Metody Klasyfikacji W Analizie Porównawczej Rozwoju Społeczno-Gospodarczego Polskich Województw W Latach 2010 I 2014 – Wpływ Procedury Normalizacji Na Wynik Rankingu

Malchar, Jan; Zielińska-Sitkiewicz, Monika

doi:10.22630/mibe.2017.18.4.59

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Spowodowane jest to zwiększeniem konsumpcji oraz lepszą spłacalnością zobowiązań. Warto jednak pamiętać, że rozwój społeczno-gospodarczy ma charakter złożony i na jego poziom wpływają różnorodne czynniki ekonomiczne, społeczne i geograficzno-przyrodnicze [Malchar, Zielińska-Sitkiewicz 2017].…”

Section: Wprowadzenieunclassified

Mikroekonometryczne Modelowanie Zawierania Umów Kredytowych Na Cele Konsumpcyjne

Malchar

Dudek

2019

QME

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The purpose of the article is to identify factors affecting the willingness to take loans and credits for consumption by households and to verify the validity of using the probit model with random effects. Based on the analysis of data from the "Social Diagnosis" survey, it is found which determinants influence the analyzed phenomenon. The conclusions from the analysis clearly indicate the appropriateness of using the panel data structure in modeling, which allows to specify the unobservable effects of individual analyzed households.

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Section: Wprowadzenieunclassified

Mikroekonometryczne Modelowanie Zawierania Umów Kredytowych Na Cele Konsumpcyjne

Malchar

Dudek

2019

QME

Self Cite

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Normalizacja zmiennych a porządkowanie krajów Unii Europejskiej pod względem stopnia wykorzystania technologii ICT w przedsiębiorstwach

Wieczorek¹,

Frejtag-Mika²

2021

Nier społ a wzrost gosp

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The main issue of multivariate comparative analysis is the normalization of variables. The literature offers various procedures for data normalization, and therefore the researcher has to choose between them. The article presents and discusses the most commonly used normalizing formulas. The article assesses the impact of data normalization procedures on the results of the linear ordering of European Union countries in terms of the level of ICT usage in enterprises. A hypothesis was formulated that the method of data normalization influenced the position of the objects in the ranking. The study is based on statistical data from Eurostat for the year 2018. Based on the selected diagnostic variables, values for a synthetic measure have been determined for individual countries. The synthetic measure was calculated according to the model-less method of linear ordering using four types of normalization. The method used in the research allowed the creation of rankings for the countries. The compliance of the orders thus obtained was compared using the Spearman’s coefficient of range correlation and the measure of similarity of rankings. As the study shows, the choice of normalization formula influences the result of linear ordering, which is not due to any change in the data structure. It was proven that the quotient transformation with the normalization base equal to the maximum value allowed the most similar ranking to be obtained of the examined objects in relation to the Rother rankings. The results of the study show that Denmark, Sweden and Finland had the highest positions in each ranking while Bulgaria, Romania and Latvia had the lowest positions.

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Attractiveness of cemeteries versus socioeconomic and spatial development of non-metropolitan cities in Poland

Długozima

Nejman

2022

ASPAL

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Motives: Societies have developed a variety of services to meet their basic needs. One of them is to deposit and commemorate the bodies of the dead, for which cemeteries are used. Cemeteries and cities are thus interlinked.Aim: The first aim of the study was to verify whether cemeteries located in secondary cities with a high synthetic measure of socioeconomic development and with sustainable spatial policy on cemetery greenery are more attractive. Second aim was to verify whether attractiveness of cemeteries is related to their age. The study was conducted on a sample of 96 cemeteries located within the administrative boundaries of 10 cities of population between 50 000 and 300 000 inhabitants within city limits, that were representing various NUTS1 regions. Criteria of the cemetery evaluation based on the features of the cemetery were elaborated in terms of location, accessibility and development of the necropolis. Moreover, analysis of the current socioeconomic situation of cities was carried out.Results: Finally, the mutual correlation of indicators was examined using the Spearman correlation coefficient. The relationship between the cemeteries features, the socioeconomic development, share of municipal cemeteries as well elements considered in study of spatial policy on cemetery greenery in non-metropolitan cities has been noticed. As the result of performed analysis the guidelines on how to increase the attractiveness of cemeteries in non-metropolitan cities were developed.

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Metody Klasyfikacji W Analizie Porównawczej Rozwoju Społeczno-Gospodarczego Polskich Województw W Latach 2010 I 2014 – Wpływ Procedury Normalizacji Na Wynik Rankingu

Abstract:

Cited by 3 publications

References 2 publications

Mikroekonometryczne Modelowanie Zawierania Umów Kredytowych Na Cele Konsumpcyjne

Mikroekonometryczne Modelowanie Zawierania Umów Kredytowych Na Cele Konsumpcyjne

Normalizacja zmiennych a porządkowanie krajów Unii Europejskiej pod względem stopnia wykorzystania technologii ICT w przedsiębiorstwach

Attractiveness of cemeteries versus socioeconomic and spatial development of non-metropolitan cities in Poland

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