Spatial diversity of poverty symptoms in Poland

2016 ◽  
Vol 61 (8) ◽  
pp. 18-31
Author(s):  
Mirosława Kaczmarek
Keyword(s):  
Correlation Coefficient ◽  
Data Bank ◽  
Spatial Diversity ◽  
Local Data ◽  
Diagnostic Features ◽  
Coefficients Of Variation ◽  
Pearson's R ◽  
Selection Of ◽  
Pearson’S R

The article presents the results of the clustering voivodships based on variables characterizing the phenomenon of poverty. The analysis is based on data available in the CSO’s Local Data Bank. The selection of diagnostic features was made on the basis of the coefficients of variation and Pearson’s r correlation coefficient. The grouping of voivodships was made using the k-means method. There were created four categories of voivodships differing in the symptoms of poverty. In order to answer the question whether the changes in the symptoms of poverty are taking place on the map of Poland, an analysis was conducted in two periods: for 2013 and 2008.

scholarly journals DIFFERENCES IN ENVIRONMENTAL GOVERNANCE LEVELS IN THE SUSTAINABLE DEVELOPMENT OF RURAL AREAS OF THE WIELKOPOLSKIE VOIVODESHIP

2018 ◽  
Vol 47 (1) ◽  
pp. 21-28
Author(s):  
Małgorzata Dolata ◽  
Magdalena Jaworska ◽  
Magdalena Jaworska
Keyword(s):  
Rural Areas ◽  
Environmental Governance ◽  
Spatial Differentiation ◽  
Data Bank ◽  
Online Database ◽  
Local Data ◽  
The Sustainable Development ◽  
Central Statistical ◽  
Basic Source ◽  
Selection Of

The purpose of this paper is to assess the leveland spatial differentiation of selected environmental governanceparameters in the context of implementing the sustainabledevelopment concept in rural areas of the Wielkopolskievoivodeship districts in 2005 and 2015. The research procedurewas made up of three steps: review of the relevant literatureand selection of indicators to describe the environmentalgovernance topics; analyzing the changes in, and spatial differentiationof, specific environmental governance components;and ranking the districts. The basic source of data wasthe online database delivered by the Central Statistical Officein Warsaw, the Local Data Bank. As shown by the results,there is considerable spatial differentiation of specific environmentalgovernance components; however, when analyzedglobally, environmental governance proves to be a relativelynon-diversified process. In 2015, the highest sustainabilitylevels were recorded in rural areas of the following districts:Złotów, Kępno and Jarocin. In turn, the lowest levels werefound in Września, Wągrowiec and Śrem districts.

scholarly journals COMBINATORIAL PHARMACOPHORE MODELING AND ATOM BASED 3D QSAR STUDIES OF BENZOTHIADIAZINES AS HCV-NS5B INHIBITORS

2018 ◽  
Vol 10 (3) ◽  
pp. 43
Author(s):  
Prasanthi Polamreddy ◽  
Vinita Vishwakarma ◽  
Manoj Kumar Mahto
Keyword(s):  
Virtual Screening ◽  
Correlation Coefficient ◽  
Current Model ◽  
Pharmacophore Model ◽  
3D Qsar ◽  
Qsar Model ◽  
Pharmacophore Modeling ◽  
Structural Protein ◽  
Pearson's R ◽  
Pearson’S R

Objective: The objective of the current study was to elucidate the 3D pharmacophoric features of benzothiadiazine derivatives that are crucial for inhibiting Hepatitis C virus (HCV) Non-structural protein 5B (NS5B) and quantifying the features by building an atom based 3D quantitative structure-activity relationship (3D QSAR) model.Methods: Generation of QSAR model was carried out using PHASE 3.3.Results: A five-point pharmacophore model with two hydrogen bond acceptors, one negative ionization potential and two aromatic rings (AANRR) was found to be common among a maximum number of benzothiadiazine based NS5B inhibitors. A statistically significant 3D QSAR model was obtained from AANRR.6 which had correlation-coefficient (R2) value of 0.924, cross-validated correlation-coefficient (Q2) of 0.774, high Fisher ratio of 138 and low root mean square standard error (RMSE=0.29). There is another parameter, Pearson’s R, its value emphasizes correlation between predicted and observed activities of the test set. For the current model, Pearson’s R-value is 0.90, hence underlining the good quality of the model. The present study suggests that nitrogen atom of benzothiadiazine sulfamide ring, oxyacetamide group attached to C7 carbon of benzothiadiazine and sulfonamide oxygens are crucial for NS5B inhibitory activity. Prediction of activities of hit drugs generated in earlier research suggests that Aprepitant (Phase predicted activity: 6.9) could be a potential NS5B inhibitor.Conclusion: This 3D QSAR model developed was statistically good and can be used to predict the activities of newly designed NS5B inhibitors and virtual screening as well. Predict the activities of newly designed NS5B inhibitors and virtual screening as well.

Spatial diversity in the living standards of the population by powiats of Eastern and North-Eastern Poland

2017 ◽  
Vol 62 (2) ◽  
pp. 52-71
Author(s):  
Mariusz Malinowski
Keyword(s):  
Spatial Autocorrelation ◽  
Data Bank ◽  
Spatial Diversity ◽  
Population Based ◽  
Living Standards ◽  
Linear Ordering ◽  
Living Standard ◽  
Local Data ◽  
Synthetic Indicators ◽  
North Eastern

The aim of this article is to order linearly and classify powiats in Eastern and North-Eastern Poland by the living standards of the population as well as to carry out spatial autocorrelation analysis based on the created synthetic indicators of the living standard. For the purpose of this article, a synthetic indicator was created to assess living standards of the population based on previously selected set of diagnostic variables. The use of synthetic indicators made it possible to replace the multi-variable description of objects with one statistical number. It enabled to measure a multidimensional area such as living standards of population as well as to perform a linear ordering of examined objects. 101 powiats in the Lubelskie, Podkarpackie, Podlaskie, Świętokrzyskie and Warmińsko-Mazurskie voivodeships were included in the research. The TOPSIS, Ward’s and PAM methods were used in the research. Moreover spatial autocorrelation analyses were carried out based on the Moran’s I statistics. The main criterium for selecting variables was completeness and their accessibility for all objects in the research in the year 2014. Data from the Local Data Bank were used for the research purposes.

Using data clustering in evaluation the diversity of poverty danger in Polish subregions

2016 ◽  
Vol 61 (5) ◽  
pp. 17-36
Author(s):  
Beata Kraszewska
Keyword(s):  
World Bank ◽  
Social Care ◽  
Data Bank ◽  
Poverty Rate ◽  
Local Data ◽  
Diagnostic Features ◽  
Small Areas ◽  
The World Bank ◽  
Spatial Diversification ◽  
Using Data

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.

scholarly journals Demographic determinants of regional development in Eastern Poland

2019 ◽  
Vol 19 (2 (50)) ◽  
pp. 163-183
Author(s):  
Łukasz Karol Bugowski
Keyword(s):  
Human Capital ◽  
Regional Development ◽  
Migration Rate ◽  
Negative Impact ◽  
Data Bank ◽  
Spatial Diversity ◽  
Linear Ordering ◽  
Local Data ◽  
Demographic Trends ◽  
Demographic Processes

Research Background: Demography affects human capital, which today is one of the most important factors of regional development. Demographic factors create possibilities or limit the expansion of the knowledge and skills and condition socio-economic activity. In other words, demography can favour or block regional development. Negative demographic trends, in particular referring to the size and structure of the population as well as population growth, are a significant challenge of regional policy. In addition, in the case of regions with a lower level of development, the migration rate is negative, which in turn may limit regional development. As a consequence, the following hypothesis will be verified in the article: demographic processes are a barrier to the development of regions in Eastern Poland.Purpose of the paper: The main objective of the article is to analyze the spatial diversity of demographic phenomena in Eastern Poland, along with the identification of areas with unfavorable demographic developmental conditions. Implementation of the second objective is to carry out the analysis at the level of subregions, not regions, which will allow for more precise analysis of negative demographic phenomena.Methodology/Methods/Data sources: In the article the method of linear ordering of objects using the taxonomic measure of Z. Hellwig's development is used. In addition, a comparative analysis of the main demographic phenomena in 2010, 2013 and 2016 in Eastern Poland was carried out. The main source of data used in the article was the Statistics Poland (Local Data Bank). Findings: The analysis allows to conclude that in 2010-2016 in Eastern Poland an increase in the demographic burden resulting from the aging population was observed. In addition, the migration rate is negative and sub-replacement fertility rate is common in the majority of the subregions. As a consequence, negative demographic phenomena are increasingly limiting human capital and indirectly have a negative impact on regional development. However, the conducted analysis allows to distinguish subregions with positive values of the analyzed indicators, but it refers only to a few regions including a capital of a given voivodeships, and do not significantly affect the negative general demographic trends in Eastern Poland.

scholarly journals Użytkowanie ziemi a stabilność ekologiczna obszarów wiejskich województwa świętokrzyskiego

2018 ◽  
Vol 105 (1) ◽  
pp. 18-31
Author(s):  
Tadeusz Ciupa ◽  
Roman Suligowski
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Hierarchical Cluster ◽  
Data Bank ◽  
Spatial Diversity ◽  
Ecological Stability ◽  
Local Data ◽  
The Sustainable Development ◽  
The Impact

The paper presents the impact of land use on the ecological stability of rural areas in the Świętokrzyskie province. The work is based on the data published by the Local Data Bank regarding 24 types of land use. According to the methodology used for calculating the ecological stability indicator, these types were divided into two groups: agricultural (with positive and negative characteristics) and non-agricultural. Typological classification of communes was done with the use of Hierarchical Cluster Analysis. Research results show that rural areas of the Świętokrzyskie province have generally low ecological stability indicator, but they are characterised by high spatial diversity. The assessment of rural communes based on the ecological stability indicator may thus be one of the elements taken into consideration while drafting various planning documents, including those related to the management built on the sustainable development principles.

scholarly journals SYNTHETIC MEASUREMENT USED AS ASSESSMENT OF SPATIAL DISPARITIES OF THE NATURAL ENVIRONMENT

2020 ◽  
Vol 49 (49) ◽  
Author(s):  
Jarosław Wenancjusz Przybytniowski ◽  
Paweł Dziekański
Keyword(s):  
Natural Environment ◽  
Raw Materials ◽  
Human Life ◽  
Distribution Network ◽  
Data Bank ◽  
Local Data ◽  
Diagnostic Features ◽  
Lower Efficiency ◽  
Pipe System ◽  
Spatial Disparities

One of important factors of attractiveness of a region is its natural environment, namely a set of natural elements which are of interest to a tourist. In terms of economy, it is a source of raw materials and energy, it ensures geographical space, business opportunities and a place to live and relax. The aim of the research included in this article is to indicate the possibility of using synthetic measurement to recognize spatial disparities of the natural environment on the basis of selected diagnostic features of 102 municipalities of the Świętokrzyskie Voivodeship. The data presented in this article refer to 2009, 2012 and 2015 and come from the Local Data Bank. The following variables were selected: the total use of household water per one inhabitant, the distribution network per 100 km2 - water pipe system, the distribution network per 100 km2 – sewage system, woodland area, areas protected by law, protected monuments. The elements indicated refer to entities which function and operate in a territorial unit. The methods presented enable us to identify areas of human life (or human impact on the environment) of higher/lower efficiency (which depends on the level of synthetic measure) and, then, programme their support from public funds within the framework of the regional policy.

scholarly journals SYNYHETIC MEASURE AS PART OF THE ASSESSMENT OF SPATIAL DISPARITIES OF THE NATURAL ENVIRONMENT IN THE ŚWIĘTOKRZYSKIE VOIVODESHIP

2020 ◽  
Vol 50 (50) ◽  
pp. 55-64
Author(s):  
Jarosław Wenancjusz Przybytniowski ◽  
Paweł Dziekański ◽  
Mark Michalski
Keyword(s):  
Natural Environment ◽  
Human Activities ◽  
Data Bank ◽  
Direct Impact ◽  
Local Data ◽  
Diagnostic Features ◽  
Spatial Disparities ◽  
Peripheral Area

The aim of this research was to indicate the possibilities of using synthetic measure to find and analyse spatial disparities of the natural environment in 102 diagnostic communities of the Świętokrzyskie Voivodeship as a peripheral area. The research was conducted on the basis of selected diagnostic features. The data presented refer to the years 2009, 2012 and 2015 and come from the Local Data Bank. Bearing in mind the research aim, the following hypothesis was formed: The use of proper synthetic measures makes it possible to recognise spatial disparities which appear in the natural environment. This paper is a continuation of the work entitled: Synyhetic Measure Used as Assessment of Spatial Disparities of the Natural Environment (Przybytniowski, Dziekański, 2019). The analysis of the natural environment of municipalities occurs through human activities, and having a direct impact on the environment (indirectly related to the environment).

scholarly journals SPATIAL DIVERSITY OF THE ATTRACTIVENESS OF RURAL COMMUNES FOR ENTERPRISE DEVELOPMENT IN POLAND

2020 ◽  
Vol XXII (2) ◽  
pp. 88-98
Author(s):  
Magdalena Kozera-Kowalska ◽  
Jarosław Uglis
Keyword(s):  
Data Bank ◽  
Spatial Diversity ◽  
Point Of View ◽  
Diagnostic Tools ◽  
Enterprise Development ◽  
Local Data ◽  
Central Statistical ◽  
Moderate Power ◽  
Central Statistical Office ◽  
Budget Expenditure

The aim of this paper is to evaluate the spatial diversity of rural communes in Poland from the point of view of their attractiveness for enterprise development. Empirical analyses were preceded with a comprehensive literature review and a study of available diagnostic tools. Based on their earlier experience, the authors decided to apply the conception of the synthetic measure of attractiveness for the purpose of an empirical study conducted with reference to time and space. The source material was selected information regarding rural communes in Poland, obtained from the Central Statistical Office (GUS), Local Data Bank. Empirical verification was based on the synthetic indexes of entrepreneurship (uiP) and rural commune attractiveness uiA. They were constructed using the non-model measure method, which is the arithmetical mean of normalized features. The results are presented in tables and on maps. Research results clearly indicate that the number of economic entities in rural communes has systematically been growing from year to year. A positive, statistically significant correlation of moderate power was found between the indicators. Also, a positive correlation (statistically significant and of moderate power) was found between commune attractiveness and the spatial distribution of the number of economic entities. Moreover, based on the regression model, it was ascertained that the number of economic entities is most strongly determined by factors such as migration balance, housing conditions and the percentage of budget expenditure on investment.

scholarly journals SPATIAL DIVERSITY OF INFRASTRUCTURE AND ITS IMPACT ON THE DEVELOPMENT PROCESS OF RURAL COMMUNES IN EASTERN POLAND IN 2009-2018

2020 ◽  
Vol 6 (5) ◽  
pp. 23-32
Author(s):  
Paweł Dziekański
Keyword(s):  
Development Process ◽  
Data Bank ◽  
Local System ◽  
Spatial Diversity ◽  
Strong Impact ◽  
Infrastructure Development ◽  
Local Data ◽  
General Process ◽  
Financial Situation ◽  
Material Development

Local government units are developing in an increasingly complex environment that is a place of concentration of economic activity and is a creator of local and regional development. Their activities target all types of resources, i.e., financial, human, material and information. The aim of the article is to rating the diversity of infrastructure of rural communes of Eastern Poland in relation to development. The measurements were carried out using a synthetic measure in a system of 484 communes. Data from the Local Data Bank for 2009-2018 was used as the source material. Development is a general process, multi-dimensional process, covering economic, social, environmental, political and cultural aspects. Regions with a high level of infrastructure development are areas recognized by investors and residents as attractive places for doing business and living. The level of infrastructure development in a given local system in terms of its structure, location, quality and accessibility has a very strong impact on its development. In 2018, the infrastructure measure ranged from 0.23 (best unit) to 0.91 (the weakest unit), and from 0.35 to 0.91 in 2009. In 2018, the measure of development ranged from 0.43 to 0.82, while it ranged from 0.52 to 0.84 in 2009. This indicates a similar range of unit diversity and similar actions undertaken in the economy. Units in the aspect of the measure of development and infrastructure differed the least in the aspect of entrepreneurship, demography and labor market as well as the financial situation, and the most in the aspect of infrastructure and development. The level of infrastructure of Eastern Polish rural communes was shaped primarily by the development process and financial situation but also by the number of people costing from libraries, sewage system and water supply as well as housing resources.

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