长江流域资源与环境 >> 2022, Vol. 31 >> Issue (10): 2122-2133.doi: 10.11870/cjlyzyyhj202210002

• 区域可持续发展 • 上一篇    下一篇

长三角技术多样化、外部创新合作对城市非典型知识组合产出的影响

覃柳婷1,2,王秋玉3,曾  刚1,2*   

  1. (1. 华东师范大学中国现代城市研究中心,上海200062;2. 华东师范大学城市与区域科学学院,上海200241;3. 上海社会科学院经济研究所,上海200020)
  • 出版日期:2022-10-20 发布日期:2022-10-27

Research on the Influence of Variety and External Innovation Cooperation on Urban Atypical Knowledge Combination Output in the Yangtze River Delta

QIN Liu-ting1,2, WANG Qiu-yu3, ZENG Gang1,2    

  1. (1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China; 2. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China; 3.Institute of Economics, Shanghai Academy of Social Sciences, Shanghai 200020, China)
  • Online:2022-10-20 Published:2022-10-27

摘要: 创新是国家社会经济发展的重要驱动力,非典型知识组合具备新颖性、探索性和前瞻性等特征,被认为是突破性创新的重要基础。在高质量发展的时代背景下,有效识别非典型知识组合和掌握提高非典型知识组合产出的影响因素对城市制定创新战略、提升城市创新能级和提高决策效率具有重要的现实意义。利用2000~2018年专利数据,通过z值法识别非典型知识组合,运用面板回归模型探究长三角地区技术相关多样化、技术非相关多样化与外部创新合作对城市非典型知识组合产出的影响作用。研究发现:(1)2000~2018年,长三角地区非典型知识组合主要集中在“作业&运输”“化学&冶金”和“人类生活必需”三大技术领域,且多存在于战略新兴产业之中,空间上集中分布于沪宁合杭甬“Z”型发展带上。(2)在高等级和一般等级城市中,相关多样化均有利于提高城市非典型知识组合产出;高等级城市中,非相关多样化对非典型知识组合产出影响作用不显著,一般等级城市中,非相关多样化程度与非典型知识组合产出呈现倒“U”型关系。(3)在高等级和一般等级城市中,外部创新合作与城市非典型知识组合产出均存在倒“U”型关系,非相关多样化和外部创新合作均会相互削弱对方对非典型知识组合产出的积极影响作用,二者存在显著的替代效应。

Abstract: In the era of knowledge economy, innovation is key for countries and cities to pursue high-quality development and enhance international competitiveness. Atypical knowledge combination, which is novel, exploratory and forward-looking, is considered to be one of the constituent elements of breakthrough innovation and is gradually paid increasing attention by geographers. Under the background of high-quality development in China, the identification of atypical knowledge combination and understanding its driving factors have great practical significance for cities to formulate innovation strategies, improve innovation level and decision-making efficiency. By using the panel regression model of patent data from 2000 to 20018, this research investigates the effects of technology related variety, technology unrelated variety and external innovation cooperation on the output of atypical knowledge combination in the Yangtze River Delta region. The main analysis is based on city-level patent application data issued by China National Intellectual Property Administration and the Z-value method is applied to determine the atypical knowledge combination, and the entropy index first introduced by Castaldi and Frenken is used to measure related variety and unrelated variety. The results show that: (1) The atypical knowledge combinations of Yangtze River Delta region are concentrated in three major technology fields including “Performing Operations & Transporting”, “Chemistry & Metallurgy” and “Human Necessities”, especially in strategic emerging industries. (2) Related variety has a significant positive effect on the output of atypical knowledge combination in cities. In contrast, unrelated variety has no influence on the output of atypical knowledge combination in high hierarchy cities, unrelated variety has an inverted “U” relationship with the output of atypical knowledge combination in general hierarchy cities. (3)There is a significant inverted “U” relationship between external innovation cooperation and the output of atypical knowledge combination in cities. Unrelated variety and external innovation cooperation weaken each other’s positive impact on the output of atypical knowledge combination.

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