Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 11

first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
EN
The topic of the research focused on small towns in peripheral areas (that is, outside metropolitan areas) in 3 voivodships in northern Poland (Pomeranian, Varmian- -Masurian and West Pomeranian). The author argues that the industry development in small towns can be an important development factor of peripheral areas. The author identifies the development level of the town industrial function and analyses their correlations with some of the features of the towns and their surroundings. He characterizes also most important industry in towns where the level of industry development is the highest. He is also searching for an answer to the question about factors of industry development in researched towns. In many cases in which spatial factors are difficult to explain by their configuration, coincidence can be said to play an important role.
EN
Peripheries means the land outside metropolitan areas. One of the main problems in these areas is a lack of growth factors. Some towns can contribute to the development of these regions, because there are few such factors, and it is easier to create the new ones, especially in urban policy. The subject of this paper is a typology of towns within the Polish peripheral coastal regions, limited to towns with more than 5 thousand inhabitants. Its purpose is to recognize diverse role of towns in the regional development, and to create the basis for the formulation of urban and regional policy. Typology takes into account the state of economic development, the external functions of towns, their impact, as well as present and future transport accessibility. Two kinds of systematization were applied: 1) quantitative typology applying Principal Components Analysis (PCA) and the cluster analysis using the k-means algorithm, 2) qualitative classifications. Then synthetic typology was done. As a result of the typology, there were identified important towns for the future development of peripheral areas and formulated the conclusions for regional planning and urban policy.
EN
It is important to recognise future conditions in planning because it primes future actions. Scenarios are useful prognostic tools, especially when the social and institutional behaviour plays a crucial role. The aims of the paper are: (1) to indicate the roles and the place of scenarios in the strategic plan building process; (2) to analyse and evaluate the application of scenarios in regional planning in Poland; (3) to transpose the research results on scenarios in local planning for their application in regional planning. There are a few documents in which scenarios are applied: three strategies for regional development and two spatial development plans for regions. The author analysed the scenarios in all of those documents and offered some recommendations transposing the effects of previous research from local to regional planning.
EN
Sub-regional centres are defined as towns, in which there are concentrated the types of services that in Poland may exist in several towns of the voivodeship, but not in every capital of poviat (county). The services have always had a tendency to concentrate, creating service centres of different levels in hierarchical settlement network. The objectives of the present research were: (1) definition of services typical of the sub-regional level; (2) recognition of the concentration of these services, the centres created by them and their distribution, and (3) verification to which extent the regularity relate to the concentration of services in hierarchical centres at the sub-regional level in Poland. Presented study includes only centres apart metropolitan areas and apart capital of voivodeships. Typical services defining sub-regional centres were: courts of second instance, multi-specialised hospitals, universities and multiplexes. The diversity of centres was analysed with the use of the classification method and their distribution – by cartographic analysis methods. The research was a continuation of research from 2015. Taking into account more recent data and a wider range of services, it identified 23 sub-regional complete centres and 46 incomplete ones, in which sets of services create different combinations, with two dominant ones. The regularity relating to the concentration of services was stated. The location of centres is uneven, probably due to the diversity of population density
PL
Ośrodki podregionalne definiowane są jako miasta, w których skoncentrowane są takie usługi, które w Polsce mogą występować w kilku miastach województwa, ale nie w każdym mieście powiatowym. Usługi zawsze miały tendencję do koncentracji, tworząc ośrodki różnych poziomów w hierarchicznej sieci osadniczej. Celem prezentowanych badań było: (1) określenie usług typowych dla poziomu podregionalnego; (2) rozpoznanie koncentracji tych usług, tworzonych przez nie ośrodków i ich rozmieszczenia oraz (3) ocena, w jakim stopniu występują prawidłowości hierarchicznego modelu lokalizacji usług na poziomie podregionalnym w Polsce. Takie usługi w Polsce, poza obszarami metropolitalnymi i miastami wojewódzkimi, były przedmiotem badań. Za usługi typowe, definiujące ośrodki podregionalne, uznano: sądy okręgowe, szpitale wielospecjalistyczne, wyższe uczelnie i kina multipleksowe. Zbadano metodą klasyfikacji zróżnicowanie ośrodków, a poprzez analizę kartograficzną – ich rozmieszczenie. Badania, będące kontynuacją badań z 2015 roku, uwzględniające aktualniejsze dane i szerszy zakres usług, wykazały 23 ośrodki podregionalne pełne i 47 niepełnych, w których zestawy usług tworzą różne kombinacje, z dwoma dominującymi. Jako prawidłowość stwierdzono dużą koncentrację usług. Rozmieszczenie ośrodków jest nierównomierne, prawdopodobnie z powodu zróżnicowania gęstości zaludnienia.
EN
The European Commission put a growing emphasis on the territorial and integrated approach to policy support addressed in the frame of regional policy. In a special way this process refers to cities along with their functional environment. In Poland the National Spatial Development Concept 2030 has introduced the concept of functional areas, among others – Functional Urban Areas (FUAs). There is also a new tool – Integrated Territorial Investment (ITI) – for FUAs in the EU programming perspective of 2014-2020. The scope of the article includes FUAs of regional and sub-regional centers in Pomeranian Voivodeship. The objectives of this paper are: to identify the diversity of projects planned for FUAs; to identify factors that integrate the projects mentioned above. The following main methods have been applied: analysis of documents; typology of projects proposed for implementation concerning their subject and integrating factors. Territorial agreements basing on regional operational program were a formula of development planning in the researched FUAs, more liberal than the formula of ITI. In 95% projects integrating factors can be identified (as hypothesis) and classified. The projects relate to many fields, the most to energy efficiency, health and transport.
EN
Most of the growth factors is situated in big cities, especially in metropolitan areas. Questions arise:1) Whether and what development factors are in the peripheral areas of voivodeships (i.e. outside the functional areas of their capitals)?2) Can the industry be the driving force of the development of these areas?These questions are related to the discussion on the reindustrialisation of the European Union and the role of Poland in this process. This study aims to at least partially answer the questions mentioned above. The subject of research was cities with poviat (county) status in peripheries of voivodeships. The purpose was to check:1) what is the level of industrial development in these cities,2) whether specific development factors and their combinations are noticed and used in strategies for the development of 11 cities. The following research methods were used: statistical analysis of indicators, cartographic analysis and analysis of 11 cities’ development strategies. It has been found that specific development factors and their combinations are not properly recognised, exposed and used in most of the strategies studied.
PL
Najwięcej czynników rozwoju posiadają duże miasta, a zwłaszcza obszary metropolitalne.Pojawiają się pytania: 1) Czy i jakie czynniki rozwoju są na obszarach peryferyjnych województw (czyli pozaobszarami funkcjonalnymi miast wojewódzkich)? 2) Czy motorem rozwoju tych obszarów mógłby być przemysł? Pytania te mają związek z dyskusją na temat reindustrializacji Unii Europejskiej i roli Polski w tym procesie. Niniejsze opracowanie ma przynajmniej częściowo odpowiedzieć na powyższe pytania. Przedmiotem badań były miasta na prawach powiatu na obszarach peryferyjnych województw, a celem – sprawdzenie:1) jaki jest poziom rozwoju przemysłu w tych miastach,2) czy specyficzne czynniki rozwoju i ich kombinacje są zauważane i wykorzystywane w strategiach rozwoju miast. Jako metody badawcze zastosowano: analizy statystyczne wskaźników, analizy kartograficzne oraz analizy strategii rozwoju 11 miast. Stwierdzono, że specyficzne czynniki rozwoju, a tym bardziej ich kombinacje, w większości badanych strategii nie są właściwie rozpoznawane, eksponowane i wykorzystywane.
EN
A common phenomenon of development is the big difference in its levels, especially between metropolitan and non-metropolitan areas. Non-metropolitan areas are also very different. In some of them, industry plays a big role. European Union’s NUTS 3 non-metropolitan low developed sub-regions, whose gross domestic product per capita in 2011 was below 75% of the EU average, were the subject of research. It is based on the data and Principal Component Analysis used for the typology of 319 sub-regions prepared in 2014. The purposes of the research presented were to identify industrial sub-regions among aforementioned sub-regions, to investigate their diversity and to recognize more detailed sub-regions with the most developed industry. There was also a methodological purpose: to verify a concept for taking into account the weight of principal component in grouping sub-regions into types. As many as 53 sub-regions, in which the rate of gross value added in industry (in %) is 3 times bigger than average in the whole set of the sub-regions examined (that is more than 35%) were defined as industrial. Typology for these sub-regions was made by the cluster analysis using hierarchical method and grouping sub-regions into four types. More detailed characteristics of some sub-regions is the last part of this work.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.