Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors

Wen, Hong‐xing; Chen, Zhe; Yang, Qian; Liu, Jinyi; Nie, Pu‐yan

doi:10.1016/j.energy.2022.123262

Cited by 55 publications

(17 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While promoting CO 2 mitigation, PSPH also needs to meet the continuous growth of power demand. However, restricted by the coal-dominated energy structure, the emissions of PSPH lag far from the peak, which is in compliance with the results of Wen et al [ 63 ]. The same situation happens to SPFM , which is the second largest emitter following PSPH due to its large scale and production process characteristics relying on fossil fuels.…”

Section: Discussionsupporting

confidence: 90%

Tracking Key Industrial Sectors for CO2 Mitigation through the Driving Effects: An Attribution Analysis

Wang

Song

et al. 2022

IJERPH

View full text Add to dashboard Cite

The heavy pressure to improve CO2 emission control in industry requires the identification of key sub-sectors and the clarification of how they mitigate CO2 emissions through various actions. Focusing on 30 Chinese provincial regions, this study quantifies the contribution of each industrial sector to regional CO2 mitigation by combining the logarithmic mean Divisia index with attribution analysis and extract the key sectors of CO2 mitigation for each region. Results indicate that during 2010–2019, significant emission reduction was achieved through energy intensity (74%) in Beijing, while emission reductions were attained through industrial structure changes for Anhui (50%), Henan (45%), and Chongqing (45%). The contribution to emission reduction through energy structures is not significant. The production and supply of power and heat (PSPH) is a central factor in CO2 mitigation through all three inhibitive factors. Petroleum processing and coking (PPC) generally contributes to emission reduction through energy structures, while the smelting and pressing of ferrous metals (SPMF) through changes in industrial structures and energy intensity. PSPH and SPMF, in most regions, have not achieved the emission peak. Except in the case of coal mining and dressing (CMD), CO2 emissions in other key sectors have almost been decoupled from industrial development. CMD effectively promotes CO2 mitigation in Anhui, Henan, and Hunan, with larger contribution of PPC in Tianjin, Xinjiang, Heilongjiang, and that of smelting and pressing of nonferrous metals in Yunnan and Guangxi. The findings help to better identify key sectors across regions that can mitigate CO2 emissions, while analyzing the critical emission characteristics of these sectors, which can provide references to formulating region- and sector-specific CO2 mitigation measures for regions at different levels of development.

show abstract

Section: Discussionsupporting

confidence: 90%

Tracking Key Industrial Sectors for CO2 Mitigation through the Driving Effects: An Attribution Analysis

Wang

Song

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Zhao et al [25] employed decomposition analysis for industrial emissions in Shanghai city from 1996 to 2007 and found that energy intensity and industrial structure were key factors in reducing CO 2 . Wen et al [26] found similar results for 38 sub-industries in China from 2000 to 2017 and estimated that investment, output, and energy scale were the major contributors to raising CO 2 . Wang et al [27] analyzed the data of various industries in the United States from 1997 to 2016.…”

Section: Introductionmentioning

confidence: 69%

Driving Effect of Decoupling Provincial Industrial Economic Growth and Industrial Carbon Emissions in China

Hua

Gao²,

Chen

et al. 2022

IJERPH

View full text Add to dashboard Cite

China is facing the dual challenges of fostering economic growth and mounting an effective response to climate change, so it is vital to continue promoting industrial carbon emission reduction. This paper uses panel data from 1998 to 2019 to measure the industrial carbon emissions of 30 provinces in China. The Tapio decoupling and IPAT (Impact = Population × Affluence × Technology)-based decoupling models are used to analyze each province’s velocity and quantity decoupling index for industrial carbon emissions. The fixed effect model analyzes the influencing factors for carbon decoupling. The results show that the industrial carbon emissions of various provinces in China are increasing yearly, but there are significant differences among provinces. The carbon decoupling of the industrial economy in most provinces is weak, and the quantitative decoupling index is better than the velocity decoupling index. The cleanliness of energy, balance, and labor productivity significantly affect the velocity decoupling index. The cleanliness of energy, the industry’s structure, and the population significantly affect the quantity decoupling index. Based on empirical results, the study puts forward some policies to promote the efficient carbon decoupling of the industrial economy.

show abstract

“…Based on the SDA and Leontief's IO table, the CBE of local and imported can be further decomposed into multiple components. After referring to previous literature and studying the characteristics of Beijing industries (Chen and Zhu, 2019;Wang and Yang, 2021;Wen et al, 2022), we designed five socioeconomic influencing factors, including carbon emission intensity, production structure, consumption structure, per capita consumption, and population. These socioeconomic factors can explain the mechanisms of carbon emission changes from a macro perspective.…”

Section: Structural Decomposition Analysis For Driving Factorsmentioning

confidence: 99%

“…The advantage of SDA is that the impacts of changes in socioeconomic factors on environmental indicators can be analyzed from a macro perspective, which is achieved by decomposing the change in environmental indicators into multiple components. Due to the flexibility and practicality of this approach, this method is widely used in carbon emission studies based on input-output (IO) table (Chen and Zhu, 2019;Wang and Yang, 2021;Wen et al, 2022). For example, Wen et al (2022) analyzed the carbon emission drivers of 38 industrial subsectors in China through SDA, and identified potential emission reduction strategies.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the flexibility and practicality of this approach, this method is widely used in carbon emission studies based on input-output (IO) table (Chen and Zhu, 2019;Wang and Yang, 2021;Wen et al, 2022). For example, Wen et al (2022) analyzed the carbon emission drivers of 38 industrial subsectors in China through SDA, and identified potential emission reduction strategies. Wang and Yang (2021) argued that SDA can be used to compare the differences in the economic structure of regions or countries, and provide systematic recommendations for industrial policy.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A characteristics analysis of carbon emission based on multi-dimensional carbon emission accounting methods and structural decomposition analysis: A case study of Beijing, China

Chen²

2023

Front. Earth Sci.

View full text Add to dashboard Cite

The city’s industrial transformation leads to a large amount of carbon emissions, which poses a thorny problem for the allocation of carbon responsibilities. This study established a multi-dimension long-term carbon emission analysis model to explore the characteristic of Beijing’s embodied carbon emissions, which could calculate the production-based, consumption-based and income-based carbon emissions. Then, structural decomposition analysis was adopted to quantify the contribution of socioeconomic factors in local and imported carbon emissions. In addition, emission linkage analysis was used for revealing the long-term evolutionary trajectories of sectors. The key discovery can be summarized as follows: 1) the fluctuation trend of production-side and income-side carbon emissions in Beijing is stable and decreased by 3.53% from 2002 to 2017, while consumption-side carbon emissions increased rapidly by 795.45%. 2) The energy, transportation and other services sectors from the supply, production and consumption perspectives. 3)Per capita consumption, production structure and consumption structure are the major contributors of carbon emissions. The study is expected to provide decision support for policymakers to reasonably formulate carbon mitigation policies and allocate carbon mitigation responsibilities from multiple perspectives, and promote the realization of the “carbon peak and carbon neutrality” strategy.

show abstract

Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors

Cited by 55 publications

References 73 publications

Tracking Key Industrial Sectors for CO2 Mitigation through the Driving Effects: An Attribution Analysis

Tracking Key Industrial Sectors for CO2 Mitigation through the Driving Effects: An Attribution Analysis

Driving Effect of Decoupling Provincial Industrial Economic Growth and Industrial Carbon Emissions in China

A characteristics analysis of carbon emission based on multi-dimensional carbon emission accounting methods and structural decomposition analysis: A case study of Beijing, China

Contact Info

Product

Resources

About