Do green consumption behaviors contribute to decoupling economic growth from carbon emission? A comparative study on China, the United States, the European Union, and India

解耦(概率) 欧洲联盟 温室气体 中国 自然资源经济学 经济 消费(社会学) 索引(排版) 人口 实证研究 环境科学 碳纤维 人口增长 环境保护 能源消耗 低碳经济 经验证据 农业经济学 面板数据 业务 经济增长 国际经济学
作者
Manman Ge,Cisheng Wu,Kexin Zhang,Teng Liu
出处
期刊:Energy & Environment [SAGE Publishing]
标识
DOI:10.1177/0958305x251401166
摘要

Predicting carbon emissions and examining their decoupling from economic growth are important global issues. This study constructs a Tapio decoupling index model based on green consumption behaviors, focusing on China, the United States, the European Union, and India as research subjects, and forecasts carbon emissions and their potential decoupling from economic growth in these countries and regions from 2023 to 2050 through scenario analysis. This research shows the following. (1) Green consumption behaviors significantly influence carbon decoupling in China, the United States, the European Union, and India, particularly under low- and medium-speed development scenarios. They contribute positively to achieving a strong decoupling between carbon emissions and economic growth. (2) The growth rates of carbon emissions in China and India are significantly slower under the low- and medium-speed development scenarios than under the high-speed scenarios. Meanwhile, the United States and European Union exhibit different carbon emission characteristics under various development scenarios, but with an overall declining trend. (3) The empirical results, based on historical data, demonstrate that green consumption behaviors in China and India significantly inhibit carbon emissions driven by population growth, whereas they do not have a significant impact in the United States and the European Union. This study provides references for the formulation of regional policies and national strategies aimed at achieving dual carbon goals.
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
默成发布了新的文献求助10
刚刚
Yi驳回了大个应助
刚刚
研友_VZG7GZ应助行楽采纳,获得10
1秒前
2秒前
3秒前
烁烁发烫完成签到,获得积分20
5秒前
5秒前
大个应助浅忆采纳,获得10
6秒前
萌~Lucky完成签到,获得积分10
7秒前
冷傲紫寒发布了新的文献求助10
7秒前
zhangxirui完成签到,获得积分10
7秒前
SciGPT应助jiangjiahao采纳,获得10
7秒前
8秒前
wmq发布了新的文献求助10
8秒前
8秒前
8秒前
小猴子发布了新的文献求助10
9秒前
张思成发布了新的文献求助10
9秒前
李健的小迷弟应助sunshine采纳,获得10
9秒前
10秒前
11秒前
典雅尔曼完成签到,获得积分10
11秒前
爱吃菠萝完成签到,获得积分20
11秒前
zhou发布了新的文献求助10
12秒前
12秒前
12秒前
秋风应助TANGchenran采纳,获得10
13秒前
luna发布了新的文献求助30
13秒前
科研通AI6.4应助汪思显采纳,获得10
14秒前
超级桂花糕完成签到 ,获得积分10
14秒前
大模型应助怕孤独的尔安采纳,获得30
14秒前
YJDlXX发布了新的文献求助10
15秒前
15秒前
铭铭小馒馍完成签到 ,获得积分10
15秒前
啵啵发布了新的文献求助10
16秒前
Hello应助张思成采纳,获得10
16秒前
16秒前
爱吃菠萝发布了新的文献求助10
17秒前
霖lin发布了新的文献求助10
17秒前
搜集达人应助毛毛女士采纳,获得10
17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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7765161
求助须知:如何正确求助?哪些是违规求助? 9309488
关于积分的说明 20311129
捐赠科研通 7349938
什么是DOI,文献DOI怎么找? 3314730
关于科研通互助平台的介绍 2464132
邀请新用户注册赠送积分活动 2329189