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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, 184, 2018 DOI: 10.1016/j.clepro.2018.02.305

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Investigating the driving forces of NOx generation from energy consumption in China

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Investigating the driving forces of NOx generation from energy consumption in China. / Wang, Junfeng; Qiu, Ye; He, Shutong et al.
In: Journal of Cleaner Production, Vol. 184, 20.05.2018, p. 836-846.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wang, J, Qiu, Y, He, S, Liu, N, Xiao, C & Liu, L 2018, 'Investigating the driving forces of NOx generation from energy consumption in China', Journal of Cleaner Production, vol. 184, pp. 836-846. https://doi.org/10.1016/j.jclepro.2018.02.305

APA

Wang, J., Qiu, Y., He, S., Liu, N., Xiao, C., & Liu, L. (2018). Investigating the driving forces of NOx generation from energy consumption in China. Journal of Cleaner Production, 184, 836-846. https://doi.org/10.1016/j.jclepro.2018.02.305

Vancouver

Wang J, Qiu Y, He S, Liu N, Xiao C, Liu L. Investigating the driving forces of NOx generation from energy consumption in China. Journal of Cleaner Production. 2018 May 20;184:836-846. Epub 2018 Mar 3. doi: 10.1016/j.jclepro.2018.02.305

Author

Wang, Junfeng ; Qiu, Ye ; He, Shutong et al. / Investigating the driving forces of NOx generation from energy consumption in China. In: Journal of Cleaner Production. 2018 ; Vol. 184. pp. 836-846.

Bibtex

@article{63b5561472734af2929acecf43d716b4,
title = "Investigating the driving forces of NOx generation from energy consumption in China",
abstract = "In China, nitrogen oxide (NOx) emissions have been declining in recent years, whereas NOx generation continues to increase. This has prompted a growing focus of policy design to inspect the driving mechanisms of NOx generation. In this study, a decomposition model of NOx generation in China from 1995 to 2014 was built using the Logarithmic Mean Divisia Index (LMDI) method. According to the decomposition results, technological effects (e.g., energy intensity and the sector generation factor) inhibited NOx generation in China, while gross domestic product (GDP) per capita was found to have the most positive effect on increasing NOx generation, accounting for 151.00% of the total change and showing an increasing trend in recent years. The sector structure of energy consumption always increased NOx generation, which contradicts the results of previous studies. All population effects considered in this study contributed to the growth in NOx generation. The population scale effect was increasingly impactful on the growth of NOx generation; the population spatial structure was active but less impactful. In general, technological impact cannot offset the increases caused by economic, structural, and population effects. Considering NOx reduction policy in China, more attention should be given to emission reduction policies, energy consumption, and socio-economic effects; together, these approaches will improve initiatives to reduce NOx.",
keywords = "China, NOx generation, LMDI, Driving forces, Population effects",
author = "Junfeng Wang and Ye Qiu and Shutong He and Nan Liu and Chengyu Xiao and Lingxuan 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, 184, 2018 DOI: 10.1016/j.clepro.2018.02.305",
year = "2018",
month = may,
day = "20",
doi = "10.1016/j.jclepro.2018.02.305",
language = "English",
volume = "184",
pages = "836--846",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Investigating the driving forces of NOx generation from energy consumption in China

AU - Wang, Junfeng

AU - Qiu, Ye

AU - He, Shutong

AU - Liu, Nan

AU - Xiao, Chengyu

AU - Liu, Lingxuan

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, 184, 2018 DOI: 10.1016/j.clepro.2018.02.305

PY - 2018/5/20

Y1 - 2018/5/20

N2 - In China, nitrogen oxide (NOx) emissions have been declining in recent years, whereas NOx generation continues to increase. This has prompted a growing focus of policy design to inspect the driving mechanisms of NOx generation. In this study, a decomposition model of NOx generation in China from 1995 to 2014 was built using the Logarithmic Mean Divisia Index (LMDI) method. According to the decomposition results, technological effects (e.g., energy intensity and the sector generation factor) inhibited NOx generation in China, while gross domestic product (GDP) per capita was found to have the most positive effect on increasing NOx generation, accounting for 151.00% of the total change and showing an increasing trend in recent years. The sector structure of energy consumption always increased NOx generation, which contradicts the results of previous studies. All population effects considered in this study contributed to the growth in NOx generation. The population scale effect was increasingly impactful on the growth of NOx generation; the population spatial structure was active but less impactful. In general, technological impact cannot offset the increases caused by economic, structural, and population effects. Considering NOx reduction policy in China, more attention should be given to emission reduction policies, energy consumption, and socio-economic effects; together, these approaches will improve initiatives to reduce NOx.

AB - In China, nitrogen oxide (NOx) emissions have been declining in recent years, whereas NOx generation continues to increase. This has prompted a growing focus of policy design to inspect the driving mechanisms of NOx generation. In this study, a decomposition model of NOx generation in China from 1995 to 2014 was built using the Logarithmic Mean Divisia Index (LMDI) method. According to the decomposition results, technological effects (e.g., energy intensity and the sector generation factor) inhibited NOx generation in China, while gross domestic product (GDP) per capita was found to have the most positive effect on increasing NOx generation, accounting for 151.00% of the total change and showing an increasing trend in recent years. The sector structure of energy consumption always increased NOx generation, which contradicts the results of previous studies. All population effects considered in this study contributed to the growth in NOx generation. The population scale effect was increasingly impactful on the growth of NOx generation; the population spatial structure was active but less impactful. In general, technological impact cannot offset the increases caused by economic, structural, and population effects. Considering NOx reduction policy in China, more attention should be given to emission reduction policies, energy consumption, and socio-economic effects; together, these approaches will improve initiatives to reduce NOx.

KW - China

KW - NOx generation

KW - LMDI

KW - Driving forces

KW - Population effects

U2 - 10.1016/j.jclepro.2018.02.305

DO - 10.1016/j.jclepro.2018.02.305

M3 - Journal article

VL - 184

SP - 836

EP - 846

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -