Spatial distribution patterns and influencing factors of China's new energy vehicle industry

中国 分布(数学) 经济地理学 空间分布 可持续发展 业务 三角洲 地理 运输工程 区域科学 工程类 遥感 数学分析 航空航天工程 考古 数学 法学 政治学
作者
Li Cao,Feng Deng,Chengfeng Zhuo,Yunyan Jiang,Zhengbo Li,Huachao Xu
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:379: 134641-134641 被引量:33
标识
DOI:10.1016/j.jclepro.2022.134641
摘要

New energy vehicles (NEVs) have been recognized as a sustainable eco-innovation to address China's energy and environment problems. As a strategically emerging industry, China's NEV manufacturing industry has been prioritized by governments and manufacturers, significantly impacting its spatial distribution pattern and stimulating the goals of carbon peaking and carbon neutralization. China, the largest NEV producer and consumer and with distinctive regional diversity, has experienced a new round of capacity expansion. Therefore, the literature on the spatial distribution patterns and influencing factors of NEV industry in provincial level is vital for the transformation of manufacturing industry and transportation sector, while to date, the related studies is few. In this paper, considering the number and location of key enterprises/production bases, the spatial distribution and influencing factors of China's NEV industry were discussed by an empirical study. The results are gained from a spatial perspective. Firstly, in general, China's NEV industry presents a “T” spatial distribution pattern. Secondly, a point-axle spatial exploration pattern is proposed, which includes “four points and one axle” namely Bohai rim, Yangtze River Delta (YRD), Pearl River Delta (PRD), Hubei-Chongqing clusters and Eastern Coastal NEV industrial belt. Thirdly, different types of NEV enterprises show various location preferences and spatial distribution characteristics. Fourthly, the influencing factors on China's NEV spatial distribution are concluded from five aspects of supporting policy, infrastructure condition, economic drivers, technical capacity, and industrial foundation, and the degree of factors is different considering varying enterprise classification and industrial development stage. The findings of this paper provide a reference for rational layout in China's NEV industry, and are expected to stimulate the sustainable development of NEVs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
安详的嵩发布了新的文献求助10
1秒前
斯文败类应助dongan采纳,获得10
3秒前
uzumay完成签到,获得积分10
3秒前
MMMar发布了新的文献求助10
3秒前
4秒前
jjj完成签到,获得积分10
4秒前
小园饼干发布了新的文献求助10
5秒前
zihanwang应助sherry采纳,获得10
6秒前
7秒前
麦子发布了新的文献求助10
8秒前
9秒前
10秒前
Rondab应助uzumay采纳,获得30
11秒前
三斤完成签到 ,获得积分10
11秒前
凌凌子完成签到 ,获得积分10
12秒前
13秒前
14秒前
14秒前
14秒前
ll发布了新的文献求助10
15秒前
插画想起发布了新的文献求助10
15秒前
嗯嗯发布了新的文献求助10
16秒前
18秒前
忧郁尔容发布了新的文献求助10
18秒前
luanzhaohui发布了新的文献求助10
19秒前
插画想起完成签到,获得积分20
21秒前
萄哥布鸽完成签到,获得积分10
22秒前
23秒前
充电宝应助Ammon采纳,获得10
23秒前
zozo发布了新的文献求助10
24秒前
沉默傲芙发布了新的文献求助10
25秒前
Jasper应助少吃一口采纳,获得10
25秒前
小静静发布了新的文献求助50
25秒前
hao253完成签到,获得积分10
25秒前
Catherine完成签到,获得积分10
25秒前
柳娅茹完成签到,获得积分20
26秒前
zlovej完成签到 ,获得积分10
27秒前
z7完成签到,获得积分10
27秒前
迦佭完成签到,获得积分10
27秒前
小新同学完成签到,获得积分10
28秒前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
Problems of point-blast theory 400
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
Novel Preparation of Chitin Nanocrystals by H2SO4 and H3PO4 Hydrolysis Followed by High-Pressure Water Jet Treatments 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3998622
求助须知:如何正确求助?哪些是违规求助? 3538115
关于积分的说明 11273407
捐赠科研通 3277045
什么是DOI,文献DOI怎么找? 1807368
邀请新用户注册赠送积分活动 883854
科研通“疑难数据库(出版商)”最低求助积分说明 810070