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When are new energy vehicle incentives effective? Empirical evidence from 88 pilot cities in China

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  • Yao, Xusheng
  • Ma, Shoufeng
  • Bai, Yin
  • Jia, Ning

Abstract

Incentive policies play an essential role in the rapid expansion of new energy vehicles (NEVs). Based on a comprehensive panel dataset, this paper investigates the effectiveness of various demand-side incentives in 88 NEV pilot cities in China. First, to explore where policies work effectively, we segment the pilots into several categories and conduct group regression. The results indicate that purchase restriction policies are effective in cities with poor air quality or large sizes. Use restrictions take effect only in cities with poor traffic infrastructure. Charge subsidies work in cities with good air quality or good traffic infrastructure. Second, to measure the contribution of policies, we conduct Shapley decomposition and reveal that the policy mix accounts for 16.9–47.6 % of the variation in NEV sales in distinct city categories. The empirical results of the decomposition also confirm the tendency of a transition from policy-driven to market-driven in the NEV industry. Third, to further validate the role of purchase subsidies, we consider the policy removal event in 2019 as a quasi-natural experiment and demonstrate that the removal of local purchase subsidy had a significant, negative effect on NEV sales. In light of the above findings, we suggest that policymakers avoid making one-size-fits-all policies and design precise and personalized policies, such as purchase restrictions (charge subsidies) for cities with poor (good) air quality. Moreover, a long-term, dynamic subsidy scheme remains necessary for the current stage.

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  • Yao, Xusheng & Ma, Shoufeng & Bai, Yin & Jia, Ning, 2022. "When are new energy vehicle incentives effective? Empirical evidence from 88 pilot cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 207-224.
  • Handle: RePEc:eee:transa:v:165:y:2022:i:c:p:207-224
    DOI: 10.1016/j.tra.2022.09.003
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    as
    1. Geoffrey G. Parker & Burcu Tan & Osman Kazan, 2019. "Electric Power Industry: Operational and Public Policy Challenges and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 28(11), pages 2738-2777, November.
    2. 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.
    3. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    4. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    5. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    6. Azarafshar, Roshanak & Vermeulen, Wessel N., 2020. "Electric vehicle incentive policies in Canadian provinces," Energy Economics, Elsevier, vol. 91(C).
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Yang, Xiaofang & Jin, Wen & Jiang, Hai & Xie, Qianyan & Shen, Wei & Han, Weijian, 2017. "Car ownership policies in China: Preferences of residents and influence on the choice of electric cars," Transport Policy, Elsevier, vol. 58(C), pages 62-71.
    9. Süreyya İmre, 2021. "The Determinants of Child Labor in MINT Countries: Dynamic Panel Data Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(34), pages 57-72, June.
    10. Dong, Feng & Liu, Yajie, 2020. "Policy evolution and effect evaluation of new-energy vehicle industry in China," Resources Policy, Elsevier, vol. 67(C).
    11. Chen, Xiaojie & Zhao, Jinhua, 2013. "Bidding to drive: Car license auction policy in Shanghai and its public acceptance," Transport Policy, Elsevier, vol. 27(C), pages 39-52.
    12. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    13. Münzel, Christiane & Plötz, Patrick & Sprei, Frances & Gnann, Till, 2019. "How large is the effect of financial incentives on electric vehicle sales? – A global review and European analysis," Energy Economics, Elsevier, vol. 84(C).
    14. Liu, Dunnan & Xiao, Bowen, 2018. "Exploring the development of electric vehicles under policy incentives: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 120(C), pages 8-23.
    15. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2019. "An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network," Energy Policy, Elsevier, vol. 129(C), pages 1-12.
    17. Chi, Yuan-Ying & Wang, Yuan-Yuan & Xu, Jin-Hua, 2021. "Estimating the impact of the license plate quota policy for ICEVs on new energy vehicle adoption by using synthetic control method," Energy Policy, Elsevier, vol. 149(C).
    18. Dyck, Alexander & Lins, Karl V. & Roth, Lukas & Wagner, Hannes F., 2019. "Do institutional investors drive corporate social responsibility? International evidence," Journal of Financial Economics, Elsevier, vol. 131(3), pages 693-714.
    19. 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.
    20. Kong, Deyang & Xia, Quhong & Xue, Yixi & Zhao, Xin, 2020. "Effects of multi policies on electric vehicle diffusion under subsidy policy abolishment in China: A multi-actor perspective," Applied Energy, Elsevier, vol. 266(C).
    21. Li, Wenbo & Long, Ruyin & Chen, Hong, 2016. "Consumers’ evaluation of national new energy vehicle policy in China: An analysis based on a four paradigm model," Energy Policy, Elsevier, vol. 99(C), pages 33-41.
    22. Hüttner, Frank & Sunder, Marco, 2011. "Decomposing R2 with the Owen value," Working Papers 100, University of Leipzig, Faculty of Economics and Management Science.
    23. Wee, Sherilyn & Coffman, Makena & La Croix, Sumner, 2018. "Do electric vehicle incentives matter? Evidence from the 50 U.S. states," Research Policy, Elsevier, vol. 47(9), pages 1601-1610.
    24. Lee, Yongseung & Kim, Chongman & Shin, Juneseuk, 2016. "A hybrid electric vehicle market penetration model to identify the best policy mix: A consumer ownership cycle approach," Applied Energy, Elsevier, vol. 184(C), pages 438-449.
    25. Zhuge, Chengxiang & Wei, Binru & Shao, Chunfu & Shan, Yuli & Dong, Chunjiao, 2020. "The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing," Energy Policy, Elsevier, vol. 139(C).
    26. Kwon, Yeongmin & Son, Sanghoon & Jang, Kitae, 2018. "Evaluation of incentive policies for electric vehicles: An experimental study on Jeju Island," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 404-412.
    27. Wang, Shanyong & Li, Jun & Zhao, Dingtao, 2017. "The impact of policy measures on consumer intention to adopt electric vehicles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 14-26.
    28. 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.
    29. Lu, Tianwei & Yao, Enjian & Jin, Fanglei & Yang, Yang, 2022. "Analysis of incentive policies for electric vehicle adoptions after the abolishment of purchase subsidy policy," Energy, Elsevier, vol. 239(PB).
    30. Hayakawa, Kazuhiko, 2007. "Small sample bias properties of the system GMM estimator in dynamic panel data models," Economics Letters, Elsevier, vol. 95(1), pages 32-38, April.
    31. Chen, Hong & Long, Ruyin & Niu, Wenjing & Feng, Qun & Yang, Ranran, 2014. "How does individual low-carbon consumption behavior occur? – An analysis based on attitude process," Applied Energy, Elsevier, vol. 116(C), pages 376-386.
    32. Madhusudhan Adhikari & Laxman Prasad Ghimire & Yeonbae Kim & Prakash Aryal & Sundar Bahadur Khadka, 2020. "Identification and Analysis of Barriers against Electric Vehicle Use," Sustainability, MDPI, vol. 12(12), pages 1-20, June.
    33. Morton, Craig & Lovelace, Robin & Anable, Jillian, 2017. "Exploring the effect of local transport policies on the adoption of low emission vehicles: Evidence from the London Congestion Charge and Hybrid Electric Vehicles," Transport Policy, Elsevier, vol. 60(C), pages 34-46.
    34. Wu, Jingwen & Liao, Hua & Wang, Jin-Wei, 2020. "Analysis of consumer attitudes towards autonomous, connected, and electric vehicles: A survey in China," Research in Transportation Economics, Elsevier, vol. 80(C).
    35. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2020. "Analysis of the impact of policies intervention on electric vehicles adoption considering information transmission—based on consumer network model," Energy Policy, Elsevier, vol. 144(C).
    36. Jenn, Alan & Springel, Katalin & Gopal, Anand R., 2018. "Effectiveness of electric vehicle incentives in the United States," Energy Policy, Elsevier, vol. 119(C), pages 349-356.
    37. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    38. Egnér, Filippa & Trosvik, Lina, 2018. "Electric vehicle adoption in Sweden and the impact of local policy instruments," Energy Policy, Elsevier, vol. 121(C), pages 584-596.
    39. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
    40. Nie, Yu (Marco) & Ghamami, Mehrnaz & Zockaie, Ali & Xiao, Feng, 2016. "Optimization of incentive polices for plug-in electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 103-123.
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