Publication Type
Journal Article
Version
acceptedVersion
Publication Date
9-2015
Abstract
The aim of this article is to empirically identify convergence clubs in energy intensity among 109 countries from 1971 to 2010 by using a recently developed methodology, i.e., a new regression-based convergence test, introduced by Phillips and Sul (2007). This log t test allows us to endogenously identify the groups of countries that converge to different equilibriums and those that do not converge to any convergence clubs. We mainly find that, first, world countries do not seem to converge at the same steady-state level; instead, they form four separate clubs converging to their own steady-state paths and few countries are found to converge to no group at all. In addition, although the world as a whole shows the evidence of convergence, economic and geographic groups seem to converge at different speeds. Last, estimates from an ordered-logit model reveal that initial energy intensity level and openness are mainly responsible for the formation of the world convergence clubs, whereas industry share and R&D share are not.
Keywords
energy intensity, club convergence, log t regression test, nonlinear time-varying factor model
Discipline
Economics | Energy Policy
Research Areas
Applied Microeconomics
Publication
Applied Economics Letters
Volume
22
Issue
14
First Page
1158
Last Page
1169
ISSN
1350-4851
Identifier
10.1080/13504851.2015.1013603
Publisher
Taylor & Francis (Routledge): SSH Titles
Citation
YU, Yihua; ZHANG, Yonghui; and SONG, Feng.
World energy intensity revisited: A cluster analysis. (2015). Applied Economics Letters. 22, (14), 1158-1169.
Available at: https://ink.library.smu.edu.sg/soe_research/1877
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/13504851.2015.1013603