基于PLS-SEM模型的新能源汽车接收模型
Jing Liu1,2, Nan Zhang1, Yifan Yang1
1Economics and Management Institute, Xinjiang University, Urumqi, 830046, China.
Heliyon
|May 6, 2024
概括
中国的新能源汽车 (NEV) 采用受到经济因素和基础设施的影响. 公众接受与感知风险,车辆质量和理解有关,而不是成本.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 运输工程 运输工程
背景情况:
- 全球能源危机和中国的碳减排目标需要可持续的运输解决方案.
- 新能源汽车 (NEV) 提供了一条解决能源短缺,污染和全球变暖的途径.
- 2022年,中国的新能源汽车透率为19.1%,这表明有很大的增长空间.
研究的目的:
- 分析影响中国269个城市新能源汽车普及率的因素.
- 调查新疆维吾尔自治区公众接受新能源汽车的情况.
- 确定NEV采用的关键驱动因素和障碍.
主要方法:
- 地理探测器分析以确定影响NEV透率的重要因素.
- 调查问卷调查以衡量公众对新能源汽车的接受度.
- 部分最小平方结构方程建模 (PLS-SEM) 用于回归分析.
主要成果:
- 经济发展,温度差异,充电基础设施密度,充电价格和人口密度显著影响NEV透.
- 性别,年龄和教育水平等人口因素影响NEV的接受.
- 感知到的风险与接受有负相关性,而车辆质量,公众理解和主观规范则则有积极相关性. 感知成本并不显著.
结论:
- 有针对性的政府推广和加速充电基础设施的发展对于新能源汽车的采用至关重要.
- 解决感知到的风险,提高车辆质量和公众的理解是增加新能源汽车接受度的关键.
- 政策干预应考虑区域经济差异和人口特征,以提高新能源汽车的市场份额.
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