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Financing patterns in new technology-based firms: an extension of the pecking order theory

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  • Tommaso Minola
  • Lucio Cassia
  • Giuseppe Criaco

Abstract

Understanding financial strategies and patterns of new firms is crucial to the theoretical unravelling of the entrepreneurial process as well as to the elaboration of appropriate support programs from practitioner and policy maker. The aim of this paper is to investigate whether a pecking order theory underlies the financing strategies of new technology-based firms (NTBFs). From the analysis of previous literature on the subject, controversial results emerge: while some authors have confirmed a traditional pecking order theory for NTBFs, others, on grounds of NTBFs major financial constraints derived from higher information asymmetry, have proposed a revised pecking order, where access to equity (in particular private equity) occurs prior to debt. This research has been carried out applying an approach based on estimation of internal financial gap (Cosh et al., ECOJ 119:71494-1533, 2009) using data from the Kauffman Firm Survey. Additionally, we extend the pecking order prediction by examining the effect of human capital as determinants for financing decisions, given its crucial role in shaping entrepreneurial dynamics of NTBFs. Our results support the existence of a revised pecking order in the case of NTBFs; moreover entrepreneur's age and experience play a role in clarifying financial priorities of NTBFs.

Suggested Citation

  • Tommaso Minola & Lucio Cassia & Giuseppe Criaco, 2013. "Financing patterns in new technology-based firms: an extension of the pecking order theory," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 19(2), pages 212-233.
    • Handle: RePEc:ids:ijesbu:v:19:y:2013:i:2:p:212-233
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    Citations

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    Cited by:

    1. Joseph Farhat & Sharon Matusik & Alicia Robb & David T. Robinson, 2018. "New directions in entrepreneurship research with the Kauffman Firm Survey," Small Business Economics, Springer, vol. 50(3), pages 521-532, March.
    2. Pascal Aßmuth, 2018. "The Impact of Credit Rating on Innovation in a Two-Sector Evolutionary Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 839-872, October.
    3. A. I. Rybalka, 2020. "Relationship of Property Structure and Performance of High-Tech Technology Companies," Studies on Russian Economic Development, Springer, vol. 31(3), pages 264-270, May.
    4. Julien Salin & Nadine Levratto, 2020. "Are business angel-backed companies truly different? a comparative analysis of the financial structure," EconomiX Working Papers 2020-5, University of Paris Nanterre, EconomiX.
    5. Tommaso Minola & Silvio Vismara & Davide Hahn, 2017. "Screening model for the support of governmental venture capital," The Journal of Technology Transfer, Springer, vol. 42(1), pages 59-77, February.
    6. Ik MUO & Moruff Sanjo OLADIMEJI & O. I. OKUNBADEJO, 2020. "Financial Bootstrapping and Small Business Growth in Lagos Metropolis, Nigeria," Business & Management Compass, University of Economics Varna, issue 2, pages 198-213.
    7. Marcin Kedzior & Barbara Grabinska & Konrad Grabinski & Dorota Kedzior, 2020. "Capital Structure Choices in Technology Firms: Empirical Results from Polish Listed Companies," JRFM, MDPI, vol. 13(9), pages 1-20, September.
    8. Olga Guseva & Anastasia Stepanova, 2019. "Startups In Russia: Ownership Vs. Performance," HSE Working papers WP BRP 76/FE/2019, National Research University Higher School of Economics.
    9. Neville, Conor & Lucey, Brian M., 2022. "Financing Irish high-tech SMEs: The analysis of capital structure," International Review of Financial Analysis, Elsevier, vol. 83(C).
    10. M. Belén Guercio & Lisana B. Martinez & Aurelio F. Bariviera, 2019. "SME Steeplechase: When Obtaining Money Is Harder Than Innovating," IJFS, MDPI, vol. 7(2), pages 1-14, May.

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