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Impacts of Freight Transport on PM 2.5 Concentrations in China: A Spatial Dynamic Panel Analysis

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  • Yan Wang

    (School of Statistics, University of International Business and Economics, Beijing 100029, China)

  • Dong Yang

    (China Academy of Transportation Sciences, Beijing 100029, China)

Abstract

Freight transport policies have been developed to reduce air pollution in China. This paper aims to evaluate the impact of a freight modal shift on PM 2.5 concentrations using the panel data of 30 provinces in China over the period 1999–2016. The direct and spillover effects of a freight modal shift on PM 2.5 concentrations in China, as well as the effects of other socioeconomic factors, were estimated by employing spatial dynamic panel data models. In particular, the channel through which the freight modal shift might be beneficial in reducing PM 2.5 concentrations was examined. The results show that PM 2.5 concentrations in China do not only decrease with a modal shift of freight from road to rail in a province, but also and to a larger extent with that in neighboring provinces. However, there exist heterogeneous effects across different regions of China. The interaction between a freight modal shift and energy efficiency may lead to a decrease in the PM 2.5 concentrations, but only in the central and western regions. These findings provide suggestions for government policies directed to sustainable development.

Suggested Citation

  • Yan Wang & Dong Yang, 2018. "Impacts of Freight Transport on PM 2.5 Concentrations in China: A Spatial Dynamic Panel Analysis," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2865-:d:163409
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    1. Oliwia Pietrzak & Krystian Pietrzak, 2021. "The Economic Effects of Electromobility in Sustainable Urban Public Transport," Energies, MDPI, vol. 14(4), pages 1-28, February.
    2. Hongyou Lu & Yunchan Zhu & Yu Qi & Jinliang Yu, 2018. "Do Urban Subway Openings Reduce PM 2.5 Concentrations? Evidence from China," Sustainability, MDPI, vol. 10(11), pages 1-24, November.

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