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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy & Environmentarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy & Environment
Article . 2023 . Peer-reviewed
License: SAGE TDM
Data sources: Crossref
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Cross-sectional dependence in financial openness and its influence on renewable energy consumption in Asia

Authors: Lei Wang; Muhammad Hafeez; Sana Ullah; Izzet Ulvi Yonter;

Cross-sectional dependence in financial openness and its influence on renewable energy consumption in Asia

Abstract

Renewable energy is known for its lower environmental impact compared to conventional fossil fuels. The integration of financial openness plays a pivotal role in driving renewable energy consumption. The existing literature has predominantly overlooked the nonlinear impact of financial openness on renewable energy consumption. This study examines the nonlinear impact of financial openness on renewable energy consumption across different regions in Asia, such as Central Asia, East Asia, South Asia, Southeast Asia, and West Asia, by employing linear and nonlinear cross-sectionally augmented autoregressive distributed lag techniques. The findings of the linear analysis confirm that financial openness favorably impacted renewable energy consumption in the long run in all regions. On the other side, the nonlinear analysis highlights that an increase in financial openness promotes renewable energy consumption in all regions except West Asia. In contrast, the fall in financial openness hurt renewable energy consumption in Asia, Central Asia, and West Asia. Greenhouse gas emissions and GDP promote renewable energy consumption in almost all regions in both linear and nonlinear analysis, and ICT and trade help the consumption of renewable energy to rise in some regions. Policymakers in Asia and its subregions should focus on increasing the collaboration between the financial sectors of the Asian economies and increasing the flow of funds to renewable energy sources in Asia.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%