JOURNAL ARTICLE

Recent SDGs and ESG Implementation by Qatar.

  • Published In: Journal of Environmental Assessment Policy & Management, 2023, v. 25, n. 3. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Thaker, Hassanudin Mohd Thas; Sakti, Muhammad Rizky Prima; Qoyum, Abdul; Thaker, Mohamed Asmy Mohd Thas; Hosen, Mosharrof 3 of 3

Abstract

The gas-rich nation, Qatar, became the first Middle Eastern country to host the FIFA World Cup in 2022, after beating South Korea, Japan, Australia, and the US. Qatar invested an enormous amount of money in implementing the measures outlined by FIFA and United Nation's Sustainable Development Goals (SDGs), and the World Cup was included in Qatar's sustainable Vision 2030. Qatar has gained international support and wants to host more mega-events despite controversies surrounding its FIFA World Cup, including workers' deaths during infrastructure construction and protests from western athletes, politicians, and media against the Qatari government and FIFA's ban on LGBT+ symbols and alcohol in the stadium. Qatar's 2022 FIFA World Cup left a sustainable legacy by following ESG principles. This paper analysed how FIFA 2022 applies SDGs, ESG, and Islamic principles and their managerial implications. We concluded with lessons to be learnt from FIFA 2022 and Qatar's investments in green infrastructure, sustainable mobility, and carbon offsetting, as well as how the country's efforts to leave a sustainable legacy after the event could inspire other nations. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Environmental Assessment Policy & Management. 2023/09, Vol. 25, Issue 3, p1
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:1464-3332
  • DOI:10.1142/S1464333223500175
  • Accession Number:173113479
  • Copyright Statement:Copyright of Journal of Environmental Assessment Policy & Management is the property of World Scientific Publishing Company 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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