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- Publisher Website: 10.1016/j.apenergy.2018.02.075
- Scopus: eid_2-s2.0-85042193148
- WOS: WOS:000428974500063
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Article: Interprovincial transfer of embodied primary energy in China: A complex network approach
Title | Interprovincial transfer of embodied primary energy in China: A complex network approach |
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Authors | |
Keywords | China Communities Complex network theory EEBT Primary energy |
Issue Date | 2018 |
Citation | Applied Energy, 2018, v. 215, p. 792-807 How to Cite? |
Abstract | The 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 Identifier | http://hdl.handle.net/10722/333315 |
ISSN | 2023 Impact Factor: 10.1 2023 SCImago Journal Rankings: 2.820 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Gao, Cuixia | - |
dc.contributor.author | Su, Bin | - |
dc.contributor.author | Sun, Mei | - |
dc.contributor.author | Zhang, Xiaoling | - |
dc.contributor.author | Zhang, Zhonghua | - |
dc.date.accessioned | 2023-10-06T05:18:25Z | - |
dc.date.available | 2023-10-06T05:18:25Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Applied Energy, 2018, v. 215, p. 792-807 | - |
dc.identifier.issn | 0306-2619 | - |
dc.identifier.uri | http://hdl.handle.net/10722/333315 | - |
dc.description.abstract | The 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.language | eng | - |
dc.relation.ispartof | Applied Energy | - |
dc.subject | China | - |
dc.subject | Communities | - |
dc.subject | Complex network theory | - |
dc.subject | EEBT | - |
dc.subject | Primary energy | - |
dc.title | Interprovincial transfer of embodied primary energy in China: A complex network approach | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.apenergy.2018.02.075 | - |
dc.identifier.scopus | eid_2-s2.0-85042193148 | - |
dc.identifier.volume | 215 | - |
dc.identifier.spage | 792 | - |
dc.identifier.epage | 807 | - |
dc.identifier.isi | WOS:000428974500063 | - |