FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIA

Study delivers an overview on general approach of economic development being most commonly connected to GDP per capita values The given index, however – beside its advantages – shows up a number of disadvantages e.g. it can be calculated only on county- (NUTS III) level. A regional statistical class...

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Main Author: Tamás MOLNÁR
Format: Article
Language:Bulgarian
Published: University of Zagreb, Faculty of Agriculture 2007-12-01
Series:Journal of Central European Agriculture
Subjects:
Online Access:http://jcea.agr.hr/articles/466_FACTORS_INFLUENCING_DEVELOPMENT_LEVEL_OF_SETTLEMENTS_IN_SOUTHTRANSDANUBIA_en.pdf
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author Tamás MOLNÁR
author_facet Tamás MOLNÁR
author_sort Tamás MOLNÁR
collection DOAJ
description Study delivers an overview on general approach of economic development being most commonly connected to GDP per capita values The given index, however – beside its advantages – shows up a number of disadvantages e.g. it can be calculated only on county- (NUTS III) level. A regional statistical classifi cation system has already been created in Hungary but on the compulsory NUTS II level (regions) the development levels of counties, micro-regions and settlements are remarkably different. Development level is measured on settlement level by the author on the basis of 17 socio-economic and infrastructural factors. Results point out that differences between the development level of settlements failed to decrease, in contrary the gaps slightly increased by the end of the examined period as it is shown by the variation co-effi cient of annually calculated Complex Development Index.
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spelling doaj.art-b83bb3c75b724daaa1065a4fc32f735d2022-12-22T00:47:42ZbulUniversity of Zagreb, Faculty of AgricultureJournal of Central European Agriculture1332-90492007-12-0183277284FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIATamás MOLNÁRStudy delivers an overview on general approach of economic development being most commonly connected to GDP per capita values The given index, however – beside its advantages – shows up a number of disadvantages e.g. it can be calculated only on county- (NUTS III) level. A regional statistical classifi cation system has already been created in Hungary but on the compulsory NUTS II level (regions) the development levels of counties, micro-regions and settlements are remarkably different. Development level is measured on settlement level by the author on the basis of 17 socio-economic and infrastructural factors. Results point out that differences between the development level of settlements failed to decrease, in contrary the gaps slightly increased by the end of the examined period as it is shown by the variation co-effi cient of annually calculated Complex Development Index.http://jcea.agr.hr/articles/466_FACTORS_INFLUENCING_DEVELOPMENT_LEVEL_OF_SETTLEMENTS_IN_SOUTHTRANSDANUBIA_en.pdfregionsfactors of developmentcomplex development of settlementsmeasure of development
spellingShingle Tamás MOLNÁR
FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIA
Journal of Central European Agriculture
regions
factors of development
complex development of settlements
measure of development
title FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIA
title_full FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIA
title_fullStr FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIA
title_full_unstemmed FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIA
title_short FACTORS INFLUENCING DEVELOPMENT LEVEL OF SETTLEMENTS IN SOUTHTRANSDANUBIA
title_sort factors influencing development level of settlements in southtransdanubia
topic regions
factors of development
complex development of settlements
measure of development
url http://jcea.agr.hr/articles/466_FACTORS_INFLUENCING_DEVELOPMENT_LEVEL_OF_SETTLEMENTS_IN_SOUTHTRANSDANUBIA_en.pdf
work_keys_str_mv AT tamasmolnar factorsinfluencingdevelopmentlevelofsettlementsinsouthtransdanubia