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Public funds and local biotechnology firm creation

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  • Kolympiris, Christos
  • Kalaitzandonakes, Nicholas
  • Miller, Douglas

Abstract

A long stream of academic literature has established that public funding towards research and development matters for economic growth because it relates to increases in innovation, productivity and the like. The impact of public funding on the creation of new firms has received less attention in this literature despite theoretical constructs that support such association. In the present paper we study whether indeed there is a relationship between public research funds and local firm births in the context of the U.S. biotechnology industry. In doing so, we introduce a number of changes that strengthen the robustness of our findings when compared with existing literature. These changes include a direct measure of research expenditures and a considerably lengthier longitudinal dataset which allows us to capture a structural relationship and not a chance event. We empirically demonstrate that increases in the level of research funding from the National Institutes of Health towards biotechnology associate with increases in the number of biotechnology firm births at the Metropolitan Statistical Area level. Further, we reveal that public funds towards established firms associate with local firm births considerably more strongly when compared with funds towards universities and research institutes/hospitals. We conclude the paper with academic and policy implications of the present work that highlight the complexity of factors that underlie the creation of local firms in high technology industries.

Suggested Citation

  • Kolympiris, Christos & Kalaitzandonakes, Nicholas & Miller, Douglas, 2014. "Public funds and local biotechnology firm creation," Research Policy, Elsevier, vol. 43(1), pages 121-137.
  • Handle: RePEc:eee:respol:v:43:y:2014:i:1:p:121-137
    DOI: 10.1016/j.respol.2013.07.012
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    3. Paige Clayton & Maryann Feldman & Benjamin Montmartin, 2019. "Funding Emerging Ecosystems," GREDEG Working Papers 2019-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Loredana Lucci, 2022. "Meso e macro determinants of the entrepreneurial success in university spin-offs," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(1), pages 1-4.
    5. Jiyoung Kimjeon & Per Davidsson, 2022. "External Enablers of Entrepreneurship: A Review and Agenda for Accumulation of Strategically Actionable Knowledge," Entrepreneurship Theory and Practice, , vol. 46(3), pages 643-687, May.
    6. Kenneth Zahringer & Christos Kolympiris & Nicholas Kalaitzandonakes, 2017. "Academic knowledge quality differentials and the quality of firm innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(5), pages 821-844.
    7. Christos Kolympiris & Sebastian Hoenen & Nicholas Kalaitzandonakes, 2018. "Geographic distance between venture capitalists and target firms and the value of quality signals," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(1), pages 189-220.
    8. Hoenen, Sebastian & Kolympiris, Christos & Schoenmakers, Wilfred & Kalaitzandonakes, Nicholas, 2014. "The diminishing signaling value of patents between early rounds of venture capital financing," Research Policy, Elsevier, vol. 43(6), pages 956-989.
    9. Colombo, Massimo G. & Guerini, Massimiliano & Hoisl, Karin & Zeiner, Nico M., 2023. "The dark side of signals: Patents protecting radical inventions and venture capital investments," Research Policy, Elsevier, vol. 52(5).
    10. Colombo, Massimo G. & Meoli, Michele & Vismara, Silvio, 2019. "Signaling in science-based IPOs: The combined effect of affiliation with prestigious universities, underwriters, and venture capitalists," Journal of Business Venturing, Elsevier, vol. 34(1), pages 141-177.

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    More about this item

    Keywords

    Biotechnology; Firm birth; Federal funding; NIH; MSA;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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