TY - JOUR
T1 - Interprovincial transfer of embodied primary energy in China
T2 - A complex network approach
AU - Gao, Cuixia
AU - Su, Bin
AU - Sun, Mei
AU - Zhang, Xiaoling
AU - Zhang, Zhonghua
PY - 2018/4/1
Y1 - 2018/4/1
N2 - 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.
AB - 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.
KW - China
KW - Communities
KW - Complex network theory
KW - EEBT
KW - Primary energy
UR - http://www.scopus.com/inward/record.url?scp=85042193148&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85042193148&origin=recordpage
U2 - 10.1016/j.apenergy.2018.02.075
DO - 10.1016/j.apenergy.2018.02.075
M3 - RGC 21 - Publication in refereed journal
SN - 0306-2619
VL - 215
SP - 792
EP - 807
JO - Applied Energy
JF - Applied Energy
ER -