Heterogeneous links among urban concentration, non-renewable energy use intensity, economic development, and environmental emissions across regional development levels

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dc.authoridAli, Tausif/0000-0002-7516-8858
dc.authoridJabeen, Gul/0000-0001-6978-9212
dc.authoridAtchike, Desire Wade/0009-0003-2601-8903
dc.authoridAhmad, Munir/0000-0002-4376-8410
dc.authoridIsik, Cem/0000-0001-5125-7648
dc.contributor.authorAhmad, Munir
dc.contributor.authorIsik, Cem
dc.contributor.authorJabeen, Gul
dc.contributor.authorAli, Tausif
dc.contributor.authorOzturk, Ilhan
dc.contributor.authorAtchike, Desire Wade
dc.date.accessioned2025-03-07T20:12:55Z
dc.date.available2025-03-07T20:12:55Z
dc.date.issued2021
dc.departmentÇağ Üniversitesi
dc.description.abstractThis study examined the long-run and short-run heterogeneous links among urban concentration, nonrenewable energy use intensity, economic development, and environmental emissions index across the regional development levels of 31 Chinese provinces. By employing the augmented mean group method and Dumitrescu-Hurlin causality, the following results are drawn: Firstly, a bidirectional positive linkage was existent between the economic development and urban concentration in both the long-run and short-run across regional development levels. Secondly, a unidirectional positive linkage emerged from non-renewable energy use intensity to environmental emissions index, with the most influential effect in EER China (highest development level). Thirdly, bidirectional mixed linkages prevailed between economic development and non-renewable energy use intensity. Economic development mitigated the non-renewable energy use intensity (inverted U-shaped curve) in the national data set and EER China (highest development level); nevertheless, the linear linkage was observed in IER China (medium development level) and WER China (lowest development level). Fourthly, unidirectional mixed linkages were found from urban concentration to non-renewable energy use intensity and environmental emissions index. Urban concentration demonstrated a U-shaped linkage with non-renewable energy use intensity and environmental emissions index in the national data set and EER China. But it unveiled a linear linkage with both variables in IER China and WER China. Fifthly, economic development showed an environmental Kuznets curve with environmental emissions index in the national data set and EER China. Conversely, it showed a linear linkage with the environmental emissions index in IER China and WER China. In turn, the environmental emissions index linearly hampered the economic development in the national data set as well as regional samples. Finally, the long-run and short-run effects showed homogeneity of the linkages' nature; yet, the degree of effects in the long-run surpassed those in the short-run for all development levels. (C) 2020 Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.scitotenv.2020.144527
dc.identifier.issn0048-9697
dc.identifier.issn1879-1026
dc.identifier.pmid33412378
dc.identifier.scopus2-s2.0-85098941494
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2020.144527
dc.identifier.urihttps://hdl.handle.net/20.500.12507/2812
dc.identifier.volume765
dc.identifier.wosWOS:000616232300069
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofScience of The Total Environment
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20241226
dc.subjectUrban concentration
dc.subjectNon-renewable energy use intensity
dc.subjectEconomic development
dc.subjectEnvironmental emissions index
dc.subjectEnvironmental Kuznets Curve
dc.subjectChinese economy
dc.titleHeterogeneous links among urban concentration, non-renewable energy use intensity, economic development, and environmental emissions across regional development levels
dc.typeArticle

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