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1
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Weryfikacja zastosowania metody porządkowania liniowego Hellwiga w kontekście doboru spółek do portfela. Analiza w latach 2001-2010

100%
Węgrzyn T.
Nauki o Finansach
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2014
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issue 1(18)
87-97
EN
The purpose of the article is to check if companies should be assessed on the base of dynamics of the financial ratios or both dynamics of financial ratios and nominal values of financial ratios. In order to point out the better portfolio their performances are compared. Companies are chosen to quantile portfolios due to their position in the ranking that is constructed on the base of the chosen financial ratios (nominal values and/or their dynamics). As a result, it can be stated that the best portfolios are two portfolios pointed out by the ranking constructed on the base of nominal value of financial ratios and their dynamics.
2
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THE DEVELOPMENT OF AGRICULTURE IN POLAND IN THE YEARS 2004-2011 – THE TAXONOMIC AND ECONOMETRIC ANALYSES

100%
Muszyńska J., Müller–Frączek I.
Metody Ilościowe w Badaniach Ekonomicznych
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2013
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vol. 14
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issue 2
118-128
EN
The aim of the paper was to assess the regional differentiation of the level of agriculture and its changes over time. Based on the synthetic measure of development the rankings of regions (provinces) were created. The objects were also classified and divided into groups of a similar level of agriculture. In addition, in order to identify the long-term tendency in this sector of economy, the process of -convergence of the level of agriculture has been studied. For the verification of hypotheses dynamic panel models were applied. All computations were performed in the Gretl, based on CSO data.
3
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The Delimitation of Bipolar Metropolitan Area Within the Kujawsko-Pomorskie Region

100%
Biczkowski M., Müller-Frączek I., Muszyńska J., Pietrzak M. B., Wilk J.
Oeconomia Copernicana
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2014
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vol. 5
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issue 2
101-122
EN
The objective of the article was to re-define the bipolar metropolitan area within the area of the Kujawsko-Pomorskie region (NUTS 2). Concentration of metropolitan features, as well as socio-economic situations of its communes (NUTS 5) in 2011, and also the dynamics of communes’ development in the period 2009-2011 were considered in the procedure of delimitation. Bydgoszcz and Toruń, as the economically strongest cities in the region, were established as the dual core of the bipolar metropolitan area. It was assumed that the determined metropolitan area would cover the best developed and the fastest developing communes which met the following criteria of a metropolitan area: neighbourhood, continuity, compactness, maximum distance and population. The development levels of the communes were determined with the use of syn-thetic measure. Its values were calculated considering the economic (e.g. the amount of income) and also social (e.g. unemployment) aspects of regional devel-opment, as well as features typical of metropolitan areas, such as: well-developed sectors of R&D, knowledge-based economy and serving superior services. In the research, linear arrangement methods classifying as taxonomic tools of multivari-ate data analysis was applied. The metropolitan area resulting from the research (BipOM) slightly differs from the Bydgoszcz-Toruń Metropolitan Area (B-TOM) which was formally ap-pointed in 2005 and composed all of the communes located within the area of the Bydgoski and Toruński districts (NUTS 4). Chełmża and Koronowo, as the less developed communes of the districts, were excluded from the new metropolitan area, while the communes of Ciechocinek, Nakło and Unisław, belonging to the neighbouring districts of the region, were included in the BipOM due to their significant level of regional development and its dynamics. Furthermore the Inowrocław district (bordered on the BipOM) was identified as the prospective candidate for the BipOM, due to the fact that its communes demonstrate a high potential for regional development.
4
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ZASTOSOWANIE PORZĄDKOWANIA HIERARCHICZNEGO DO OCENY REGIONALNEGO ZRÓŻNICOWANIA POZIOMU ŻYCIA NA WSI

75%
Müller-Frączek I., Muszyńska J.
Metody Ilościowe w Badaniach Ekonomicznych
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2015
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vol. 16
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issue 4
54-63
PL
Celem artykułu jest analiza regionalnego zróżnicowania poziomu życia na wsi, na dwóch szczeblach podziału administracyjnego. Wykorzystano koncepcję miary syntetycznej dla obiektów hierarchicznych, zaproponowaną przez A. Młodaka. Podejście to pozwoliło na równoległą ocenę zjawiska dla obiektów hierarchicznych (województw) oraz subobiektów (powiatów), przy jednoczesnej porównywalności wyników na obu poziomach. W badaniu wykazano duże zróżnicowanie warunków życia na wsi zarówno między województwami, jak i wewnątrz nich. Następnie obiekty uporządkowano oraz wyodrębniono grupy obiektów podobnych.
EN
The aim of the paper was to analyse regional differentiation of level of life in rural areas at two levels of administrative division (voivodeships and poviats). The study used the concept of synthetic measure for hierarchical objects, developed by A. Młodak. This approach enabled the simultaneous evaluation of the phenomenon both at the level of hierarchical objects (voivodeships) and subobjects (poviats), while ensuring comparability of results for both levels of administrative division. The analysis showed substantial differences in level of life in rural areas, both between provinces and within them.
5
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Zastosowanie statystyk przestrzennych w analizie dostępności do infrastruktury ICT w Polsce

75%
Miśkiewicz-Nawrocka M., Zeug-Żebro2 K.
Nierówności społeczne a wzrost gospodarczy
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2015
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vol. 44 cz. 2
43-55
PL
Sektor technologii informacyjno-komunikacyjnych ICT stanowi bardzo ważny element w działalności gospodarczej. Jego rozwój pozwala zwiększyć wzrost gospodarczy, innowacyjność i konkurencyjność gospodarki, a także zatrudnienie. Infrastruktura ICT jest nierozerwalnie związana z dostępem do Internetu oraz możliwościami jego upowszechniania, tj. techniczną dostępnością łączy internetowych oraz kosztem dostępu do nich, kosztem sprzętu do obsługi Internetu. W opracowaniu została przeprowadzona analiza dostępności do technologii ICT w Polsce, z uwzględnieniem podziału na województwa, za pomocą statystyk przestrzennych. W badaniach wykorzystano dane pochodzące z banku danych lokalnych GUS.
EN
The ICT sector is a very important element in economic activity. Its development can boost economic growth, innovation and competitiveness of the economy and increase employment. The ICT infrastructure is inextricably linked to the Internet and the possibilities of its dissemination, ie. the technical availability and the cost of access to the Internet as well as the cost of Internet equipment. The paper presents an analysis of the accessibility of ICT in Poland using spatial statistics. The data used in the study come from the Local Data Bank of the Central Statistical Office. All calcula-tions and maps were made in the R CRAN.
6

Statistical Analysis of Financial and Economic Condition in Companies Listed on the Warsaw Stock Exchange

75%
Łuniewska M.
Folia Oeconomica Stetinensia
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2008
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vol. 7
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issue 1
98-108
EN
The analysis of securities is an essential element of investment. It is a complex and, very frequently, long-lasting process. Depending on the assumed time perspective of an investment, the analysis may be carried out on the basis of appropriate tools within technical or fundamental analysis. Assuming that the investment is long-term, the methods of fundamental analysis, particularly the indicator analysis are be useful. Additionally, in securities analyses taxonomic methods are more frequently used, which allows for the evaluation of the securities quality through the synthetic analysis of statistical economic and financial indicators. Methods of linear arrangement used to assess the companies' fundamental strength are based on the economic and financial indicators. These indicators define in a numerical manner the relations between economic and financial values, which allows for conclusions on the condition of the examined economic entities, sectors or markets. Furthermore, indicators are a source of data in quantitative analyses, they are diagnostic variables in research studies. Thus this situation poses a few crucial questions:- how do the economic and financial indicators rule on the stock market?- what is their level, do they maintain the norms?- what is the quality of data on the basis of which securities analyses are carried out?The main goal of the article is to analyze the fundamental power of companies listed on Warsaw Stock Exchange (WSE) by using TMAI value (in space and time). The study was performed in the period of 2005-2008 (the first quarter of 2008). Thus, the base was constituted by 126 companies. Banks and other financial institutions were excluded. Within the macrosectors existing on the Polish capital market, a statistical analysis of the level of economic and financial indicators characterizing particular companies was performed.
7
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Determinants of the competitiveness of the regions of Eastern Poland

63%
Jabłońska-Karczmarczyk K.
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
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2019
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issue vol. 63, nr 12
49-60
EN
The aim of the study is to draw attention to the current processes of adapting regions to the competitive situation. This is related to the globalization process and the disappearance of geographical and economic barriers. As a result, regions must actively monitor the market and respond to changes. The study presents the concept of region’s competitiveness, and an analysis of competitive ability factors. The rest of the article is an analysis of the conditions of competitiveness of Eastern Poland voivodeships using the multidimensional comparative analysis method.
PL
Celem opracowania jest zwrócenie uwagi na aktualne procesy dostosowawcze regionów do sytuacji konkurencyjnej. Wiąże się to z procesem globalizacji i zanikaniem barier geograficznych oraz ekonomicznych. Skutkiem tego regiony muszą aktywnie obserwować rynek i reagować na zachodzące zmiany. W opracowaniu zaprezentowano pojęcie konkurencyjności regionu, przedstawiono również analizę czynników zdolności konkurencyjnej. Dalsza część publikacji stanowi analizę uwarunkowań konkurencyjności województw wschodniej Polski z wykorzystaniem metody wielowymiarowej analizy porównawczej.
8

Taksonomiczna miara zrównoważonego rozwoju obszarów metropolitalnych w Polsce

63%
Koszel M., Bartkowiak P.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
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2018
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issue 3(975)
83-100
PL
W artykule podjęto problematykę poziomu zrównoważonego rozwoju jednostek samorządu terytorialnego tworzących obszary metropolitalne (OM) w Polsce. Do oceny i sporządzenia rankingów zrównoważonego rozwoju wybrano metodę wzorca Hellwiga. W badaniach wykorzystano dane pochodzące z Banku Danych Lokalnych (GUS). Dokonano oceny 345 gmin i miast tworzących osiem polskich obszarów metropolitalnych w aspektach ekonomicznym, społecznym, ekologicznym i przestrzennym oraz w ujęciu całościowym. Wykorzystano dane z 2015 r. Na podstawie przeprowadzonych badań stwierdzono, że poziom zrównoważonego rozwoju badanych jednostek jest zależny od lokalizacji, liczby ludności, rodzaju oraz przynależności do konkretnego obszaru. Wyższy poziom zrównoważonego rozwoju w aspektach ekonomicznym, społecznym i przestrzennym wykazują jednostki miejskie, zlokalizowane w centralnej strefie, o liczbie ludności powyżej 50 tys. mieszkańców (OM Warszawy). W przypadku aspektu ekologicznego wyższy poziom wykazują jednostki wiejskie, peryferyjne i o niższej liczbie ludności (OM Szczecina i OM Łodzi).
EN
The article examines the problem of measuring the sustainable development of local self-government units that constitute metropolitan areas (MA) in Poland. In order to evaluate and compile sustainable development rankings, a taxonomic method, Hellwig̛s standard method, was chosen. Drawing on Central Statistical Office (GUS) data from 2015, an assessment was made of 345 municipalities and cities forming eight Polish metropolitan areas in five dimensions: economic, social, ecological, spatial and overall (mega aggregate). The level of sustainability of local government units shows a clear dependence on their location, population, type and area. A higher level of sustainable development in the economic, social and spatial aspects is demonstrated by urban units located in the central zone and with a population of over 50,000 inhabitants (Warsaw MA). With respect to environmental sustainability rural, peripheral and smaller populations (Szczecin MA and Lodz MA) show better assessment scores.
9

The Socio-economic Dimension of Industry in Subregions

63%
Bal-Domańska B.
Argumenta Oeconomica Cracoviensia
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2018
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issue 19
133-152
EN
Industry is one of the key sectors of the economy, which affects a number of other areas as well as society and the environment. In its socio-economic dimension it has impact on the job market, wages, innovation, and the competitiveness of enterprises and territorial units. The purpose of this article is to classify and assess the situation of 72 Polish subregions (NUTS-3) in terms of industrialisation as one of the components affecting the level and structure of subregional development. The classification was performed on the basis of employment structure and regional productivity data with reference to gross added value. Due to data availability the analysis was carried out based on the information about the activity of enterprises in PKD (Polish Statistical Classification of Economic Activities) sections B to F (including construction) in the years 2010–2014 and for selected aspects in 2015. The study applied classification methods (Ward method) and linear ordering (SDM with a common development model). The analysis allowed the author to identify classes of subregions presenting a particular industrial development profile (general, social or economic) and characterised by one development type in accordance with L. Klaassen’s classification. The conclusions resulting from the presented analysis indicate visible differences in the role played by industry in subregions as a regional employer (social aspect) or economic leader (economic aspect). The results of the change dynamics analysis pointed to a strengthening of the role of industry in subregions in terms of the economic aspect and a simultaneous decline in the importance of the social aspect (in this study related to jobs).
PL
Przemysł stanowi jeden z podstawowych sektorów gospodarki, który oddziałuje na szereg innych jej obszarów, a także na społeczeństwo i środowisko. W obszarze społeczno-gospodarczym kształtuje rynek pracy, poziom wynagrodzeń, innowacyjność i konkurencyjność przedsiębiorstw oraz jednostek terytorialnych. Celem artykułu jest klasyfikacja i ocena sytuacji 72 podregionów Polski (NUTS-3) pod względem poziomu uprzemysłowienia jako jednego z elementów oddziałujących na poziom i strukturę rozwoju podregionów. Klasyfikacji dokonano na podstawie danych na temat struktury pracujących i produktywności regionalnej opartej na wartości dodanej brutto. Z uwagi na dostępność danych analizę przeprowadzono na podstawie informacji o aktywności przedsiębiorstw w sekcjach PKD od B do F (łącznie z budownictwem) w latach 2010–2014 oraz dla wybranych aspektów w 2015 r. W badaniu wykorzystano metody klasyfikacji (metodę Warda) oraz porządkowania liniowego (SMR ze wspólnym wzorcem rozwoju). Analiza pozwoliła na wskazanie klas podregionów o określonym profilu rozwoju przemysłu (ogólnym, społecznym bądź gospodarczym) oraz o jednym z typów rozwoju zgodnych z klasyfikacją L. Klaassena (1965). Wnioski z przedstawionych badań wskazują znaczenie przedsiębiorstw przemysłowych, będącvych regionalnymi pracodawcami (aspekt społeczny) bądź liderami gospodarczymi (aspekt gospodarczy). Z analizy dynamiki zmian wynika, że wzmocnieniu uległa rola przemysłu w podregionach w aspekcie gospodarczym, przy jednoczesnym zmniejszeniu znaczenia w aspekcie społecznym (w niniejszym opracowaniu powiązanym z miejscami pracy).
10

The TMAI Model – Performance Of Portfolios Constructed On The Base Of Correlated And Uncorrelated Financial Ratios

63%
Węgrzyn T.
Folia Oeconomica Stetinensia
|
2014
|
vol. 14
|
issue 2
125-139
EN
The author studies portfolio performance. Companies are chosen to portfolios due to their position in the ranking that is constructed on the base of the chosen financial ratios. There are three rankings constructed on different number of financial ratios. Each ranking is constructed on the base of synthetic measure of development. The TMAI ranking is constructed on the base of 48 financial ratios, the TMAI_gr1 ranking is constructed on the base of 14 financial ratios that can be correlated and the TMAI_gr2 ranking is constructed on the base of 8 uncorrelated financial ratios. The author uses data of companies listed on the Warsaw Stock Exchange between 2005 and 2011. The rankings and portfolios are built separately for each year. As a result, it can be stated that the Portfolio 3 in the TMAI_gr1 ranking is the best portfolio for investors who are maximizing the Sharpe ratio.
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