Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (4): 835-852.doi: 10.11821/dlxb202104005
• Urban Studies • Previous Articles Next Articles
HUANG Xiaodong1,2,3(), MA Haitao4(
), MIAO Changhong3
Received:
2019-10-16
Revised:
2020-09-24
Online:
2021-04-25
Published:
2021-06-25
Contact:
MA Haitao
E-mail:498325802@qq.com;maht@igsnrr.ac.cn
Supported by:
HUANG Xiaodong, MA Haitao, MIAO Changhong. Connectivity characteristics for city networks in China based on innovative enterprises[J].Acta Geographica Sinica, 2021, 76(4): 835-852.
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Tab. 1
List of innovative enterprises and selection criteria
名单 | 评选单位 | 批次及数量 | 评选标准 |
---|---|---|---|
创新型企业试点 | 中国科技部、国资委、总工会 | 2006—2012年5批,共计676家企业 | 技术创新、品牌创新、体制机制创新、经营管理创新、理念和文化创新 |
国家技术创新示范企业 | 中国工信部、财政部 | 2011—2017年7批,共计495家企业 | 创新机制、技术与人才、产出与效益 |
中国企业创新能力1000强 | 中国人民大学等 | 2017年1000家企业 | 创新投入、创新成果、创新价值扩散、创新网络宣传以及创新市场收益 |
中国大陆创新企业百强 | Clarivate Analytic | 2016、2017年两批,每批次100家 | 企业发明总量、专利授权率、全球化和影响力 |
2017 Global Innovation 1000 | Strategy | 2017年中国大陆企业113家 | 全球研发支出最高的1000家上市公司 |
Tab. 3
The top five node attributes for the cities in the network
序列 | 出度 | 入度 | 中心度 | 辐射城市数 | 吸引城市数 |
---|---|---|---|---|---|
1 | 北京(9926) | 北京(3788) | 北京(13714) | 北京(297) | 北京(139) |
2 | 深圳(3423) | 上海(3493) | 上海(6271) | 深圳(168) | 上海(138) |
3 | 上海(2778) | 深圳(1901) | 深圳(5324) | 上海(146) | 成都(95) |
4 | 杭州(1737) | 成都(1457) | 杭州(2822) | 南京(137) | 深圳(93) |
5 | 广州(1221) | 天津(1303) | 广州(2493) | 成都(134) | 广州(84) |
Tab. 4
The characteristics for internal and external connectivity for the three regions and the three megalopolises in China
区域内部创新企业流 | 区域外部创新企业流 | ||||||
---|---|---|---|---|---|---|---|
总强度 | 平均强度 | 首位占比 | 总强度 | 平均强度 | 首位占比 | ||
东部区域 | 20586 | 179.01 | 0.19 | 17563 | 73.79 | 0.33 | |
中部区域 | 2208 | 17.25 | 0.11 | 11939 | 53.30 | 0.14 | |
西部区域 | 1762 | 16.59 | 0.18 | 8554 | 35.06 | 0.21 | |
京津冀城市群 | 1556 | 119.69 | 0.43 | 15063 | 44.30 | 0.82 | |
长三角城市群 | 3393 | 130.50 | 0.23 | 13180 | 40.31 | 0.36 | |
珠三角城市群 | 1016 | 112.89 | 0.33 | 8686 | 25.25 | 0.53 |
Tab. 5
Regression results for the factors influencing city networks in China based on innovative enterprises
模型1 | 模型2 | 模型3 | 模型4 | 模型5 | |
---|---|---|---|---|---|
流发出城市属性指标 | |||||
UAD | 0.096** | 0.162*** | 0.243*** | ||
(0.04) | (0.04) | (0.031) | |||
PGDP | 0.275*** | 0.311*** | 0.386*** | ||
(0.044) | (0.043) | (0.034) | |||
PCH | 0.028*** | 0.022*** | 0.026*** | ||
(0.008) | (0.008) | (0.006) | |||
STE | 0.062*** | 0.061*** | 0.065*** | ||
(0.004) | (0.004) | (0.003) | |||
TIZ | 0.055* | 0.069** | 0.009 | ||
(0.029) | (0.029) | (0.024) | |||
AUFDI | -0.022*** | -0.024*** | -0.025*** | ||
(0.005) | (0.005) | (0.004) | |||
流接收城市属性指标 | |||||
UAD | 0.135*** | 0.180*** | 0.284*** | ||
(0.041) | (-0.042) | (0.031) | |||
PGDP | 0.402*** | 0.409*** | 0.379*** | ||
(0.048) | (0.048) | (0.036) | |||
PCH | 0.074*** | 0.086*** | 0.055*** | ||
(0.009) | (0.009) | (0.006) | |||
STE | 0.019*** | 0.013*** | 0.036*** | ||
(0.005) | (-0.004) | (0.003) | |||
TIZ | 0.144*** | 0.192*** | 0.113*** | ||
(0.032) | (-0.032) | (0.025) | |||
AUFDI | 0.013** | 0.014** | -0.006 | ||
(0.006) | (0.006) | (0.005) | |||
城市关系邻近性指标 | |||||
GEOPRO | -0.161*** | -0.129*** | -0.114*** | ||
(0.025) | (0.026) | (0.02) | |||
TECPRO | 0.312** | -1.617*** | 1.241*** | ||
(0.135) | (0.137) | (0.121) | |||
INSTPRO | 0.380*** | 0.366*** | 0.811*** | ||
(0.047) | (0.049) | (0.037) | |||
常数项 | 1.174*** | 0.875*** | 1.051*** | 2.377*** | -1.450*** |
(0.058) | (0.131) | (0.055) | (0.131) | (0.127) | |
lnα | -0.162*** | -0.202*** | -0.072*** | -0.110*** | -0.888*** |
(0.021) | (0.021) | (0.02) | (0.02) | (0.026) | |
样本量 | 5124 | 5124 | 5124 | 5124 | 5124 |
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