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基于偏最小二乘结构方程模型(PLS-SEM)的新能源汽车接受度模型

Acceptance model of new energy vehicles based on PLS-SEM model.

作者信息

Liu Jing, Zhang Nan, Yang Yifan

机构信息

Economics and Management Institute, Xinjiang University, Urumqi, 830046, China.

Macroeconomic High-quality Development Research Center, Xinjiang University, Urumqi, 830046, China.

出版信息

Heliyon. 2024 Apr 26;10(9):e30350. doi: 10.1016/j.heliyon.2024.e30350. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e30350
PMID:38707362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11068814/
Abstract

The current energy crisis is worsening worldwide, and in China, urban expansion and per capita vehicle ownership have created a growing energy imbalance and increased pressure to reduce carbon emissions.The popularization of new energy vehicles (NEVs) can provide a step forward to solving energy shortage problems, environmental pollution, and global warming. In 2022, the average penetration rate, which is ratio of new energy vehicle sales to vehicle sales, is just 19.1 %. This paper analysed the reasons for the differences in the penetration rates of new energy vehicles in China's 269 prefecture-level cities, using a Geo Detector approach, and the results showed that the level of economic development, the average annual temperature difference, the density of charging piles, the charging price and the number of population all had significant effects(q>0.12) on the penetration rate. Based on the above studies, a questionnaire was used to investigate the public's acceptance of new energy vehicles in Xinjiang Uygur Autonomous Region, and a PLS-SEM regression analysis was conducted. The results showed that men, young people and people with a certain level of basic education were 5 % more likely to accept new energy vehicles.Unlike previous studies, perceived cost had no significant correlation with the acceptance of new energy vehicles. Perceived risk had a significant negative correlation with the acceptance of new energy vehicles,the path coefficient is -0.1.The acceptance of new energy vehicles was significantly and positively correlated with vehicle quality and service, the public's understanding of new energy vehicles, and subjective norms, their average path coefficients are above 0.1. We argues that the government should maintain a certain level of promotion of new energy vehicles and accelerate the construction of charging piles, based on the aforementioned results.

摘要

当前,全球能源危机日益严峻,在中国,城市扩张和人均汽车保有量的增加导致能源失衡加剧,碳排放减排压力增大。新能源汽车的普及有助于解决能源短缺、环境污染和全球变暖等问题。2022年,新能源汽车销量占汽车总销量的平均渗透率仅为19.1%。本文运用地理探测器方法分析了中国269个地级市新能源汽车渗透率差异的原因,结果表明,经济发展水平、年均温差、充电桩密度、充电价格和人口数量对渗透率均有显著影响(q>0.12)。基于上述研究,通过问卷调查了新疆维吾尔自治区公众对新能源汽车的接受程度,并进行了PLS-SEM回归分析。结果显示,男性、年轻人和具有一定基础教育水平的人群接受新能源汽车的可能性高5%。与以往研究不同的是,感知成本与新能源汽车的接受程度没有显著相关性。感知风险与新能源汽车的接受程度呈显著负相关,路径系数为-0.1。新能源汽车的接受程度与车辆质量和服务、公众对新能源汽车的了解程度以及主观规范显著正相关,它们的平均路径系数均高于0.1。基于上述结果,我们认为政府应保持对新能源汽车的一定推广力度,并加快充电桩建设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/c406d37808b7/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/2c0543a700f1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/5078a1379d8d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/01f100e58799/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/96703cb33f34/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/13f983f95dca/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/c406d37808b7/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/2c0543a700f1/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/5078a1379d8d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/01f100e58799/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/96703cb33f34/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/13f983f95dca/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7263/11068814/c406d37808b7/gr6.jpg

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本文引用的文献

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Can the Exemption of the New Energy Vehicle Purchase Tax Policy Induce Technological Innovation of Automobile Companies?新能源汽车购置税政策优惠能否引致汽车企业技术创新?
Environ Sci Pollut Res Int. 2023 Sep;30(45):101669-101680. doi: 10.1007/s11356-023-29489-3. Epub 2023 Sep 1.
3
How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model.
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Energy (Oxf). 2021 Sep 1;230:120899. doi: 10.1016/j.energy.2021.120899. Epub 2021 May 11.
4
Research on the promotion of new energy vehicles based on multi-source heterogeneous data: consumer and manufacturer perspectives.基于多源异质数据的新能源汽车推广研究:消费者和制造商视角。
Environ Sci Pollut Res Int. 2023 Mar;30(11):28863-28873. doi: 10.1007/s11356-022-24304-x. Epub 2022 Nov 19.
5
Extending Theory of Planned Behavior to Understand Service-Oriented Organizational Citizen Behavior.扩展计划行为理论以理解面向服务的组织公民行为。
Front Psychol. 2022 Apr 8;13:839688. doi: 10.3389/fpsyg.2022.839688. eCollection 2022.
6
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AI Ethics. 2021;1(3):355-387. doi: 10.1007/s43681-021-00041-8. Epub 2021 Feb 26.
7
Research on the spatial association network structure for innovation efficiency of China's new energy vehicle industry and its influencing factors.中国新能源汽车产业创新效率的空间关联网络结构及其影响因素研究。
PLoS One. 2021 Aug 26;16(8):e0255516. doi: 10.1371/journal.pone.0255516. eCollection 2021.
8
Applying data mining techniques for technology prediction in new energy vehicle: a case study in China.应用数据挖掘技术进行新能源汽车技术预测:以中国为例。
Environ Sci Pollut Res Int. 2021 Dec;28(48):68300-68317. doi: 10.1007/s11356-021-15298-z. Epub 2021 Jul 16.
9
A study on evaluation and influencing factors of carbon emission performance in China's new energy vehicle enterprises.中国新能源汽车企业碳排放绩效评价及影响因素研究。
Environ Sci Pollut Res Int. 2021 Oct;28(40):57334-57347. doi: 10.1007/s11356-021-14730-8. Epub 2021 Jun 5.
10
The Theory of Planned Behavior: Selected Recent Advances and Applications.计划行为理论:近期精选进展与应用
Eur J Psychol. 2020 Aug 31;16(3):352-356. doi: 10.5964/ejop.v16i3.3107. eCollection 2020 Aug.