Evaluation of the level of social development of poviats in Małopolskie Voivodship with the use of a dynamic synthetic measure

2021 ◽  
Vol 66 (4) ◽  
pp. 45-63
Author(s):  
Jadwiga Bożek ◽  
Janina Szewczyk
Keyword(s):  
Social Development ◽  
Labour Market ◽  
Data Bank ◽  
Living Conditions ◽  
Health Protection ◽  
Linear Ordering ◽  
Local Data ◽  
Diagnostic Features ◽  
Demographic Situation ◽  
Multidimensional Objects

The level of social development of territorial units in Poland is an important topic in the context of the pursued policy to equalise the differences in regional development. Nowadays, spatial disproportions in development are considered one of the main social problems also in Małopolskie Voivodship. The purpose of the study described in the article involves the comparison of changes in the level of social development in the poviats of Małopolskie Voivodship in the period of 2010–2019 by means of a dynamic synthetic measure. The situation of these poviats was evaluated based on data provided by the Local Data Bank of Statistics Poland, describing 10 selected diagnostic features relating to the following areas: the demographic situation, the labour market, education, standard of living and health protection of the inhabitants. The method of linear ordering of multidimensional objects in a dynamic approach was applied. The volume of changes in the level of development of the poviats was determined on the basis of a dynamic synthetic measure. The results of the study indicate that in all of the poviats, a significant decline was observed in the value of the synthetic measure describing the demographic situation and education. On the other hand, the positive aspect is that in all of the poviats the value of the synthetic measure relating to the labour market, living conditions and health protection of the population increased significantly. Consequently, the disproportions between the poviats in the analysed period deepened in terms of the demographic situation and education, whereas the differences in the level of development decreased in the case of the labour market, living conditions and health protection of the population.

scholarly journals Zmiany w poziomie rozwoju społecznego województw w latach 2010 i 2019 z zastosowaniem dynamicznego miernika syntetycznego

2021 ◽  
Vol 65 (1) ◽  
pp. 109-123
Author(s):  
Jadwiga Bożek ◽  
◽  
Janina Szewczyk ◽  
Monika Jaworska ◽  
◽  
...  
Keyword(s):  
Social Development ◽  
Social Situation ◽  
The Other ◽  
Linear Ordering ◽  
Dynamic Approach ◽  
Diagnostic Features ◽  
Demographic Situation ◽  
The Social ◽  
Central Statistical ◽  
Central Statistical Office

The aim of the work is to compare the level of progress of social development in voivodeships during the period 2010–2019 with the application of a dynamic synthetic measure. The work is based on data published by the Central Statistical Office characterizing the social situation in individual voivodeships for 2010 and 2019. The linear ordering of multi-feature objects method was used, where the normalization of the variables was carried out using the zero unitarization method. The analysis was carried out in static and dynamic terms. In addition to the indicative values, which included 11 features describing the demographic situation, labor market, education and living conditions, the rankings of voivodeships were prepared in terms of the level of social development in the analyzed years using a static and a dynamic approach. Based on the dynamic synthetic measure, the direction and size of changes that took place in individual voivodeships in the period 2010–2019 were ranked. Research shows that only in 7 voivodeships (Mazowieckie, Małopolskie, Pomorskie Dolnośląskie, Podkarpackie, Kujawsko-Pomorskie and Podlaskie) did the situation improve in terms of the adopted set of diagnostic features, while in the other cases it worsened. In 2019, the best situation occurred in the following voivodeships: Mazowieckie, Małopolskie, Pomorskie and Wielkopolskie, and the lowest indexes were recorded in the following voivodeships: Świętokrzyskie, Warmińsko-Mazurskie, Opolskie and Zachodniopomorskie. In the examined period, the disproportions between voivodeships increased in terms of the studied phenomenon. The application of a dynamic index of development growth allowed not only linear ordering of objects, but also evaluation of the direction and magnitude of the changes in individual objects in the analyzed period.

The level of socio-economic development of regions in Poland

2021 ◽  
Vol 66 (11) ◽  
pp. 27-47
Author(s):  
Jakub Kubiczek ◽  
Martyna Bieleń
Keyword(s):  
Economic Development ◽  
Environmental Protection ◽  
Euclidean Distance ◽  
Data Bank ◽  
Linear Ordering ◽  
Economic Policies ◽  
Local Data ◽  
Taxonomic Analysis ◽  
Socio Economic Development ◽  
The Difference

The development of regions within one country is an uneven process. States seek to reduce internal inequalities between particular regions through the implementation of appropriate economic policies, as is the case of Poland. The aim of the study is to evaluate the level of socio-economic development of regions in Poland (voivodships) in the years 2013– 2019. For this purpose, a taxonomic analysis based on Hellwig’s development measure was conducted and the Euclidean distance was applied to assess the difference between the obtained pattern and particular voivodships. On the basis of data provided by the Local Data Bank of Statistics Poland and through linear ordering, two rankings of voivodships were created: one reflecting their socio-economic development excluding environmental protection aspects and the other focusing solely on the issue of environmental protection. Low values of the coefficient of variation relating to a part of the analysed variables indicated that the development level of voivodships in the analysed period is in many respects very similar. The variables crucial for determining the differences between voivodships show that Mazowieckie Voivodship occupies high positions in both rankings (and is the leader in the ranking of socio-economic development excluding environmental protection aspects), while Warmińsko-Mazurskie Voivodship is characterised by a low level of development illustrated by both rankings.

The standard of living in the powiats of Lubuskie voivodship

2019 ◽  
Vol 64 (11) ◽  
pp. 25-41
Author(s):  
Dorota Szaban
Keyword(s):  
Social Factors ◽  
Data Bank ◽  
Living Conditions ◽  
Standard Of Living ◽  
Economic Factors ◽  
Local Data

The aim of the paper is to measure the standard of living in the powiats of Lubuskie voivodship and to group themaccording to this criterion. The analyses were carried out for the data from 2017 obtained from the Statistical Office in Zielona Góra and the Local Data Bank of Statistics Poland. The author used selected indicators describing the standard of living in 10areas that determine the living conditions of communities in the Lubuskie powiats. The standard of living was measured using Hellwig’s synthetic taxonomic measure. The study demonstrated that what distinguished the groups of powiats (extracted by the measure) to the largest extent, were economic factors. Howe-ver, cities with powiat status, where infrastructural, environmental and social factors were more important, proved an exception to this rule.

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 THE IMPACT OF TECHNOLOGICAL CAPACITY DEVELOPMENT ON THE LABOR MARKET CONDITION. THE CASE OF THE DOLNOŚLĄSKIE AND LUBUSKIE VOIVODSHIPS

2020 ◽  
Vol 50 (50) ◽  
pp. 13-20
Author(s):  
Łukasz Grzęda ◽  
Sylwester Kozak
Keyword(s):  
Labour Market ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Estimation Method ◽  
Data Bank ◽  
Market Condition ◽  
University Graduates ◽  
Local Data ◽  
Technological Capacity ◽  
The Impact

The aim of the article is to assess the impact of the development of technological capacity on the labour market in Poland, in voivodships with significantly different GDP levels: the Dolnośląskie and nearly four times smaller the Lubuskie. Data for the years 2002-2017 were obtained from the CSO Local Data Bank. The research used linear regression analysis and the OLS estimation method. The results have shown that the expenditure on R&D are not a positive factor of employment growth in both voivodships, which may be due to their low values in relation to GDP (on average around 0.5%). The number of students and universities had a positive impact on the labour market in both regions. The catch-up effect and accelerated development recorded in the second part of the examined period in the Lubuskie could have had an impact on better absorption of university graduates and registered patents by businesses and their positive impact on employment levels, in contrast to the Dolnośląskie. Improvement in the economic situation in both voivodships and in the whole country also had a positive impact on the improvement of conditions on the labour market.

scholarly journals THE INFLUENCE OF NATURA 2000 SITES ON THE INVESTMENT ATTRACTIVENESS OF POLISH REGIONS

2018 ◽  
Author(s):  
Katarzyna PAWLEWICZ ◽  
Adam PAWLEWICZ ◽  
Iwona CIEŚLAK
Keyword(s):  
Administrative Support ◽  
Natura 2000 ◽  
Data Bank ◽  
Linear Ordering ◽  
Basic Unit ◽  
Published Data ◽  
Social Infrastructure ◽  
Local Data ◽  
Order Preference ◽  
Labor Resources

This article evaluates the influence of the Natura 2000 network (N2K) of protected areas on the investment attractiveness of Polish regions. Natura 2000 sites were analyzed with the use of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a linear ordering method with a common pattern and anti-pattern of development, and correlation analysis (Pearson’s correlation coefficient). The basic unit of analysis was the county (Polish: powiat, the second-level unit of local government and administration in Poland). Poland is divided into 16 regions (known as voivodeships) with a total of 380 counties. The results of the analysis were used to determine synthetic values describing the level and potential of investment attractiveness in Polish counties, and the strength of correlations between the evaluated phenomena. Indicators of investment attractiveness of Polish counties were selected based on published data and analyzed in view of several criteria: labor resources, technical infrastructure, social infrastructure, market support and administrative support. The correlations between the investment attractiveness of Polish counties and the presence of N2K sites in those counties were analyzed statistically. Data for analysis were acquired from the Local Data Bank of the Central Statistical Office. The analysis revealed that the presence of N2K sites in the examined territorial units does not significantly influence their investment attractiveness.

EDUCATIONAL COMPETENCIES VS HUMAN CAPITAL DIVERSIFICATION ON RURAL AREAS IN THE ZACHODNIOPOMORSKIE PROVINCE

2017 ◽  
Vol XIX (3) ◽  
pp. 121-128
Author(s):  
Maria Klonowska-Matynia
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Data Bank ◽  
Linear Ordering ◽  
Local Data ◽  
Synthetic Indicator ◽  
Data Source ◽  
Peripheral Areas ◽  
Examination Board ◽  
Stage 1

The aim of the paper was to determine the level of differentiation and classification of rural areas in the Zachodniopomorskie province in terms of human capital resources defined in the field of education. The linear ordering method in the study was applied, and as a result, each spatial unit the synthetic indicator was assigned, describing the total level of the resource. It was assumed the uneven spatial distribution of human capital. The obtained results confirm: a higher level of human capital cumulating on highly urbanized areas and the occurrence of deficits on peripheral areas characterized by qualitatively low educational competences (also outside the formal). The study encompasses rural areas defined as rural and rural-urban gminas distinguished according to the GUS administrative criterion. The Regional Examination Board (OKE) in Poznan, the National Census of 2011 (NSP), the Local Data Bank of the CSO and the data of Rural Development Monitoring stage 1 were the main data source.

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 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.

Sign in / Sign up

Export Citation Format

Share Document