| 中国城市网络关联格局的演变及影响因素：基于企业网络视角 |
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| 引用本文： | 杨雨,盛科荣.中国城市网络关联格局的演变及影响因素：基于企业网络视角[J].世界地理研究,2021,30(6):1208-1218. |
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| 作者姓名： | 杨雨 盛科荣 |
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| 作者单位： | 山东理工大学经济学院，山东 淄博 255000 |
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| 基金项目： | 国家自然科学基金项目(41771173) |
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| 摘 要： | 基于企业网络视角，利用隶属网络模型，研究中国城市网络关联格局的演变，利用QAP模型识别影响因素，结果发现：（1）网络整体呈现扁平化特征，城市网络在越来越扁平化的同时等级性并没有消失；（2）从网络联系趋势上看，城市之间联系越来越紧密，网络规模越来越大，但总体联系仍比较松散，且东部发育完善，中西部发育不完善，东部城市对其他地区城市的辐射作用越来越强；（3）我国城市网络存在典型的“小世界”效应且“小世界”效应越来越明显；（4）通过凝聚子群分析，发现子群数目越来越多，但是只有少数城市出现在子群中，说明联系大部分发生在核心城市之间；（5）城市规模、城市资源和生产成本对城市网络关联格局的形成有显著影响，城市规模、城市资源差距越小和生产成本差距越大的城市之间越容易发生联系，并且城市网络的发展深受历史因素的影响。
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| 关 键 词： | 城市网络关联格局 企业网络 隶属网络 社会网络分析 QAP模型 |
| 收稿时间： | 2019-03-26 |
| 修稿时间： | 2019-09-20 |
Evolution and influencing factors of urban network linkage patterns in China: From the perspective of enterprise network |
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| Yu YANG,Kerong SHENG.Evolution and influencing factors of urban network linkage patterns in China: From the perspective of enterprise network[J].World Regional Studies,2021,30(6):1208-1218. |
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| Authors: | Yu YANG Kerong SHENG |
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| Institution: | School of Economics, Shandong University of Technology, Zibo 255000, China |
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| Abstract: | From the perspective of enterprise network, this paper studied the evolution of urban network association pattern in China and influencing factors by using subordinate network model and QAP model. The results shows: (1)the whole network is flattened but the urban network's hierarchy isn't disappearing ;(2)from the perspective of the trend of network connection, the cities' relationship is becoming more closer and the scale of the network is becoming larger and larger but the overall relationship is still relatively loose, and the eastern part is well developed, however the central and western parts are imperfect, and the eastern cities radiation effect is becoming stronger ;(3)the whole network shows typical "small world" effect and "small world" effect is more and more obvious; (4)the number of sub-groups is increasing and few cities appear in the sub-group, indicating that most of the links occur between core cities.(5)urban scale, urban resources and production costs have a significant impact on the formation of urban network correlation pattern. If cities' scale is more similar, the resource gap is smaller, the production cost gap is bigger, and it is easier for cities to connect. Also, the urban network's development is deeply influenced by historical factors. |
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| Keywords: | urban network linkage patterns enterprise network affiliation network social network analysis QAP model |
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