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Tourism adaptability amid the climate change and air pollution in BRICS: a method of moments quantile regression approach.

Shah, MI ; Khan, Z ; et al.
In: Environmental science and pollution research international, Jg. 29 (2022-12-01), Heft 57, S. 86744-86758
Online academicJournal

Titel:
Tourism adaptability amid the climate change and air pollution in BRICS: a method of moments quantile regression approach.
Autor/in / Beteiligte Person: Shah, MI ; Khan, Z ; Moise, ML ; Abbas, S
Link:
Zeitschrift: Environmental science and pollution research international, Jg. 29 (2022-12-01), Heft 57, S. 86744-86758
Veröffentlichung: <2013->: Berlin : Springer ; <i>Original Publication</i>: Landsberg, Germany : Ecomed, 2022
Medientyp: academicJournal
ISSN: 1614-7499 (electronic)
DOI: 10.1007/s11356-022-21725-6
Schlagwort:
  • Humans
  • Climate Change
  • Carbon Dioxide analysis
  • Tourism
  • China
  • South Africa
  • Brazil
  • India
  • Russia
  • Economic Development
  • Air Pollution
Sonstiges:
  • Nachgewiesen in: MEDLINE
  • Sprachen: English
  • Publication Type: Journal Article
  • Language: English
  • [Environ Sci Pollut Res Int] 2022 Dec; Vol. 29 (57), pp. 86744-86758. <i>Date of Electronic Publication: </i>2022 Jul 07.
  • MeSH Terms: Economic Development* ; Air Pollution* ; Humans ; Climate Change ; Carbon Dioxide / analysis ; Tourism ; China ; South Africa ; Brazil ; India ; Russia
  • Comments: Erratum in: Environ Sci Pollut Res Int. 2023 Feb;30(8):22138. (PMID: 36648733)
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  • Contributed Indexing: Keywords: Air pollution; BRICS; Climate change; ICT; Method of moments quantile regression; Porter hypothesis; Tourism
  • Substance Nomenclature: 142M471B3J (Carbon Dioxide)
  • Entry Date(s): Date Created: 20220706 Date Completed: 20221121 Latest Revision: 20230117
  • Update Code: 20231215

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