Energy Consumption and Income in Chinese Provinces: Heterogeneous Panel Causality Analysis

gdc.relation.journal Applied Energy en_US
dc.contributor.author Akkemik, K. Ali
dc.contributor.author Göksal, Koray
dc.contributor.author Li, Jia
dc.contributor.other Economics
dc.contributor.other 03. Faculty of Economics, Administrative and Social Sciences
dc.contributor.other 01. Kadir Has University
dc.date.accessioned 2019-06-27T08:04:00Z
dc.date.available 2019-06-27T08:04:00Z
dc.date.issued 2012
dc.description.abstract Recently energy production in China fell behind energy consumption. This poses important challenges for the rapidly growing Chinese economy. As a consequence the causal relationship between energy consumption and GDP is an important empirical issue. This paper examines Granger causality between energy consumption and GDP in China using province-level data. The current paper extends the Granger causality analysis employed in previous studies by taking into account panel heterogeneity. Specifically four different causal relationships are examined: homogeneous non-causality (HNC) homogeneous causality (HC) heterogeneous non-causality (HENC) and heterogeneous causality (HEC). HC and HNC hypotheses are rejected for causality in either direction from GDP to energy or from energy to GDP which implies that the panel made up of Chinese provinces is not homogeneous. Then heterogeneous causality tests (HEC ad HENC) are conducted for each province. For the causality running from GDP to energy 19 provinces exhibit HEC and 11 provinces exhibit HENC. For the causality running from energy to GDP 14 provinces exhibit HEC and 16 provinces exhibit HENC. The results suggest that the Chinese government should incorporate a regional perspective while formulating and implementing energy policies. (C) 2012 Elsevier Ltd. All rights reserved. en_US]
dc.identifier.citationcount 24
dc.identifier.doi 10.1016/j.apenergy.2012.05.025 en_US
dc.identifier.issn 0306-2619 en_US
dc.identifier.issn 0306-2619
dc.identifier.scopus 2-s2.0-84864804318 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/877
dc.identifier.uri https://doi.org/10.1016/j.apenergy.2012.05.025
dc.language.iso en en_US
dc.publisher Elsevier Science en_US
dc.relation.ispartof Applied Energy
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Energy en_US
dc.subject China en_US
dc.subject Causality en_US
dc.subject Heterogeneous panel en_US
dc.title Energy Consumption and Income in Chinese Provinces: Heterogeneous Panel Causality Analysis en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Akkemik, K. Ali en_US
gdc.author.institutional Akkemik, Küçük Ali
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, İktisadi, İdari ve Sosyal Bilimler Fakültesi, Ekonomi Bölümü en_US
gdc.description.endpage 454
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 445 en_US
gdc.description.volume 99 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W2000907381
gdc.identifier.wos WOS:000308049400048 en_US
gdc.oaire.diamondjournal false
gdc.oaire.impulse 9.0
gdc.oaire.influence 4.5932453E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Causality
gdc.oaire.keywords China
gdc.oaire.keywords Energy
gdc.oaire.keywords Heterogeneous panel
gdc.oaire.popularity 1.1674394E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.fwci 5.702
gdc.openalex.normalizedpercentile 0.97
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 31
gdc.plumx.crossrefcites 32
gdc.plumx.mendeley 35
gdc.plumx.scopuscites 36
gdc.scopus.citedcount 36
gdc.wos.citedcount 28
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