Empowering sustainable future in OECD economies: Aligning humanitarian aid with energy generation

IF 12.9 1区 管理学 Q1 BUSINESS
Yunpeng Sun , Shreya Pal , Mantu Kumar Mahalik , Giray Gozgor
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引用次数: 0

Abstract

This paper examines the influence of humanitarian aid, economic growth, human development index), and foreign direct investment on electricity generation in 37 OECD (Organisation for Economic Co-operation and Development) countries from 1995 to 2022. This study, based on the application of the Cross-Sectional Augmented Autoregressive Distributed Lag (CS-ARDL) model, finds that humanitarian aid, economic growth, and human development index promote electricity generation in the long term. The study also finds that foreign direct investment significantly reduces electricity generation. The OECD countries and aid organisations should design programmes to foster clean energy infrastructure and align with Sustainable Development Goals for a more sustainable global energy landscape.
为经合组织经济体的可持续未来赋能:使人道主义援助与能源生产相结合
本文考察了1995年至2022年37个经合组织(经济合作与发展组织)国家的人道主义援助、经济增长、人类发展指数和外国直接投资对发电的影响。本研究基于横断面增强自回归分布滞后(CS-ARDL)模型的应用,发现人道主义援助、经济增长和人类发展指数在长期内促进了发电。该研究还发现,外国直接投资显著减少了发电量。经合组织国家和援助组织应设计项目,促进清洁能源基础设施建设,并与可持续发展目标保持一致,以实现更可持续的全球能源格局。
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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.
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