File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Interprovincial transfer of embodied primary energy in China: A complex network approach

TitleInterprovincial transfer of embodied primary energy in China: A complex network approach
Authors
KeywordsChina
Communities
Complex network theory
EEBT
Primary energy
Issue Date2018
Citation
Applied Energy, 2018, v. 215, p. 792-807 How to Cite?
AbstractThe energy supply–demand security and climate change has continued to be problematic, making it significant and necessary to investigate embodied energy flow, particularly in a large and fast-growing developing country like China. One of the effective approaches is the energy/emissions embodied in bilateral trade (EEBT) aiming to locate the destination of energy bi-directionally to evaluate how energy flow between producer and consumer sectors. However, in addition to the flow of energy and resources, the topological structure and impact of underlying components from a system science perspective are equally important for policy-making. This study therefore constructs an energy embodied in trade network (EETN) model to track multi-layer primary energy flow by integrating the EEBT approach and complex network analysis. The embodied coal, oil, natural gas, and non-fossil fuels associated with China's 30 provinces/municipalities are quantified at the provincial level. By the joint analysis of the network-oriented metrics, the EETN model elicits the possibility of understanding the heterogeneity distribution of different types of energy flow and the potential impact of province-specific policy interventions. We explain how resource endowment, economic growth, income inequality, cross-provincial industrial transfer, and infrastructures affect China's provincial energy embodiments as well as the clustering features. Other findings and policy recommendations are also presented.
Persistent Identifierhttp://hdl.handle.net/10722/333315
ISSN
2023 Impact Factor: 10.1
2023 SCImago Journal Rankings: 2.820
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGao, Cuixia-
dc.contributor.authorSu, Bin-
dc.contributor.authorSun, Mei-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorZhang, Zhonghua-
dc.date.accessioned2023-10-06T05:18:25Z-
dc.date.available2023-10-06T05:18:25Z-
dc.date.issued2018-
dc.identifier.citationApplied Energy, 2018, v. 215, p. 792-807-
dc.identifier.issn0306-2619-
dc.identifier.urihttp://hdl.handle.net/10722/333315-
dc.description.abstractThe energy supply–demand security and climate change has continued to be problematic, making it significant and necessary to investigate embodied energy flow, particularly in a large and fast-growing developing country like China. One of the effective approaches is the energy/emissions embodied in bilateral trade (EEBT) aiming to locate the destination of energy bi-directionally to evaluate how energy flow between producer and consumer sectors. However, in addition to the flow of energy and resources, the topological structure and impact of underlying components from a system science perspective are equally important for policy-making. This study therefore constructs an energy embodied in trade network (EETN) model to track multi-layer primary energy flow by integrating the EEBT approach and complex network analysis. The embodied coal, oil, natural gas, and non-fossil fuels associated with China's 30 provinces/municipalities are quantified at the provincial level. By the joint analysis of the network-oriented metrics, the EETN model elicits the possibility of understanding the heterogeneity distribution of different types of energy flow and the potential impact of province-specific policy interventions. We explain how resource endowment, economic growth, income inequality, cross-provincial industrial transfer, and infrastructures affect China's provincial energy embodiments as well as the clustering features. Other findings and policy recommendations are also presented.-
dc.languageeng-
dc.relation.ispartofApplied Energy-
dc.subjectChina-
dc.subjectCommunities-
dc.subjectComplex network theory-
dc.subjectEEBT-
dc.subjectPrimary energy-
dc.titleInterprovincial transfer of embodied primary energy in China: A complex network approach-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.apenergy.2018.02.075-
dc.identifier.scopuseid_2-s2.0-85042193148-
dc.identifier.volume215-
dc.identifier.spage792-
dc.identifier.epage807-
dc.identifier.isiWOS:000428974500063-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats