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    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 241, 2019 DOI: 10.1016/j.jclepro.2019.118130

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Mapping economic drivers of China's NOx emissions due to energy consumption

Research output: Contribution to journalJournal article

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Mapping economic drivers of China's NOx emissions due to energy consumption. / He, S.; Zhao, L.; Ding, S.; Liang, S.; Dong, L.; Wang, J.; Feng, Y.; Liu, L.

In: Journal of Cleaner Production, Vol. 241, 20.12.2019.

Research output: Contribution to journalJournal article

Harvard

He, S, Zhao, L, Ding, S, Liang, S, Dong, L, Wang, J, Feng, Y & Liu, L 2019, 'Mapping economic drivers of China's NOx emissions due to energy consumption', Journal of Cleaner Production, vol. 241. https://doi.org/10.1016/j.jclepro.2019.118130

APA

He, S., Zhao, L., Ding, S., Liang, S., Dong, L., Wang, J., Feng, Y., & Liu, L. (2019). Mapping economic drivers of China's NOx emissions due to energy consumption. Journal of Cleaner Production, 241. https://doi.org/10.1016/j.jclepro.2019.118130

Vancouver

He S, Zhao L, Ding S, Liang S, Dong L, Wang J et al. Mapping economic drivers of China's NOx emissions due to energy consumption. Journal of Cleaner Production. 2019 Dec 20;241. https://doi.org/10.1016/j.jclepro.2019.118130

Author

He, S. ; Zhao, L. ; Ding, S. ; Liang, S. ; Dong, L. ; Wang, J. ; Feng, Y. ; Liu, L. / Mapping economic drivers of China's NOx emissions due to energy consumption. In: Journal of Cleaner Production. 2019 ; Vol. 241.

Bibtex

@article{f2bb328768df4c10a23d5e7ae65ad5b3,
title = "Mapping economic drivers of China's NOx emissions due to energy consumption",
abstract = "Emissions of NOx, a precursor to several atmospheric pollutants, are a crucial aspect of air pollution in China, which is closely related to its booming economy and high energy consumption. However, few studies explore the economic structure factors on NOx emissions from energy consumption, especially the spatial heterogeneity of economic drivers. To bridge the knowledge gap, this study adopts a structural decomposition analysis (SDA) to quantify and map the contributions of six drivers of China's NOx emissions from energy consumption (NEEC) between 2007 and 2012, which represent economic scale, economic structure, and energy consumption patterns. For China as a whole, the final demand scale and energy intensity factors increased NEEC, whereas economic structure factors showed an inhibiting effect. However, the change in provincial NEEC due to the production structure and product mix of the final demand varied in a large interval. A negative production structure accompanying a positive final demand product mix led to NEEC growth in metropolises like Beijing and Shanghai. Provincial disparities were dramatic within economic regions in eastern China, including the northwest, north coast, east coast, and south coast regions. These findings indicate that spatially differentiated economic structure and economic growth diversely featured the driving mechanism on provincial NOx emissions, which should be generally considered to make the different regional reduction policies in the future.",
keywords = "Economic drivers, NOx emissions, Spatial disparity, Structural decomposition analysis, Energy utilization, Nitrogen oxides, Pollution, Air pollution in chinas, Atmospheric pollutants, High energy consumption, Spatial heterogeneity, Structural decomposition analysis (SDA), Economic analysis",
author = "S. He and L. Zhao and S. Ding and S. Liang and L. Dong and J. Wang and Y. Feng and L. Liu",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 241, 2019 DOI: 10.1016/j.jclepro.2019.118130",
year = "2019",
month = dec
day = "20",
doi = "10.1016/j.jclepro.2019.118130",
language = "English",
volume = "241",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Mapping economic drivers of China's NOx emissions due to energy consumption

AU - He, S.

AU - Zhao, L.

AU - Ding, S.

AU - Liang, S.

AU - Dong, L.

AU - Wang, J.

AU - Feng, Y.

AU - Liu, L.

N1 - This is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 241, 2019 DOI: 10.1016/j.jclepro.2019.118130

PY - 2019/12/20

Y1 - 2019/12/20

N2 - Emissions of NOx, a precursor to several atmospheric pollutants, are a crucial aspect of air pollution in China, which is closely related to its booming economy and high energy consumption. However, few studies explore the economic structure factors on NOx emissions from energy consumption, especially the spatial heterogeneity of economic drivers. To bridge the knowledge gap, this study adopts a structural decomposition analysis (SDA) to quantify and map the contributions of six drivers of China's NOx emissions from energy consumption (NEEC) between 2007 and 2012, which represent economic scale, economic structure, and energy consumption patterns. For China as a whole, the final demand scale and energy intensity factors increased NEEC, whereas economic structure factors showed an inhibiting effect. However, the change in provincial NEEC due to the production structure and product mix of the final demand varied in a large interval. A negative production structure accompanying a positive final demand product mix led to NEEC growth in metropolises like Beijing and Shanghai. Provincial disparities were dramatic within economic regions in eastern China, including the northwest, north coast, east coast, and south coast regions. These findings indicate that spatially differentiated economic structure and economic growth diversely featured the driving mechanism on provincial NOx emissions, which should be generally considered to make the different regional reduction policies in the future.

AB - Emissions of NOx, a precursor to several atmospheric pollutants, are a crucial aspect of air pollution in China, which is closely related to its booming economy and high energy consumption. However, few studies explore the economic structure factors on NOx emissions from energy consumption, especially the spatial heterogeneity of economic drivers. To bridge the knowledge gap, this study adopts a structural decomposition analysis (SDA) to quantify and map the contributions of six drivers of China's NOx emissions from energy consumption (NEEC) between 2007 and 2012, which represent economic scale, economic structure, and energy consumption patterns. For China as a whole, the final demand scale and energy intensity factors increased NEEC, whereas economic structure factors showed an inhibiting effect. However, the change in provincial NEEC due to the production structure and product mix of the final demand varied in a large interval. A negative production structure accompanying a positive final demand product mix led to NEEC growth in metropolises like Beijing and Shanghai. Provincial disparities were dramatic within economic regions in eastern China, including the northwest, north coast, east coast, and south coast regions. These findings indicate that spatially differentiated economic structure and economic growth diversely featured the driving mechanism on provincial NOx emissions, which should be generally considered to make the different regional reduction policies in the future.

KW - Economic drivers

KW - NOx emissions

KW - Spatial disparity

KW - Structural decomposition analysis

KW - Energy utilization

KW - Nitrogen oxides

KW - Pollution

KW - Air pollution in chinas

KW - Atmospheric pollutants

KW - High energy consumption

KW - Spatial heterogeneity

KW - Structural decomposition analysis (SDA)

KW - Economic analysis

U2 - 10.1016/j.jclepro.2019.118130

DO - 10.1016/j.jclepro.2019.118130

M3 - Journal article

VL - 241

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -