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The Role of Economic Growth and Spatial Effects in Poverty in Northern Hungary

  • Metaadatok
Tartalom: http://dx.doi.org/10.15196/RS04103
Archívum: MTA Könyvtár
Gyűjtemény: Status = Published


Type = Article
Cím:
The Role of Economic Growth and Spatial Effects in Poverty in Northern Hungary
Létrehozó:
Síposné Nándori, Eszter
Dátum:
2014
Téma:
G Geography (General) / Földrajz általában
H Social Sciences (General) / társadalomtudomány általában
Tartalmi leírás:
The study examines how the recent economic crisis and the related unfavourable economic
features affect poverty. As economic crisis is usually associated with many economic and
social problems, it tries to determine to what extent it influences poverty. The paper
attempts to prove that economic recession contributes not only to the impoverishment of a
significant section of society, but also increases the depth of poverty significantly. If the
research supports this hypothesis, it is worth examining to what extent one percent
economic growth or economic decline can decrease or increase the rate of the poor and the
depth of poverty. Besides the effect of economic growth on the given area, the paper also
analyses the effect of the economic growth of the neighbouring areas. The initial
hypothesis states that the economic growth of the neighbouring regions can also alleviate
poverty. As for spatial effects, spatial autocorrelation is examined in the average income
level to reveal how the economic growth of the neighbouring areas affects a given region.
The study examines Northern Hungary, one of the most backward regions in Hungary
(based on GDP per capita). Eurostat (2010) reports this region is among the poorest twenty
regions within the European Union (based on GDP per capita PPP, Northern Hungary is
the 259th among the 271 regions of the European Union)
Típus:
Article
PeerReviewed
Formátum:
text
Azonosító:
Síposné Nándori, Eszter (2014) The Role of Economic Growth and Spatial Effects in Poverty in Northern Hungary. Regional Statistics : journal of the Hungarian Central Statistical Office, 4 (1). pp. 28-39. ISSN 2063-9538
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