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作 者:王宁宁 王勤升 赵晓永[1] WANG Ningning;WANG Qinsheng;ZHAO Xiaoyong(School of Information Management,Beijing University of Information Technology,Being 100192,China)
机构地区:[1]北京信息科技大学信息管理学院,北京100192
出 处:《地域研究与开发》2023年第5期42-48,共7页Areal Research and Development
基 金:国家自然科学基金项目(61572079);北京市社会科学基金项目(20JJC023);北京市教委社科项目(SM202011232008)。
摘 要:从复杂网络视角切入,基于SBM模型测度2004—2019年中国144个地级及以上智慧城市的智慧城市建设效率,基于修正引力模型构建空间关联网络,利用社会网络分析以及OLS回归模型探讨中国智慧城市建设效率的时空演变特征与网络结构效应,并据此提出其效率影响机制。结果表明:①智慧城市建设效率呈现先增长后下降的总体特征,波动较大,变化趋势与政策力度密切相关;②智慧城市建设效率空间网络总体呈现“多城市核心”的主导发展模式,并且模式紧随政策动态演变,逐渐形成“北京—郑州—深圳—上海—广州联动发展”的多核心格局;③网络权利中心城市主要集中在东部沿海地区,多数城市建设乏力,效率持续降低,影响力在宏观层面上逐渐减弱,相关政策与落地实施在不同的城市效果差异明显;④核心圈层城市数量规模先扩大后缩小,空间分布向东南部和中部扩展,中原城市群与京津冀联动;⑤网络密度、节点中心度对智慧城市建设效率是正向促进作用,平均距离、网络效率与网络等级为负向作用。Starting from a complex network perspective,we measure the smart city construction efficiency of 144 smart cities above the prefecture level in China from 2004 to 2019 based on the SBM model,construct a spatial correlation network based on the modified gravity model,explore the spatial and temporal evolution characteristics and network structure effects of smart city construction efficiency in China using social network analysis as well as OSL,and propose its efficiency impact mechanism accordingly.The research results show that:①The efficiency of smart city construction shows the general characteristics of first growth and then decline,with large fluctuations,and the change trend is closely related to the policy strength;②The spatial network of smart city construction efficiency shows the dominant development pattern of“multi-city core”in general,and the pattern follows the dynamic evolution of the policy;③The center cities are mainly concentrated in the eastern coastal region.Most cities are weak in construction,whose efficiency continues to decline,and influence is gradually weakening at the macro level.There are obvious regional differences between related policies and landing implementation;④The number and scale of core circle cities first expand and then shrink,the spatial distribution expands to the southeast and central;⑤The network density and the node centrality on the efficiency of smart city construction have positive contribution to the average distance,while the network efficiency and the network level are negative effects.
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