Scientific workforce, productivity, and public value," Research Policy, Elsevier, vol. 44(9), pages 1659-1671.
    8. Freeman, Richard B. & Goroff, Daniel L (ed.), 2009. "Science and Engineering Careers in the United States," National Bureau of Economic Research Books, University of Chicago Press, number 9780226261898, October.
    9. Whittington, Kjersten Bunker, 2018. "“A tie is a tie? Gender and network positioning in life science inventor collaboration”," Research Policy, Elsevier, vol. 47(2), pages 511-526.
    10. Lee, You-Na & Walsh, John P. & Wang, Jian, 2015. "Creativity in scientific teams: Unpacking novelty and impact," Research Policy, Elsevier, vol. 44(3), pages 684-697.
    11. Nada Wasi & Aaron Flaaen, 2015. "Record linkage using Stata: Preprocessing, linking, and reviewing utilities," Stata Journal, StataCorp LLC, vol. 15(3), pages 672-697, September.
    12. Jason Owen-Smith & Walter W. Powell, 2004. "Knowledge Networks as Channels and Conduits: The Effects of Spillovers in the Boston Biotechnology Community," Organization Science, INFORMS, vol. 15(1), pages 5-21, February.
    13. Jiri Vanecek, 2014. "The effect of performance-based research funding on output of R&D results in the Czech Republic," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 657-681, January.
    14. Cummings, Jonathon N. & Kiesler, Sara, 2007. "Coordination costs and project outcomes in multi-university collaborations," Research Policy, Elsevier, vol. 36(10), pages 1620-1634, December.
    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. Broström, Anders, 2019. "Academic breeding grounds: Home department conditions and early career performance of academic researchers," Research Policy, Elsevier, vol. 48(7), pages 1647-1665.
    2. Chang, Wan-Ying & Cheng, Wei & Lane, Julia & Weinberg, Bruce, 2019. "Federal funding of doctoral recipients: What can be learned from linked data," Research Policy, Elsevier, vol. 48(6), pages 1487-1492.

    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. Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.
    2. Zhu, Nibing & Liu, Chang & Yang, Zhilin, 2021. "Team Size, Research Variety, and Research Performance: Do Coauthors’ Coauthors Matter?," Journal of Informetrics, Elsevier, vol. 15(4).
    3. Liu, Meijun & Jaiswal, Ajay & Bu, Yi & Min, Chao & Yang, Sijie & Liu, Zhibo & Acuña, Daniel & Ding, Ying, 2022. "Team formation and team impact: The balance between team freshness and repeat collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    4. Haeussler, Carolin & Sauermann, Henry, 2020. "Division of labor in collaborative knowledge production: The role of team size and interdisciplinarity," Research Policy, Elsevier, vol. 49(6).
    5. Xiang Zheng & Jiajing Chen & Erjia Yan & Chaoqun Ni, 2023. "Gender and country biases in Wikipedia citations to scholarly publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 219-233, February.
    6. Chollet, Barthélemy & Revet, Karine, 2023. "Digging deep or scratching the surface? Contingent innovation outcomes of seeking advice from geographically distant ties," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    7. Kjersten Bunker Whittington & Molly M. King & Isabella Cingolani, 2024. "Structure, status, and span: gender differences in co-authorship networks across 16 region-subject pairs (2009–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(1), pages 147-179, January.
    8. Marek Kwiek & Wojciech Roszka, 2022. "Are female scientists less inclined to publish alone? The gender solo research gap," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1697-1735, April.
    9. Walsh, John P. & Lee, You-Na & Nagaoka, Sadao, 2016. "Openness and innovation in the US: Collaboration form, idea generation and implementation," Research Policy, Elsevier, vol. 45(8), pages 1660-1671.
    10. Philip Cooke, 2009. "The Economic Geography Of Knowledge Flow Hierarchies Among Internationally Networked Medical Bioclusters: A Scientometric Analysis," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 100(3), pages 332-347, July.
    11. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
    12. Josh Yamamoto & Eitan Frachtenberg, 2022. "Gender Differences in Collaboration Patterns in Computer Science," Publications, MDPI, vol. 10(1), pages 1-21, February.
    13. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
    14. Lee, Jangwook & Chung, Jiyoon, 2022. "Women in top management teams and their impact on innovation," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    15. Youwei Tan & Zhihui Gu & Yu Chen & Jiayun Li, 2022. "Industry Linkage and Spatial Co-Evolution Characteristics of Industrial Clusters Based on Natural Semantics—Taking the Electronic Information Industry Cluster in the Pearl River Delta as an Example," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    16. Feldman, Maryann P. & Kogler, Dieter F., 2010. "Stylized Facts in the Geography of Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 381-410, Elsevier.
    17. repec:osf:socarx:3fapz_v1 is not listed on IDEAS
    18. Benner, Maximilian, 2009. "What do we know about clusters? In search of effective cluster policies," MPRA Paper 43848, University Library of Munich, Germany, revised 2009.
    19. Bettencourt, Luis M.A. & Lobo, Jose & Strumsky, Deborah, 2007. "Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size," Research Policy, Elsevier, vol. 36(1), pages 107-120, February.
    20. 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.
    21. Thamyres T. Choji & Manuel J. Cobo & Jose A. Moral-Munoz, 2024. "Is the scientific impact of the LIS themes gender-biased? A bibliometric analysis of the evolution, scientific impact, and relative contribution by gender from 2007 to 2022," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 6023-6047, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:iza:izadps:dp11711. 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: Mark Fallak (email available below). General contact details of provider: https://edirc.repec.org/data/izaaalu.html .

    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.