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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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -