The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context 
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Keywords

entrepreneurial activity
early entrepreneurs
financial choice factors
Fisher’s linear discriminant
borrowed funds
love capital
cross-country comparisons
contextual approach

How to Cite

ObraztsovaO., PoliakovaT., & PopovskayaE. (2017). The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context . Foresight and STI Governance, 11(3), 71-81. https://doi.org/10.17323/2500-2597.2017.3.71.81

Abstract

Despite the government’s efforts to support entrepreneurship, the major share of start-up funding in transitional economies comes from the owners’ own funds and ‘‘love capital’’ rather than from institutional sources (banks, venture funds, etc.). This increases the asymmetry of information concerning the capabilities of the emerging businesses for potential investors, and thus hinders the development of entrepreneurship as a whole.
The paper considers the key determinants affecting the decisions made by entrepreneurial start-ups when choosing from a number of ways to finance their business in transitional economies. An attempt has been made to build models for an adequate prediction of the financial strategies of early entrepreneurs. A number of hypotheses have been put forward to verify external and internal factors influencing the financial choices of early entrepreneurs.
Hypotheses were tested on a survey sample of early entrepreneurs from seven transitional economies, including Russia. The predictive values of the final models proved to be effective in predicting start-ups’ financial strategies and in comparing the probability of early entrepreneurs borrowing capital. Our findings confirm that the combinations of external and internal financing differ significantly depending on the national macroeconomic and social context. Given that simple borrowing mechanisms for supporting a business can lead to an undesirable tendency to avoid formal borrowed funds altogether, such behavior can hinder the development of entrepreneurship. The obtained results show that pessimistic short-term expectations about the conditions for entrepreneurship in a region aggravate this problem in Russia. The outcomes demonstrate a need to reduce the burden on start-up businesses and to improve innovative entrepreneurial aspirations by encouraging high confidence in a start-up’s future and find the optimal proportion of borrowed sources in a business’s capital structure. 

https://doi.org/10.17323/2500-2597.2017.3.71.81
PDF (Русский)
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References

Aidis R. (2005) Entrepreneurship in transition countries: A review. UCL School of Slavonic and East European Studies Working Paper № 61, December. London: University College London.

Antoniou A., Guney Y., Paudyal K. (2008) The Determinants of Capital Structure: Capital Market-oriented versus Bank-oriented Institutions // Journal of Financial and Quantitative Analysis. Vol. 43. № 1. Р. 59-92.

Audretsch D., Thurik R. (2004) A Model of the Entrepreneurial Economy // International Journal of Entrepreneurship Education. Vol. 2. № 2. Р. 143-166.

Beck T., Demirguc-Kunt A., Maksimovic V. (2008) Financing Patterns around the World: Are Small Firms Different? // Journal of Financial Economics. Vol. 89. № 3. Р. 467-487.

Berger A., Christa H.S., Bouwman T.K., Schaeck K. (2010) Bank liquidity creation and risk taking during distress. Discussion Paper Series 2, № 05/2010. Berlin: Deutsche Bundesbank.

Black L.K. (2009) Information Asymmetries between Lenders and the Availability of Competitive Outside Offers. Paper presented at the Workshop on Entrepreneurial Finance hosted by the Federal Reserve Bank of Cleveland and Kauffman Foundation, Cleveland, OH, March 2009.

Bühl A., Zöfel P. (2001) SPSS version 10. Einführung in die modern Datenanalyse unter Windows, München: Pearson Education Deutschland GmbH.

Chavis L., Klapper L., Love I. (2011) The Impact of the Business Environment on Young Firm Financing // The World Bank Economic Review. Vol. 25. № 3. Р. 486-507.

Djankov S., Murrell P. (2002) Enterprise Restructuring in Transition: A Quantitative Survey // Journal of Economic Literature. Vol. 40. № 3. Р. 739-793.

Fawcett T. (2006) An Introduction to ROC Analysis // Pattern Recognition Letters. Vol. 27. № 8. Р. 861-874. DOI: https://doi.org/10.1016/j.patrec.2005.10.010

Fisher R.A. (1936) The use of multiple measurements in taxonomic problems // Annals of Eugenics. Vol. 7. P. 179-188.

GERA (2017) GEM Global Report 2016/17. London: Global Entrepreneurship Research Association.

Glas M., Drnovsek M., Mirtic D. (2000) Problems faced by new entrepreneurs: Slovenia and Croatia - A Comparison. Paper presented at the 30th ESBS Seminar, Gent.

Hashi I. (2001) Financial and Institutional Barriers to SME Growth in Albania: Results of an Enterprise Survey // MOST. Vol. 11. P. 221-238.

Holm S. (1979) A simple sequentially rejective multiple test procedure // Scandinavian Journal of Statistics. Vol. 6. № 2. Р. 65-70.

Klapper L., Laeven L., Rajan R. (2006) Barriers to Entrepreneurship // Journal of Financial Economics. Vol. 82. № 3. Р. 591-629.

Levine R. (2005) Finance and Growth: Theory and Evidence // Handbook of Economic Growth / Eds. P. Aghion, S. Durlauf. Amsterdam: Elsevier. P. 865-934.

McLachlan G.J. (2004) Discriminant Analysis and Statistical Pattern Recognition. Hoboken, NJ: Wiley Interscience.

Murzacheva E. (2011) The input of informal capital into the entrepreneurial activity in the international context // Theory of Entrepreneurship: New Results and Prospects (Research papers) / Ed. A. Chepurenko. Moscow: HSE Publishing. P. 103-135.

Powers D.M.W. (2011) Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness & Correlation // Journal of Machine Learning Technologies. Vol. 2. № 1. P. 37-63.

Reynolds P., Bosma N., Autio E. (2005) Global Entrepreneurship Monitor: Data Collection Design and Implementation 1998-2003 // Small Business Economics. Vol. 24. № 3. Р. 205-231.

Robb А., Robinson D. (2010) The Capital Structure Decisions of New Firms. NBER Working Paper № 16272. Cambridge, MA: National Bureau of Economic Research.

Shane S., Venkataraman S. (2000) The Promise of Entrepreneurship as a Field of Research // The Academy of Management Review. Vol. 25. № 1. Р. 217-226.

Verheul I., Thurik R. (2001) Start-Up Capital: Does Gender Matter? // Small Business Economics. Vol. 16. № 4. Р. 29-45.

Welter F. (2011) Contextualizing Entrepreneurship - Conceptual Challenges and Ways Forward // Entrepreneurship Theory and Practice. Vol. 35. № 1. Р. 165-184.

Welter F., Smallbone D. (2011) Institutional Perspectives on Entrepreneurial Behavior in Challenging Environments // Journal of Small Business Management. Vol. 49. № 1. Р. 107-125.

Yang J.S., Kuntchev V., Ramalho R., Rodriguez-Meza J. (2013) What have we learned from the Enterprise Surveys regarding access to finance by SMEs? (Policy Research Working Paper WPS6670), Washington, D.C.: World Bank.

Герасимова С.М. (2012) Эмпирические исследования структуры капитала компаний на развивающихся рынках: специфика и методология // Корпоративные финансы. Т. 6. № 1. С. 97-109.

Мурзачева Е.И., Образцова О.И. (2008) Неформальные инвесторы как основные спонсоры российского нарождающегося предпринимательства: выбор в условиях дорогого кредита // Финансы и бизнес. № 3. С. 145-153.

Наследов А. (2011) SPSS 19: Профессиональный статистический анализ данных. СПб.: «Питер».

Образцова О.И. (2010) GEM как источник альтернативной статистики для сравнительного межстранового анализа предпринимательской активности // Теория предпринимательства в России. По материалам Глобального мониторинга предпринимательства / Под ред. Т.А. Алимовой, О.И. Образцовой, А.Ю. Чепуренко. М.: ГУ-ВШЭ. С. 18-62.

Эфрон Б. (1988) Нетрадиционные методы многомерного статистического анализа. М: Финансы и статистика.

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