|Table of Contents|

Purchase intention of new energy vehicles in rural China based on nudge theory(PDF)

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年4期
Page:
166-176
Research Field:
交通工程
Publishing date:

Info

Title:
Purchase intention of new energy vehicles in rural China based on nudge theory
Author(s):
JIA Wen-jian12 ZHANG Wen-lan1 MA Zhuang-lin12 ZHANG Ri-liang3 BI Yu-ming4
(1. School of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Key Laboratory of Transport Industry of Comprehensive Transportation Theory, Chang'an University,Xi'an 710064, Shaanxi, China; 3. School of Traffic and Transportation, Beijing Jiaotong University,Beijing 100044, China; 4. BYD Automotive Industry Co., Ltd., Shenzhen 518118, Guangdong, China)
Keywords:
traffic engineering new energy vehicles integrated choice and latent variable model rural area purchase intention nudge strategies
PACS:
U491
DOI:
10.19721/j.cnki.1671-8879.2025.04.014
Abstract:
To investigate the driving factors influencing rural consumers' intention to purchase new energy vehicles(NEVs), improve the penetration rate of NEVs in rural China, and provide policy support for the “NEV to the countryside” campaigns, revealed preference and stated preference questionnaires were designed based on the nudge theory, and an integrated choice and latent variable model was developed to analyze the influence mechanisms of nudge strategies, psychological latent variables, and individual socio-economic characteristics on rural consumers' NEV purchase intention. It is shown that providing information on the cost savings of NEVs or the national NEV development plan targets significantly increase rural consumers' NEV purchase intention. However, providing information on carbon emission reduction of NEVs is found to have no significant effect. The new technology sensitivity and NEV awareness are found to be positively related to purchase intention, while the impact of environmental consciousness is not significant. The perception of travel cost is found to indirectly affect rural consumers' NEV purchase intention through moderating the effects of nudge strategies. Socio-economic characteristics are confirmed to have no direct effect on NEV purchase intention, but can be mediated through psychological latent variables. Higher level of NEV awareness and new technology sensitivity are exhibited by male consumers. Middle-aged consumers [30, 50)years old are found to have a higher level of environmental consciousness and travel cost perception. Rural consumers with higher educational attainment(college degree or above)present higher level of NEV awareness, environmental consciousness, and new technology sensitivity, and rural consumers with high-income(annual household income over 60 000 yuan)show a higher perception of travel cost. Given the full phase-out of NEV purchase subsidy, it is necessary to leverage the role of information-providing nudge strategies, while also paying attention to the heterogeneous rural consumer segments and formulating targeted nudge strategies to improve the penetration rate of NEVs in rural China. 6 tabs, 2 figs, 48 refs.

References:

[1] 赵鹏军,胡昊宇,于 昭.中国乡村交通出行与地域系统[J].人文地理,2020,35(4):1-8,138.
ZHAO Peng-jun, HU Hao-yu, YU Zhao. Rural travel behavior and areal system in China[J]. Human Geography, 2020, 35(4): 1-8, 138.
[2]付凌晖,刘爱华.《中国统计年鉴:2023》[M].北京:中国统计出版社,2023.
FU Ling-hui, LIU Ai-hua. China statistical yearbook: 2023[M]. Beijing: China Statistics Press, 2023.
[3]张永伟,朱 晋,徐 阳,等.中国农村地区电动汽车出行研究(2.0版)[R].北京:中国电动汽车百人会,2020.
ZHANG Yong-wei, ZHU Jin, XU Yang, et al. Research on the development of electric vehicles in China's rural areas(version2. 0)[R]. Beijing: China EV100, 2020.
[4]VASSILEVA I, CAMPILLO J. Adoption barriers for electric vehicles: Experiences from early adopters in Sweden[J]. Energy, 2017, 120: 632-641.
[5]HARDMAN S, TAL G. Understanding discontinuance among California's electric vehicle owners[J]. Nature Energy, 2021, 6(5): 538-545.
[6]王月辉,王 青.北京居民新能源汽车购买意向影响因素——基于TAM和TPB整合模型的研究[J].中国管理科学,2013,21(增2):691-698.
WANG Yue-hui, WANG Qing. Factors influencing the purchase intention of new energy vehicles among Beijing residents: A study based on an integrated model of TAM and TPB[J]. Chinese Journal of Management Science, 2013, 21(S2): 691-698.
[7]SOVACOOL B K, DANIELS C, ABDULRAFIU A. Transitioning to electrified, automated and shared mobility in an African context: A comparative review of Johannesburg, Kigali, Lagos and Nairobi[J]. Journal of Transport Geography, 2022, 98: 103256.
[8]SINGH V, SINGH V, VAIBHAV S. A review and simple meta-analysis of factors influencing adoption of electric vehicles[J]. Transportation Research Part D: Transport and Environment, 2020, 86: 102436.
[9]刘建荣,郝小妮.考虑环保意识的低碳出行行为研究[J].交通运输系统工程与信息,2019,19(1):26-32.
LIU Jian-rong, HAO Xiao-ni. Incorporating environmental consciousness into low-carbon traveling behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(1): 26-32.
[10]AXSEN J, CAIRNS J, DUSYK N, et al. What drives the pioneers? Applying lifestyle theory to early electric vehicle buyers in Canada[J]. Energy Research & Social Science, 2018, 44: 17-30.
[11]AXSEN J, LANGMAN B, GOLDBERG S. Confusion of innovations: Mainstream consumer perceptions and misperceptions of electric-drive vehicles and charging programs in Canada[J]. Energy Research & Social Science, 2017, 27: 163-173.
[12]BJERKAN K Y, NØRBECH T E, NORDTM M E. Incentives for promoting battery electric vehicle(BEV)adoption in Norway[J]. Transportation Research Part D: Transport and Environment, 2016, 43: 169-180.
[13]QIAN L, GRISOLÍA J M, SOOPRAMANIEN D. The impact of service and government-policy attributes on consumer preferences for electric vehicles in China[J]. Transportation Research Part A: Policy and Practice, 2019, 122: 70-84.
[14]LIU Y, ZHAO X, LU D. et al. Impact of policy incentives on the adoption of electric vehicle in China[J]. Transportation Research Part A: Policy and Practice, 2023, 176: 103801.
[15]JENN A, LEE J H, HARDMAN S, et al. An in-depth examination of electric vehicle incentives: Consumer heterogeneity and changing response over time[J]. Transportation Research Part A: Policy and Practice, 2020, 132: 97-109.
[16]THALER R H, SUNSTEIN C R. Nudge: Improving decisions about health, wealth, and happiness[M]. New Haven: Yale University Press, 2008.
[17]何贵兵,李 纾,梁竹苑.以小拨大:行为决策助推社会发展[J].心理学报,2018,50(8):803-813.
HE Gui-bing, LI Shu, LIANG Zhu-yuan. Behavioral decision-making is nudging China toward the overall revitalization[J]. Acta Psychologica Sinica, 2018, 50(8): 803-813.
[18]赵 琳.2017年度诺贝尔经济科学奖获得者Richard Thaler研究工作评述[J].管理评论,2017,29(10):3-8.
ZHAO Lin. A Survey on the work of richard thaler: Nobel prize winner in economic sciences in 2017[J]. Management Review, 2017, 29(10): 3-8.
[19]AGARWAL S, ARARAL E, FAN M, et al. Water conservation through plumbing and nudging[J]. Nature Human Behaviour, 2022, 6(6): 858-867.
[20]ADU-GYAMFI G, SONG H, OBUOBI B, et al. Who will adopt? Investigating the adoption intention for battery swap technology for electric vehicles[J]. Renewable and Sustainable Energy Reviews, 2022, 156: 111979.
[21]孙 叶,刘 锴.里程焦虑对纯电动汽车使用意愿的影响[J].武汉理工大学学报(交通科学与工程版),2017,41(1):87-91.
SUN Ye, LIU Kai. Impact of Mileage Anxiety on intention to use pure electric vehicle[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2017, 41(1): 87-91.
[22]KORMOS C, AXSEN J, LONG Z, et al. Latent demand for zero-emissions vehicles in Canada(part 2): Insights from a stated choice experiment[J]. Transportation Research Part D: Transport and Environment, 2019, 67: 685-702.
[23]VIJ A, WALKER J L. How, when and why integrated choice and latent variable models are latently useful[J]. Transportation Research Part B: Methodological, 2016, 90: 192-217.
[24]DALY A, HESS S, PATRUNI B, et al. Using ordered attitudinal indicators in a latent variable choice model: A study of the impact of security on rail travel behaviour[J]. Transportation, 2012, 39: 267-297.
[25]HESS S, PALMA D. Apollo: A flexible, powerful and customizable freeware package for choice model estimation and application[J]. Journal of Choice Modelling, 2019, 32: 100170.
[26]LUTSEY N, CUI H, YU R. Evaluating electric vehicle costs and benefits in China in the 2020-2035 time frame[R]. Washington DC: The International Council of Clean Transportation(ICCT), 2021.
[27]GUO X, SUN Y, REN D. Life cycle carbon emission and cost-effectiveness analysis of electric vehicles in China[J]. Energy for Sustainable Development, 2023, 72: 1-10.
[28]KIM M K, OH J, PARK J H, et al. Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports[J]. Energy, 2018, 159: 799-809.
[29]WU J, LIAO H, WANG J W, et al. The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 60: 37-46.
[30]NAIR G S, BHAT C. R. Sharing the road with autonomous vehicles: Perceived safety and regulatory preferences[J]. Transportation Research Part C: Emerging Technologies, 2021, 122: 102885.
[31]AGUILERA-GARC A, GOMEZ J, ANTONIOU C et al. Behavioral factors impacting adoption and frequency of use of carsharing: A tale of two European cities[J]. Transport Policy, 2022, 123: 55-72.
[32]LONG Z, AXSEN J, KORMOS C. Consumers continue to be confused about electric vehicles: Comparing awareness among Canadian new car buyers in 2013 and 2017[J]. Environmental Research Letters, 2019, 14(11): 114036.
[33]WANG X W, CAO Y M, ZHANG N. The influences of incentive policy perceptions and consumer social attributes on battery electric vehicle purchase intentions[J]. Energy Policy, 2021, 151: 112163.
[34]AXSEN J, CAIRNS J, DUSYK N, et al. What drives the Pioneers? Applying lifestyle theory to early electric vehicle buyers in Canada[J]. Energy Research & Social Science, 2018, 44: 17-30.
[35]JIA W, CHEN T D, ZHANG W. Willingness-to-relocate: Examining preferences for parking relocation of privately-owned automated vehicles[J]. Transportation Research Part D: Transport and Environment, 2022, 108: 103318.
[36]河南省人民政府.河南省人口概况[EB/OL].(2024-04-02)[2024-05-01].https://www.henan.gov.cn/2024/04-02/2972793.html
[37]李卫明,马伟才.《安阳统计年鉴-2023》[M].安阳:安阳市统计局,2023.
LI Wei-ming, MA Wei-cai. Anyang Statistical Yearbook[M]. Anyang: Anyang Municipal Bureau of Statistics, 2023.
[38]李迎伟,吴小武.《河南统计年鉴-2023》[M].北京:中国统计出版社,2023.
LI Ying-wei, WU Xiao-wu. Henan statistical yearbook[M]. Beijing: China Statistics Press, 2023.
[39]MEISSEL K, YAO E S. Using cliff's delta as a non-parametric effect size measure: An accessible web app and R tutorial[J]. Practical Assessment, Research, and Evaluation, 2024, 29(1): 2.
[40]HAIR J F, ANDERSON R E, TATHAM R L, et al. Multivariate data analysis[M]. New Jersey: Englewood Cliff, 1998.
[41]URSACHI G, HORODNIC I A, ZAIT A. How reliable are measurement scales? External factors with indirect influence on reliability estimators[J]. Procedia Economics and Finance, 2015, 20: 679-686.
[42]FORNELL C, LARCKER D F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of marketing research, 1981, 18(1): 39-50.
[43]GALARRAGA I, KALLBEKKEN S, SILVESTRI A. Consumer purchases of energy-efficient cars: How different labelling schemes could affect consumer response to price changes[J]. Energy Policy, 2020, 137: 111181.
[44]傅鑫媛,辛自强,楼紫茜,等.基于助推的环保行为干预策略[J].心理科学进展,2019,27(11):1939-1950.
FU Xin-yuan, XIN Zi-qiang, LOU Zi-xi, et al. Nudging strategies for pro-environmental behavior[J]. Advances in Psychological Science, 2019, 27(11): 1939-1950.
[45]LIAO F, MOLIN E, WEE B. Consumer preferences for electric vehicles: A literature review[J]. Transport Reviews, 2017, 37(3): 252-275.
[46]GHASRI M, ARDESHIRI A, RASHIDI T. Perception towards electric vehicles and the impact on consumers' preference[J]. Transportation Research Part D: Transport and Environment, 2019, 77: 271-291.
[47]ZHAO P, BAI Y. The gap between and determinants of growth in car ownership in urban and rural areas of China: A longitudinal data case study[J]. Journal of Transport Geography, 2019, 79: 102487.
[48]PATEL J, MODI A, PAUL J. Pro-environmental behavior and socio-demographic factors in an emerging market[J]. Asian Journal of Business Ethics, 2017, 6: 189-214.

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Last Update: 2025-07-25