Powered by OpenAIRE graph
Found an issue? Give us feedback
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 World Economyarrow_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
World Economy
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Exploring the driving mechanism and the evolution of the low‐carbon economy transition: Lessons from OECD developed countries

Authors: Bolin Yu; Debin Fang; Andrew N. Kleit; Kun Xiao;

Exploring the driving mechanism and the evolution of the low‐carbon economy transition: Lessons from OECD developed countries

Abstract

AbstractThe low‐carbon transition involves achieving the coordinated development between economic development and carbon reduction. This paper utilises an integrated decomposition and econometric framework to reveal the influence mechanism and convergence evolution of carbon emission intensity (CEI) across 29 OECD countries in the period 1992–2018. The country‐level low‐carbon transition efforts are then investigated. The results imply that: (1) The reduction in CEI is primarily attributed to the changes in economic development and energy intensity. The carbon emission coefficient effect also negatively influences CEI. The impact of energy consumption per capita, however, is negligible. (2) According to econometric analysis, energy intensity, energy mix, carbon emissions per capita and energy use per capita have positive impacts on CEI. Specially, GDP per capita shows an inverted U‐shaped curve relationship with CEI. (3) There is evidence of convergence in CEI across developed countries. Energy intensity plays a crucial role in accelerating the CEI convergence process, implying a half‐life of 3 years. (4) Fifteen European countries have made strong low‐carbon transition efforts among all countries. Denmark has made the largest efforts, South Korea the least. This study provides important implications for low‐carbon economy transition.

Related Organizations
  • 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).
    41
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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!
41
Top 10%
Top 10%
Top 1%