The environmental Kuznets curve for Turkish provinces: a spatial panel data approach.
Air pollution
Environmental Kuznets curve
Spatial econometrics
Turkey
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
received:
04
08
2021
accepted:
16
11
2021
pubmed:
30
11
2021
medline:
9
4
2022
entrez:
29
11
2021
Statut:
ppublish
Résumé
This paper aims to test the existence of the environmental Kuznets curve (EKC) hypothesis using SO2 measurements in Turkish provinces between 2004 and 2019. The existing studies concerning the EKC hypothesis for Turkey either use a country-level analysis or panel data techniques covering provincial data that do not account for the spatial dimension. To account for the spatial dependence and overcome the biases resulting from the existence of such spatial spillovers, this paper combines the traditional panel data methodology with the recent advances in spatial econometrics. Our findings confirm the presence of a non-linear link between regional economic prospects and environmental degradation. However, unlike the core expectations of the EKC hypothesis, our results demonstrate a U-shaped relationship between economic development and SO2 levels. Moreover, these findings are robust to the inclusion of a spatial battery which highlights the existence of regional spillovers. Overall, our results show that the post-2000 epoch calls for a different action plan to mitigate the rising impact of environmental degradation in Turkey.
Identifiants
pubmed: 34843050
doi: 10.1007/s11356-021-17706-w
pii: 10.1007/s11356-021-17706-w
pmc: PMC8986703
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
25519-25531Informations de copyright
© 2021. The Author(s).
Références
Environ Sci Pollut Res Int. 2018 Nov;25(32):32381-32394
pubmed: 30229495
Environ Sci Pollut Res Int. 2020 Oct;27(29):36254-36281
pubmed: 32556989
Environ Sci Pollut Res Int. 2018 Dec;25(36):36589-36603
pubmed: 30377957
Environ Sci Pollut Res Int. 2019 May;26(13):13390-13400
pubmed: 30905016
Environ Sci Pollut Res Int. 2020 Jun;27(16):19616-19629
pubmed: 32219652
Environ Sci Pollut Res Int. 2018 Feb;25(6):5848-5861
pubmed: 29235026
Environ Sci Pollut Res Int. 2016 Aug;23(16):16478-94
pubmed: 27164892
Sci Total Environ. 2020 Jun 25;723:138063
pubmed: 32217396
Sci Total Environ. 2019 Feb 10;650(Pt 2):2483-2489
pubmed: 30293003
Sci Total Environ. 2019 Feb 1;649:128-145
pubmed: 30172133
Environ Sci Pollut Res Int. 2018 May;25(15):15029-15035
pubmed: 29552719
Sci Total Environ. 2019 Jan 1;646:862-871
pubmed: 30064112
Environ Sci Pollut Res Int. 2019 Jul;26(20):20264-20276
pubmed: 31098905
Environ Sci Pollut Res Int. 2015 Oct;22(19):14891-900
pubmed: 25994273
Sci Total Environ. 2018 Apr 1;619-620:436-445
pubmed: 29156264
Environ Sci Pollut Res Int. 2020 Oct;27(30):38169-38180
pubmed: 32617821
Environ Sci Pollut Res Int. 2017 Jul;24(20):16690-16701
pubmed: 28560627
Environ Sci Pollut Res Int. 2018 Mar;25(8):7740-7747
pubmed: 29288303
Environ Sci Pollut Res Int. 2019 Jan;26(3):2699-2709
pubmed: 30484045
Sci Total Environ. 2017 Jan 1;574:1104-1116
pubmed: 27710903