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

doi:10.3969/j.issn.1004-9479.2021.06.2019128

摘要/Abstract

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。

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

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.

Key words: urban network linkage patterns, enterprise network, affiliation network, social network analysis, QAP model

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.

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.

图/表 8

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年份	网络密度（多值）	网络密度（二值）
2005	0.042	0.005
2010	0.071	0.009
2015	0.120	0.014

年份	网络密度（多值）	网络密度（二值）
2005	0.042	0.005
2010	0.071	0.009
2015	0.120	0.014

地区	2005年	2010年	2015年
东部地区	0.3037	0.5010	0.8543
中部地区	0.0275	0.0495	0.0750
西部地区	0.0093	0.0154	0.0236
东北地区	0.3037	0.5010	0.8629

地区	2005年	2010年	2015年
东部地区	0.3037	0.5010	0.8543
中部地区	0.0275	0.0495	0.0750
西部地区	0.0093	0.0154	0.0236
东北地区	0.3037	0.5010	0.8629

年份	平均路径长度	路径数量	占全部路径比	累计百分比
2005	1	2928	3.04%	3.04%
	2	59948	62.18%	65.22%
	3	31192	32.35%	97.57%
	4	2334	2.42%	99.99%
	5	8	0.83%	100%
2010	1	4186	3.93%	3.93%
	2	80322	75.35%	79.28%
	3	21794	20.44%	99.72%
	4	300	0.28%	100%
2015	1	5780	5.14%	5.14%
	2	97766	86.86%	92%
	3	8962	7.96%	99.96%
	4	52	0.04%	100%