已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Study on factors influencing carbon dioxide emissions and carbon peak heterogenous pathways in Chinese provinces

二氧化碳 环境科学 温室气体 碳纤维 环境保护 自然资源经济学 环境规划 生态学 生物 经济 计算机科学 算法 复合数
作者
Runpu Liu,Yanru Fang,Shuan Peng,Nihed Benani,Xuefang Wu,Yushuo Chen,Tao Wang,Qimin Chai,Pingjian Yang
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:365: 121667-121667 被引量:38
标识
DOI:10.1016/j.jenvman.2024.121667
摘要

Implementing a Carbon Peak Action Plan at the regional level requires comprehensive consideration of the developmental heterogeneity among different provinces, which is an effective pathway for China to realize the goal of carbon peak by 2030. However, there is currently no clear provincial roadmap for carbon peak, and existing studies on carbon peak pathways inadequately address provincial heterogeneity. Therefore, this paper employs the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to decompose assess 8 factors influencing carbon emissions of 30 provinces. According to scenario analysis, the paper explores the differentiated pathways for provincial carbon peaks based on policy expectation indicators (including population, economy, and urbanization rate) and comprises policy control indicators (including the energy structure, energy efficiency, industrial structure, transportation structure, and innovation input). The results indicate that population, per capita GDP, urbanization rate, and innovation input are the primary factors for influencing (negatively) the growth of carbon emissions. In contrast, the optimization and upgrading of the industrial structure, energy intensity, energy structure, and transportation structure have mitigating effects on carbon emissions, especially for the first two factors. The forecasting results reveal that robust regulations of the energy and industry can effectively accelerate carbon peak at a reduced magnitude. If developed at BAU, China cannot achieve carbon peak by 2030, continuing an upward trend. However, by maximizing the adjustment strength of energy and industrial transformation within the scope of provincial capabilities, China could achieve carbon peak as early as 2025, with a peak of 12.069 billion tons. In this scenario, 24 provinces could achieve carbon peak before 2030. Overall, this study suggests the feasibility of differentiated pathway to achieve carbon peaks in China, exploring the carbon peak potential and paths of 30 provinces, and identifying provinces where carbon peak is more challenging. It also provides a reference for the design of carbon peak roadmaps at both provincial and national levels and offers targeted recommendations for the implementation of differentiated policy strategies for the government.
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
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
you完成签到,获得积分20
1秒前
苗条白枫完成签到 ,获得积分10
1秒前
充电宝应助coozrasimon采纳,获得200
1秒前
shelly完成签到,获得积分10
3秒前
学习学习学习完成签到 ,获得积分10
4秒前
4秒前
麦克斯韦妖完成签到 ,获得积分10
5秒前
科研通AI6.4应助ozbear采纳,获得10
6秒前
lwl发布了新的文献求助10
11秒前
Leofar完成签到 ,获得积分10
11秒前
Lucas应助orange采纳,获得10
13秒前
13秒前
you关注了科研通微信公众号
15秒前
领导范儿应助榴莲嘎嘎采纳,获得30
15秒前
Boro发布了新的文献求助10
17秒前
chen完成签到 ,获得积分10
19秒前
太阳烛照完成签到 ,获得积分10
19秒前
乐乐应助zy采纳,获得10
19秒前
20秒前
21秒前
uranus完成签到,获得积分10
22秒前
Jasper应助机械腾采纳,获得10
24秒前
SciGPT应助lwl采纳,获得10
26秒前
26秒前
华仔应助阳光碧采纳,获得10
26秒前
27秒前
自然的绮山完成签到,获得积分10
29秒前
单纯清完成签到 ,获得积分10
30秒前
jjj完成签到,获得积分10
31秒前
Laurel发布了新的文献求助10
32秒前
sch发布了新的文献求助10
32秒前
33秒前
33秒前
Nnn发布了新的文献求助10
37秒前
斯文败类应助封号四犸采纳,获得80
37秒前
麦斯威尔完成签到,获得积分10
38秒前
笑点低忆之完成签到 ,获得积分10
39秒前
zy发布了新的文献求助10
40秒前
yiming完成签到,获得积分10
41秒前
43秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7711077
求助须知:如何正确求助?哪些是违规求助? 9267533
关于积分的说明 20066997
捐赠科研通 7287477
什么是DOI,文献DOI怎么找? 3297183
关于科研通互助平台的介绍 2451621
邀请新用户注册赠送积分活动 2304182