Population projection for Hungary and its relation with climate change

dc.author.mtmtid10048521
dc.author.mtmtid10013829
dc.author.mtmtid10013795
dc.contributor.authorKirály, Gábor
dc.contributor.authorCzirfusz, Márton
dc.contributor.authorKoós, Bálint
dc.contributor.authorTagai, Gergely
dc.contributor.authorUzzoli, Annamária
dc.date.accessioned2018-02-12T11:39:45Z
dc.date.available2018-02-12T11:39:45Z
dc.date.issued2017
dc.description.abstractThis paper presents some of the most important results and theoretical as well as methodological experiences of a recent research project into long-term socio-economic forecasting in relation to climate change in Hungary. The main empirical part contains a population projection of demographic processes in Hungary until 2051, on the scale of LAU-1. This model focuses on demographic processes with the statistical indicators of population by number and age groups. The main added value of the project is that it delivers spatially disaggregated data on future socio-economic, in particular demographic trends in Hungary and links these processes to climate change through heat waves, thereby addressing the needs of social groups which are most vulnerable to climate change.hu
dc.description.accessszabadon elérhető / Free accesshu
dc.identifier.citationEuropa XXI 2017: (1) pp. 5-20. (2017)hu
dc.identifier.mtmt-recordid3262005
dc.identifier.urihttp://hdl.handle.net/11155/1539
dc.identifier.urihttp://rcin.org.pl/igipz/dlibra/docmetadata?id=63684&from=publicationhu
dc.languageangolhu
dc.rightsCreative Commons Attribution Non-Commercial No Derivatives (CC-BY-NC-ND-4.0) Nevezd meg!-Ne add el!-Ne változtasd!hu
dc.subjectéghajlatváltozáshu
dc.subjecttársadalmi-gazdasági modellezéshu
dc.subjecttársadalmi folyamatok - Magyarországhu
dc.subjectdemográfiai előrejelzés - Magyarországhu
dc.titlePopulation projection for Hungary and its relation with climate changeen
dc.type.descriptionfolyóiratcikkhu
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
kiraly_population_2017.pdf
Size:
2.29 MB
Format:
Adobe Portable Document Format
Description:
publikált változat / peer reviewed version
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: