Factors Influencing Purchase Intention of Electric Vehicles of Consumers in Chengdu, China
Article Sidebar
Main Article Content
Abstract
Purpose: This study aims to explore the factors influencing consumers' purchase intention of electric vehicles in Chengdu. The researcher used a quantitative survey method to conduct the study. The conceptual framework of this study includes perceived benefit, perceived risk, attitude, environmental concerns, subjective norm, perceived behavioral control, and purchase intention. Research design, data, and methodology: This research comprises 500 consumers who are residents of Chengdu, aging 18 years old and above, and possess a driver's license, with an adequate income to buy electric vehicles. The validity of the research instrument was assessed by item-objective congruence (IOC), and the reliability of internal consistency was assessed by Cronbach's alpha. In addition, various sampling techniques were used including judgmental, quota, and convenience sampling. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used as statistical analysis tools in this thesis to assess the data. Results: perceived benefit and perceived risk significantly influence attitude. Environmental concerns, subjective norm, and perceived behavioral control are significant factors of purchase intention. Conversely, Attitude has no significant influence on purchase intention. Conclusions: This study provides valuable insights for stakeholders aiming to promote sustainable transportation solutions in the region, ultimately contributing to the broader goal of reducing carbon emissions and mitigating environmental impact.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data, or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution License (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
References
Ajzen, I. (2002). Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665–683.
Ajzen, I., & Fishbein, M. (1977). Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical Research. Psychological Bulletin, 84, 888-918. https://doi.org/10.1037/0033-2909.84.5.888
Al-Debei, M., Akroush, M., & Ashouri, M. (2015). Consumer attitudes towards online shopping the effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707-733. https://doi.org/10.1108/IntR-05-2014-0146
Ali, H., Khan, E., & Ilahi, I. (2019). Environmental Chemistry and Ecotoxicology of Hazardous Heavy Metals: Environmental Persistence, Toxicity, and Bioaccumulation. Journal of Chemistry, 4, 1-14. https://doi.org/10.1155/2019/6730305
Armitage, C. J., & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: a meta-analytic review. The British journal of social psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939
Beneke, J., Greene, A., Lok, I., & Mallett, K. (2012). The influence of perceived risk on purchase intent – the case of premium grocery private label brands in South Africa. Journal of Product & Brand Management, 21(1), 4-14. https://doi.org/10.1108/10610421211203060
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238
Bhutto, M. H., Tariq, B., Azhar, S., Ahmed, K., Khuwaja, F. M., & Han, H. (2022). Predicting consumer purchase intention toward hybrid vehicles : testing the moderating role of price sensitivity. European Business Review, 34(1), 62-84. https://doi.org/10.1108/EBR-10-2019-0274
Bianchi, C., Andrews, L., Wiese, M., & Fazal e Hasan, S. M. (2017). Consumer intentions to engage in s-commerce: a cross-national study. Journal of Marketing Management, 33(4), 1-31. https://doi.org/10.1080/0267257X.2017.1319406
Chetioui, Y., Benlafqih, H., & Lebdaoui, H. (2020). How fashion influencers contribute to consumers' purchase intention. Journal of Fashion Marketing and Management, 24(3), 361-380. https://doi.org/10.1108/JFMM-08-2019-0157
Degirmenci, K., & Breitner, M. H. (2017). Consumer purchase intentions for electric vehicles: Is green more important than price and range?, Transportation Research Part D: Transport and Environment, 51, 250-260. https://doi.org/10.1016/j.trd.2017.01.001.
Duangekanong, S. (2023). Determining Behavioral Intention of Logistic and Distribution Firms to Use Electric Vehicles in Thailand. Journal of Distribution Science, 21(5), 31–41. https://doi.org/10.15722/JDS.21.05.202305.31
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. Addison-Wesley Publishing Co, Inc.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Fusheng, L. (2023, August 28). Electric vehicles in spotlight at 26th Chengdu Motor Show. China Daily. https://www.chinadaily.com.cn/a/202308/28/WS64ebf29aa31035260b81e821_1.html
Graham-Rowe, E., Jessop, D., & Sparks, P. (2014). Identifying motivations and barriers to minimising household food waste. Resources, Conservation and Recycling, 84, 15–23. https://doi.org/10.1016/j.resconrec.2013.12.005
Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis (6th ed.). Pearson Prentice Hall.
Hamzah, M. I., & Tanwir, N. S. (2021). Do pro-environmental factors lead to purchase intention of hybrid vehicles? The moderating effects of environmental knowledge, Journal of Cleaner Production, 279, 123643. https://doi.org/10.1016/j.jclepro.2020.123643.
Israel, G. D. (1992). Determining Sample Size. University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences.
Jiang, A. C., Zhong, Q., Wang, Y., Ao, Y. B., & Chen, C. (2021). Influencing factors of commercial energy consumption intention of rural residents: Evidence from rural Chengdu. Energies, 14(4), 1010.
Jing, P., Hao, H., Bin, R., Zhan, F. P., & Shi, Y. J. (2019). Exploring the factors affecting mode choice intention of autonomous vehicle based on an extended theory of planned behavior—A case study in China. Sustainability, 11(4), 1155.
Kosai, S., Matsui, K., Matsubae, K., Yamasue, E., & Nagasaka, T. (2021). Natural resource use of gasoline, hybrid, electric and fuel cell vehicles considering land disturbances. Resources, Conservation and Recycling, 166, 105256. https://doi.org/10.1016/j.resconrec.2020.105256
Kraft, P., Rise, J., Sutton, S., & Røysamb, E. (2005). Perceived difficulty in the theory of planned behaviour: Perceived behavioural control or affective attitude? British Journal of Social Psychology, 44(3), 479–496.
Li, W., Long, R., Chen, H., & Geng, J. (2017). A Review of Factors Influencing Consumer Intentions to Adopt Battery Electric Vehicles. Renew. Sustain. Energy Rev, 78(10), 318–328.
Liao, Y., Guo, H., & Liu, X. (2023). A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM. Sustainability, 15(15), 11825. http://dx.doi.org/10.3390/su151511825
Lim, S. M., & Chia, S. E. (2015). The prevalence of fatigue and associated health and safety risk factors among taxi drivers in Singapore. Singapore medical journal, 56(2), 92–97. https://doi.org/10.11622/smedj.2014169
Morganti, L., Pallavicini, F., Cadel, E., Candelieri, A., Archetti, F., & Mantovani, F. (2017). Gaming for Earth: Serious games and gamification to engage consumers in pro-environmental behaviours for energy efficiency. Energy Research & Social Science, 29, 95-102. https://doi.org/10.1016/j.erss.2017.05.001
Newton, J., Tsarenko, Y., Ferraro, C., & Sands, S. (2015). Environmental concern and environmental purchase intentions: The mediating role of learning strategy. Journal of Business Research, 68(9), 1974-1981. https://doi.org/10.1016/j.jbusres.2015.01.007
Ng, S. I., Ho, J. A., Lim, X. J., Chong, K. L., & Latiff, K. (2021). Mirror, mirror on the wall, are we ready for Gen-Z in marketplace? A study of smart retailing technology in Malaysia. Young Consumers, 22(1), 68–89.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Pedroso, R., Zanetello, L., Guimaraes, L., Pettenon, M., Goncalves, V., Scherer, J., Kessler, F., & Pechansky, F. (2016). Confirmatory factor analysis (CFA) of the crack use relapse scale (CURS). Archives of Clinical Psychiatry, 43(3), 37-40. https://doi.org/10.1590/0101-60830000000081
Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6), e04284. https://doi.org/10.1016/j.heliyon.2020.e04284
Potoglou, D., & Kanaroglou, P. (2007). Household demand and willingness to pay for clean vehicles. Transportation Research Part D: Transport and Environment, 12(4), 264-274. https://doi.org/10.1016/j.trd.2007.03.001
Roland, I. (2023, May 23). Global EV Sales 2022 EV-Volumes. https://www.ev-volumes.com/country/total-world-plug-in-vehicle-volumes/
Schiffman, L. G., & Kanuk, L. L. (2007). Consumer Behavior (9th ed.). Prantice-Hall.
Shalender, K., & Sharma, N. (2021). Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India. Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 23(32), 665-681,
Sharma, S., Pradhan, K., Satya, S., & Vasudevan, P. (2005). Potentiality of earthworms for waste management and in other uses- a review. Journal of American Science, 1(1), 4-16.
Sica, C., & Ghisi, M. (2007). The Italian versions of the Beck Anxiety Inventory and the Beck Depression Inventory-II: Psychometric properties and discriminant power. In M. A. Lange (Ed.), Leading-edge psychological tests and testing research (pp. 27–50). Nova Science Publishers.
Swan, J. E., Trawick, I., & Silva, D. W. (1985). How industrial salespeople gain customer trust. Industrial Marketing Management, 14, 203-211. http://dx.doi.org/10.1016/0019-8501(85)90039-2
Tu, J.-C., & Yang, C. (2019). Key Factors Influencing Consumers’ Purchase of Electric Vehicles. Sustainability, 11(14), 3863. http://dx.doi.org/10.3390/su11143863
Turiel & Antonio. (2022, January 5). The energy crisis in the world today: Analysis of the world energy outlook 2021. IEA World Energy. https://digital.csic.es/handle/10261/ 268266
Tweephoncharoen, J., & Vongurai, R. (2020). The Factors Influencing on Purchase Intention of Thai and Chinese Customers Towards the Hotel Industry in Bangkok, Thailand. AU-GSB E-JOURNAL, 12(2), 35-39.
Wang, Y., Wiegerinck, V., Krikke, H., & Zhang, H. (2013). Understanding the purchase intention towards remanufactured product in closed-loop supply chains an empirical study in China. International Journal of Physical Distribution & Logistics Management, 43(10), 866–888.
Wu, J. H., & Wang, Y. M. (2006). Measuring KMS Success: A Respecification of the DeLone and McLean’s Model. Journal of Information & Management, 43(6), 728-739. http://dx.doi.org/10.1016/j.im.2006.05.002
Wu, S.-I., & Wu, Y.-C. (2014). The influence of enterprisers’ green management awareness on green management strategy and organizational performance. International Journal of Quality & Reliability Management, 31(4), 455–476.
Yadav, R., & Pathak, G. S. (2016). Young Consumers’ Intention towards Buying Green Products in a Developing Nation: Extending the Theory of Planned Behavior. Journal of Cleaner Production, 135, 732-739. https://doi.org/10.1016/j.jclepro.2016.06.120
Yan, Q. Y., Qin, G. Y., Zhang, M. J., & Xiao, B. W. (2019). Research on real purchasing behavior analysis of EVs in Beijing based on structural equation modeling and multinomial logit model. Sustainability, 20(11), 5870.
Yang, C., Tu, J. C., & Jiang, Q. (2020). The influential factors of consumers’ sustainable consumption: A case on EVs in China. Sustainability, 12(8), 3496.
Yeğin, T., & Muhammad, I. (2022). Analysis of consumers’ EV purchase intentions: An expansion of the theory of planned behavior. Sustainability, 14(19), 12091.