长三角地区复杂知识的空间特征及地方知识库类型

doi:10.18306/dlkxjz.2019.12.012

地理科学进展 ›› 2019, Vol. 38 ›› Issue (12): 1968-1976.doi: 10.18306/dlkxjz.2019.12.012

长三角地区复杂知识的空间特征及地方知识库类型

谢家艳¹, 曾刚^1,^2,^*()

^1. 华东师范大学城市与区域科学学院，上海200062
^2. 华东师范大学中国现代城市研究中心，上海200062

收稿日期:2018-12-26 修回日期:2019-03-15 出版日期:2019-12-28 发布日期:2019-12-28
通讯作者: 曾刚
作者简介:谢家艳(1994— ),女,浙江宁波人,硕士生,主要从事经济地理与区域创新研究。E-mail: jyanxie@163.com
基金资助:
教育部人文社科基地重大项目(17JJD790006);国家自然科学基金青年项目(41801109)

Geography of complex knowledge and types of local knowledge pool in the Yangtze River Delta

XIE Jiayan¹, ZENG Gang^1,^2,^*()

^1. School of Urban & Regional Science, East China Normal University, Shanghai 200062, China
^2. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China

Received:2018-12-26 Revised:2019-03-15 Online:2019-12-28 Published:2019-12-28
Contact: ZENG Gang
Supported by:
Key Project of the Ministry of Education of Humanities and Social Science(17JJD790006);National Natural Science Foundation of China(41801109)

摘要/Abstract

摘要：

知识基础是技术变革和经济长期发展的关键驱动力。已有研究也证明了不同知识类型的价值具有差异。然而在经济地理学领域,常常因知识的质量难以量化而将研究停留在知识投入-产出的数量层面。论文以长三角地区为例,基于该地区41个城市的专利数据,对城市和技术的知识复杂度和多样化水平进行量化,并分析城市-技术知识网络的空间格局和网络结构。研究发现：长三角地区的知识复杂度存在空间异质性,最复杂的技术仅由少数城市生产;从知识库的多样性和知识复杂度2个维度对城市进行类型划分,获得创新型、赌博型、后进型和锁定型4种区域知识库类型,并基于区域知识库异质性提出针对性的区域发展建议。

关键词: 知识复杂度, 空间特征, 地方知识库, 长三角

Abstract:

There is a consensus that cumulative knowledge is a key driver of technological revolution and long-run economic growth. In addition, the literature has shown that not all knowledge has the same value. However, we have been obsessed with counting knowledge inputs and outputs rather than assessing the quality of knowledge produced simply because the quality of knowledge is difficult to quantify. In this study, we examined the city-technology (dual-mode) network in the Yangtze River Delta, measured the knowledge complexity, mapped the distribution of knowledge complexity, and distinguished different types of knowledge pool. The result shows that knowledge complexity is unevenly distributed across the Yangtze River Delta. The most complicated technologies are produced only by a few cities. According to knowledge diversity and knowledge complexity, the local knowledge pool can be classified into four types: the innovative type, the Casino type, the slow catch-up type, and the locked-in type. We underlined further the need for a region-specific focus by identifying the type of local knowledge pool.

Key words: knowledge complexity, spatial characteristics, local knowledge pool, the Yangtze River Delta

谢家艳, 曾刚. 长三角地区复杂知识的空间特征及地方知识库类型[J]. 地理科学进展, 2019, 38(12): 1968-1976.

XIE Jiayan, ZENG Gang. Geography of complex knowledge and types of local knowledge pool in the Yangtze River Delta[J]. PROGRESS IN GEOGRAPHY, 2019, 38(12): 1968-1976.

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IPC技术类别	解释	KCI	KUI
B33	3D打印技术	0.1286	1
G06	计算;推算;计数	0.0267	5
H04	电通信技术	0.0267	5
B81	微观结构技术	0.0192	6
C40	组合技术	0.0190	6
G16	医疗系统	0.0163	7
B32	层状产品	0.0156	6
G05	控制;调节	0.0142	8
B82	超微技术	0.0133	8
H03	基本电子电路	0.0129	8

长三角地区复杂知识的空间特征及地方知识库类型

Geography of complex knowledge and types of local knowledge pool in the Yangtze River Delta

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