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晋陕蒙资源型城市绿色转型绩效空间关联网络结构研究OA

Research on the Spatial Correlation Network Structure of Green Transition Performance of Resource-Based Cities in Shanxi,Shaanxi and Inner Mongolia

中文摘要英文摘要

推进资源型城市绿色转型是实现区域高质量发展的关键,为了给晋陕蒙地区资源型城市绿色转型和国家有关政策的制定提供参考,基于 2012-2022 年晋陕蒙地区 21 个资源型城市的面板数据,运用熵权-TOPSIS法,从经济发展、社会福利、环境绿色、绿色技术创新 4 个维度测度绿色转型绩效,采用修正引力模型和社会网络分析法分析绿色转型绩效空间关联网络结构.研究结果表明:1)晋陕蒙资源型城市绿色转型绩效总体上呈现缓慢波动上升趋势,研究期末总体水平仍然较低、还有较大提升空间;从各样本市看,呈现绩效高和低转型市少、绩效中低和中高转型市多的"橄榄形"分布,以包头和鄂尔多斯两市为"双核"的"核心-边缘"空间分布特征显著,核心区和边缘区绿色转型绩效差异明显.2)从各市绿色转型绩效关联网络特征看,晋中市在关联网络中处于核心位置、发挥着重要的桥梁作用、承担"中心行动者"的角色,而铜川、乌海、晋城、宝鸡等边缘城市关联性较弱、绿色转型主要依赖要素输入,存在"强者恒强"马太效应.建议:1)制定有针对性的扶持政策和财政激励措施,鼓励绿色技术创新,安排专项资金支持绿色产业和环保设施建设,推动晋陕蒙资源型城市绿色转型绩效的快速提升;2)秉持"一盘棋"思想,建立"绿极"城市与"绿洼"城市的绿色转型联动、合作机制,通过技术交流、联合创新和核心城市带动等,缩小各资源型城市间绿色转型绩效的差距,促进晋陕蒙资源型城市绿色转型发展的协调与均衡.

Promoting the green transformation of resource-based cities is crucial for achieving high-quality regional development.To provide a reference for the green transformation of resource-based cities in the Shanxi-Shaanxi-Inner Mongolia region and the formulation of relevant na-tional policies,this study measured the green transformation performance based on panel data from 21 resource-based cities in the Shanxi-Shaanxi-Inner Mongolia region from 2012 to 2022.The entropy weight-TOPSIS method was applied to measure green transformation perform-ance from four dimensions:economic development,social welfare,environmental greenness,and green technology innovation.Furthermore,a modified gravity model and social network analysis were used to analyze the structure of the green transformation performance spatial corre-lation network.The results indicate that:a)The overall green transformation performance of resource-based cities in the Shanxi-Shaanxi-Inner Mongolia region shows a slow and fluctuating upward trend.By the end of the study period,the overall level remains low,leaving sig-nificant room for improvement.From the perspective of individual cities,the distribution is"olive-shaped",with few cities exhibiting high or low performance and many cities showing medium-low and medium-high performance.A significant"core-periphery"spatial distribution is ev-ident,with Baotou and Ordos forming a"dual core".The performance gap between core and peripheral areas is substantial.b)Regarding the characteristics of the green transformation performance correlation network,Jinzhong City holds a central position,playing a vital bridging role and acting as a"central actor".In contrast,peripheral cities such as Tongchuan,Wuhai,Jincheng,and Baoji show weak correlations,and their green transformation relies mainly on factor inflows,exhibiting a Matthew effect where"the strong grow stronger".Recommendations are as follows:a)Formulate targeted support policies and financial incentives to encourage green technology innovation.Provide special funds to support green industries and the construction of environmental protection facilities,thereby promoting the rapid en-hancement of green transformation performance in Shanxi-Shaanxi-Inner Mongolia resource-based cities.b)Adhering to a holistic"one chess-board"mindset,establish linkage and cooperation mechanisms for green transformation between"green pole"cities and"green depression"cities.Through technical exchange,joint innovation,and the driving effect of core cities,the green transformation performance gap among re-source-based cities should be narrowed to foster coordinated and balanced green transformation development across the Shanxi-Shaanxi-Inner Mongolia region.

史玉芳;刘欣悦

西安科技大学 管理学院,陕西 西安 710054西安科技大学 管理学院,陕西 西安 710054

资源环境

资源型城市绿色转型绩效空间关联网络晋陕蒙地区

resource-based citygreen transition performancespatial correlation networkShanxi-Shaanxi-Inner Mongolia region

《人民黄河》 2026 (2)

15-20,6

国家自然科学基金(青年基金)资助项目(70901065)教育部人文社会科学规划基金资助项目(21YJA630078)陕西省社会科学基金资助项目(2023R058)

10.3969/j.issn.1000-1379.2026.02.003

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