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Spatial and economic distance influence on the European stock market connections changing in crisis 2007-2009

100%
Suchecka J., Łaszkiewicz E., Uniwersytet Łódzki; Wydział Ekonomiczno-Socjologiczny; Instytut Gospodarki Przestrzennej
Acta Universitatis Lodziensis. Folia Oeconomica
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2011
|
vol. 252
EN
The influence of the spatial relation on the stock market is becoming more frequently the subject of a discussion. Efforts to pinpoint the relation between the dis- tance and the investors choices are relevant to both the intra- and intermarket connec- tions. With the latter one, spatial dependencies may function as a shock transmission channel, resulting with the contagion effect. The object of this paper is to present the results of the research on the influence of spatial and economic distance on the correlation of selected European stock markets during the 2007–2009 crisis period. In order to verify the hypothesis regarding the influ- ence of the spatial relations on the stock market correlation DCC GARCH model was used among with spatial analysis tools.
2
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Resilience and Hybridization of Development of Small and Medium Towns in Poland

88%
Drobniak A.
Olsztyn Economic Journal
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2019
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vol. 14
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issue 1
47-62
EN
This paper aims to initially evaluate the socio and economic resilience of small and medium sized town in Poland made in the context of hybridization of development. The article refers to the issues of development of small and medium sized towns as well as to the urban resilience concept recognized in the attributes approach. Empirically, an initial assessment of resilience was carried out for all towns up to 100,000 residents in Poland using quantitative methods based on indicators of dynamics. Then, using cluster analysis along with the Euclidean distance the paper presents its findings in spatial dimension. The results indicate a very high level of differentiation in socio and economic urban resilience of the surveyed towns. The dynamics of their development is highly unbalanced, while the overall picture of resilience of the examined towns indicates a hybrid pattern of their development.
3
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Evaluating organizational antifragility via fuzzy logic. The case of an Iranian company producing banknotes and security paper.

75%
GHASEMI A., ALIZADEH M.
Operations Research and Decisions
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2017
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vol. 27
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issue 2
21-43
EN
The concept of antifragility has received much attention from researchers in recent years. Contrary to fragile systems which fail when exposed to stressors, antifragile systems prosper and improve in response to unpredictability, volatility, randomness, chaos and disturbance. The implications of antifragility goes beyond resilience or robustness. A resilient system resists stress and remains the same; while an antifragile system improves. Taleb argues that antifragility is required for dealing with events that he called black swans or X-events, which are scarce, unpredictable, and extreme events. Such events come as a surprise and have major consequences. The concept of antifragility was developed by Taleb in a socioeconomic context, not in industrial production. However, the authors think that this concept may have its greatest practical utilization when applied to industrial environments. Thus, they focused on this concept in the article aiming to investigate the level of antifragility in an organization. In order to perform this, the authors used a case study based on an Iranian manufacturer of banknotes and security paper (TAKAB). Firstly, a questionnaire was designed based on 7 criteria related to antifragility using the five-point Likert scale and a triangular fuzzy number for each linguistic term is defined. In the next phase, the weight of each component was obtained using the entropy technique. In the final stage, the Euclidean distance between the aggregated fuzzy antifragility index (FAI) and each linguistic term used during this case study was calculated. Finally, based on these results, the level of the organization’s antifragility was assessed as satisfactorily antifragile, based on the minimum Euclidean distance.
4
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Wykorzystanie analizy skupień w ocenie zróżnicowania zagrożenia ubóstwem w podregionach Polski

51%
Kraszewska B.
Wiadomości Statystyczne. The Polish Statistician
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2016
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issue 5
17-36
PL
Artykuł poświęcony jest zagadnieniu wykorzystania metod analizy skupień do oceny zróżnicowania zagrożenia ubóstwem w podregionach. Na podstawie danych dotyczących rynku pracy, wynagrodzeń i opieki społecznej, opracowanych na podstawie zasobów Banku Danych Lokalnych GUS (BDL) i ich weryfikacji zmiennościowo-korelacyjnej, określono zestaw cech diagnostycznych, które posłużyły do wyznaczenia skupień podregionów podobnych pod względem zagrożenia ubóstwem. Otrzymane rezultaty porównano z wynikami prac studialnych w zakresie przestrzennej dywersyfikacji oszacowań wskaźnika zagrożenia ubóstwem ARPR (at-risk-of-poverty rate) w 2011 r., przeprowadzonych przez Ośrodek Statystyki Małych Obszarów Urzędu Statystycznego w Poznaniu we współpracy z ekspertami Banku Światowego.
EN
The article discusses the use of cluster analysis methods to assess the differentiation of risk of poverty in the Polish subregion. On the basis of data on the labor market, wages and social care, developed on the basis of the resources of the Local Data Bank of the CSO and their variable-correlation verification, the author has defined a set of diagnostic features used to determine the cluster of sub-regions similar in terms of risk of poverty. Results were compared with the results of study work in the field of spatial diversification of estimating at-risk-of-poverty rate (ARPR) in 2011 conducted by the Small Areas Statistics Centre of the Statistical Office in Poznań in cooperation with experts from the World Bank.
RU
Статья была посвящена вопросу использования методов кластерного анализа для оценки дифференциации опасности выступления бедности в субрегионах. На основе данных по рынке труда, вознаграждений и социального обеспечения, разработанных на основе фондов Банка локальных данных ЦСУ и непостоянно-корреляционной проверки, был определен набор диагностических признаков, котoрый использовался в определении кластеров субрегионов аналогичных в отношении к опасности выступления бедности. Полученные результаты были сопоставлены с результатами научных работ в области пространственной диверсификации оценок показателя опасности выступления бедности ARPR (at-risk-of-poverty rate) в 2011 г. проведенных Центром статистики малых домэн Статистического управления в Познани в сотрудничестве с экспертами Всемирного банка.
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