Spatial differentiation and influencing factors of online attention in Chengdu-Chongqing urban agglomeration: Based on the number of Douyin fans

doi:10.3969/j.issn.1004-9479.2023.11.20220363

Abstract

Abstract:

In order to probe into the present situation of regional network attention, taking the amount of Douyin followers in 16 cities of Chengdu-Chongqing urban agglomeration as the measurement index, the spatial differentiation pattern of urban network attention was analyzed by means of spatial correlation and nuclear density analysis, and the influencing factors were discussed by using correlation analysis and geographical weighted regression model. The results show that: ①From the perspective of the spatial differentiation pattern, t whole urban network is uneven, showing the characteristics of dual-core structure and collapse in the central region; the hierarchical division of attention is clear, showing symmetrical distribution up and down. ②From the perspective of the spatial correlation pattern, the Low-Low area of total and average attention is continuously distributed in the southwest, and the significant Low-High area is distributed around Chengdu and Chongqing, and the high value area of per capita level is Ziyang connecting Chengdu and Chongqing. ③From the perspective of spatial agglomeration pattern, the spatial pattern of the total value and average value of attention is similar to the differentiation pattern, and the spatial structure of per capita level is the core-peripheral structure. ④From the point of view of influencing factors, network attention is positively correlated with economy, network, traffic development, urbanization process and population composition, and its effect has obvious spatial heterogeneity, in order to provide scientific reference for promoting urban vitality and virtual economy in Chengdu and Chongqing.

Key words: internet attention, Chengdu-Chongqing urban agglomeration, number of Douyin fans, spatial pattern, GWR model

摘要：

为深入探讨区域网络关注现状，以成渝城市群16个城市的抖音粉丝量为测度指标，采用空间关联、核密度分析等方法，分析城市网络关注度的空间分异格局，运用相关分析和地理加权回归模型探讨其影响因素，结果表明：①从空间分异格局看，整体城市网络关注度分布不均衡，呈现出双核结构凸显、中部地区塌陷的特征；关注度层级划分较为清晰，呈上下对称分布；②从空间关联格局看，关注度总值和平均值的LL区在西南部连绵分布，显著LH区围绕成都和重庆分布，人均水平的高值区为连接成都和重庆的资阳；③从空间集聚格局看，关注度总值和平均值的空间格局与分异格局类似，人均水平的空间结构为“核心-外围”结构；④从影响因素看，网络关注度与经济、网络、交通发达程度、城镇化进程、人口构成均呈显著正相关，其作用效应具有明显的空间异质性。本研究可为促进成渝地区城市活力、虚拟经济的提升提供科学参考。

关键词: 网络关注度, 成渝城市群, 抖音粉丝量, 空间格局, GWR模型

Xiaoni WU, Weihua GUAN, Hui ZHANG, Lianxia WU. Spatial differentiation and influencing factors of online attention in Chengdu-Chongqing urban agglomeration: Based on the number of Douyin fans[J]. World Regional Studies, 2023, 32(11): 130-140.

吴小妮, 管卫华, 张惠, 吴连霞. 成渝城市群网络关注度的空间分异及影响因素[J]. 世界地理研究, 2023, 32(11): 130-140.

Figures/Tables 8

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地区	总值	最大值	最小值	平均值	变异系数
成都	7 219.50	380.90	8.90	46.27	1.33
重庆	5 342.20	429.70	7.10	35.61	1.42
绵阳	703.09	98.69	0.18	5.49	2.69
德阳	404.63	124.61	0.03	4.09	4.03
眉山	393.45	134.53	0.06	4.23	3.58
乐山	373.21	135.09	0.08	4.15	3.62
宜宾	449.84	31.32	0.20	3.29	2.07
南充	585.53	108.94	0.15	5.23	2.56
遂宁	394.84	174.82	0.05	3.72	4.67
资阳	427.87	20.21	0.01	0.97	1.69
达州	403.64	98.44	0.07	4.04	2.77
泸州	807.06	198.50	0.16	7.21	3.06
自贡	330.33	103.01	0.08	3.03	3.36
内江	237.04	26.83	0.04	2.24	1.83
广安	127.24	13.52	0.03	1.84	2.45
雅安	101.64	20.51	0.02	1.34	2.47

地区	总值	最大值	最小值	平均值	变异系数
成都	7 219.50	380.90	8.90	46.27	1.33
重庆	5 342.20	429.70	7.10	35.61	1.42
绵阳	703.09	98.69	0.18	5.49	2.69
德阳	404.63	124.61	0.03	4.09	4.03
眉山	393.45	134.53	0.06	4.23	3.58
乐山	373.21	135.09	0.08	4.15	3.62
宜宾	449.84	31.32	0.20	3.29	2.07
南充	585.53	108.94	0.15	5.23	2.56
遂宁	394.84	174.82	0.05	3.72	4.67
资阳	427.87	20.21	0.01	0.97	1.69
达州	403.64	98.44	0.07	4.04	2.77
泸州	807.06	198.50	0.16	7.21	3.06
自贡	330.33	103.01	0.08	3.03	3.36
内江	237.04	26.83	0.04	2.24	1.83
广安	127.24	13.52	0.03	1.84	2.45
雅安	101.64	20.51	0.02	1.34	2.47

层级	关注度总值	关注度平均值	人均关注度
第一层级	雅安、广安	雅安、广安	广安
第二层级	内江、自贡	内江、自贡、资阳	雅安、内江、宜宾、南充、达州
第三层级	达州、德阳、遂宁、资阳、眉山、乐山、宜宾	达州、德阳、遂宁、眉山、乐山、宜宾	绵阳、德阳、遂宁、资阳、眉山、乐山、自贡
第四层级	绵阳、南充、泸州	绵阳、南充、泸州	泸州、重庆
第五层级	成都、重庆	成都、重庆	成都

层级	关注度总值	关注度平均值	人均关注度
第一层级	雅安、广安	雅安、广安	广安
第二层级	内江、自贡	内江、自贡、资阳	雅安、内江、宜宾、南充、达州
第三层级	达州、德阳、遂宁、资阳、眉山、乐山、宜宾	达州、德阳、遂宁、眉山、乐山、宜宾	绵阳、德阳、遂宁、资阳、眉山、乐山、自贡
第四层级	绵阳、南充、泸州	绵阳、南充、泸州	泸州、重庆
第五层级	成都、重庆	成都、重庆	成都

影响因子维度	自变量名称	预期作用方向	相关系数
经济发展水平	人均GDP/元	+	0.849^**
经济发展水平	地方财政一般预算收入/亿元	+	0.930^**
网络发达程度	互联网宽带接入用户数/万户	+	0.857^**
网络发达程度	邮电业务收入/万元	+	0.947^**
城镇化进程	常住人口城镇化率/%	+	0.924^**
城镇化进程	二三产占GDP比重/%	+	0.783^**
交通发达程度	公路密度（里程/万人）	+	0.027
交通发达程度	公路货运量/万吨	+	0.664^**
社会人口构成	0~14岁人口占比/%	－	－0.286
	15~64岁人口占比/%	+	0.693^**
	65岁及以上人口占比/%	－	－0.644^**
	初中及以下人口数量/（人/十万人）	－	－0.886^**
	高中（含中专）人口数量/（人/十万人）	+	－0.535^**
	大专及以上人口数量/（人/十万人）	+	0.888^**