Analysis on the spatial structure characteristics and influencing factors of China's Green Financial Network: From the perspective of enterprise-city network retranslation model

doi:10.3969/j.issn.1004-9479.2021.01.2019314

Abstract

Abstract:

It is of great significance for the green transformation and high-quality development of regional economy to explore the spatial structure characteristics and influencing factors of green financial network. Based on the data of the headquarters and branches of enterprises, this paper constructs the enterprise-city network retranslation model, and investigates the spatial structure characteristics and influencing factors of China's green financial network with the help of social network analysis. The results show that: ① The overall density of China's green financial network is relatively low, which is showed by a "diamond" spatial structure with "Beijing Shanghai Shenzhen Chongqing" as the vertex. The network connection mainly occurs in the three hub areas, and the overall performance is "intensive in the East and sparse in the west". ② The core edge structure of individual network is significant, and only a few cities occupy an important intermediary position. ③ The level of urban administration, the location of enterprise headquarters, the proximity of space, the difference in fixed asset investment and the difference in the level of opening to the outside world have significant influence on the correlation of China's green financial network.

Key words: green financial network, urban network, spatial structure, influencing factors, QAP analysis

摘要：

探讨绿色金融网络的空间结构特征及其影响因素，对于区域经济绿色转型及高质量发展具有重要意义。基于企业总分支机构数据构建企业-城市网络转译模型，借助社会网络分析法考察中国绿色金融网络的空间结构特征及其影响因素。结果表明：①中国绿色金融网络的整体密度偏低，表现为以“北京-上海-深圳-重庆”为顶点的“菱形”空间结构，网络联系主要发生在三大枢纽区，整体呈“东密西疏”之格局。②个体网络核心边缘结构显著，仅有少部分城市占据重要的中介位置。③城市行政级别、企业总部所在地、空间是否邻近、固定资产投资差异和对外开放水平差异等对中国绿色金融网络关联具有显著影响。

关键词: 绿色金融网络, 城市网络, 空间结构, 影响因素, QAP分析

Yujie LI, Liming XIAO. Analysis on the spatial structure characteristics and influencing factors of China's Green Financial Network: From the perspective of enterprise-city network retranslation model[J]. World Regional Studies, 2021, 30(1): 101-113.

李雨婕, 肖黎明. 中国绿色金融网络空间结构特征及影响因素分析[J]. 世界地理研究, 2021, 30(1): 101-113.

Figures/Tables 9

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序号	1	2	3	4	5	6	7	8
1	0.646	0.368	0.380	0.269	0.079	0.105	0.138	0.094
2	0.256	0.643	0.111	0.016	0.012	0.000	0.055	0.000
3	0.043	0.011	0.031	0.004	0.013	0.012	0.011	0.056
4	0.053	0.016	0.000	0.222	0.006	0.000	0.000	0.000
5	0.004	0.001	0.003	0.003	0.002	0.000	0.000	0.000
6	0.030	0.000	0.014	0.000	0.003	0.129	0.000	0.000
7	0.000	0.011	0.003	0.000	0.002	0.000	0.000	0.000
8	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000

序号	1	2	3	4	5	6	7	8
1	0.646	0.368	0.380	0.269	0.079	0.105	0.138	0.094
2	0.256	0.643	0.111	0.016	0.012	0.000	0.055	0.000
3	0.043	0.011	0.031	0.004	0.013	0.012	0.011	0.056
4	0.053	0.016	0.000	0.222	0.006	0.000	0.000	0.000
5	0.004	0.001	0.003	0.003	0.002	0.000	0.000	0.000
6	0.030	0.000	0.014	0.000	0.003	0.129	0.000	0.000
7	0.000	0.011	0.003	0.000	0.002	0.000	0.000	0.000
8	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000

影响因素	相关系数	显著性水平	相关系数均值	标准差	最小值	最大值	P1≥0	P2≤0
Admi	0.2930	0.0001	-0.0001	0.0107	-0.0126	0.0596	0.0001	1.000
Head	0.2232	0.0001	-0.0001	0.0150	-0.0261	0.0641	0.0001	1.000
Dist	0.1292	0.0001	0.0000	0.0032	-0.0110	0.0192	0.0001	1.000
AGDP	0.1432	0.0001	0.0003	0.0182	-0.0393	0.0668	0.0001	1.000
Struc	0.1214	0.0001	0.0001	0.0190	-0.0407	0.0616	0.0001	1.000
Invest	0.1578	0.0001	0.0003	0.0170	-0.0329	0.0675	0.0001	1.000
Open	0.1545	0.0001	0.0001	0.0127	-0.0179	0.0573	0.0001	1.000

影响因素	相关系数	显著性水平	相关系数均值	标准差	最小值	最大值	P1≥0	P2≤0
Admi	0.2930	0.0001	-0.0001	0.0107	-0.0126	0.0596	0.0001	1.000
Head	0.2232	0.0001	-0.0001	0.0150	-0.0261	0.0641	0.0001	1.000
Dist	0.1292	0.0001	0.0000	0.0032	-0.0110	0.0192	0.0001	1.000
AGDP	0.1432	0.0001	0.0003	0.0182	-0.0393	0.0668	0.0001	1.000
Struc	0.1214	0.0001	0.0001	0.0190	-0.0407	0.0616	0.0001	1.000
Invest	0.1578	0.0001	0.0003	0.0170	-0.0329	0.0675	0.0001	1.000
Open	0.1545	0.0001	0.0001	0.0127	-0.0179	0.0573	0.0001	1.000

影响因素	非标准化系数	标准化系数	显著性概率值	概率1	概率2
截距项	0.01331	0.00000	-	-	-
Admi	0.25179	0.23605	0.00010	0.00010	1.00000
Head	0.04321	0.08992	0.00010	0.00010	1.00000
Dist	0.11555	0.12683	0.00010	0.00010	1.00000
AGDP	0.00487	0.01531	0.21148	0.21148	0.78862
Struc	0.00347	0.01204	0.31817	0.31817	0.68193
Invest	0.02381	0.06424	0.00010	0.00010	1.00000
Open	0.06894	0.09315	0.00010	0.00010	1.00000