首页|长江中游城市群碳排放效率与产业结构优化的时空耦合分析

长江中游城市群碳排放效率与产业结构优化的时空耦合分析

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探究碳排放效率与产业结构优化之间的相互作用关系，为促进长江中游城市群低碳协同发展提供参考。本文采用非期望产出SBM模型测算 2010-2020 年长江中游城市群 31 个城市的碳排放效率，并运用耦合协调模型、空间自相关模型和灰色关联分析等方法，对碳排放效率与产业结构优化耦合协调发展的时空演变特征及影响因素进行分析。结果表明:(1)研究期间，长江中游城市群碳排放效率与产业结构优化的耦合协调度稳定在 0。505～0。522 之间，处于勉强协调状态，子城市群的耦合协调水平差异较大但均未突破初级协调界限;(2)长江中游城市群内部城市的耦合协调度分布不均衡，呈现环鄱阳湖城市群＞武汉城市圈＞环长株潭城市群的空间分布格局，2017-2020 年各城市间存在显著的空间集聚效应，且空间集聚程度在不断增强;(3)除科学技术预算支出外，其余指标因素与耦合协调度均具有强关联性，科技投入对碳排放效率与产业结构优化耦合协调发展的促进作用尚不明显。
On Spatio-temporal Coupling Analysis of Carbon Emission Efficiency and Industrial Structure Optimization in Urban Agglomeration of the Middle Reaches of the Yangtze River
Exploring the interaction between carbon emission efficiency and industrial structure optimization could provide a reference for promoting the low-carbon coordinated development of the middle reaches of the Yangtze River urban agglomeration.This paper used the undesirable output SBM model to calculate the carbon emission efficiency of 31 cities in the middle reaches of the Yangtze River urban agglomeration from 2010 to 2020.Besides,using the the coupling coordination model,spatial auto-regression model and grey relational analysis,it analyzed the spatio-temporal evolution characteristics and influencing factors of the coupling and coordination of carbon emission efficiency and industrial structure optimization.The results showed that:(1)During the research period,the coupling coordination degree of carbon emission efficiency and industrial structure optimization in the middle reaches of the Yangtze River urban agglomeration remained stable with the figure ranging from 0.505 to 0.522,a barely coordinated state but that of sub-city clusters had significant differences yet without breaking through the primary coordination limit;(2)The distribution of coupling coordination degrees among cities in the middle reaches of the Yangtze River urban agglomeration was uneven,presenting a spatial distribution pattern of Poyang Lake urban agglomeration＞Wuhan urban circle＞Chang-Zhu-Tan urban agglomeration.Between 2017 and 2020,there was a significant spatial agglomeration effect among the cities,and the degree of spatial agglomeration was constantly increasing;(3)Except for the expenditure of science and technology budget,other factors were strongly correlated with the coupling coordination degree.The promotion effect of technological investment on the coupling and coordination of carbon emission efficiency and industrial structure optimization was not yet apparent.

carbon emission efficiencyindustrial structure optimizationcoupling and coordinationspatio-temporal evolutionurban agglomeration in the middle reaches of the Yangtze River

张延飞、邵佳敏

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东华理工大学 理学院,江西 南昌 330013

江西生态文明建设制度研究中心,江西 南昌 330013

东华理工大学 地球科学学院,江西 南昌 330013

碳排放效率 产业结构优化 耦合协调 时空演变 长江中游城市群

国家自然科学基金东华理工大学研究生创新项目

71961001YC2022-s594

2024

10.3969/j.issn.1009-4210.2024.03.002

国土资源科技管理
国土资源部科技与国际合作司 成都理工大学

国土资源科技管理

CSTPCDCHSSCD
影响因子：0.519
ISSN：1009-4210
年,卷(期)：2024.41(3)
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