Mapping Saudi Arabia's low emissions transition path by 2060: An input-output analysis

IF 12.9 1区 管理学 Q1 BUSINESS
Mohammed Alyousef , Fateh Belaid , Norah Almubarak , Tarifa Almulhim
{"title":"Mapping Saudi Arabia's low emissions transition path by 2060: An input-output analysis","authors":"Mohammed Alyousef ,&nbsp;Fateh Belaid ,&nbsp;Norah Almubarak ,&nbsp;Tarifa Almulhim","doi":"10.1016/j.techfore.2024.123920","DOIUrl":null,"url":null,"abstract":"<div><div>This study analyzes Saudi Arabia's strategy to reduce emissions by 2060, as outlined in the Saudi Green Initiative framework (SGI). Using a two-stage Leontief input-output model, we analyze economic criteria for meeting the low emissions target and identify potential green project financing sources. The analysis focuses on Saudi Vision 2030's economic diversification initiatives and the transition to a net-zero carbon economy. We provide new estimates of key economic variables, including non-oil GDP, labor market size, and economic diversification metrics. The study quantifies financial needs for green projects, estimates the expected financial gap, and proposes suitable green financial instruments. Findings highlight the necessity of green bonds, projecting their market share to reach 15 % by 2030 and 30 % by 2060, representing approximately $14 billion and $39 billion, respectively. The study anticipates an annual GDP growth of 2.6 % until 2030 and 2 % until 2060, with over 23 million new jobs created. This research contributes a comprehensive framework for Saudi Arabia's economic transformation, emphasizing the critical role of green investments in driving sustainable development. Our findings offer insights for policymakers and stakeholders shaping Saudi Arabia's sustainable future and provide a model for other resource-dependent economies transitioning to low-carbon systems.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"211 ","pages":"Article 123920"},"PeriodicalIF":12.9000,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162524007182","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

This study analyzes Saudi Arabia's strategy to reduce emissions by 2060, as outlined in the Saudi Green Initiative framework (SGI). Using a two-stage Leontief input-output model, we analyze economic criteria for meeting the low emissions target and identify potential green project financing sources. The analysis focuses on Saudi Vision 2030's economic diversification initiatives and the transition to a net-zero carbon economy. We provide new estimates of key economic variables, including non-oil GDP, labor market size, and economic diversification metrics. The study quantifies financial needs for green projects, estimates the expected financial gap, and proposes suitable green financial instruments. Findings highlight the necessity of green bonds, projecting their market share to reach 15 % by 2030 and 30 % by 2060, representing approximately $14 billion and $39 billion, respectively. The study anticipates an annual GDP growth of 2.6 % until 2030 and 2 % until 2060, with over 23 million new jobs created. This research contributes a comprehensive framework for Saudi Arabia's economic transformation, emphasizing the critical role of green investments in driving sustainable development. Our findings offer insights for policymakers and stakeholders shaping Saudi Arabia's sustainable future and provide a model for other resource-dependent economies transitioning to low-carbon systems.
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信