Research on China's urban innovation network based on top 1000 high technology enterprises

doi:10.3969/j.issn.1004-9479.2021.05.2020071

Abstract

Abstract:

Under the background of China's innovation-driven development strategy, the innovation elements in urban development have become more important than ever. The research on urban innovation networks based on innovative enterprise contact data has become an important topic in today's urban development. Based on the kernel density estimation and the chain network model, this paper will study the enterprise layout and the urban innovation network structure based on the information of the high technology enterprise headquarters and branches in China's top 1000 innovation capacity in 2018. The research shows that: (1) High technology enterprises are mainly concentrated in China's three major coastal cities and some midwest central cities; (2) China's urban innovation network generally presents a diamond-shaped structure. Moreover the urban's abilities of innovation is significantly different and hierarchical, and the innovative connections between cities are mainly formed by hierarchical diffusion; (3) The structure of urban innovation networks vary greatly among different industries. According to industry attributes, innovative cities can be divided into technological innovation city, industrial innovation city and service innovation city. The research aims to promote the transformation and upgrading of traditional industries, realize the development of urban innovation, and provide scientific reference for the development of targeted development models for innovative cities.

Key words: high technology expertise, innovation ability, urban network, chain network model, China

摘要：

在我国创新驱动发展战略的背景下，城市发展中的创新要素变得空前重要，基于创新型企业联系数据研究城市创新网络成为当今城市发展的重要议题。选取2018年中国创新能力1000强的高新技术企业总部和分支机构信息，基于核密度分析法和连锁网络模型，对企业布局和城市创新网络结构进行研究。研究表明：（1）高新技术企业主要聚集于中国三大沿海城市群及部分中西部中心城市；（2）中国城市创新网络大致呈现出菱形结构，城市创新能力差异显著且具有等级性，城市间的创新联系主要通过等级扩散形成；（3）不同行业视角下的城市创新网络结构差异性显著，依据行业属性可将创新型城市划分为科技创新型城市、工业创新型城市和服务创新型城市。研究以期推动传统产业转型升级，实现城市创新发展，为创新型城市制定针对性发展模式提供科学参考。

关键词: 高新技术企业, 创新能力, 城市网络, 连锁网络模型, 中国

Yachen FAN, Weidong CAO, Zhiyu CHEN, Xilong XIANG, Dalong FAN. Research on China's urban innovation network based on top 1000 high technology enterprises[J]. World Regional Studies, 2021, 30(5): 1036-1047.

范雅辰, 曹卫东, 陈枳宇, 项希龙, 范大龙. 基于千强高新技术企业的中国城市创新网络研究[J]. 世界地理研究, 2021, 30(5): 1036-1047.

Figures/Tables 7

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城市	创新价值得分	总部数量	城市	创新价值得分	总部数量	城市	创新价值得分	总部数量	城市	创新价值得分	总部数量
北京	701	92	合肥	140	10	珠海	77	10	南宁	55	1
上海	515	59	杭州	134	14	东莞	75	9	佛山	48	4
深圳	462	64	济南	117	8	乌鲁木齐	75	1	芜湖	46	5
成都	256	14	长沙	117	9	马鞍山	69	4	洛阳	43	5
天津	226	18	郑州	111	7	宁波	68	6	台州	43	7
广州	214	17	无锡	98	12	石家庄	65	4	平顶山	40	3
武汉	201	14	南昌	96	3	宜昌	65	1	常州	38	4
西安	187	14	大连	94	2	株洲	64	7	烟台	38	2
沈阳	176	5	哈尔滨	83	5	贵阳	61	0	南通	35	4
南京	174	11	厦门	83	5	兰州	59	0	银川	35	0
苏州	157	19	太原	80	5	海口	57	0	中山	35	3
重庆	150	7	福州	79	3	长春	56	1	保定	34	2
青岛	144	8	昆明	77	1

城市	创新价值得分	总部数量	城市	创新价值得分	总部数量	城市	创新价值得分	总部数量	城市	创新价值得分	总部数量
北京	701	92	合肥	140	10	珠海	77	10	南宁	55	1
上海	515	59	杭州	134	14	东莞	75	9	佛山	48	4
深圳	462	64	济南	117	8	乌鲁木齐	75	1	芜湖	46	5
成都	256	14	长沙	117	9	马鞍山	69	4	洛阳	43	5
天津	226	18	郑州	111	7	宁波	68	6	台州	43	7
广州	214	17	无锡	98	12	石家庄	65	4	平顶山	40	3
武汉	201	14	南昌	96	3	宜昌	65	1	常州	38	4
西安	187	14	大连	94	2	株洲	64	7	烟台	38	2
沈阳	176	5	哈尔滨	83	5	贵阳	61	0	南通	35	4
南京	174	11	厦门	83	5	兰州	59	0	银川	35	0
苏州	157	19	太原	80	5	海口	57	0	中山	35	3
重庆	150	7	福州	79	3	长春	56	1	保定	34	2
青岛	144	8	昆明	77	1

类型	相对网络连通度	城市
全国性创新城市	0.63~1.00	北京、深圳、上海
区域性创新城市	0.36~0.63	天津、广州、成都、武汉、苏州
次区域性创新城市	0.15~0.36	杭州、郑州、西安、青岛、南京、合肥、重庆、长沙、济南、沈阳
地区性创新城市	0.00~0.15	南昌、福州、昆明、珠海、厦门、东莞、乌鲁木齐、台州、兰州、南宁、长春、宜昌、石家庄、马鞍山、海口、无锡、贵阳、宁波、太原、哈尔滨、大连、佛山、烟台、银川、芜湖、株洲、常州、平顶山、中山、南通、洛阳、保定

类型	相对网络连通度	城市
全国性创新城市	0.63~1.00	北京、深圳、上海
区域性创新城市	0.36~0.63	天津、广州、成都、武汉、苏州
次区域性创新城市	0.15~0.36	杭州、郑州、西安、青岛、南京、合肥、重庆、长沙、济南、沈阳
地区性创新城市	0.00~0.15	南昌、福州、昆明、珠海、厦门、东莞、乌鲁木齐、台州、兰州、南宁、长春、宜昌、石家庄、马鞍山、海口、无锡、贵阳、宁波、太原、哈尔滨、大连、佛山、烟台、银川、芜湖、株洲、常州、平顶山、中山、南通、洛阳、保定

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