黄河流域新型城镇化空间关联网络的减污降碳效应研究OA
Research on the reduction effects on pollution and carbon emissions in the spatial correlation network of new-type urbanization in the Yellow River Basin
黄河流域面临城镇化进程中污染与碳排放双重挑战.为探究新型城镇化空间网络对流域减污降碳的影响与机制,本文基于 2010-2022 年黄河流域 76 个地级市面板数据,构建空间关联网络并开展实证分析.结果表明:该网络呈"东高西低"及"核心—边缘"结构,能显著降低污染与碳排放强度,并提升二者协同水平;其作用主要通过优化产业结构和推动技术创新实现,且对资源型城市和中小城市的促进效应更明显.研究结果可为构建流域差异化、网络化减污降碳政策体系提供参考.
The Yellow River Basin faces the dual challenge by pollution and carbon emissions dur-ing urbanization.To investigate the impact and mechanisms of the new-type urbanization spatial network on pollution and carbon reduction in the basin,this study constructs a spatial correlation network using panel data from 76 prefecture-level cities in the Yellow River Basin from 2010 to 2022 and conducts an empirical analysis.The results show that the network exhibits an"east-high,west-low"pattern and a"core-periphery"structure,significantly reducing pollution and carbon emission intensity while enhancing their synergy.These effects are primarily achieved through industrial structure optimization and technological innovation,with more pronounced benefits in resource-based cities and small-to-medium-sized cities.The research results can serve as a reference for constructing a differentia-ted and networked policy system for pollution and carbon reduction in the basin.
王亚红;吴霜;胡睿哲;魏伟
郑州大学 管理学院,河南 郑州 450001郑州大学 管理学院,河南 郑州 450001郑州大学 运动与体育学院,河南 郑州 450001郑州大学 管理学院,河南 郑州 450001
管理科学
新型城镇化空间关联网络减污降碳产业结构优化技术创新
new-type urbanizationspatial correlation networkpollution and carbon reductionindustrial structure optimizationtechnology innovation
《西安理工大学学报》 2026 (1)
24-35,12
国家社科基金一般项目(23BGL193)教育部人文社会科学研究青年基金项目(21YJC790104)河南省博士后科研项目(202103033)河南省高等学校重点科研项目(26A630020)河南省高校人文社会科学研究一般项目(2025-ZDJH-101)河南省软科学一般项目(262400411399)
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