Unintended environmental gains: The impact of China-Europe Railway Express on carbon dioxide emissions in China

中国 二氧化碳 意外后果 自然资源经济学 温室气体 环境科学 业务 环境保护 经济 化学 地理 政治学 生态学 考古 有机化学 法学 生物
作者
Peiming He,Jiaming Zhang,Xuelu Xu,Chuan Lin,Chen Li-tai
出处
期刊:Transport Policy [Elsevier]
卷期号:153: 127-140 被引量:2
标识
DOI:10.1016/j.tranpol.2024.05.014
摘要

Climate change is a major environmental issue, while reducing carbon dioxide emissions is viewed as a vital measure against global warming. The CHINA RAILWAY Express (CRE) could attract or foster new export-oriented industries by generating new profitable export opportunities and enhancing access to European markets. This study focused on the unintended effect of the CRE policy on carbon dioxide emissions reduction, which stems from its promotion of industry development. We used the synthetic difference-in-differences approach to derive reliable estimation of the CRE's unintended low-carbon effect. After controlling for the influence of other emission sectors and other low-carbon policies, the estimated results indicate that the CRE only reduced carbon dioxide emissions in the 12 cities with regular CRE services. The unintended policy effect decreased carbon dioxide emissions, on average, by 9.18%. Further heterogeneous analysis shows that the CRE's effect is positively correlated with the numbers of CRE trains. Moreover, the CRE has a heterogeneous impact on high-carbon and low-carbon sectors. Because the CRE can promote the exports of low-carbon sectors to Europe rather than those of high-carbon sectors, the CRE has a prominent impact on reducing average carbon dioxide emissions and improving the industrial structure. Formal mechanism analysis confirms that the impact of the CRE on carbon dioxide emissions actually occurs through the mechanism of industrial structure upgrading. Our results reveal that the CRE has unintended environmental gains and offer insight for governments that hope to simultaneously reduce carbon dioxide emissions and promote economic growth.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
临时演员完成签到 ,获得积分10
1秒前
Ava应助nandi采纳,获得10
2秒前
科研通AI2S应助夜谈十记采纳,获得10
3秒前
花花发布了新的文献求助10
3秒前
卷卷完成签到,获得积分10
3秒前
赵哥完成签到 ,获得积分10
8秒前
Nabi完成签到 ,获得积分10
8秒前
MAYTALK完成签到,获得积分10
10秒前
10秒前
小Dannn啊完成签到,获得积分10
10秒前
秋雨发布了新的文献求助10
11秒前
龙龙ff11_完成签到,获得积分10
12秒前
12秒前
林lin完成签到,获得积分20
14秒前
14秒前
Amir发布了新的文献求助10
15秒前
childheart完成签到,获得积分10
16秒前
常小敏完成签到 ,获得积分10
16秒前
卡拉米发布了新的文献求助30
17秒前
zls0424158应助不冻泉的水采纳,获得30
18秒前
共享精神应助YIWENNN采纳,获得10
18秒前
18秒前
慕青应助科研通管家采纳,获得30
19秒前
FashionBoy应助科研通管家采纳,获得10
19秒前
saeda应助科研通管家采纳,获得10
19秒前
saeda应助科研通管家采纳,获得10
19秒前
啊桂应助科研通管家采纳,获得10
19秒前
科研通AI2S应助科研通管家采纳,获得10
19秒前
19秒前
19秒前
19秒前
19秒前
19秒前
Halo完成签到,获得积分10
19秒前
赵先森完成签到 ,获得积分10
20秒前
24秒前
25秒前
Owen应助wanhe采纳,获得10
27秒前
ss13l完成签到,获得积分10
27秒前
lili完成签到,获得积分10
28秒前
高分求助中
求助这个网站里的问题集 1000
Tracking and Data Fusion: A Handbook of Algorithms 1000
Models of Teaching(The 10th Edition,第10版!)《教学模式》(第10版!) 800
La décision juridictionnelle 800
Rechtsphilosophie und Rechtstheorie 800
Nonlocal Integral Equation Continuum Models: Nonstandard Symmetric Interaction Neighborhoods and Finite Element Discretizations 600
The risk of colorectal cancer in ulcerative colitis: a meta-analysis 500
热门求助领域 (近24小时)
化学 医学 材料科学 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 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2875293
求助须知:如何正确求助?哪些是违规求助? 2486241
关于积分的说明 6732238
捐赠科研通 2169904
什么是DOI,文献DOI怎么找? 1152776
版权声明 585892
科研通“疑难数据库(出版商)”最低求助积分说明 565908