Energy-related GHG Emissions for Inland and Municipal Economy in Chongqing: Factor Dynamics and Structure Decomposition

Yi Hu; Zhifeng Yin; Jian Ma; Wencui Du; Danhe Liu; Luxi Sun

doi:10.1016/j.egypro.2016.12.028

Energy-related GHG Emissions for Inland and Municipal Economy in Chongqing: Factor Dynamics and Structure Decomposition

Yi Hu, Zhifeng Yin, Jian Ma, Wencui Du, Danhe Liu, Luxi Sun^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

As the largest and most populous city in China, Chongqing has a unique municipal economy structure and challenges in GHG emissions abetment that are greater than those of other cities. This paper quantifies sources of emissions growth in Chongqing using an IO-SDA framework. The twelve components studies are classified into three categories: change in intensities, production linkages, and final demand. The results show that the crucial factor of GHG emissions reduction is change of intensities, and the main cause of emissions growth is expansion of final demand.

Original language	English
Pages (from-to)	159-164
Number of pages	6
Journal	Energy Procedia
Volume	104
DOIs	https://doi.org/10.1016/j.egypro.2016.12.028
Publication status	Published - 2016
Event	Applied Energy Symposium and Forum: Low - Carbon Cities and Urban Energy Systems, CUE 2016 - Jinan, China Duration: 13 Jun 2016 → 15 Jun 2016

Keywords

GHG emissions
input-output analysis
structure decomposition analysis

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10.1016/j.egypro.2016.12.028

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@article{b0669bfe3ebe4720aa9069938d30683b,

title = "Energy-related GHG Emissions for Inland and Municipal Economy in Chongqing: Factor Dynamics and Structure Decomposition",

abstract = "As the largest and most populous city in China, Chongqing has a unique municipal economy structure and challenges in GHG emissions abetment that are greater than those of other cities. This paper quantifies sources of emissions growth in Chongqing using an IO-SDA framework. The twelve components studies are classified into three categories: change in intensities, production linkages, and final demand. The results show that the crucial factor of GHG emissions reduction is change of intensities, and the main cause of emissions growth is expansion of final demand.",

keywords = "GHG emissions, input-output analysis, structure decomposition analysis",

author = "Yi Hu and Zhifeng Yin and Jian Ma and Wencui Du and Danhe Liu and Luxi Sun",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors. Published by Elsevier Ltd.; Applied Energy Symposium and Forum: Low - Carbon Cities and Urban Energy Systems, CUE 2016 ; Conference date: 13-06-2016 Through 15-06-2016",

year = "2016",

doi = "10.1016/j.egypro.2016.12.028",

language = "English",

volume = "104",

pages = "159--164",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd.",

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TY - JOUR

T1 - Energy-related GHG Emissions for Inland and Municipal Economy in Chongqing

T2 - Applied Energy Symposium and Forum: Low - Carbon Cities and Urban Energy Systems, CUE 2016

AU - Hu, Yi

AU - Yin, Zhifeng

AU - Ma, Jian

AU - Du, Wencui

AU - Liu, Danhe

AU - Sun, Luxi

PY - 2016

Y1 - 2016

N2 - As the largest and most populous city in China, Chongqing has a unique municipal economy structure and challenges in GHG emissions abetment that are greater than those of other cities. This paper quantifies sources of emissions growth in Chongqing using an IO-SDA framework. The twelve components studies are classified into three categories: change in intensities, production linkages, and final demand. The results show that the crucial factor of GHG emissions reduction is change of intensities, and the main cause of emissions growth is expansion of final demand.

AB - As the largest and most populous city in China, Chongqing has a unique municipal economy structure and challenges in GHG emissions abetment that are greater than those of other cities. This paper quantifies sources of emissions growth in Chongqing using an IO-SDA framework. The twelve components studies are classified into three categories: change in intensities, production linkages, and final demand. The results show that the crucial factor of GHG emissions reduction is change of intensities, and the main cause of emissions growth is expansion of final demand.

KW - GHG emissions

KW - input-output analysis

KW - structure decomposition analysis

UR - http://www.scopus.com/inward/record.url?scp=85013073495&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2016.12.028

DO - 10.1016/j.egypro.2016.12.028

M3 - Conference article

AN - SCOPUS:85013073495

SN - 1876-6102

VL - 104

SP - 159

EP - 164

JO - Energy Procedia

JF - Energy Procedia

Y2 - 13 June 2016 through 15 June 2016

ER -

Energy-related GHG Emissions for Inland and Municipal Economy in Chongqing: Factor Dynamics and Structure Decomposition

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Keywords

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