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Is Acceleration Working?

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Abstract

Considerable time and money are being invested around the world in the belief that accelerators stimulate the growth of promising impact-oriented ventures. However, the current stock of evidence is inadequate to fully support this belief. The analyses in this chapter tackle this problem. While there are many ways that accelerators might justify the resources that are spent running them, a common set of expectations relates to their ability to stimulate short-term revenue, employment, and investment growth. The application and follow-up data introduced in Chap. 3 provide evidence of systematic short-term growth advantages for ventures that participate in accelerators compared to those that are rejected during the various selection processes. These accelerator effects are evident when looking at continuous variables measuring average year-over-year growth outcomes and categorical variables indicating positive versus negative growth. They are also evident among the very top-growing ventures in the sample. Even after accounting for the different starting points of participating and rejected ventures, accelerator program effects are still evident in the EDP data. This presents an optimistic first look at the effects of acceleration and a solid foundation for the analyses in the remainder of the book.

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Notes

  1. 1.

    Sandy Yu. 2016. How Do Accelerators Impact the Performance of High-Technology Ventures? Working paper.

  2. 2.

    Susan L. Cohen, Christopher B. Bingham & Benjamin L. Hallen. 2018. ‘The role of accelerator designs in mitigating bounded Rationality in new ventures.’ Administrative Science Quarterly, forthcoming.

  3. 3.

    Juanita Gonzalez-Uribe & Michael Leatherbee. 2017. ‘The effects of business accelerators on venture performance: Evidence from Start-Up Chile.’ The Review of Financial Studies, 31(4): 1566–1603.

  4. 4.

    Ketan, J. Goswami, Robert Mitchell & Suresh Bhagavatula. 2018. ‘Accelerator expertise: Understanding the intermediary role of accelerators in the development of the Bangalore entrepreneurial ecosystem.’ Strategic Entrepreneurship Journal, 12(1): 117–150.

  5. 5.

    See Accelerating Entrepreneurs: Insights from USAID’s Support of Intermediaries. United States Agency for International Development.

  6. 6.

    Accelerating Revenue Growth for SGBs in Central America: Lessons Learned from Ten Technoserve Cohorts.

  7. 7.

    Alejandro S. Amezcua, Matthew G. Grimes, Steven W. Bradley & Johan Wiklund. 2013. ‘Organizational sponsorship and founding environments: A contingency view on the survival of business-incubated firms, 1994–2007.’ Academy of Management Journal, 56(6): 1628–1654.

  8. 8.

    See https://www.merriam-webster.com/

  9. 9.

    Sandy Yu. 2016. How Do Accelerators Impact the Performance of High-Technology Ventures? Working paper.

  10. 10.

    Seemingly-unrelated regression is an efficient method for examining systems of equations in which the dependent variable differs across equations, but the errors terms are correlated. See Arnold Zellner. 1962. ‘An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias.’ Journal of the American Statistical Association, 57(298): 348–368.

  11. 11.

    Paul Robson, Charles Akuetteh, Ian Stone, Paul Westhead & Mike Wright. 2013 ‘Credit-rationing and entrepreneurial experience: Evidence from a resource deficit context.’ Entrepreneurship & Regional Development, 25 (5–6): 349–370; Eli Gimmon & Jonathan Levie. 2010. ‘Founder’s human capital, external investment, and the survival of new high-technology ventures.’ Research Policy, 39 (9): 1214–1226; M. Scarlata & L. Alemany. 2010. ‘Deal structuring in philanthropic venture capital investments: Financing instrument, valuation and covenants.’ Journal of Business Ethics, 95(2): 121–145.

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Roberts, P.W., Lall, S.A. (2019). Is Acceleration Working?. In: Observing Acceleration. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-00042-4_4

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