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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, 288, 2021 DOI: 10.1016/j.jclepro.2020.125635

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    Embargo ends: 27/12/21

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Uncovering temporal-spatial drivers of vehicular NOx emissions in China

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Uncovering temporal-spatial drivers of vehicular NOx emissions in China. / Wang, J.; Li, X.; Ding, S.; Xu, X.; Liu, L.; Dong, L.; Feng, Y.

In: Journal of Cleaner Production, Vol. 288, 125635, 15.03.2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Wang, J, Li, X, Ding, S, Xu, X, Liu, L, Dong, L & Feng, Y 2021, 'Uncovering temporal-spatial drivers of vehicular NOx emissions in China', Journal of Cleaner Production, vol. 288, 125635. https://doi.org/10.1016/j.jclepro.2020.125635

APA

Wang, J., Li, X., Ding, S., Xu, X., Liu, L., Dong, L., & Feng, Y. (2021). Uncovering temporal-spatial drivers of vehicular NOx emissions in China. Journal of Cleaner Production, 288, [125635]. https://doi.org/10.1016/j.jclepro.2020.125635

Vancouver

Wang J, Li X, Ding S, Xu X, Liu L, Dong L et al. Uncovering temporal-spatial drivers of vehicular NOx emissions in China. Journal of Cleaner Production. 2021 Mar 15;288. 125635. https://doi.org/10.1016/j.jclepro.2020.125635

Author

Wang, J. ; Li, X. ; Ding, S. ; Xu, X. ; Liu, L. ; Dong, L. ; Feng, Y. / Uncovering temporal-spatial drivers of vehicular NOx emissions in China. In: Journal of Cleaner Production. 2021 ; Vol. 288.

Bibtex

@article{26834dee515d472cb867b5046b3a2207,
title = "Uncovering temporal-spatial drivers of vehicular NOx emissions in China",
abstract = "The increasing vehicle numbers in China have raised issues on effective mitigation of the vehicular NOx emissions recently. Notably, temporally growing and spatial agglomeration of high vehicular NOx emissions make an essential challenge to the mitigation strategy-makers. However, so far, there have been few studies to give insight into the socioeconomic drivers like the spatial imbalance of socioeconomic development, vehicle structure and road infrastructure to help governors. To fill the above gap, this study explores drivers of temporal change and spatial differences by building a temporal-spatial decomposition model and accounting for national and regional NOx emissions from vehicles in China from 2005 to 2015. Results show that, of all the driving forces in this study, only road vehicle carrying capacity (ΔNVI) acts as a primary driving force for both temporal growing and spatial agglomeration of vehicular NOx emissions in China. Regional vehicle emission intensity (ΔNNI) and road economic growth (ΔNEI) only mainly contributed to spatial agglomeration. While economic development (ΔNG) played a crucial role in the temporal growing of vehicular NOx emissions in China. These findings indicate that the future mitigation policy should fully cover the comprehensive socioeconomic factors, which would be useful for China and other developing countries when aiming to improve the performance of their current vehicle emissions policy system.",
keywords = "Agglomeration, China, Spatial differences, Temporal-spatial decomposition, Vehicular NOx emissions, Developing countries, Economic and social effects, Economics, Nitrogen oxides, Roads and streets, Mitigation policies, Mitigation strategy, Road infrastructures, Socio-economic development, Socio-economic factor, Spatial decompositions, Vehicle structures, Road vehicles",
author = "J. Wang and X. Li and S. Ding and X. Xu and L. Liu and L. Dong and Y. Feng",
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, 288, 2021 DOI: 10.1016/j.jclepro.2020.125635",
year = "2021",
month = mar,
day = "15",
doi = "10.1016/j.jclepro.2020.125635",
language = "English",
volume = "288",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Uncovering temporal-spatial drivers of vehicular NOx emissions in China

AU - Wang, J.

AU - Li, X.

AU - Ding, S.

AU - Xu, X.

AU - Liu, L.

AU - Dong, L.

AU - Feng, Y.

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, 288, 2021 DOI: 10.1016/j.jclepro.2020.125635

PY - 2021/3/15

Y1 - 2021/3/15

N2 - The increasing vehicle numbers in China have raised issues on effective mitigation of the vehicular NOx emissions recently. Notably, temporally growing and spatial agglomeration of high vehicular NOx emissions make an essential challenge to the mitigation strategy-makers. However, so far, there have been few studies to give insight into the socioeconomic drivers like the spatial imbalance of socioeconomic development, vehicle structure and road infrastructure to help governors. To fill the above gap, this study explores drivers of temporal change and spatial differences by building a temporal-spatial decomposition model and accounting for national and regional NOx emissions from vehicles in China from 2005 to 2015. Results show that, of all the driving forces in this study, only road vehicle carrying capacity (ΔNVI) acts as a primary driving force for both temporal growing and spatial agglomeration of vehicular NOx emissions in China. Regional vehicle emission intensity (ΔNNI) and road economic growth (ΔNEI) only mainly contributed to spatial agglomeration. While economic development (ΔNG) played a crucial role in the temporal growing of vehicular NOx emissions in China. These findings indicate that the future mitigation policy should fully cover the comprehensive socioeconomic factors, which would be useful for China and other developing countries when aiming to improve the performance of their current vehicle emissions policy system.

AB - The increasing vehicle numbers in China have raised issues on effective mitigation of the vehicular NOx emissions recently. Notably, temporally growing and spatial agglomeration of high vehicular NOx emissions make an essential challenge to the mitigation strategy-makers. However, so far, there have been few studies to give insight into the socioeconomic drivers like the spatial imbalance of socioeconomic development, vehicle structure and road infrastructure to help governors. To fill the above gap, this study explores drivers of temporal change and spatial differences by building a temporal-spatial decomposition model and accounting for national and regional NOx emissions from vehicles in China from 2005 to 2015. Results show that, of all the driving forces in this study, only road vehicle carrying capacity (ΔNVI) acts as a primary driving force for both temporal growing and spatial agglomeration of vehicular NOx emissions in China. Regional vehicle emission intensity (ΔNNI) and road economic growth (ΔNEI) only mainly contributed to spatial agglomeration. While economic development (ΔNG) played a crucial role in the temporal growing of vehicular NOx emissions in China. These findings indicate that the future mitigation policy should fully cover the comprehensive socioeconomic factors, which would be useful for China and other developing countries when aiming to improve the performance of their current vehicle emissions policy system.

KW - Agglomeration

KW - China

KW - Spatial differences

KW - Temporal-spatial decomposition

KW - Vehicular NOx emissions

KW - Developing countries

KW - Economic and social effects

KW - Economics

KW - Nitrogen oxides

KW - Roads and streets

KW - Mitigation policies

KW - Mitigation strategy

KW - Road infrastructures

KW - Socio-economic development

KW - Socio-economic factor

KW - Spatial decompositions

KW - Vehicle structures

KW - Road vehicles

U2 - 10.1016/j.jclepro.2020.125635

DO - 10.1016/j.jclepro.2020.125635

M3 - Journal article

VL - 288

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

M1 - 125635

ER -