TY - JOUR
T1 - Sources of China’s fossil energy-use change
AU - Han, Yawen
AU - Kagawa, Shigemi
AU - Nagashima, Fumiya
AU - Nansai, Keisuke
N1 - Funding Information:
This research was funded by the Grant-in-Aid for Grant-in-Aid for Scientific Research (A) [16H01797]. We are grateful to the two anonymous referees for their helpful comments and suggestions. We also sincerely appreciate the support from the China Scholarship Council. All errors are our own.
Publisher Copyright:
© 2019 by the authors.
PY - 2019/2/21
Y1 - 2019/2/21
N2 - Technology improvement related to energy conservation and energy mix low-carbonization is a critical approach for tackling global warming in China. Therefore, we attempt to identify the technology factors of China’s energy consumption change between 2007 and 2012, when China’s economy started slowing. This study proposes a new refined structural decomposition analysis (SDA) based on a hybrid multi-regional input–output (MRIO) model. The technology factors are expressed through the energy input level effect, energy composition effect, and non-energy input effect. We find that the energy level effect was the primary driver for energy reduction, saving 1205 million tonnes of standard coal equivalent (Mtce) of energy, while 520 Mtce was offset by energy composition and non-energy input effects. The sector analysis shows that the energy input level, energy composition, and non-energy input effects of electricity, the chemical industry, and metallurgy are noteworthy. In addition, the sector contribution to energy-use change, by province, related to the three effects, is also studied. From these results, we propose policy suggestions for further energy saving, in order to achieve China’s energy target through technology improvements by the higher priority contributors identified.
AB - Technology improvement related to energy conservation and energy mix low-carbonization is a critical approach for tackling global warming in China. Therefore, we attempt to identify the technology factors of China’s energy consumption change between 2007 and 2012, when China’s economy started slowing. This study proposes a new refined structural decomposition analysis (SDA) based on a hybrid multi-regional input–output (MRIO) model. The technology factors are expressed through the energy input level effect, energy composition effect, and non-energy input effect. We find that the energy level effect was the primary driver for energy reduction, saving 1205 million tonnes of standard coal equivalent (Mtce) of energy, while 520 Mtce was offset by energy composition and non-energy input effects. The sector analysis shows that the energy input level, energy composition, and non-energy input effects of electricity, the chemical industry, and metallurgy are noteworthy. In addition, the sector contribution to energy-use change, by province, related to the three effects, is also studied. From these results, we propose policy suggestions for further energy saving, in order to achieve China’s energy target through technology improvements by the higher priority contributors identified.
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U2 - 10.3390/en12040699
DO - 10.3390/en12040699
M3 - Article
AN - SCOPUS:85061965334
SN - 1996-1073
VL - 12
JO - Energies
JF - Energies
IS - 4
M1 - 699
ER -
