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How Do Transportation Influencing Factors Affect Air Pollutants from Vehicles in China? Evidence from Threshold Effect

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Listed:
  • Shiwen Liu

    (College of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Hongxiong Li

    (School of Economics, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Wen Kun

    (College of Finance and Economics, Hainan Vocational University of Science and Technology, Haikou 571126, China
    School of Leadership, Jiangxi Administration Institute, Nanchang 330108, China)

  • Zhen Zhang

    (School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China)

  • Haotian Wu

    (Shanghai Investigation, Design & Research Institute Co., Ltd., Shanghai 200335, China)

Abstract

In recent years, China has promoted a series of legal norms to reduce the environmental impact of air pollutants from vehicles. The three main vehicle emission species (carbon monoxide, hydrocarbons, nitrogen oxides) contribute significantly to air pollution. In this study, the emission factor method was used to estimate air pollutants from vehicles in 31 provinces from 2006 to 2016. The results show a trend of total vehicle carbon monoxide (CO) and hydrocarbons (HC) emissions decreasing with time; the vehicle nitrogen oxides (NOx) emission trend is divided into two stages: an upward trend between 2006 and 2012 and a downward trend after 2012. Based on a panel threshold, a regression method was used to divide the vehicle NOx and CO emissions in China into four emission zones: low emissions, medium emissions, high emissions, and extra-high emissions. Vehicle HC emissions were divided into three emission zones, which corresponded to low emissions, medium emissions, and high emissions. Overall, vehicle pollution emission efficiency and per capita GDP have a significant inhibitory effect on the three main air pollutants from vehicles (NOx, HC, CO). Both passenger and freight turnover have significant roles in promoting the three air pollutants from vehicles (NOx, HC, CO). Road density and road carrying capacity have a significant role in promoting vehicle HC and CO emissions. Increasing truck proportion inhibits vehicle CO emissions and promotes vehicle NOx emissions. The urbanization rate has a positive effect on vehicle HC and CO emissions. Moreover, there is obvious heterogeneity in different emission zones of the three air pollutants from vehicles (NOx, HC, CO).

Suggested Citation

  • Shiwen Liu & Hongxiong Li & Wen Kun & Zhen Zhang & Haotian Wu, 2022. "How Do Transportation Influencing Factors Affect Air Pollutants from Vehicles in China? Evidence from Threshold Effect," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9402-:d:877574
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    References listed on IDEAS

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    1. Montag, Josef, 2015. "The simple economics of motor vehicle pollution: A case for fuel tax," Energy Policy, Elsevier, vol. 85(C), pages 138-149.
    2. Cheng, Yung-Hsiang & Chang, Yu-Hern & Lu, I.J., 2015. "Urban transportation energy and carbon dioxide emission reduction strategies," Applied Energy, Elsevier, vol. 157(C), pages 953-973.
    3. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    4. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    5. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    6. Limanond, Thirayoot & Jomnonkwao, Sajjakaj & Srikaew, Artit, 2011. "Projection of future transport energy demand of Thailand," Energy Policy, Elsevier, vol. 39(5), pages 2754-2763, May.
    7. Bruce E. Hansen, 2017. "Regression Kink With an Unknown Threshold," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 228-240, April.
    8. Du, Zhili & Lin, Boqiang, 2019. "Changes in automobile energy consumption during urbanization: Evidence from 279 cities in China," Energy Policy, Elsevier, vol. 132(C), pages 309-317.
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