The Impact of the Development Trend and Policy Optimiza-tion of NEV on Guizhou Consumers' Usage Behavior Based on Its Natural Environment
DOI:
https://doi.org/10.70062/managementdynamics.v2i4.406Keywords:
Consumer Behavior, Guizhou, Natural Environment, Social Influence, Trend and Policy OptimizationAbstract
The Impact of Development Trends and Policy Optimization of New Energy Vehicles (NEVs) on Consumer Usage Behavior in Guizhou explores the relationship between the evolving landscape of NEVs and consumer behavior in Guizhou, with a strong emphasis on environmental con-siderations. It argues that as consumers become more aware of environmental issues, their willingness to adopt NEVs increases, influenced by both government policies and social factors. The study highlights how effective policy optimization—such as financial incentives and educational initiatives—can enhance the adoption of NEVs. Additionally, it underscores the role of social influence in shaping consumer at-titudes and behaviors toward sustainable transportation. By examining these dynamics within the context of Guizhou's natural environment, the research provides valuable insights into creating a more sustainable transportation framework that aligns with both consumer preferences and ecological goals, based on a sample of 390 consumers.
References
Arundati, R., Sutiono, H. T., and Suryono, I. A. (2020). Effect of ecological awareness, personal norms, and ecological attitude on conservation behavior. Proc. Eng. Sci. 2, 187–196.
Chao, W., Yao, X., Sinha, P., and Su, H. (2022). Why do government policy and environmental awareness matter in predicting NEVs’ purchase intention? ResearchGate., 131(4), 103-119.
Chen, Pei., Selamat, Mohmaad-Hisyam., and Lee, S.-N. (2025). The Impact of Policy Incentives on the Purchase of Electric Vehicles by Consumers in China’s First-Tier Cities: Moderate-Mediate Analysis. Sustainability., 17(12), 5319.
Gnann, T. et al. (2018). What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models, Renewable and Sustainable Energy Reviews. Elsevier Ltd, 93, 158–164.
Hagger, M. S., and Hamilton, K. (2021). Effects of socio-structural variables in the theory of planned behavior: A mediation model in multiple samples and behaviors. Psychology & Health, 36(3), 307–333.
Kumar, V., & Hundal, B. S. . (2019). ‘Factors affecting consumer buying behaviour of solar water pumping system’,. 8(4), 351–364.
Lampo, A., and Silva, S. (2022). How Social Influence and Image Impact on the Intention to Use a Technology: A Study from the Battery Electric Vehicle Domain. ICEME, 11(23), 223–241.
Li, Jingjing, Jianling Jiao, Yuwen Xu, and C. C. (2021). Impact of the Latent Topics of Policy Documents on the Promotion of New Energy Vehicles: Empirical Evidence from Chinese Cities. Sustainable Production and Consumption, 28, 637–647.
Lin, Boqiang, and W. W. (2021). The Impact of Electric Vehicle Penetration: A Recursive Dynamic CGE Analysis of China. Energy Economics, 94, 105086.
Liu, R.; Ding, Z.; Wang, Y.; Jiang, X.; Jiang, X.; Sun, W.; Wang, D.; Mou, Y.; Liu, M. (2020). The relationship between symbolic meanings and adoption intention of electric vehicles in China: The moderating effects of consumer self-identity and face consciousness. J. Clean. Prod., 288, 125-116.
Liu, X., Jiang, C., Wang, F., and Yao, S. (2021). The impact of high-speed railway on urban housing prices in China: A network accessibility perspective. Transportation Research Part A: Policy and Practice., 152, 84-99.
Liu, X., Xie, F., Wang, H., and Xue, C. (2021). The impact of policy mixes on new energy vehicle diffusion in China. National Library of Medicine, 23(5), 1457–1474.
Moons, Ingrid., and Pelsmacker, P. (2015). An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison. Sustainability, 7(5), 6212-6245.
Pan, Ruoxi., Liang, Yiping., Li, Yifei., Zhou, Kai., and Miao, J. (n.d.). Environmental and Health Benefits of Promoting New Energy Vehicles: A Case Study Based on Chongqing City. Sustainability, 15(12), 9257.
Shah, S., and Asghar, Z. (2023). Dynamics of social influence on consumption choices: A social network representation. Heliyon. J, 9(6), 112-127.
Sun, Zhiyou, and Lee, B. (2024). Exploring Factors Influencing Electric Vehicle Purchase Intentions through an Extended Technology Acceptance Model. MDPI., 6(3), 1513-1544.
Wang, Z., Ma, Y., Wang, S., and Luo, C. (2023). The Evolution of the Collaborative Environmental Governance Network in Guizhou Province, China. Sus-Tainability, 15(3), 100–112.
Yang, Tong, Ziwei Yuan, and C. X. (2022). Research on China’s Fiscal and Taxation Policy of New Energy Vehicle Industry Technological Innovation.” Economic Research- Ekonomska Istraživanja 36, no. 2. Hu, Shimin, Zhihui Liu, Yongshi Tan, Xi Cheng, Zijian Chen, and Zhuoming Long. ( “The Status Quo . Energy Reports, 8 (Novembe, 63–80.
Yoon, Y., Chu, T., and Hu, E. (2022). The Effect of Marketing Activities on Web Search. Volume: An Empirical Analysis of Chinese Film Industry Data, Appl. Sci.
Zhao, Y., Hu, Y., and Gong, J. Y. (2021). Research on domestic standardization of software quality and software testing. Standard Science., 11(4), 25–31.
Zuo, Wenchao, Yueqing Li, and Y. W. (2019). Research on the Optimization of New Energy Vehicle Industry Research and Development Subsidy about Generic Technology Based on the Three-Way Decisions. Journal of Cleaner Production, 212, 46–55.
