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EN
This paper seeks to present functional changes taking place in the economies of towns of Wielkopolska voivodeship. The set of towns examined included 109 units, and the study period embraced the years 2009 and 2015. The examination of functional changes was conducted in terms of size classes of towns and by comparing towns of the Poznań agglomeration against the remaining towns of Wielkopolska voivodeship. The most important cognitive conclusions following from the study are as follows:1. In 1973 the towns of Wielkopolska voivodeship represented nine functional types, and in the years 2009 and 2015 only six types, including three with a smaller or greater share of services. The uniformisation of the functional structure of the towns is caused by the tertiarisation of their economies.2. The dynamics of the number of economic entities is the highest in the service sector, but differs in individual NACE sections. The highest rate of increase in the number of entities takes place in so-called modern services.3. An examination of differences in the functional structure of the Wielkopolska towns (conducted on the basis of employment in NACE sections) leads to the conclusion that with an increase in the population of a town the diversification of its functional structure grows too. In the study period 2009–2015, the highest increase in functional differences among the towns was recorded in the set of small towns with 5 to 10 thous. inhabitants.4. The conducted measurements of the economic base of the Wielkopolska towns showed that with an increase in a town’s population, specialisations in sections of the agricultural and then the industrial sector gave way to specialisations in sections connected with the service sector. Over the study period, there were no marked changes in the kind of exogenous functions performed by towns belonging to individual size classes.5. Apart from the size of towns, a significant factor affecting a town’s economy and the intensity of its functional changes proved to be its location in relation to (distance from) the central city of the voivodeship, i.e. Poznań. This was demonstrated by comparing the towns in the Poznań agglomeration against the remaining towns of the voivodeship. Changes in the economic structure of towns closely connected functionally with Poznań showed a higher dynamics and were more advanced than in the other towns of the voivodeship.
PL
Celem niniejszej pracy jest przedstawienie zmian funkcjonalnych dokonujących się w gospodarce miast województwa wielkopolskiego. Badany zbiór miast liczy 109 ośrodków. Zakres czasowy pracy obejmuje lata 2009 i 2015. Podstawę opracowania stanowią materiały zakupione w Urzędzie Statystycznym w Poznaniu. Są to dane dotyczące zarówno liczby pracujących, jak i liczby podmiotów gospodarczych zarejestrowanych w systemie REGON według sekcji i działów Polskiej Klasyfikacji Działalności z 2007 r. Badanie zmian funkcjonalnych przeprowadzono przy uwzględnieniu klas wielkościowych miast oraz w układzie: miasta aglomeracji poznańskiej–pozostałe miasta województwa wielkopolskiego.
EN
Towns constitute 9% of the settlements of Hungary and represent 68% of the population. This value roughly corresponds to the European Union average. Their number, however, considerably grew in the past decade. While in 1980 there were 96 settlements with town status in 1990 there were already 177 and at present there are 324, which is more over three times more than in 1980. Nevertheless, there are significant differences in their size and scope of activities. Several researches have been conducted concerning the urban fields of many settlements and larger territorial units in Hungary but there no comprehensive map of the urban fields has been prepared yet. Inter-settlement relations started to play a more and more important role in the economic life of the country. The paper focuses on the study of the urban fields of the towns situated along the borders of Hajdú- Bihar county pointing out those functions whose attractions remain within the administrative border and those which cross it. The studied area are the towns along the county border. A special methodology was used which could be used for other regions and towns in other countries.
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