Structural decomposition analysis of energy-related CO2 emissions in China from 1997 to 2010

Vietnam’s rapid economic growth has resulted in serious environmental concerns both at local and global scales. In-depth understanding of the key factors behind the rapid growth of CO2 emissions is of great significance in the development of local and global climate policies. Furthermore, this provides insight into how emerging economies can develop a low emission future. Recent works have demonstrated the effectiveness of the input–output model and structural decomposition analysis in analyzing how changes in different socio-economic factors affect energy-based CO2 emissions in the sectoral level using production and consumption-based perspectives. In the context of Vietnam’s economy, such aspects have not been fully explored in previous literature. This study thus analyzes the driving forces responsible for the increase in CO2 emissions in Vietnam from both production and consumption perspective during periods 2000 – 2007 and 2007 - 2011. The results using the production perspective indicate that during 2000 - 2011 the incremental change in CO2 emissions in Vietnam is driven mainly by the consumption structure (100.5%) and consumption volume (219.4%) which are offset by the decline in technology (-132.7%) and production structure (-22.5%). Population (24.1%) had a small effect on total CO2 emissions. Results using the consumption perspective show that even with large variations between the two periods, household, export and investment are the main drivers responsible for the sharp increase in CO2 emissions. This is offset by the decrease in import factor. Policy implications indicate that improving technology, adjusting production and consumption structure, and optimizing international trade are important factors for alleviating CO2 emissions in Vietnam.

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Drivers of CO2 emissions from power generation in China based on modified structural decomposition analysis

Journal of Cleaner Production ◽

10.1016/j.jclepro.2019.02.199 ◽

2019 ◽

Vol 220 ◽

pp. 1143-1155 ◽

Cited By ~ 29

Author(s):

Saige Wang ◽

Xiaojie Zhu ◽

Dan Song ◽

Zongguo Wen ◽

Bin Chen ◽

...

Keyword(s):

Power Generation ◽

Co2 Emissions ◽

Decomposition Analysis ◽

Structural Decomposition Analysis ◽

Structural Decomposition

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Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis

Energy Policy ◽

10.1016/j.enpol.2015.11.020 ◽

2016 ◽

Vol 89 ◽

pp. 150-159 ◽

Cited By ~ 94

Author(s):

José M. Cansino ◽

Rocío Román ◽

Manuel Ordóñez

Keyword(s):

Co2 Emissions ◽

Decomposition Analysis ◽

Structural Decomposition Analysis ◽

Spanish Economy ◽

Structural Decomposition

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A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions

Energies ◽

10.3390/en12152843 ◽

2019 ◽

Vol 12 (15) ◽

pp. 2843 ◽

Cited By ~ 2

Author(s):

Haidi Gao ◽

Alun Gu ◽

Gehua Wang ◽

Fei Teng

Keyword(s):

Greenhouse Gas ◽

Co2 Emissions ◽

Ghg Emissions ◽

Decomposition Analysis ◽

Influential Factor ◽

Structural Decomposition Analysis ◽

Structural Decomposition ◽

Net Exports ◽

Major Factors ◽

Consumption Demand

The trends of consumption-based emissions in China have a major impact on global greenhouse gas (GHG) emissions. Previous studies have only focused on China’s energy-related consumption-based emissions of CO2 or specific non-CO2 GHGs without taking overall consumption-based non-CO2 GHG emissions into account. Based on a constructed global non-CO2 GHG emissions database, combined with CO2 emissions data, this paper fills this gap through an examination and analysis of China’s GHG emissions using a global multi-regional input–output (MRIO) model for 2004, 2007 and 2011, and identifies the major factors driving changes in consumption-based emissions through a structural decomposition analysis (SDA). The results show that compared with CO2 emissions, CH4, N2O and F-gases emissions all increased more rapidly. Among consumption-based non-CO2 GHG emissions, investment-based emissions experienced the fastest growth, but the net exports of non-CO2 GHG emissions dropped drastically in recent years. While investment in total final consumption demand is the most influential factor for CO2 emissions, household consumption most significantly affects the growth in consumption-based non-CO2 GHG emissions.

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