TY - JOUR
T1 - A comparison of carbon dioxide (CO2) emission trends among provinces in China
AU - Du, Kerui
AU - Xie, Chunping
AU - Ouyang, Xiaoling
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017
Y1 - 2017
N2 - As the world leader in CO2emissions, China is a key focus for climate change mitigation. In this paper, we conducted a cross-province comparison of CO2emission trends in China from 2006 to 2012. We determined effects of CO2emission factor (EMF), energy mix change (EMX), potential energy intensity change (PEI), industrial structure (STR), economic activity (EAT), technological change (BPC) and energy efficiency change (EC) as underlying forces of CO2emission changes with production-based decomposition. Compared to other production-theory decomposition analyses (PDA), the method used in this paper can overcome the weakness of PDA on the measurement of structural changes and energy mix effect. The results provided strong evidence that EAT is the main driver behind rising emissions, while changes in PEI, EMX and EC have led to CO2emission reductions in most provinces/municipalities in China. In particular, we introduced the global benchmark technology to establish the relationship between CO2emissions and energy use technology. The potential CO2reductions in China were further measured under the scenarios of contemporaneous technology and global technology. The principal empirical implication is that the promotion of energy conservation technology and reductions in inter-regional technological disparity would be effective in reducing CO2emissions in technically inefficient regions.
AB - As the world leader in CO2emissions, China is a key focus for climate change mitigation. In this paper, we conducted a cross-province comparison of CO2emission trends in China from 2006 to 2012. We determined effects of CO2emission factor (EMF), energy mix change (EMX), potential energy intensity change (PEI), industrial structure (STR), economic activity (EAT), technological change (BPC) and energy efficiency change (EC) as underlying forces of CO2emission changes with production-based decomposition. Compared to other production-theory decomposition analyses (PDA), the method used in this paper can overcome the weakness of PDA on the measurement of structural changes and energy mix effect. The results provided strong evidence that EAT is the main driver behind rising emissions, while changes in PEI, EMX and EC have led to CO2emission reductions in most provinces/municipalities in China. In particular, we introduced the global benchmark technology to establish the relationship between CO2emissions and energy use technology. The potential CO2reductions in China were further measured under the scenarios of contemporaneous technology and global technology. The principal empirical implication is that the promotion of energy conservation technology and reductions in inter-regional technological disparity would be effective in reducing CO2emissions in technically inefficient regions.
KW - Data envelopment analysis
KW - Decomposition
KW - Production-theory decomposition analysis
KW - Shephard distance function
UR - https://www.scopus.com/pages/publications/85010366262
U2 - 10.1016/j.rser.2017.01.102
DO - 10.1016/j.rser.2017.01.102
M3 - 文献综述
AN - SCOPUS:85010366262
SN - 1364-0321
VL - 73
SP - 19
EP - 25
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
ER -