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An autoregressive spatial stochastic frontier analysis for quantifying the sales efficiency of the electric vehicle market: An application to 88 pilot cities in China

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  • Pellegrini, Andrea
  • Yao, Xusheng
  • Rose, John M.
  • Ma, Shoufeng

Abstract

This paper proposes the use of an autoregressive spatial stochastic frontier model to measure the sales efficiency of the electric vehicle (EV) market in 88 Chinese cities for the period 2016 to 2023. In contrast to previous research on this topic, the adoption of a stochastic frontier model allows for computing the maximum level of EV sales (i.e., frontier) that each city could have potentially achieved in the timeframe under assessment given a certain set of inputs (e.g., central and local purchase subsidies, subsidies for the construction/operation of electric vehicle chargers, average petrol prices, purchase restrictions on conventional vehicles, among others). Further, the spatial-based structure of the model proposed enables the evaluation of the impact of similar policy interventions implemented in neighbouring cities on EV sales frontier estimated within the city. The empirical evidence suggests that as the provision of EV charging stations around and within the city increases, so does the maximum number of sellable electric cars. A further interesting finding is that the frontier for EV sales is positively influenced by the electric cars purchased in the previous month in neighbouring areas, revealing the presence of a strong spatial dependency. Finally, this study conducts a simulation exercise wherein three hypothetical scenarios are explored: (1) the implementation of a ten percent tax on petrol, (2) a ten percent increase in the number of public chargers available, and (3) the introduction of policies to improve the air quality of all 88 cities. The results from the simulation analysis suggests that improving the number of public charging stations by 10 percent would have resulted in the sales of nearly 41,000 EVs more across the 88 cities over eight years.

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  • Pellegrini, Andrea & Yao, Xusheng & Rose, John M. & Ma, Shoufeng, 2025. "An autoregressive spatial stochastic frontier analysis for quantifying the sales efficiency of the electric vehicle market: An application to 88 pilot cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:transa:v:193:y:2025:i:c:s0965856425000163
    DOI: 10.1016/j.tra.2025.104388
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    as
    1. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    2. Pinjari, Abdul Rawoof & Augustin, Bertho & Sivaraman, Vijayaraghavan & Faghih Imani, Ahmadreza & Eluru, Naveen & Pendyala, Ram M., 2016. "Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 117-133.
    3. Coto-Millán, Pablo & Fernández, Xose Luis & Hidalgo, Soraya & Pesquera, Miguel Ángel, 2016. "Public regulation and technical efficiency in the Spanish Port Authorities: 1986–2012," Transport Policy, Elsevier, vol. 47(C), pages 139-148.
    4. Mukherjee, Sanghamitra Chattopadhyay & Ryan, Lisa, 2020. "Factors influencing early battery electric vehicle adoption in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    5. Ha, Hun-Koo & Wan, Yulai & Yoshida, Yuichiro & Zhang, Anming, 2013. "Airline market structure and airport efficiency: Evidence from major Northeast Asian airports," Journal of Air Transport Management, Elsevier, vol. 33(C), pages 32-42.
    6. Chakraborty, Debapriya & Bunch, David S. & Brownstone, David & Xu, Bingzheng & Tal, Gil, 2022. "Plug-in electric vehicle diffusion in California: Role of exposure to new technology at home and work," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 133-151.
    7. Chorus, Caspar G. & Koetse, Mark J. & Hoen, Anco, 2013. "Consumer preferences for alternative fuel vehicles: Comparing a utility maximization and a regret minimization model," Energy Policy, Elsevier, vol. 61(C), pages 901-908.
    8. Cherchi, Elisabetta, 2017. "A stated choice experiment to measure the effect of informational and normative conformity in the preference for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 88-104.
    9. Zhao, Xiaolei & Zhao, Ziyao & Mao, Yumeng & Li, Xuemei, 2024. "The role of air pollution in electric vehicle adoption: Evidence from China," Transport Policy, Elsevier, vol. 154(C), pages 26-39.
    10. Zheng, Xuemei & Menezes, Flavio & Zheng, Xiaofeng & Wu, Chengkuan, 2022. "An empirical assessment of the impact of subsidies on EV adoption in China: A difference-in-differences approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 121-136.
    11. Caulfield, Brian & Farrell, Séona & McMahon, Brian, 2010. "Examining individuals preferences for hybrid electric and alternatively fuelled vehicles," Transport Policy, Elsevier, vol. 17(6), pages 381-387, November.
    12. Stephane Hess & Mark Fowler & Thomas Adler & Aniss Bahreinian, 2012. "A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study," Transportation, Springer, vol. 39(3), pages 593-625, May.
    13. Scotti, Davide & Malighetti, Paolo & Martini, Gianmaria & Volta, Nicola, 2012. "The impact of airport competition on technical efficiency: A stochastic frontier analysis applied to Italian airport," Journal of Air Transport Management, Elsevier, vol. 22(C), pages 9-15.
    14. Jang, Sungsoon & Choi, Jae Young, 2021. "Which consumer attributes will act crucial roles for the fast market adoption of electric vehicles?: Estimation on the asymmetrical & heterogeneous consumer preferences on the EVs," Energy Policy, Elsevier, vol. 156(C).
    15. Ma, Shao-Chao & Fan, Ying, 2020. "A deployment model of EV charging piles and its impact on EV promotion," Energy Policy, Elsevier, vol. 146(C).
    16. Hoen, Anco & Koetse, Mark J., 2014. "A choice experiment on alternative fuel vehicle preferences of private car owners in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 199-215.
    17. Balliauw, Matteo & Meersman, Hilde & Onghena, Evy & Van de Voorde, Eddy, 2018. "US all-cargo carriers’ cost structure and efficiency: A stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 29-45.
    18. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    19. Panayides, Photis M. & Lambertides, Neophytos & Savva, Christos S., 2011. "The relative efficiency of shipping companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 681-694, September.
    20. Ripoll-Zarraga, Ane Elixabete & Huderek-Glapska, Sonia, 2021. "Airports’ managerial human capital, ownership, and efficiency," Journal of Air Transport Management, Elsevier, vol. 92(C).
    21. Aurélie Glerum & Lidija Stankovikj & Michaël Thémans & Michel Bierlaire, 2014. "Forecasting the Demand for Electric Vehicles: Accounting for Attitudes and Perceptions," Transportation Science, INFORMS, vol. 48(4), pages 483-499, November.
    22. Yang, Zhongzhen & Sun, Yu & Lee, Paul Tae-Woo, 2020. "Impact of the development of the China-Europe Railway Express – A case on the Chongqing international logistics center," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 244-261.
    23. Hidalgo-Gallego, Soraya & Mateo-Mantecón, Ingrid, 2019. "Effect of concentration in airline market on Spanish airport technical efficiency," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 56-66.
    24. Cullinane, Kevin & Wang, Teng-Fei & Song, Dong-Wook & Ji, Ping, 2006. "The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 354-374, May.
    25. Yang, Anni & Liu, Chenhui & Yang, Di & Lu, Chaoru, 2023. "Electric vehicle adoption in a mature market: A case study of Norway," Journal of Transport Geography, Elsevier, vol. 106(C).
    26. Nanaki, Evanthia A. & Koroneos, Christopher J., 2016. "Climate change mitigation and deployment of electric vehicles in urban areas," Renewable Energy, Elsevier, vol. 99(C), pages 1153-1160.
    27. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    28. Buket Avci & Karan Girotra & Serguei Netessine, 2015. "Electric Vehicles with a Battery Switching Station: Adoption and Environmental Impact," Management Science, INFORMS, vol. 61(4), pages 772-794, April.
    29. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    30. Chang, Víctor & Tovar, Beatriz, 2014. "Efficiency and productivity changes for Peruvian and Chilean ports terminals: A parametric distance functions approach," Transport Policy, Elsevier, vol. 31(C), pages 83-94.
    31. Fanchao Liao & Eric Molin & Bert van Wee, 2017. "Consumer preferences for electric vehicles: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 252-275, May.
    32. 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.
    33. Cohen, Jeffrey P., 2010. "The broader effects of transportation infrastructure: Spatial econometrics and productivity approaches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 317-326, May.
    34. Horne, Matt & Jaccard, Mark & Tiedemann, Ken, 2005. "Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions," Energy Economics, Elsevier, vol. 27(1), pages 59-77, January.
    35. 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.
    36. Kong, Nathaniel & Hardman, Scott, 2019. "Electric Vehicle Incentives in 13 Leading Electric Vehicle Markets," Institute of Transportation Studies, Working Paper Series qt0fm3x5bh, Institute of Transportation Studies, UC Davis.
    37. Filippini, M. & Koller, M. & Masiero, G., 2015. "Competitive tendering versus performance-based negotiation in Swiss public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 158-168.
    38. Federica Galli, 2023. "A spatial stochastic frontier model including both frontier and error-based spatial cross-sectional dependence," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(2), pages 239-258, April.
    39. 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.
    40. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    41. Tsukamoto, Takahiro, 2019. "A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency," Japan and the World Economy, Elsevier, vol. 50(C), pages 66-77.
    42. Jenn, Alan & Lee, Jae Hyun & Hardman, Scott & Tal, Gil, 2020. "An in-depth examination of electric vehicle incentives: Consumer heterogeneity and changing response over time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 97-109.
    43. Liu, Xiaoling & Sun, Xiaohua & Zheng, Hui & Huang, Dongdong, 2021. "Do policy incentives drive electric vehicle adoption? Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 49-62.
    44. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    45. 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).
    46. Zou, Yuan & Wei, Shouyang & Sun, Fengchun & Hu, Xiaosong & Shiao, Yaojung, 2016. "Large-scale deployment of electric taxis in Beijing: A real-world analysis," Energy, Elsevier, vol. 100(C), pages 25-39.
    47. 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.
    48. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    49. Ajanovic, Amela & Haas, Reinhard, 2016. "Dissemination of electric vehicles in urban areas: Major factors for success," Energy, Elsevier, vol. 115(P2), pages 1451-1458.
    50. Jeong-Rak Sohn & Chang-Mu Jung, 2009. "The size effect of a port on the container handling efficiency level and market share in internation transshipment flow," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(2), pages 117-129, April.
    51. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    52. 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.
    53. Baptista, Rui, 2000. "Do innovations diffuse faster within geographical clusters?," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 515-535, April.
    54. Peter Wanke & Rafael Garcia Barbastefano & Maria Fernanda Hijjar, 2011. "Determinants of Efficiency at Major Brazilian Port Terminals," Transport Reviews, Taylor & Francis Journals, vol. 31(5), pages 653-677.
    55. Vergis, Sydney & Chen, Belinda, 2015. "Comparison of plug-in electric vehicle adoption in the United States: A state by state approach," Research in Transportation Economics, Elsevier, vol. 52(C), pages 56-64.
    56. 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.
    57. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    58. Di­az-Hernández, Juan José & Marti­nez-Budri­a, Eduardo & Jara-Di­az, Sergio, 2008. "The effects of ignoring inefficiency in the analysis of production: The case of cargo handling in Spanish ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 321-329, February.
    59. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    60. Andrea Pellegrini & Igor Sarman & Rico Maggi, 2021. "Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices," Transportation, Springer, vol. 48(2), pages 931-951, April.
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