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The impact of promoting new energy vehicles on carbon intensity: Causal evidence from China

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  • Wang, Kunlun
  • Zheng, Leven J.
  • Zhang, Justin Zuopeng
  • Yao, Hongjiang

Abstract

The transport sector accounts for about a quarter of the world’s carbon emissions. Given the huge future growth of the carbon emissions of the transport sector and its tight links to socio-economic development, the introduction of new energy vehicles can not only reduce carbon emissions but also decarbonize the entire economic system by decreasing carbon intensity. Taking advantage of a promotion project in China as a natural experiment, this paper explores the causal effect of promoting new energy vehicles on reducing carbon intensity. Our empirical results show that the promotion of new energy vehicles decreases the carbon intensity in demonstration cities by about 4.5% and decomposition analyses show that less than one-fifths of the decrease comes from the reduction of carbon emissions, and the other four-fifths result from the increases in outputs. Mechanism analyses suggest that in terms of passenger vehicles, this project increases the number of newly registered pure electric passengers motor vehicles, but has no influence on public transportation and taxis. Moreover, the promotion of new energy vehicles by this project is not brought about by the subsidy policy for the private purchase of them. We also put forward some policy recommendations for constructing a low-carbon transport system.

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  • Wang, Kunlun & Zheng, Leven J. & Zhang, Justin Zuopeng & Yao, Hongjiang, 2022. "The impact of promoting new energy vehicles on carbon intensity: Causal evidence from China," Energy Economics, Elsevier, vol. 114(C).
  • Handle: RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322003966
    DOI: 10.1016/j.eneco.2022.106255
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    as
    1. Chen, Zhenni & Du, Huibin & Li, Jianglong & Southworth, Frank & Ma, Shoufeng, 2019. "Achieving low-carbon urban passenger transport in China: Insights from the heterogeneous rebound effect," Energy Economics, Elsevier, vol. 81(C), pages 1029-1041.
    2. Donateo, T. & Licci, F. & D’Elia, A. & Colangelo, G. & Laforgia, D. & Ciancarelli, F., 2015. "Evaluation of emissions of CO2 and air pollutants from electric vehicles in Italian cities," Applied Energy, Elsevier, vol. 157(C), pages 675-687.
    3. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    4. Jayant Sathaye & Andrea Ketof, 1991. "CO2 Emissions from Major Developing Countries: Better Understanding the Role of Energy in the Long Term," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 161-196.
    5. Rogge, Karoline S. & Schleich, Joachim, 2018. "Do policy mix characteristics matter for low-carbon innovation? A survey-based exploration of renewable power generation technologies in Germany," Research Policy, Elsevier, vol. 47(9), pages 1639-1654.
    6. Viard, V. Brian & Fu, Shihe, 2015. "The effect of Beijing's driving restrictions on pollution and economic activity," Journal of Public Economics, Elsevier, vol. 125(C), pages 98-115.
    7. Wang, Shaojian & Liu, Xiaoping, 2017. "China’s city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces," Applied Energy, Elsevier, vol. 200(C), pages 204-214.
    8. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    9. Shahbaz, Muhammad & Gozgor, Giray & Adom, Philip Kofi & Hammoudeh, Shawkat, 2019. "The technical decomposition of carbon emissions and the concerns about FDI and trade openness effects in the United States," International Economics, Elsevier, vol. 159(C), pages 56-73.
    10. Ho, Chun-Yu & Wang, Wei & Yu, Jihai, 2018. "International knowledge spillover through trade: A time-varying spatial panel data approach," Economics Letters, Elsevier, vol. 162(C), pages 30-33.
    11. Feng, Tong & Lin, Zhongguo & Du, Huibin & Qiu, Yueming & Zuo, Jian, 2021. "Does low-carbon pilot city program reduce carbon intensity? Evidence from Chinese cities," Research in International Business and Finance, Elsevier, vol. 58(C).
    12. Nakamura, Kazuki & Hayashi, Yoshitsugu, 2013. "Strategies and instruments for low-carbon urban transport: An international review on trends and effects," Transport Policy, Elsevier, vol. 29(C), pages 264-274.
    13. Yizhen Gu & Chang Jiang & Junfu Zhang & Ben Zou, 2021. "Subways and Road Congestion," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 83-115, April.
    14. Doucette, Reed T. & McCulloch, Malcolm D., 2011. "Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions," Applied Energy, Elsevier, vol. 88(7), pages 2315-2323, July.
    15. Qiu, Y.Q. & Zhou, P. & Sun, H.C., 2019. "Assessing the effectiveness of city-level electric vehicle policies in China," Energy Policy, Elsevier, vol. 130(C), pages 22-31.
    16. Yan, Xiaoyu & Crookes, Roy J., 2009. "Reduction potentials of energy demand and GHG emissions in China's road transport sector," Energy Policy, Elsevier, vol. 37(2), pages 658-668, February.
    17. Lu, Shyi-Min, 2016. "A low-carbon transport infrastructure in Taiwan based on the implementation of energy-saving measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 499-509.
    18. Meng, Lina & Graus, Wina & Worrell, Ernst & Huang, Bo, 2014. "Estimating CO2 (carbon dioxide) emissions at urban scales by DMSP/OLS (Defense Meteorological Satellite Program's Operational Linescan System) nighttime light imagery: Methodological challenges and a ," Energy, Elsevier, vol. 71(C), pages 468-478.
    19. Andersson, Fredrik N.G. & Karpestam, Peter, 2013. "CO2 emissions and economic activity: Short- and long-run economic determinants of scale, energy intensity and carbon intensity," Energy Policy, Elsevier, vol. 61(C), pages 1285-1294.
    20. Tan, Ruipeng & Tang, Di & Lin, Boqiang, 2018. "Policy impact of new energy vehicles promotion on air quality in Chinese cities," Energy Policy, Elsevier, vol. 118(C), pages 33-40.
    21. Skippon, Stephen M. & Kinnear, Neale & Lloyd, Louise & Stannard, Jenny, 2016. "How experience of use influences mass-market drivers’ willingness to consider a battery electric vehicle: A randomised controlled trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 26-42.
    22. Stephen P. Holland, Jonathan E. Hughes, Christopher R. Knittel, Nathan C. Parker, 2015. "Unintended Consequences of Carbon Policies: Transportation Fuels, Land-Use, Emissions, and Innovation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    23. Lin, Boqiang & Wu, Wei, 2021. "The impact of electric vehicle penetration: A recursive dynamic CGE analysis of China," Energy Economics, Elsevier, vol. 94(C).
    24. Zhang, Xian & Wang, Ke & Hao, Yu & Fan, Jing-Li & Wei, Yi-Ming, 2013. "The impact of government policy on preference for NEVs: The evidence from China," Energy Policy, Elsevier, vol. 61(C), pages 382-393.
    25. Liu, Changqing & Li, Lei, 2020. "How do subways affect urban passenger transport modes?—Evidence from China," Economics of Transportation, Elsevier, vol. 23(C).
    26. Hofmann, Jana & Guan, Dabo & Chalvatzis, Konstantinos & Huo, Hong, 2016. "Assessment of electrical vehicles as a successful driver for reducing CO2 emissions in China," Applied Energy, Elsevier, vol. 184(C), pages 995-1003.
    27. Ma, Shao-Chao & Fan, Ying & Feng, Lianyong, 2017. "An evaluation of government incentives for new energy vehicles in China focusing on vehicle purchasing restrictions," Energy Policy, Elsevier, vol. 110(C), pages 609-618.
    28. Wang, Renjie & Wu, Ye & Ke, Wenwei & Zhang, Shaojun & Zhou, Boya & Hao, Jiming, 2015. "Can propulsion and fuel diversity for the bus fleet achieve the win–win strategy of energy conservation and environmental protection?," Applied Energy, Elsevier, vol. 147(C), pages 92-103.
    29. Su, Yongxian & Chen, Xiuzhi & Li, Yong & Liao, Jishan & Ye, Yuyao & Zhang, Hongou & Huang, Ningsheng & Kuang, Yaoqiu, 2014. "China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 231-243.
    30. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    31. Wang, Ning & Pan, Huizhong & Zheng, Wenhui, 2017. "Assessment of the incentives on electric vehicle promotion in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 177-189.
    32. Yang, Zhenbing & Shao, Shuai & Yang, Lili, 2021. "Unintended consequences of carbon regulation on the performance of SOEs in China: The role of technical efficiency," Energy Economics, Elsevier, vol. 94(C).
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    Cited by:

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    2. Xia Li & Yi Peng & Qiqi He & Hongmei He & Song Xue, 2023. "Development of New-Energy Vehicles under the Carbon Peaking and Carbon Neutrality Strategy in China," Sustainability, MDPI, vol. 15(9), pages 1-11, May.
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    4. Zhongzheng, Wang, 2023. "Extreme risk transmission mechanism between oil, green bonds and new energy vehicles," Innovation and Green Development, Elsevier, vol. 2(3).
    5. Min Zhao & Yu Fang & Debao Dai, 2023. "Forecast of the Evolution Trend of Total Vehicle Sales and Power Structure of China under Different Scenarios," Sustainability, MDPI, vol. 15(5), pages 1-22, February.

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    More about this item

    Keywords

    Carbon intensity; New energy vehicles; Carbon emissions reduction; Subsidy policy;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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