A Comparative Analysis of Economic Efficiency of Medium-Sized Manufacturing Enterprises in Districts of Wielkopolska Province Using the Hybrid Approach With Metric and Interval-Valued Data

Dehnel, Grażyna; Walesiak, Marek

doi:10.21307/stattrans-2019-014

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…In our research, a dynamic approach to the use of multidimensional scaling was first used in the analysis of population ageing in Polish provinces [99] and in the V4 countries [100]. It was also used in static analyses, for example, in research on the financial condition of medium-sized enterprises in Wielkopolska province in Poland [101] or in the analysis of the real estate market [102].…”

Section: Discussionmentioning

confidence: 99%

The Well-Being-Related Living Conditions of Elderly People in the European Union—Selected Aspects

Bieszk-Stolorz,

Dmytrów

2023

Sustainability

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One of the main demographic problems is the ageing of populations, especially in European countries. However, this process is not taking place equally in all countries and has a different impact on their socio-economic development. The aim of this research is to assess and compare the well-being-related living conditions of elderly people in European Union countries. We carried out the analysis for the years 2015 and 2020 on the basis of Eurostat data. We assessed the well-being-related living conditions of older people by applying the multidimensional scaling technique. On its basis, we constructed rankings of the EU countries in the two analysed years. In addition, by using the k-means method, we clustered the countries. The disparity between the well-being-related living conditions of elderly people in Western European countries and the post-communist ones has not declined. Six of the nine analysed indicators improved over the five years between 2015 and 2020, while three (the proportion of elderly people at risk of poverty, the disparity between the incomes of the richest and poorest groups of elderly people, and the proportion of elderly people in the total population) worsened. Socio-economic policies should therefore address these indicators to the greatest extent possible.

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Section: Discussionmentioning

confidence: 99%

The Well-Being-Related Living Conditions of Elderly People in the European Union—Selected Aspects

Bieszk-Stolorz,

Dmytrów

2023

Sustainability

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“…This variant of the Hellwig method was applied to evaluate the economic efficiency of small- and medium-sized manufacturing enterprises in districts of Wielkopolska province [ 32 , 33 ], assess changes in population ageing in regions of the V4 countries [ 34 ], and measure social cohesion at the province level in Poland [ 35 ].…”

Section: The Hellwig Methods Based On Two Reference Pointsmentioning

confidence: 99%

On Some Extension of Intuitionistic Fuzzy Synthetic Measures for Two Reference Points and Entropy Weights

Roszkowska

Jefmański

Kusterka-Jefmańska

2022

Entropy

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In this paper, a novel Double Intuitionistic Fuzzy Synthetic Measure (DIFSM), based on intuitionistic fuzzy values for handling multi-criteria decision-making problems used to rank alternatives, is presented. In the studies, intuitionistic fuzzy sets (IFSs) represented uncertain, imprecise information or human judgment. The intuitionistic fuzzy sets can also reflect the approval, rejection, and hesitation of decision-makers. The degrees of satisfiability and non-satisfiability and uncertainty of each alternative with respect to a set of criteria are described by membership functions, non-membership functions, and hesitancy indexes, respectively. The aggregation algorithm DIFSM is inspired by Hellwig’s method based on two reference points: ideal point (pattern) and anti-ideal point (anti-pattern), measuring distances between the alternative and ideal point and distance between the ideal and anti-ideal point. The proposed methods take into consideration the entropy-based weights of criteria. An illustrative example is given to demonstrate the practicality and effectiveness of the proposed approach. Additionally, the comparative analysis results, using the DIFSM and the Intuitionistic Fuzzy TOPSIS-based framework, are presented.

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“…Aggregate measures based on interval-valued data are also becoming increasingly popular. The following measures have been proposed: an aggregated measure of the development of interval data [43]; interval-valued TOPSIS [44]; an approach combining multidimensional scaling with rankings of sets of objects based on interval-valued data [45]; interval-based composite indicators [46,47]; and composite indices based on the performance interval approach [38]. Composite indicators based on interval-valued data were used to study well-being in Italian regions [38], poverty in Italian regions [46], territorial variation in poverty across Polish provinces [43], energy efficiency and green entrepreneurship [47], health systems of selected countries of the world [44], and economic efficiency of medium-sized manufacturing enterprises in districts of Wielkopolska province [45].…”

Section: Introductionmentioning

confidence: 99%

A Measurement of Social Cohesion in Poland’s NUTS2 Regions in the Period 2010–2019 by Applying Dynamic Relative Taxonomy to Interval-Valued Data

Walesiak

Dehnel

2023

Sustainability

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Composite indicators play an important role in the analysis of socio-economic phenomena. A number of different approaches to constructing composite indicators have been proposed in the literature. Depending on the degree of compensation, they can be divided into compensatory, partially compensatory, and non-compensatory. The following article focuses on the method of relative taxonomy and its dynamic modification. While this method is typically applied to metric data, the authors propose using the dynamic approach for interval-valued data, which describes objects of interest more precisely. Metric data are of an atomic nature; i.e., an observation of each variable is expressed as one real number. In contrast, each observation of an interval-valued variable is expressed as an interval. By making use of interval-valued data, it is possible to assess objects not only at the regional level but also at a lower level of territorial aggregation, taking into account spatial variation across districts that make up each region. The study described in the article was conducted by applying relative taxonomy in its dynamic approach to interval-valued data in order to measure the level of social cohesion in Poland’s NUTS2 regions during the period 2010–2019. The target dataset was obtained by aggregating numeric data about social cohesion in districts (LAU1) at the level of regions. The lower and upper limit of the interval for each region was based on district-level data and corresponded to the 2nd and 8th decile, respectively (60% of observations), which helped to mitigate the effect of outliers. By applying dynamic relative taxonomy to interval-valued data, it was possible to graphically represent changes in the level of social cohesion that took place across 17 Poland’s NUTS2 regions between 2010 and 2019. It was found that during the reference period, the level of social cohesion in the regions systematically improved. Despite the observed variation, the distance between the regions consistently decreased over time. The level of social cohesion was found to be higher in regions that had received more EU funding to support regional development.

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A Comparative Analysis of Economic Efficiency of Medium-Sized Manufacturing Enterprises in Districts of Wielkopolska Province Using the Hybrid Approach With Metric and Interval-Valued Data

Cited by 9 publications

References 14 publications

The Well-Being-Related Living Conditions of Elderly People in the European Union—Selected Aspects

The Well-Being-Related Living Conditions of Elderly People in the European Union—Selected Aspects

On Some Extension of Intuitionistic Fuzzy Synthetic Measures for Two Reference Points and Entropy Weights

A Measurement of Social Cohesion in Poland’s NUTS2 Regions in the Period 2010–2019 by Applying Dynamic Relative Taxonomy to Interval-Valued Data

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