Factors Influencing Indirect Carbon Emission of Residential Consumption in China: A Case of Liaoning Province

Yan Yan, Ancheng Pan, Chunyou Wu and Shusen Gui
Additional contact information
Yan Yan: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Ancheng Pan: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Chunyou Wu: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Shusen Gui: China Business Executives Academy at Dalian, Dalian 116086, China

Sustainability, 2019, vol. 11, issue 16, 1-22

Abstract: Indirect carbon emissions caused by residential consumption has gradually become the key to the formulation of carbon emission reduction policies. In order to analyze the factors that influence the provincial residential indirect carbon emissions in China, comprehensive structural decomposition analysis (SDA) and logarithmic mean Divisia index (LMDI) models are established in this paper. The Liaoning province was selected due to its typical features as a province with higher urbanization rates. The model is based on input–output tables from 2002 to 2012, including those pertaining to the carbon emission coefficient (?F), energy intensity effect (?E), intermediate demand (?L), commodity structure (?S), residential consumption structure (?U), residential consumption ratio (?R), per capita GDP (?A) and population size (?P). The results show that the consumption of urban residents is the most common and significant section causing the growth of direct and indirect carbon emissions, both of which show an obvious upward trend. Nonmetal mining is the sector experiencing the greatest growth in indirect carbon emissions. The two most influential factors of indirect carbon emissions via the consumption of rural and urban residents are the intermediate demand effect (?L) and the per capita GDP effect (?A), respectively. Reducing energy intensity and optimizing commodity structures are the most effective ways to reduce indirect carbon emissions.

Keywords: residential consumption; indirect carbon emission; SDA decomposition; LMDI decomposition (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/16/4414/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/16/4414/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:16:p:4414-:d:257830

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().