Synergy of pollution control and carbon reduction in China: Spatial–temporal characteristics, regional differences, and convergence

趋同(经济学) 中国 生态文明 污染 地理 空间分析 联轴节(管道) 经济地理学 环境科学 生态学 经济增长 经济 遥感 材料科学 生物 考古 冶金
作者
Changfei Nie,Chien‐Chiang Lee
出处
期刊:Environmental Impact Assessment Review [Elsevier]
卷期号:101: 107110-107110 被引量:132
标识
DOI:10.1016/j.eiar.2023.107110
摘要

Promoting the synergy of pollution control (PC) and carbon reduction (CR) is an important strategy for ecological civilization construction in China. Based on constructing a measuring system for PC and CR respectively, we employ the coupling coordination model to determine the coupling coordination degree (CCD) between PC and CR in 30 Chinese provinces during 2006–2019, and analyze the spatial–temporal characteristics, regional differences, and convergence of the CCD between PC and CR from a dual perspective of east–west and south–north regional divisions. The results show that the average CCD between PC and CR increases from 0.8339 in 2006 to 0.8904 in 2019, suggesting that the two subsystems are in a well-coordinated stage. Moreover, China's CCD shows a “high in the east and low in the west, high in the south and low in the north” layout and exhibits a prominent spatial positive autocorrelation characteristic. Furthermore, the overall regional differences in the CCD of each province show an increasing trend initially, followed by a decreasing trend. The overall differences in east–west and south–north originate primarily from the cross-regional and within-regional difference, respectively. The results of the convergence model show that there is no σ convergence of China's CCD, while there exists β convergence in China and different regions. These findings provide empirical evidence and policy implications for facilitating the synergistic effect of PC and CR.
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
1秒前
1秒前
2秒前
Dsivan应助小鹿采纳,获得20
2秒前
monday发布了新的文献求助10
2秒前
田様应助wanghuan采纳,获得10
4秒前
SciGPT应助普鲁卡因采纳,获得10
4秒前
凯凯完成签到 ,获得积分10
5秒前
钦川发布了新的文献求助10
6秒前
完美世界应助loey采纳,获得10
6秒前
7秒前
甜滋滋发布了新的文献求助10
7秒前
Lesley完成签到,获得积分10
9秒前
10秒前
xiaofanwang完成签到,获得积分10
10秒前
12秒前
老温完成签到,获得积分10
12秒前
Regina完成签到 ,获得积分10
12秒前
12秒前
夏侯凌寒完成签到,获得积分10
14秒前
充电宝应助123采纳,获得10
14秒前
xkyasc发布了新的文献求助10
14秒前
懵懂的白凝完成签到,获得积分10
14秒前
甜甜剑成发布了新的文献求助10
15秒前
曾经耳机发布了新的文献求助50
16秒前
18秒前
大个应助元宝团子采纳,获得10
18秒前
李健的小迷弟应助葛哥哥采纳,获得10
20秒前
20秒前
21秒前
务实碧空完成签到,获得积分10
21秒前
SMAD1发布了新的文献求助10
22秒前
22秒前
25秒前
25秒前
Lesley发布了新的文献求助10
26秒前
26秒前
27秒前
27秒前
sbsbsbob完成签到,获得积分10
27秒前
高分求助中
Востребованный временем 2500
Injection and Compression Molding Fundamentals 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Mantids of the euro-mediterranean area 600
The Oxford Handbook of Educational Psychology 600
Mantodea of the World: Species Catalog Andrew M 500
Insecta 2. Blattodea, Mantodea, Isoptera, Grylloblattodea, Phasmatodea, Dermaptera and Embioptera 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 基因 遗传学 化学工程 复合材料 免疫学 物理化学 细胞生物学 催化作用 病理
热门帖子
关注 科研通微信公众号,转发送积分 3422515
求助须知:如何正确求助?哪些是违规求助? 3022733
关于积分的说明 8902510
捐赠科研通 2710194
什么是DOI,文献DOI怎么找? 1486341
科研通“疑难数据库(出版商)”最低求助积分说明 687038
邀请新用户注册赠送积分活动 682261