The Driving Forces of Changes in CO2 Emissions in China: A Structural Decomposition Analysis

Xiao, Bowen; Niu, Dongxiao; Guo, Xiaodan

doi:10.3390/en9040259

Cited by 32 publications

(18 citation statements)

References 44 publications

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“…A few studies focused on China. For example, Xiao et al (2016) and Chang and Lahr (2016) used the SDA approach to identify the key factors that affected CO 2 emissions in China for the time periods 1997-2010 and 2005-2010, respectively. The key findings of these two studies were that efficiency helped to reduce emissions, while capital investment explained the majority of the increases in CO 2 emissions brought about by final demand.…”

Section: Introductionmentioning

confidence: 99%

Pattern changes in determinants of Chinese emissions

Meng

Guan

et al. 2017

Environ. Res. Lett.

229

110

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The Chinese economy has been recovering slowly from the global financial crisis, but it cannot achieve the same rapid development of the pre-recession period. Instead, the country has entered a new phase of economic development-a 'new normal' . We use a structural decomposition analysis and environmental input-output analysis to estimate the determinants of China's carbon emission changes during 2005-2012. China's imports are linked to a global multi-regional inputoutput model based on the Global Trade and Analysis Project database to calculate the embodied CO 2 emissions in imports. We find that the global financial crisis has affected the drivers of China's carbon emission growth. From 2007 to 2010, the CO 2 emissions induced by China's exports dropped, whereas emissions induced by capital formation grew rapidly. In the 'new normal' , the strongest factors that offset CO 2 emissions have shifted from efficiency gains to structural upgrading. Efficiency was the strongest factor offsetting China's CO 2 emissions before 2010 but drove a 1.4% increase in emissions in the period 2010-2012. By contrast, production structure and consumption patterns caused a 2.6% and 1.3% decrease, respectively, in China's carbon emissions from 2010 to 2012. In addition, China tends to shift gradually from an investment to a consumption-driven economy. The proportion of CO 2 emissions induced by consumption had a declining trend before 2010 but grew from 28.6%-29.1% during 2010-2012.

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Section: Introductionmentioning

confidence: 99%

Pattern changes in determinants of Chinese emissions

Meng

Guan

et al. 2017

Environ. Res. Lett.

229

110

View full text Add to dashboard Cite

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“…As for factors influencing of carbon emissions, the factor decomposition method has been extensively applied to study changes in carbon dioxide emissions and energy consumption . There are typically two types of decomposition approaches: index decomposition analysis (IDA) and structural decomposition analysis (SDA).…”

Section: Literaturementioning

confidence: 99%

“…Wang and Yang 43 As for factors influencing of carbon emissions, the factor decomposition method has been extensively applied to study changes in carbon dioxide emissions and energy consumption. [49][50][51][52] There are typically two types of decomposition approaches: index decomposition analysis (IDA) and structural decomposition analysis (SDA). Wang et al 53 reviewed studies published in 2010-2015 and compared the two techniques from the methodological and application viewpoints.…”

Section: Literaturementioning

confidence: 99%

China's provincial energy‐related carbon emissions‐economy nexus: A two‐stage framework based on decoupling analysis and panel vector autoregression

Pan

Liu

Tsai

et al. 2019

Energy Science & Engineering

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China is transforming the growth model and speeding up industrial structural improvement and upgrading now and in the coming years, which means the slowdown of economic growth and more serious environmental costs in economic and social development would be the “New Normal.” As the world's largest energy consumer and carbon‐emitting country, China's emissions reduction commitments are crucial to global greenhouse gas emissions mitigation, so there is a profusion of research focused on China's economy‐environment nexus. Among which, the dynamic relationship of carbon emission and economic growth and its evolution combined the national, regional, provincial data have not been discussed thoroughly. This paper analyses the elasticity of economic performance of carbon emissions based on 30 Chinese provincial data from 2000 to 2016; furthermore, a panel vector autoregressive model is constructed to discuss the interactions of variables within environmental economic system. It is concluded that China is experiencing a turning point from weak decoupling to strong decoupling in recent years, and its economic performance of carbon emissions has been gradually improved with larger disparities among provinces though. Regression result confirms the role of the energy mix on carbon emissions, and it also indicates that the impact of most factors influencing that have been discussed in previous studies may not be direct, prominent, and for long term.

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“…There are two commonly used methods in the similar studies Xiao et al 2016): structural decomposition analysis (SDA) and index decomposition analysis (IDA). SDA often requires the economic data of an input-output table, while IDA only needs the aggregate data of each industrial category (Cellura et al 2012;Cansino et al 2016;Yang et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Multi-perspective comparisons and mitigation implications of SO2 and NO x discharges from the industrial sector of China: a decomposition analysis

Jia

Gong

et al. 2018

Environ Sci Pollut Res

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This study is the first attempt to investigate the drivers of Chinese industrial SO and NO emissions from both periodic and structural perspectives through a decomposition analysis using the logarithmic mean Divisia index (LMDI). The two pollutants' emissions were decomposed into output effects, structural effects, clean production effects, and pollution abatement effects. The results showed that China's industrial SO discharge increased by 1.14 Mt during 2003-2014, and the contributions from the four effects were 23.17, - 1.88, - 3.80, and - 16.36 Mt, respectively. Likewise, NO discharge changed by - 3.44 Mt over 2011-2014, and the corresponding contributions from the four effects were 2.97, - 0.62, - 1.84, and - 3.95 Mt. Thus, the output effect was mainly responsible for the growth of the two discharges. The average annual contribution rates of SO and NO from output were 14.33 and 5.97%, respectively, but pollution abatement technology presented the most obvious mitigating effects (- 10.11 and - 7.92%), followed by the mitigating effects of clean production technology (- 2.35 and - 3.7%), and the mitigation from the structural effect was the weakest (- 1.16 and - 1.25%, respectively), which meant pollutant reduction policies related to industrial structure adjustment should be a long-term measure for the two discharges. In addition, the sub-sectors of I20 (manufacture of raw chemical materials and chemical products), I24 (manufacture of non-metallic mineral products), and I26 (smelting and pressing of non-ferrous metals) were the major contributors to both discharges. Thus, these sub-sectors should be given priority consideration when designing mitigation-related measures. Last, some particular policy implications were recommended for reducing the two discharges, including that the government should seek a technological discharge reduction route.

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The Driving Forces of Changes in CO2 Emissions in China: A Structural Decomposition Analysis

Cited by 32 publications

References 44 publications

Pattern changes in determinants of Chinese emissions

Pattern changes in determinants of Chinese emissions

China's provincial energy‐related carbon emissions‐economy nexus: A two‐stage framework based on decoupling analysis and panel vector autoregression

Multi-perspective comparisons and mitigation implications of SO2 and NO x discharges from the industrial sector of China: a decomposition analysis

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