LAPSE:2018.0764
Published Article
LAPSE:2018.0764
Decomposing Industrial Energy-Related CO₂ Emissions in Yunnan Province, China: Switching to Low-Carbon Economic Growth
Mingxiang Deng, Wei Li, Yan Hu
October 23, 2018
As a less-developed province that has been chosen to be part of a low-carbon pilot project, Yunnan faces the challenge of maintaining rapid economic growth while reducing CO₂ emissions. Understanding the drivers behind CO₂ emission changes can help decouple economic growth from CO₂ emissions. However, previous studies on the drivers of CO₂ emissions in less-developed regions that focus on both production and final demand have been seldom conducted. In this study, a structural decomposition analysis-logarithmic mean Divisia index (SDA-LMDI) model was developed to find the drivers behind the CO₂ emission changes during 1997⁻2012 in Yunnan, based on times series energy consumption and input-output data. The results demonstrated that the sharp rise in exports of high-carbon products from the metal processing and electricity sectors increased CO₂ emissions, during 2002⁻2007. Although increased investments in the construction sector also increased CO₂ emissions, during 2007⁻2012, the carbon intensity of Yunnan’s economy decreased substantially because the province vigorously developed hydropower and improved energy efficiency in energy-intensive sectors. Construction investments not only carbonized the GDP composition, but also formed a carbon-intensive production structure because of high-carbon supply chains. To further mitigate CO₂ emissions in Yunnan, measures should promote the development and application of clean energy and the formation of consumption-based economic growth.
Keywords
CO2 emissions, drivers, less-developed regions, low-carbon pilot, structural decomposition analysis, Yunnan province
Suggested Citation
Deng M, Li W, Hu Y. Decomposing Industrial Energy-Related CO₂ Emissions in Yunnan Province, China: Switching to Low-Carbon Economic Growth. (2018). LAPSE:2018.0764
Author Affiliations
Deng M: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China [ORCID]
Li W: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
Hu Y: State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
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Journal Name
Energies
Volume
9
Issue
1
Article Number
E23
Year
2016
Publication Date
2016-01-04
Published Version
ISSN
1996-1073
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PII: en9010023, Publication Type: Journal Article
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doi:10.3390/en9010023
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Oct 23, 2018
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Oct 23, 2018
 
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Calvin Tsay
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