亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Unequal transfer and its policy implications of carbon emissions and economic benefits embodied among Central Plains urban agglomeration

集聚经济 自然资源经济学 城市群 经济地理学 经济 碳纤维 温室气体 环境科学 经济增长 生态学 材料科学 复合数 复合材料 生物
作者
Shuan Peng,Min Chen,Zefeng Qi,Nihed Benani,Tao Wang,Xuefang Wu,Xi Cheng,Jian Lin Chen,Guozhu Mao,Pingjian Yang
出处
期刊:urban climate [Elsevier BV]
卷期号:54: 101858-101858 被引量:1
标识
DOI:10.1016/j.uclim.2024.101858
摘要

Tracing the carbon emissions and economic benefits embodied in trade is crucial for the equitable allocation of mitigation responsibilities, particularly among cities in China, where studies on this topic are lacking. Therefore, this study selected the Central Plains Urban Agglomeration (CPUA) as a representative region. It compiled carbon emissions inventories following the 2006 IPCC guidelines and employed the multi-regional input-output model to investigate the trade-attributed embodied carbon emissions and value-added. Additionally, it estimated the unequal transfers of these emissions and value-added by introducing the City Carbon Emissions Inequality index (CCEI). The results indicate that the CPUA received net carbon emissions of 454.99 and 330.95 Mt. from outside regions from 2012 to 2017. Nearly half of the territorial carbon emissions were driven by the consumption of other cities, and Zhengzhou and its surrounding cities transferred the most carbon emissions to the outer-ring cities by consuming the primary products produced in these cities. The construction sector was the largest exporter of both embodied emissions and economic benefits, while the energy and service industries were the largest importers of carbon emissions and economic benefits. Such imbalanced transfers contributed to carbon inequality, with the CCEI mean increasing from 0.31 to 0.38 for the exacerbation of intercity imbalances in development. Significant carbon inequality occurred between Zhengzhou and its upstream cities, e.g., Luoyang and Shangqiu, and among some neighboring cities, e.g., Yuncheng-Jincheng and Luoyang-Jiyuan. Our findings provide evidence of a need for compensation mechanisms and collaborative strategies for carbon mitigation in the urban agglomeration.

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
花深粥完成签到 ,获得积分10
3秒前
感动薯片发布了新的文献求助10
4秒前
大刘大刘泊完成签到 ,获得积分10
5秒前
CodeCraft应助胖虎啊采纳,获得10
6秒前
852应助留胡子的不尤采纳,获得10
8秒前
欧皇发布了新的文献求助10
9秒前
9秒前
10秒前
咸鱼完成签到,获得积分10
12秒前
Arjun发布了新的文献求助10
12秒前
12秒前
胖虎啊发布了新的文献求助10
16秒前
热心访琴完成签到,获得积分10
16秒前
17秒前
上官若男应助无为采纳,获得10
19秒前
19秒前
atting完成签到,获得积分10
20秒前
20秒前
21秒前
黎娅完成签到 ,获得积分10
22秒前
23秒前
等等发布了新的文献求助10
23秒前
26秒前
26秒前
小马甲应助科研通管家采纳,获得10
27秒前
爆米花应助科研通管家采纳,获得10
27秒前
田様应助科研通管家采纳,获得10
27秒前
共享精神应助科研通管家采纳,获得10
27秒前
hewd3发布了新的文献求助10
27秒前
28秒前
悦耳冰香完成签到,获得积分10
28秒前
DKJ应助欧皇采纳,获得10
28秒前
耍酷曲奇发布了新的文献求助10
31秒前
自由的雨柏完成签到 ,获得积分10
34秒前
留胡子的不尤完成签到,获得积分20
36秒前
SciGPT应助开朗的蚂蚁采纳,获得10
36秒前
37秒前
背星星的水獭完成签到,获得积分10
38秒前
21完成签到 ,获得积分10
38秒前
慕青应助混吃等死研究生采纳,获得10
39秒前
高分求助中
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Writing Systems 500
Understanding Modeling and Simulation of Polymerization Reactions 400
Invited Discussant 63O and 64O 400
A revision of Limenitis helmanni and its related species (Nymphalidae) from Central and South China 400
Direct and Iterative Linear System Solvers 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6824912
求助须知:如何正确求助?哪些是违规求助? 8537292
关于积分的说明 18170018
捐赠科研通 6161197
什么是DOI,文献DOI怎么找? 3034647
关于科研通互助平台的介绍 2015830
邀请新用户注册赠送积分活动 2011580