World energy intensity revisited: A cluster analysis

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 id...

Full description

Saved in:
Bibliographic Details
Main Authors: YU, Yihua, ZHANG, Yonghui, SONG, Feng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/1877
https://ink.library.smu.edu.sg/context/soe_research/article/2877/viewcontent/worldenergy_afv.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.soe_research-2877
record_format dspace
spelling sg-smu-ink.soe_research-28772018-12-26T03:28:49Z World energy intensity revisited: A cluster analysis YU, Yihua ZHANG, Yonghui SONG, Feng 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. 2015-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1877 info:doi/10.1080/13504851.2015.1013603 https://ink.library.smu.edu.sg/context/soe_research/article/2877/viewcontent/worldenergy_afv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University energy intensity club convergence log t regression test nonlinear time-varying factor model Economics Energy Policy
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic energy intensity
club convergence
log t regression test
nonlinear time-varying factor model
Economics
Energy Policy
spellingShingle energy intensity
club convergence
log t regression test
nonlinear time-varying factor model
Economics
Energy Policy
YU, Yihua
ZHANG, Yonghui
SONG, Feng
World energy intensity revisited: A cluster analysis
description 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.
format text
author YU, Yihua
ZHANG, Yonghui
SONG, Feng
author_facet YU, Yihua
ZHANG, Yonghui
SONG, Feng
author_sort YU, Yihua
title World energy intensity revisited: A cluster analysis
title_short World energy intensity revisited: A cluster analysis
title_full World energy intensity revisited: A cluster analysis
title_fullStr World energy intensity revisited: A cluster analysis
title_full_unstemmed World energy intensity revisited: A cluster analysis
title_sort world energy intensity revisited: a cluster analysis
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/soe_research/1877
https://ink.library.smu.edu.sg/context/soe_research/article/2877/viewcontent/worldenergy_afv.pdf
_version_ 1770573058489188352