A comparison of carbon dioxide (CO2) emission trends among provinces in China

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A comparison of carbon dioxide (CO2) emission trends among provinces in China. / Du, Kerui; Xie, Chunping; Ouyang, Xiaoling.

In: Renewable and Sustainable Energy Reviews, Vol. 73, 24.01.2017, p. 19-25.

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@article{b436d10880104d2185bdd091e9a892b4,
title = "A comparison of carbon dioxide (CO2) emission trends among provinces in China",
abstract = "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.",
keywords = "Data envelopment analysis, Decomposition, Production-theory decomposition analysis, Shephard distance function",
author = "Kerui Du and Chunping Xie and Xiaoling Ouyang",
year = "2017",
month = jan,
day = "24",
doi = "10.1016/j.rser.2017.01.102",
language = "English",
volume = "73",
pages = "19--25",
journal = "Renewable and Sustainable Energy Reviews",
issn = "1364-0321",
publisher = "Elsevier Korea",

}

RIS

TY - JOUR

T1 - A comparison of carbon dioxide (CO2) emission trends among provinces in China

AU - Du, Kerui

AU - Xie, Chunping

AU - Ouyang, Xiaoling

PY - 2017/1/24

Y1 - 2017/1/24

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 - http://www.scopus.com/inward/record.url?scp=85010366262&partnerID=8YFLogxK

U2 - 10.1016/j.rser.2017.01.102

DO - 10.1016/j.rser.2017.01.102

M3 - Review article

AN - SCOPUS:85010366262

VL - 73

SP - 19

EP - 25

JO - Renewable and Sustainable Energy Reviews

JF - Renewable and Sustainable Energy Reviews

SN - 1364-0321

ER -