Evidence map›Paper›PMID 34050509›Full record

ArticleEnvironmental science and pollution research international2021

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

Alshehri Abdulrahman Mohammed N, Geng Xianhui, Syed Ahsan Ali Shah

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Alshehri Abdulrahman Mohammed NCollege of Economics and Management, Nanjing Agricultural University, No. 1 Weigang, Nanjing, 210095, Jiangsu, People's Republic of China.
Geng XianhuiCollege of Economics and Management, Nanjing Agricultural University, No. 1 Weigang, Nanjing, 210095, Jiangsu, People's Republic of China. ngxh@njau.edu.cn.
Syed Ahsan Ali ShahSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of China. ahsan.shah1@hotmail.com.ORCID http://orcid.org/0000-0001-8488-3047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

CommerceFactor Analysis, StatisticalSaudi ArabiaEconomic diversificationFuzzy analysisMulti-criteria decision analysisNon-oil transitionSaudi Arabia

Identifiers

PMID34050509
PMCPMC8162493

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