Regional Development in Poland in Taxonomic Terms

Klóska, Rafał; Ociepa-Kicińska, Elżbieta; Czyżycki, Rafał; Szklarz, Piotr

doi:10.3390/su12114780

Cited by 11 publications

(7 citation statements)

References 17 publications

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“…where: Z ij -diagnostic variable, falling within the range from 0 to 1; x ij -the feature value for a given region; min x ij -the lowest value of the feature among the examined regions; max x ij -the highest value of the feature among the examined regions. Based on the analysis of the selected diagnostic variables, equal weights were attached to them, which is a commonly applied practice, consistent with, inter alia, Grabi ński [75], Sokołowski [76], Klóska et al [77] In the next step, a relative coefficient of regional innovation development was computed, by means of the following formula:…”

Section: Methodological Aspects Of Measuring the Innovative Developme...mentioning

confidence: 99%

Smart Specialisation as a Strategy for Implementing the Regional Innovation Development Policy—Poland Case Study

Kogut-Jaworska

Ociepa-Kicińska

2020

Sustainability

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Regional Innovation and Smart Specialisation Strategies (RIS3) are treated as one of the key tools in implementing the concept of smart and sustainable growth. The strategies make it possible to focus investments on research, development and innovation (RD & I) in the areas showing the greatest economic and competitive potential of the regions. The article is based on the assumption that innovativeness on the one hand determines and on the other hand is determined by smart and sustainable growth. The aim of the analysis is to present new research assumptions and the results of the regional benchmarking based on a synthetic measure of development, and verification of the relationships between the level of innovative development and the economic development in the regions. This article presents the results of a research study covering all the sixteen regions of Poland, the outcome of which is an indicator of regional innovativeness based on 17 features, which means that the study considered a total of 2992 features. The methods applied in the study included the zero unitarisation method, the linear ordering method, and the Pearson correlation coefficient. The completed research study has shown the stability of positions held by the individual regions and the considerable, persisting disproportions in the innovation development between the regions taking the positions at both ends of the ranking. Moreover, a moderate positive correlation was identified between the GDP per capita level and the value of the synthetic measure of regional innovation development in 2009. The completed analyses made it possible to formulate the conclusions that show the benefits, weaknesses and dilemmas related to the introduction of smart specialisations for sustainable and innovative regional development in Poland over the past decade.

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Section: Methodological Aspects Of Measuring the Innovative Developme...mentioning

confidence: 99%

Smart Specialisation as a Strategy for Implementing the Regional Innovation Development Policy—Poland Case Study

Kogut-Jaworska

Ociepa-Kicińska

2020

Sustainability

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“…The Wroclaw Taxonomic Method (WTM) was applied by Senetra and Szarek-Iwaniuk [14] to identify and analyze problem areas in the regions of Warmia and Mazury in Poland, revealing the variations in socioeconomic and demographic parameters. The taxonomic analyses were utilized by Klóska et al [15] to rank the provinces of Poland in terms of regional development. They indicated a clear stabilization of highranked positions and potential increasing disparities between the most and least developed regions.…”

Section: Estimation and Testing Sustainability Indexmentioning

confidence: 99%

Dam Sustainability’s Interdependency with Climate Change and Dam Failure Drivers

Abu-Afifeh,

Rahbeh,

Al-Afeshat

et al. 2023

Sustainability

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The complex interplay between the drivers of dam failure and climate change factors constitutes a central focus of this study. Variations in temperature and precipitation patterns have profound effects on dam storage volume, quality, and structural stability. This research serves two purposes. First, it employs the Wroclaw Taxonomic Method (WTM) to construct a comprehensive indicator called the Index of Sustainable Dams (ISD). The King Talal Dam (KTD) was chosen as a case study using data spanning from 2011 to 2022, encompassing 14 variables. Second, the Granger Causality Test (GCT) is applied to examine the causal connections between the ISD, climate change, and dam failure. The research provides an in-depth evaluation of the KTD in terms of the ISD and its three critical dimensions: environmental, economic, and social. It also reveals substantial bidirectional causality relationships between the ISD, climate change (as measured by mean maximum and minimum temperature and mean annual precipitation), and dam failure (as measured by dam age, sediment yield, and storage). The analysis confirms a strong interdependence among the drivers of climate change, dam failure, and dam sustainability. Moreover, combining the WTM and the GCT is efficient for assessing the sustainability of various dam types.

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“…•Podkarpackie: 0.346 (2014) (the ranking leader -Dolnośląskie: 0.384) •property: regional development level (Klóska et al 2020).…”

Section: The Characteristics Of the Region In Scientifi C Researchmentioning

confidence: 99%

The Ontology of the Region

Andreasik¹

2022

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In the paper, the conceptual apparatus (the ontology OntoReg) is presented for designing the Knowledge Based System (KBS ). An original methodology of designing an applied ontology has been developed on the basis of the concept of Roman Ingarden’s individual object as well as the concept of Rudolf Carnap’s constructional systems (Aufbau). According to the procedure of creating an applied ontology, the original ontology of the region (OntoReg) has been developed, with particular emphasis on the characteristics of the region with the distinction of properties at three levels of the constructional system. At the first level, absolutely own properties, acquired properties and externally conditioned properties are distinguished. At the second level, positive states of objects (potentials of the region: geographical potential, social potential, innovative potential, institutional potential) and negative states of objects (risk of implementing the regional development strategy: project implementation risk, environmental risk, institutional risk, public health and safety risk) are defined. At the third level, the indicators of the respective types of potential and risk are considered. The relative characteristics of the comparative assessment between the indicator values for a given potential/risk and a reference value established in scientific research are determined. Determining the relative properties constitutes new knowledge generated due to the ontology constructed.

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Regional Development in Poland in Taxonomic Terms

Cited by 11 publications

References 17 publications

Smart Specialisation as a Strategy for Implementing the Regional Innovation Development Policy—Poland Case Study

Smart Specialisation as a Strategy for Implementing the Regional Innovation Development Policy—Poland Case Study

Dam Sustainability’s Interdependency with Climate Change and Dam Failure Drivers

The Ontology of the Region

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