Modeling the Survival Time of Trading Companies in the Zachodniopomorskie Voivodship

Iwona Markowicz

doi:10.18778/0208-6018.337.06

Authors

Iwona Markowicz University of Szczecin, Faculty of Economics and Management, Institute of Econometrics and Statistics

DOI:

https://doi.org/10.18778/0208-6018.337.06

Keywords:

models of firms’ lifespan, intensity function of firms’ liquidation, trading companies

Abstract

The aim of this study was to construct models of trading companies’ lifespan, in individual districts of Zachodniopomorskie Voivodship. The author verified whether the impact of the survival time of trading companies on the survival function in general is the same in individual districts. This may inform potential entrepreneurs’ decisions on whether to set up a trading or other company. The Kaplan‑Meier estimator was calculated and a tests verifying similarities of functions of trading companies within the districts was used. Districts were then divided into groups, according to trading companies’ lifespan. Further on, the functions of the intensity of companies’ liquidation for particular districts were analysed. The rankings of districts were compared in terms of the lifespan of trading companies and businesses in total. In the study, the author used REGON registry, containing data about companies established in Zachodniopomorskie Voivodship in 2009–2011. These entities were observed until the end of 2013. It is something to be considered by both decision makers and entrepreneurs, that the probability of liquidation of a trading company is greater than of any other company. Trading activity is prevailing (the highest percentage of all newly established companies are trading companies), however, trading companies are also most in danger of liquidation.

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References

Balicki A. (2006), Analiza przeżycia i tablice wymieralności, PWE, Warszawa.

Bhattacharjee A. (2005), Models of Firm Dynamics and the Hazard Rate of Exits: Reconciling Theory and Evidence using Hazard Regression Models, CRIEFF Discussion Papers 0502, Centre for Research into Industry, Enterprise, Finance and the Firm, University of St. Andrews, St. Andrews.

Carroll G.R., Hannan M.T. (2000), The Demography of Corporations and Industries, Princeton University Press, Princeton.

Caves R.E. (1998), Industrial Organization and New Findings on the Turnover and Mobility of Firms, “Journal of Economic Literature”, vol. 36(4), pp. 1947–1982. doi: http://dx.doi.org/10.4337/9780857938947.00027.

Domański Cz., Pekasiewicz D., Baszczyńska A., Witaszczyk A. (2014), Testy statystyczne w procesie podejmowania decyzji, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.

Frątczak E., Gach‑Ciepiela U., Babiker H. (2005), Analiza historii zdarzeń. Elementy teorii, wybrane przykłady zastosowań, Szkoła Główna Handlowa, Warszawa.

Gehan E.A. (1965), A Generalized Two‑Sample Wilcoxon Test for Double‑Censored Data, “Biometrika”, vol. 52, no. 3–4, pp. 203–223.

Geroski P.A., Mata J., Portugal P. (2010), Founding Conditions and the Survival of New Firms, “Strategic Management Journal”, vol. 31(5), pp. 510–529.

Hannan M.T., Freeman J. (1989), Organizational Ecology, Harvard University Press, Cambridge.

Kaniovski S., Peneder M. (2008), Determinants of Firm Survival: A Duration Analysis using the Generalized Gamma Distribution, “Empirica”, vol. 35(1), pp. 41–58. doi: http://dx.doi.org/10.1007/s10663–007–9050–3.

Kaplan E.L., Meier P. (1958), Nonparametric Estimation from Incomplete Observations, “Journal of the American Statistical Association”, vol. 53, no. 282, pp. 457–481.

Kleinbaum D.G., Klein M. (2005), Survival Analysis, Springer, New York.

Lopez‑Garcia P., Puente S. (2006), Business Demography in Spain: Determinants of Firm Survival, Documentos de Trabajo No 0608, Banco de España, Madrid, doi: http://dx.doi.org/10.2139/ssrn.901153.

Markowicz I. (2012), Statystyczna analiza żywotności firm, Wydawnictwo Naukowe Uniwersytetu Szczecińskiego, Szczecin.

Markowicz I. (2014), Business Demography – Statistical Analysis of Firm Duration, “Transformations in Business & Economics”, vol. 13, no. 2B(32B), pp. 801–817.

Markowicz I. (2015), Duration Analysis of Firms – Cohort Tables and Hazard Function, “International Journal of Business and Social Research”, vol. 5, issue 11, pp. 36–47.

Markowicz I. (2016), Tablice trwania firm w województwie zachodniopomorskim według rodzaju działalności, “Taksonomia 26. Prace Naukowe UE we Wrocławiu”, no. 426, pp. 108–117.

Markowicz (2017a), The Differentiation of Firm Survival Models in the Poviats of the Zachodniopomorskie Voivodeship, “Acta Universitatis Lodziensis. Folia Oeconomica”, vol. 4(330), pp. 7–17.

Markowicz (2017b), Duration Model of Enterprises – Analysis of Territorial Groups, Institute of Economic Research Working Papers, no. 71/2017, Toruń.

Nunes A., de Morais Sarmento E. (2012), Business Demography Dynamics in Portugal: A Non‑Parametric Survival Analysis, [in:] J. Bonnet, M. Dejardin, A. Madrid‑Guijarro (eds.), The Shift to the Entrepreneurial Society. A Built Economy in Education, Sustainability and Regulation, Edward Elgar Publishing, Cheltenham, doi: http://dx.doi.org/10.4337/9780857938947.00027.

Rossa A. (2005), Metody estymacji rozkładu czasu trwania zjawisk dla danych cenzurowanych oraz ich zastosowania, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.

Santarelli E. (2000), The duration of new firms in banking: an application of Cox regression analysis, “Empirical Economics”, vol. 25(2), pp. 315–325, doi: http://dx.doi.org/10.1007/s001810000019.