首页|长江中游城市群新型城镇化与共同富裕耦合协调度的时空演化特征及影响因素研究

长江中游城市群新型城镇化与共同富裕耦合协调度的时空演化特征及影响因素研究

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该文运用耦合协调模型探讨长江中游城市群2009-2021年的新型城镇化和共同富裕水平的关系,并借助地理加权回归模型分析其影响因素.结果发现:1)长江中游城市群的共同富裕水平呈波动性上升的趋势,武汉城市圈及长株潭城市群的城市优于群内其他区域的城市.另外,新型城镇化指数总体呈现出线性增长,在2009年、2013年、2017年期间空间"极化"现象显著,2021年整体差距减小.2)新型城镇化与共同富裕的耦合协调水平亦呈现出波动上升的趋势,其中长沙市、武汉市的等级最高,处于较高协调阶段.3)GWR模型结果显示消费、产业结构、行政政策、科技创新和环境规制等因素在时空上存在显著差异.不同时间段各因素对地区的影响强度和波动方向稍有不同.产业结构、消费及环境规制均有显著正向影响,而行政政策及科技创新的正向影响稍弱,且区域间的主要动力差异明显.
The Influencing Factors of Coupling Coordination Degree of New Urbanization and Common Prosperity in the Yangtze River Midstream Urban Agglomeration
The coupling coordination model is used to explore the relationship between new urbanization and the level of common prosperity in the urban agglomerations along the middle reaches of the Yangtze River from 2009 to 2021.Additionally,the geographically weighted regression(GWR)model is utilized to analyze influencing factors.The findings are as follows.The level of common prosperity in the urban agglomerations along the middle reaches of the Yangtze River shows a fluctuating upward trend,with the Wuhan metropolitan area and the Changsha-Zhuzhou-Xiangtan urban agglomeration outperforming other regions within the cluster.On the other hand,the new urbaniza-tion index generally exhibits linear growth,with spatial"polarization"being significant in 2009,2013 and 2017,and the gap between the two poles narrowing in 2021.The coupling coordination level between new urbanization and common prosperity also shows a fluctuating upward trend,with Changsha and Wuhan being the highest ranked,situated at a stage of close coordination.The GWR model results indicate that factors such as consumption,industrial structure,administrative policies,technological innovation,and environmental regulation exhibit significant spatial and temporal differences.The impact intensity and direction of fluctuation of these factors vary slightly over different time periods.Among them,industrial structure,consumption,and environmental regulation all have a significant positive impact,while the positive influence of administrative policies and technological innovation is somewhat weaker,and there are obvious differences in the main driving forces between regions.

common prosperitynew urbanizationcoupled coordinationspatio-temporal differentiationgeographi-cally weighted regressionYangtze River midstream urban agglomeration

龚闪、胡国建、郑林、罗津

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江西师范大学地理与环境学院,江西南昌 330022

江西师范大学鄱阳湖湿地与流域研究教育部重点实验室,江西南昌 330022

共同富裕 新型城镇化 耦合协调 时空分异 地理加权回归 长江中游城市群

国家自然科学基金江西省社会科学基金江西省社会科学基金江西师范大学社科处与区域发展研究课题资助项目

4233010824JL0422WT96

2024

江西师范大学学报(自然科学版)
江西师范大学

江西师范大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.538
ISSN:1000-5862
年,卷(期):2024.48(3)
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