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长江经济带城镇化与碳排放的时空耦合演进

Spatio-Temporal Coupling Evolution of Urbanisation and Carbon Emission in the Yangtze River Economic Belt.

机构信息

School of Computer Science and Technology, Zhejiang Normal University, Jinhua 321004, China.

School of Management, Tianjin University of Technology, Tianjin 300384, China.

出版信息

Int J Environ Res Public Health. 2023 Mar 2;20(5):4483. doi: 10.3390/ijerph20054483.

DOI:10.3390/ijerph20054483
PMID:36901495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10002087/
Abstract

The distribution characteristics of urbanisation level and per capita carbon emissions from 2006 to 2019 were investigated by the ranking scale rule, using 108 cities in the Yangtze River Economic Belt of China. A coupling coordination model was established to analyse the relative development relationship between the two, and exploratory spatial-temporal data analysis (ESTDA) was applied to reveal the spatial interaction characteristics and temporal evolution pattern of the coupling coordination degree. The results demonstrate that: (1) The urbanisation level and per capita carbon emissions of the Yangtze River Economic Belt show a stable spatial structure of 'high in the east and low in the west'. (2) The coupling and coordination degree of urbanisation level and carbon emissions show a trend of 'decreasing and then increasing', with a spatial distribution of 'high in the east and low in the west'. (3) The spatial structure exhibits strong stability, dependence, and integration. The stability is enhanced from west to east, the coupling coordination degree has strong transfer inertia, and the spatial pattern's path dependence and locking characteristics show a trend of weak fluctuation. Therefore, the coupling and coordination analysis is required for the coordinated development of urbanisation and carbon emission reduction.

摘要

利用中国长江经济带的 108 个城市,通过排名尺度规则研究了城市化水平和人均碳排放从 2006 年到 2019 年的分布特征。建立了耦合协调模型来分析两者的相对发展关系,并应用探索性空间时空数据分析(ESTDA)揭示了耦合协调度的空间相互作用特征和时间演变模式。结果表明:(1)长江经济带的城市化水平和人均碳排放呈现出“东部高、西部低”的稳定空间结构。(2)城市化水平和碳排放的耦合协调度呈“先降后升”趋势,空间分布呈“东高西低”。(3)空间结构表现出较强的稳定性、依赖性和整体性。稳定性从西向东增强,耦合协调度具有较强的转移惯性,空间格局的路径依赖性和锁定特征呈现出弱波动的趋势。因此,需要对城市化和减排的协调发展进行耦合协调分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/639ebcc05772/ijerph-20-04483-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/530a8c139764/ijerph-20-04483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/e59460ceb279/ijerph-20-04483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/84c49f944ab1/ijerph-20-04483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/2766c579565a/ijerph-20-04483-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/b4261d7410c9/ijerph-20-04483-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/639ebcc05772/ijerph-20-04483-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/530a8c139764/ijerph-20-04483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/e59460ceb279/ijerph-20-04483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/84c49f944ab1/ijerph-20-04483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/2766c579565a/ijerph-20-04483-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/b4261d7410c9/ijerph-20-04483-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6750/10002087/639ebcc05772/ijerph-20-04483-g006.jpg

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