dc.contributor.author | Polcyn, Jan | |
dc.contributor.author | Czyżewski, Bazyli | |
dc.date.accessioned | 2018-02-05T09:44:47Z | |
dc.date.available | 2018-02-05T09:44:47Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | 8th International Scientific Conference RURAL DEVELOPMENT 2017, 23-24 November 2017, Aleksandras Stulginskis University Kaunas - Lithuania, Edited by prof. Asta Raupeliene | en |
dc.identifier.isbn | 978-609-449-128-3 | |
dc.identifier.issn | 1822-3230 | |
dc.identifier.issn | 2345-0916 | |
dc.identifier.uri | https://depot.ceon.pl/handle/123456789/14423 | |
dc.description.abstract | Rural areas are typically characterised by uneven access to education and the resulting varying levels of pupils’ educational attainment. The inefficiency
of the education system may lead to a decreased level of human capital development in the society. It is therefore vital to identify the factors responsible
for the inefficiency of the education system and take steps to mitigate their negative impact.
The aim of the present study is to determine the relationship between the population density in rural areas, the pupils’ average level of examination
performance and the educational value added.
The analyses were based on the exam results achieved by lower secondary school-leavers in 1,372 rural communes between 2012 and 2014. The original
intention was to include all rural communesin the analysis. However, due to the incompleteness of the data concerning some of the communes, they
were eventually excluded from the study. The final sample for analysis consisted of about 58% of all rural communes in Poland.
The communes were divided into classes, based on the criterion of population density. The objects under study were arranged in an ascending order
according to the value of the population density variable, and then divided into four classes (class A contained 25% of communes with the highest
population density).
The classes thus defined were used as a qualitative predictor in the subsequently performed ANOVA test. As a next step, contrasts were determined by
applying a simple contrast to the analysed classes of communes.
The analyses revealed that the highest examination results were achieved in the communes with the highest population density, while the lowest
examination results were found in the communes with the lowest population density. This dependence may be indicative of educational negligence at
lower levels of education, in this particular case - at the stage of primary school.
The results of the analyses point to the need for expanding the network of nursery schools. To address the above problem, financial support should be
provided from the state budget to social initiatives aimed at increasing the access to nursery schools, e.g. by creating an appropriate system of subsidies
for nursery schools run by both local governments and private entities. | en |
dc.language.iso | en | |
dc.publisher | Aleksandras Stulginskis University | |
dc.rights | Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/pl/ | * |
dc.subject | ANOVA | en |
dc.subject | educational effectiveness | en |
dc.subject | human capital | en |
dc.subject | rural areas | en |
dc.subject | educational diversification | en |
dc.title | Population density in rural areas as a driver of the human capital development | en |
dc.type | conferenceObject | en |
dc.contributor.organization | Stanislaw Staszic University of Applied Sciences in Pila | en |
dc.contributor.organization | Poznań University of Economics and Business | en |