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Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment

In this study, an analysis of Saudi Arabia’s economic diversification, particularly non-oil transition, is conducted. Initially, key success factors and sub-factors that provide basis for the analysis are identified through literature survey. Three key factors (economic, labor, and market), twenty-o...

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Autores principales: Mohammed N., Alshehri Abdulrahman, Xianhui, Geng, Shah, Syed Ahsan Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162493/
https://www.ncbi.nlm.nih.gov/pubmed/34050509
http://dx.doi.org/10.1007/s11356-021-14304-8
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author Mohammed N., Alshehri Abdulrahman
Xianhui, Geng
Shah, Syed Ahsan Ali
author_facet Mohammed N., Alshehri Abdulrahman
Xianhui, Geng
Shah, Syed Ahsan Ali
author_sort Mohammed N., Alshehri Abdulrahman
collection PubMed
description In this study, an analysis of Saudi Arabia’s economic diversification, particularly non-oil transition, is conducted. Initially, key success factors and sub-factors that provide basis for the analysis are identified through literature survey. Three key factors (economic, labor, and market), twenty-one sub-factors (seven under each factor) are identified. To obtain the relative importance of factors and sub-factors, fuzzy analytical hierarchy process (FAHP) has been used. The economic criterion obtained the highest weight followed respectively by fiscal and labor criteria. The “proportion of Saudis in the workforce” sub-criterion received the highest weight under labor criterion, the “investment-intensive business models” sub-criterion obtained the highest weight under economic criterion, and the “increase non-oil revenue” sub-criterion got the highest weight under fiscal criterion. Overall, increase non-oil revenue sub-criterion (under fiscal criterion) received the highest weight. Later, eight major non-oil sectors are prioritized with respect to criteria and sub-criteria using fuzzy technique for order preference by similarity to the ideal solution. Petrochemicals sector ranked topped in the contribution to achieving non-oil transition. The findings of the study shall enable the government and policymakers to specifically design policies for respective sectors knowing their importance in the transition and subsequently bring a new cycle of prosperity to the Kingdom of Saudi Arabia.
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spelling pubmed-81624932021-05-28 Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment Mohammed N., Alshehri Abdulrahman Xianhui, Geng Shah, Syed Ahsan Ali Environ Sci Pollut Res Int Research Article In this study, an analysis of Saudi Arabia’s economic diversification, particularly non-oil transition, is conducted. Initially, key success factors and sub-factors that provide basis for the analysis are identified through literature survey. Three key factors (economic, labor, and market), twenty-one sub-factors (seven under each factor) are identified. To obtain the relative importance of factors and sub-factors, fuzzy analytical hierarchy process (FAHP) has been used. The economic criterion obtained the highest weight followed respectively by fiscal and labor criteria. The “proportion of Saudis in the workforce” sub-criterion received the highest weight under labor criterion, the “investment-intensive business models” sub-criterion obtained the highest weight under economic criterion, and the “increase non-oil revenue” sub-criterion got the highest weight under fiscal criterion. Overall, increase non-oil revenue sub-criterion (under fiscal criterion) received the highest weight. Later, eight major non-oil sectors are prioritized with respect to criteria and sub-criteria using fuzzy technique for order preference by similarity to the ideal solution. Petrochemicals sector ranked topped in the contribution to achieving non-oil transition. The findings of the study shall enable the government and policymakers to specifically design policies for respective sectors knowing their importance in the transition and subsequently bring a new cycle of prosperity to the Kingdom of Saudi Arabia. Springer Berlin Heidelberg 2021-05-28 2021 /pmc/articles/PMC8162493/ /pubmed/34050509 http://dx.doi.org/10.1007/s11356-021-14304-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Mohammed N., Alshehri Abdulrahman
Xianhui, Geng
Shah, Syed Ahsan Ali
Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment
title Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment
title_full Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment
title_fullStr Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment
title_full_unstemmed Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment
title_short Non-oil economic transition for economic and environmental sustainability in Saudi Arabia: a multi-factor analysis under fuzzy environment
title_sort non-oil economic transition for economic and environmental sustainability in saudi arabia: a multi-factor analysis under fuzzy environment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162493/
https://www.ncbi.nlm.nih.gov/pubmed/34050509
http://dx.doi.org/10.1007/s11356-021-14304-8
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