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Transport demand, harmful emissions, environment and health co-benefits in China

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  • HE, Ling-Yun
  • QIU, Lu-Yi

Abstract

The Chinese residents' travel demand has been increasing dramatically. As a result, emissions from motor vehicles have been found as one main source of air pollution in China, which consequently influences the residents' health. To better understand the environmental deterioration and health losses caused by the transport sector in China, in current circumstances, one must know how the changes in residents' travel demand and alternative transport modes affect environment and health co-benefits in China. We first of all calculate the demand from nearly all the residents' travel means, including road, rail, water, and air transport. Besides, based on the results, this paper further makes projections for a business-as-usual scenario for 2050 with several alternative transport scenarios to reduce harmful emissions and improve the welfare of the residents' health in China. Our integrated framework includes the harmful emissions models, the fixed box model and the exposure-response models, to link transport demand with possible environmental and health outcomes. The findings suggest that significant environment and health co-benefits are possible if alternative transport replaces. This research, to the best of our knowledge, is the first attempt to estimate the total resident's travel demand under different scenarios and the consequent environment and health co-benefits in the transitional China.

Suggested Citation

  • HE, Ling-Yun & QIU, Lu-Yi, 2016. "Transport demand, harmful emissions, environment and health co-benefits in China," Energy Policy, Elsevier, vol. 97(C), pages 267-275.
    • Handle: RePEc:eee:enepol:v:97:y:2016:i:c:p:267-275
    DOI: 10.1016/j.enpol.2016.07.037
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    References listed on IDEAS

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    1. Loo, Becky P.Y. & Li, Linna, 2012. "Carbon dioxide emissions from passenger transport in China since 1949: Implications for developing sustainable transport," Energy Policy, Elsevier, vol. 50(C), pages 464-476.
    2. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    3. James Hammitt & Ying Zhou, 2006. "The Economic Value of Air-Pollution-Related Health Risks in China: A Contingent Valuation Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(3), pages 399-423, March.
    4. N. Künzli & R. Kaiser & S. Medina & M. Studnicka & O. Chanel & P. Filliger & M. Herry & F. Horak & V. Puybonnieux-Texier & Philippe Quénel & Jodi Schneider & R. Seethaler & Jean-Christophe Vergnaud & , 2000. "Public health Impact of Outdoor and Traffic related Air Pollution," Post-Print halshs-00150955, HAL.
    5. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    6. Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 243-263, January.
    7. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    8. He, Ling-Yun & Chen, Yu, 2013. "Thou shalt drive electric and hybrid vehicles: Scenario analysis on energy saving and emission mitigation for road transportation sector in China," Transport Policy, Elsevier, vol. 25(C), pages 30-40.
    9. Guo, Xiaoqi & Haab, Timothy C. & Hammitt, James K., 2006. "Contingent Valuation and the Economic Value of Air-Pollution-Related Health Risks in China," 2006 Annual meeting, July 23-26, Long Beach, CA 21366, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Hu, Xiaojun & Chang, Shiyan & Li, Jingjie & Qin, Yining, 2010. "Energy for sustainable road transportation in China: Challenges, initiatives and policy implications," Energy, Elsevier, vol. 35(11), pages 4289-4301.
    11. Chen, Su-Mei & He, Ling-Yun, 2014. "Welfare loss of China's air pollution: How to make personal vehicle transportation policy," China Economic Review, Elsevier, vol. 31(C), pages 106-118.
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