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Exploring the N‐shaped EKC in the top tourist destinations. Empirical evidence from cross‐country analysis.

  • Published In: International Social Science Journal, 2023, v. 73, n. 248. P. 479 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Faisal, Faisal; Rahman, Sami Ur; Khan, Awais; Ali, Adnan; Irshaid, Mahmoud Abdelkarim; Amin, Muhammad Yusuf 3 of 3

Abstract

Tourism, energy consumption, economic growth, and financial development (FD) have serious consequences on environmental quality, which have gained attention of researchers. This research study attempts to highlight the impact of these variables on carbon dioxide (CO2) emissions in the Asian top‐four tourism countries, namely, Thailand, Singapore, Malaysia and Hong Kong. To achieve these objectives, the study applied Fully Modified Ordinary Least Squares (FMOLS) econometric technique to estimate the long‐run relationship, using annual data. Moreover, the study also applied the Dumitrescu–Hurlin panel causality test to identify the direction of the causality. The findings of the study show that energy consumption and trade openness have a negative impact on CO2 emissions. Moreover, tourism and FDI affect carbon emissions positively. Moreover, the study also validated the N‐shaped environmental Kuznets curve in these countries, indicating that economic growth positively influences carbon emissions in the early stages. However, in the middle stage, economic growth positively affects CO2 emissions, while in the later stage, it affects positively. Further, a unidirectional causality has been found from trade, economic growth and tourist arrivals to FD. Furthermore, based on empirical findings, the study suggests various policy implications for the government of the top‐four Asian tourist countries. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Social Science Journal. 2023/06, Vol. 73, Issue 248, p479
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2023
  • ISSN:0020-8701
  • DOI:10.1111/issj.12397
  • Accession Number:164480864
  • Copyright Statement:Copyright of International Social Science Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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