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The Determinants of Export Performance of Firms in Selected MENA Countries: Comparison with CEE Countries, Israel and Turkey

100%
Cieślik A., Michałek J. J., Tovias A.
Central European Economic Journal
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2017
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vol. 2
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issue 49
EN
In this paper, we study the export performance determinants of firms in selected MENA countries, both jointly and separately, as well as compare them with the performance of firms from countries in Central and Eastern Europe (CEE). The analysis is based on information about individual firms found in the European Bank for Reconstruction and Development (EBRD) and World Bank Business Environment and Enterprise Performance Survey (BEEPS) V database, covering the period 2011-2014. We estimate the probability of exports, while controlling for country- and sector-specific effects, using the probit model. We find that, in both groups of countries, similar variables affect firm export performance. Our empirical results obtained for Middle East and North Africa (MENA) and CEE countries indicate that the probability of exporting is positively related to the level of productivity, firm size, spending on research and development (R&D), the share of university graduates in productive employment and the internationalization of firms. State ownership and the perception of corruption by firms are mostly not statistically significant. The results obtained for the two groups of countries are statistically not very different, but enough to have some policy implications, while results for particular countries and subgroups of countries reveal a large degree of heterogeneity.
2
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Methods of Analysis of Factors Determining Tourist Attractiveness of Districts

100%
Czyżycki R., Chair of Quantitative Methods U. o. S.
Acta Universitatis Lodziensis. Folia Oeconomica
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2009
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vol. 228
PL
Atrakcyjność turystyczna danej gminy najczęściej utożsamiana jest z odpowiednią strukturą określonych czynników, charakteryzujących taką gminę. W naukach zajmujących się analizą ilościowej strony zjawisk społecznogospodarczych istnieje szereg technik i narzędzi pozwalających nie tylko na wykrycie czynników determinujących atrakcyjność określonych obszarów, ale także opisujących wpływ tych czynników na badaną atrakcyjność. Bardzo rzadko w tym celu wykorzystywane są funkcje logitowe i probitowe. Funkcje te ze swojej natury znajdują zastosowanie przede wszystkim do szacowania prawdopodobieństwa wystąpienia określonego zjawiska, najczęściej jakościowego. Dlatego też są powszechnie wykorzystywane do oceny zdolności kredytowej czy też określenia prawdopodobieństwa upadku przedsiębiorstwa. Jednak przy określonym zdefiniowaniu prawdopodobieństwa, funkcje te mogą być wykorzystane do oceny wpływu określonych czynników na stopień atrakcyjności turystycznej gmin. Rozważania w tym zakresie zostaną przeprowadzone dla gmin miejskich w województwie zachodniopomorskim.
EN
Tourist attractiveness of communities mostly depends on structures of factors which describing them. There is many methods and techniques detecting factors of attractiveness or describing relationships between them in the socio-economic sciences. The paper show a trial of using probit and logit functions to detect and describe factors related with tourist attractiveness.
3
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Logit and Probit application for the prediction of bankruptcy in Slovak companies

88%
Kovacova M., Kliestik T.
Equilibrium. Quarterly Journal of Economics and Economic Policy
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2017
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vol. 12
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issue 4
775-791
EN
Research background: Prediction of bankruptcy is an issue of interest of various researchers and practitioners since the first study dedicated to this topic was published in 1932. Finding the suitable bankruptcy prediction model is the task for economists and analysts from all over the world. forecasting model using. Despite a large number of various models, which have been created by using different methods with the aim to achieve the best results, it is still challenging to predict bankruptcy risk, as corporations have become more global and more complex. Purpose of the article: The aim of the presented study is to construct, via an empirical study of relevant literature and application of suitable chosen mathematical statistical methods, models for bankruptcy prediction of Slovak companies and provide the comparison of overall prediction ability of the two developed models. Methods: The research was conducted on the data set of Slovak corporations covering the period of the year 2015, and two mathematical statistical methods were applied. The methods are logit and probit, which are both symmetric binary choice models, also known as conditional probability models. On the other hand, these methods show some significant differences in process of model formation, as well as in achieved results. Findings & Value added: Given the fact that mostly discriminant analysis and logistic regression are used for the construction of bankruptcy prediction models, we have focused our attention on the development bankruptcy prediction model in the Slovak Republic via logistic regression and probit. The results of the study suggest that the model based on a logit functions slightly outperforms the classification accuracy of probit model. Differences were obtained also in the detection of the most significant predictors of bankruptcy prediction in these types of models constructed in Slovak companies.
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