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Assessing Regional Entrepreneurship: A Bootstrapping Approach in Data Envelopment Analysis

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  • Ioannis E. Tsolas

    (School of Applied Mathematical and Physical Sciences, National Technical University of Athens, 15780 Athens, Greece)

Abstract

The aim of the present paper is to demonstrate the viability of using data envelopment analysis (DEA) in a regional context to evaluate entrepreneurial activities. DEA was used to assess regional entrepreneurship in Greece using individual measures of entrepreneurship as inputs and employment rates as outputs. In addition to point estimates, a bootstrap algorithm was used to produce bias-corrected metrics. In the light of the results of the study, the Greek regions perform differently in terms of converting entrepreneurial activity into job creation. Moreover, there is some evidence that unemployment may be a driver of entrepreneurship and thus negatively affects DEA-based inefficiency. The derived indicators can serve as diagnostic tools and can also be used for the design of various interventions at the regional level.

Suggested Citation

  • Ioannis E. Tsolas, 2022. "Assessing Regional Entrepreneurship: A Bootstrapping Approach in Data Envelopment Analysis," Stats, MDPI, vol. 5(4), pages 1-10, November.
  • Handle: RePEc:gam:jstats:v:5:y:2022:i:4:p:73-1230:d:986332
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    3. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    4. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    5. Silva, Pedro Mendonça & Moutinho, Victor Ferreira & Moreira, António Carrizo, 2022. "Do social and economic factors affect the technical efficiency in entrepreneurship activities? Evidence from European countries using a two-stage DEA model," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    6. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    7. Kai Du & Allan O’Connor, 2018. "Entrepreneurship and advancing national level economic efficiency," Small Business Economics, Springer, vol. 50(1), pages 91-111, January.
    8. Gartner, William B. & Shane, Scott A., 1995. "Measuring entrepreneurship over time," Journal of Business Venturing, Elsevier, vol. 10(4), pages 283-301, July.
    9. Avkiran, Necmi Kemal, 1999. "The evidence on efficiency gains: The role of mergers and the benefits to the public," Journal of Banking & Finance, Elsevier, vol. 23(7), pages 991-1013, July.
    10. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    11. Douglas D. Evanoff & Philip R. Israilevich, 1991. "Productive efficiency in banking," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 15(Jul), pages 11-32.
    12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    13. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    14. Harold Fried & Loren Tauer, 2015. "An entrepreneur performance index," Journal of Productivity Analysis, Springer, vol. 44(1), pages 69-77, August.
    15. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    16. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    17. Gartner, William B., 1990. "What are we talking about when we talk about entrepreneurship?," Journal of Business Venturing, Elsevier, vol. 5(1), pages 15-28, January.
    18. Ryan Sutter & Roger R. Stough, 2009. "Measuring entrepreneurship and knowledge capital: Metropolitan economic efficiency in the USA1," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 21(4), pages 351-373, July.
    19. Esteban Lafuente & László Szerb & Zoltan J. Acs, 2016. "Country level efficiency and national systems of entrepreneurship: a data envelopment analysis approach," The Journal of Technology Transfer, Springer, vol. 41(6), pages 1260-1283, December.
    20. Anders Lundström & Lois A. Stevenson, 2005. "Entrepreneurship Policy: Theory and Practice," International Studies in Entrepreneurship, Springer, number 978-0-387-24202-6, December.
    21. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    22. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
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