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EU Crisis Management and Conflict Prevention. Identifying Institutional Constrains for Early Warning Analysis Utilization

100%
Stępka M.
Politeja : Pismo Wydziału Studiów Miedzynarodowych i Politycznych Uniwersytetu Jagiellońskiego
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2017
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issue 49
127-142
EN
Early warning systems are responsible for monitoring crisis situations and generating warning signals of situations which escalate and pose a threat to international and human security. The application of this instrument often determines the success of preventive measures and efficiency of further crisis management. Being aware of the importance of this mechanism, the EU invested substantial resources for its development within the CFSP/CSDP framework. Nonetheless, the faulty institutional design and insufficient analytical capabilities of the EEAS put the applicability of the system in question. The article analyses a set of early warning institutional arrangements embedded in CFSP/CSDP institutional structure. In doing so, it describes and examines the main institutional and systemic constrains of early warning utilization in the EU conflict prevention framework.
2
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Financial threat profiles of industrial enterprises in Poland

88%
Kaczmarek J., Alonso S. L. N., Sokołowski A., Fijorek K., Denkowska S.
Oeconomia Copernicana
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2021
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vol. 12
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issue 2
463-498
EN
Research background: The nature of bankruptcy has been the subject of interest for economic theories, both positive-identifying relationships between bankruptcy and other economic categories - and normative, shaping the rules for the proper regulation of bankruptcy. In turn, the functioning of an enterprise in conditions of risk, financial threat, and finally a crisis that could lead to bankruptcy, are of interest to management. The interpenetration of these two dimensions provided the motivation for this study, which assumes a bottom-up approach: from individual results to summarised multi-sectional comparisons. Purpose of the article: The purpose of the research was to evaluate the level, directions of change, and structure of the degree of financial threat in industrial enterprises. The period under analysis was 2007-2018 and the whole population of industrial enterprises in Poland (15,999 entities) was examined. The enterprises were small and medium-sized enterprises (SMEs) as well as large enterprises (LEs). The financial analysis covered macro-, meso-, and microeconomic levels. Methods: The analysis was conducted using a comparative approach and financial threat predictions obtained from the original multivariable logit model. Heat maps were used to evaluate the intensity of changes in financial threat. The displacement of objects in structures was studied, ordered, and classified. Four normative standards of threat scenarios were defined and then used to evaluate similarities in the profiles of the structures examined, using the similarity measure. The ranking and its variability were analysed in the assessment of profiles. Findings & value added: As the result of the research, properties were described and profiles were determined for the structures in terms of the degree of threat and its correlation with rate of bankruptcy and creating added value. The originality of the research comes from the use of novel dynamic logit models. The added value is a unique study on the entire population of industrial enterprises in the national economy and a methodology for identifying financial threat profiles and their similarity at subsequent aggregation levels (the micro-, meso-, and macro-levels). This made it possible to derive patterns and regularities for economic policy and guidelines for business management.
3

Kultura organizacyjna jako element systemów wczesnego ostrzegania

63%
Sołkowicz K.
Roczniki Ekonomii i Zarządzania
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2009
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vol. 1(37)
77-97
EN
In the article early warning systems identifying the threat of bankruptcy of a company are presented. However, the main aim of the article is to point to organization culture as a potential indicator allowing prediction of bankruptcy of a company. Also selected conceptions of organization culture and the functions it can perform in a company are presented. It is worth noting that organization culture is a unique source for a company that can be one of the indicators of its condition. In the author’s opinion the issue of using organization culture as an element of early warning systems against company bankruptcy comprises important social and economic processes changing the way the company is managed. To be sure, determining indicators that evaluate organization culture and on this basis constructing the discriminative function may be immensely difficult, but this problem was not the subject of the present article.
4
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Przewidywanie upadłości polskich przedsiębiorstw - zastosowanie analizy dyskryminacyjnej. Wyniki badań pilotażowych

63%
Kokczyński B.
Współczesna Gospodarka
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2023
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vol. 17
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issue 2 (41)
81-94
EN
The aim of the article is to present preliminary research results in the field of bankruptcy prediction models and compare methods of variable selection for the model. Whether models based on variables eliminated based on mutual correlation show better prediction than models with arbitrarily selected variables. The problem of bankruptcy in the economy is particularly significant in times of economic crisis. According to the PIE report, Poland and other European Union economies are expected to experience a clear slowdown in 2023. The number of corporate bankruptcies in Poland in the fourth quarter of 2022 amounted to 112, which was 28.7% higher than in the corresponding period of the previous year, according to the GUS report. Discriminant analysis was the method used in the research. In 6 models, indicators for constructing the discriminant function were selected by eliminating the most correlated variables. In 4 models, indicators were chosen arbitrarily. The conducted research revealed that statistical methods of variable selection for models are more effective than arbitrary selection of variables. The best prediction was observed in models based on data one year before bankruptcy. In the test sample, the models correctly classified 62.5% of non-bankrupt companies and 87.5% of bankrupt companies. Additionally, a comparative analysis of misclassified entities by the models was conducted. It was found that the models misclassified the same companies. This may indicate atypical cases that, with a small database, have a high percentage share in classification errors.
PL
Celem artykułu jest prezentacja wyników wstępnych badań z zakresu modeli predykcji bankructwa oraz porównanie metod doboru zmiennych do modelu. Czy modele oparte na zmiennych eliminowanych na podstawie siły wzajemnej korelacji cechują się lepszą predykcją, niż modele ze zmiennymi dobranymi arbitralnie. Problem bankructwa w gospodarce jest szczególnie istotny w warunkach kryzysu gospodarczego. Według raportu PIE Polskę i pozostałe gospodarki Unii Europejskiej czeka wyraźne spowolnienie w roku 2023. Liczba upadłości przedsiębiorstw w Polsce w IV kwartale 2022 roku wyniosła 112 i była o 28,7% większa niż w analogicznym okresie roku poprzedniego, według raportu GUS. Metodą stosowaną w badaniach była analiza dyskryminacyjna. W 6 modelach wskaźniki do budowy funkcji dyskryminacyjnej zostały dobrane za pomocą eliminacji najbardziej skorelowanych zmiennych. W 4 modelach wskaźniki zostały wybrane arbitralnie. W wyniku przeprowadzonych badań ustalono, że metody statystyczne doboru zmiennych do modeli, są skuteczniejsze od arbitralnego wyboru zmiennych. Najlepszą predykcją cechowały się modele oparte na danych na rok przed bankructwem. W próbie testowej modele prawidłowo sklasyfikowały 62,5% niebankrutów i 87,5% bankrutów. Ponadto dokonano analizy porównawczej błędnie zaklasyfikowanych podmiotów przez modele. Ustalono, że modele błędnie klasyfikowały te same przedsiębiorstwa. Może to świadczyć o nietypowych przypadkach, które przy niewielkiej bazie danych mają wysoki udział procentowy w błędach klasyfikacji.
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