Well-Being and Geography: Modelling Differences in Regional Well-Being Profiles in Case of Spatial Dependence—evidence From Turkey
| dc.contributor.author | Kourtit, Karima | |
| dc.contributor.author | Nijkamp, Peter | |
| dc.contributor.author | Elburz, Zeynep | |
| dc.date.accessioned | 2023-01-10T08:01:40Z | |
| dc.date.available | 2023-01-10T08:01:40Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The aim of this study is to provide a new quantitative perspective on the geography of well-being using an urban–rural typology and characteristic city size elements in order to detect where people are happier and to examine the determinants of well-being by considering spatial dependence effects. We use 81 NUTS 3 regions and the time period 2012–2019 to analyse the geography of well-being for Turkey with panel and spatial panel models. Our results show that living in an urban area, in general, makes people happy, but that density negatively affects well-being. In addition, city size matters for enhancing well-being. We also analyse the determinants of well-being by using several socio-economic well-being indicators. Next, the aspatial and spatial model results based on spatial econometric regressions show that education, health, employment, and income are all important for well-being, whereas indirect effects (spillovers) of these indicators also exist. Our results indicate that ignoring spatial effects causes a misinterpretation of the effects of critical determinants of well-being in geography. | en_US |
| dc.identifier.doi | 10.3390/su142416370 | |
| dc.identifier.issn | 2071-1050 | |
| dc.identifier.issn | 2071-1050 | en_US |
| dc.identifier.scopus | 2-s2.0-85144917908 | |
| dc.identifier.uri | https://doi.org/10.3390/su142416370 | |
| dc.identifier.uri | https://hdl.handle.net/11147/12744 | |
| dc.language.iso | en | en_US |
| dc.publisher | MDPI | en_US |
| dc.relation.ispartof | Sustainability | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Determinants of well-being | en_US |
| dc.subject | Spatial panel models | en_US |
| dc.subject | Urban–rural typology | en_US |
| dc.subject | Well-being indicator | en_US |
| dc.title | Well-Being and Geography: Modelling Differences in Regional Well-Being Profiles in Case of Spatial Dependence—evidence From Turkey | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | 0000-0002-4122-9640 | |
| gdc.author.id | 0000-0002-4122-9640 | en_US |
| gdc.author.institutional | Elburz, Zeynep | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Institute of Technology. City and Regional Planning | en_US |
| gdc.description.issue | 24 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q2 | |
| gdc.description.volume | 14 | en_US |
| gdc.description.wosquality | Q2 | |
| gdc.identifier.openalex | W4311853201 | |
| gdc.identifier.wos | WOS:000904575400001 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.accesstype | GOLD | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 6.0 | |
| gdc.oaire.influence | 2.773386E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | well-being indicator | |
| gdc.oaire.keywords | determinants of well-being | |
| gdc.oaire.keywords | urban–rural typology | |
| gdc.oaire.keywords | spatial panel models | |
| gdc.oaire.keywords | urban–rural typology; well-being indicator; determinants of well-being; spatial panel models | |
| gdc.oaire.popularity | 5.0013163E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 1.98552158 | |
| gdc.openalex.normalizedpercentile | 0.83 | |
| gdc.opencitations.count | 5 | |
| gdc.plumx.crossrefcites | 7 | |
| gdc.plumx.mendeley | 24 | |
| gdc.plumx.scopuscites | 6 | |
| gdc.scopus.citedcount | 6 | |
| gdc.wos.citedcount | 5 | |
| relation.isAuthorOfPublication.latestForDiscovery | 5faa01cc-d66f-48ae-8495-6890aa84a825 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | e830b134-52be-4a86-b988-04016ee41664 |
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