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

Author(s):  
Maria Klonowska-Matynia

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.

Author(s):  
Maria Klonowska-Matynia

The paper aimed to examine the level and asses the spatial distribution of human capital defined in the area of health quality in rural areas of the West Pomeranian province. The selected methods of multicriteria taxonomy to estimate the synthetic index HCSIh and agglomeration methods for grouping objects with a relatively homogeneous internal structure were used. It was assumed the correlation between the level of health capital HCSIh and the type of commune separated due to the component of the level of socio-economic development according to the MROW typology. The obtained results indicate uneven distribution of health capital, but they do not give grounds for accepting the verified hypothesis. The study covered rural areas of the West Pomeranian province, defined according to the CSO administrative criterion as rural and rural-urban communes. The Central Statistical Office Local Data Bank and the Monitoring of rural areas development data were the main source.


Author(s):  
Paweł Siemiński ◽  
Jakub Hadyński ◽  
Walenty Poczta

The aim of this paper is to estimate, as well as analyse and assess spatial diversification in human capital resources in rural and urban areas of Poland. Studies have static nature and relate to the state of the situation in 2018 year. A synthetic index of human capital resources (IHCR) was applied, based on which a hierarchy was developed for rural and urban areas, depending on the administrative division into provinces determining the degree of their diversification in terms of their human capital resources. Human capital resources were analysed in four categories, i.e. in terms of employment, education, entrepreneurship and unemployment, using data from the Local Data Bank CSO database. Research results indicate considerable regional (spatial) diversification of rural and urban areas. We may distinguish two homogeneous classes, including urban areas with a high level of human capital development, as well as rural areas with their low level. Moreover, there is a heterogeneous group of the so-called medium level of human capital, composed of both urban and rural areas. Particularly, observed polarization in human capital resources may in the future reduce the absorption of development impulses within both national and EU development policies.


2019 ◽  
Vol 19 (2 (50)) ◽  
pp. 163-183
Author(s):  
Łukasz Karol Bugowski

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.


Author(s):  
Agnieszka WOJEWÓDZKA-WIEWIÓRSKA

The article refers the issues of structural capital in Poland, measured by the number of the organization and an indicator of the number of organizations per 10 thousand inhabitants. Deliberations for this component of social capital were conducted at the regional level (NUTS 2). Spatial disparities and the differences between urban and rural areas in 2005–2014 were determined. Data source was a Local Data Bank prepared by Central Statistical Office of Poland. It was a clear regional differences in terms of the activity of foundations and social organizations. In all voivodeships saw an increase in the number of foundations and associations per 10 thousand inhabitants in the analyzed period, both in urban and in rural areas. In rural areas the increase was much greater than in the towns. In comparison with rural areas, a higher level of the structural social capital was observed in towns.


2018 ◽  
Vol 47 (1) ◽  
pp. 21-28
Author(s):  
Małgorzata Dolata ◽  
Magdalena Jaworska ◽  
Magdalena Jaworska

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.


2021 ◽  
Vol 66 (11) ◽  
pp. 27-47
Author(s):  
Jakub Kubiczek ◽  
Martyna Bieleń

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.


2017 ◽  
Vol 62 (2) ◽  
pp. 52-71
Author(s):  
Mariusz Malinowski

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.


2016 ◽  
Vol 61 (2) ◽  
pp. 73-87 ◽  
Author(s):  
Agnieszka Kozera ◽  
Romana Głowicka-Wołoszyn ◽  
Feliks Wysocki

Financial independence is an important factor in socio-economic development, especially in rural areas. Rural gminas (communities), mainly located peripherally to larger urban centers, have significantly lower revenue potential. This also means a lower level of financial independence of rural gminas, which in turn can be a barrier in multifunctional rural development. This issue is a priority for the European Union. The main objective of this article is a synthetic assessment of the level of financial independence of rural gminas in the Wielkopolskie voivodship in 2013. The basis of information studies, using the method TOPSIS (Technique for Order Preference by Similarity is an Ideal Solution) to assess the financial condition of municipalities, were data from the Central Statistical Office (Local Data Bank — Public finances for 2013) and Ministry of Finance (Indicators for assessing the financial position of local government units in 2011—2013).


Author(s):  
Katarzyna PAWLEWICZ ◽  
Adam PAWLEWICZ ◽  
Iwona CIEŚLAK

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.


2021 ◽  
Vol 19 (4) ◽  
pp. 69-78
Author(s):  
Sławomir Kalinowski

This article is an attempt to determine the level of poverty in rural areas in Poland. The author reviewed the most important publications on poverty and the indicators that determine its scale. Relative, objective and subjective poverty lines were used to present the range of rural poverty against the background of total poverty. Analyses showed that the at-risk-of-poverty rate for rural areas in Poland amounted to 21.2%. This means that almost every fifth rural resident is at risk of poverty, whereas every tenth resident is at risk of extreme poverty. The article also presents the rural areas in Poland which are at the highest risk of social exclusion. These areas were distinguished on the basis of the number of registered families receiving social benefits. Both Eurostat (EU-SILC) and Local Data Bank of the Statistics Poland (BDL GUS) were used.


Sign in / Sign up

Export Citation Format

Share Document