摘要
知识生产与创新被认为是推动经济增长的关键因素。随着技术变得越来越复杂,复杂知识生产所产生的“知识负担”逐渐超过了独立个人的创新能力,这种情况下,在专业化知识领域与他人的合作被认为是可以减缓这类“知识负担”困境的一种途径。因此,论文根据中国知识产权局1985—2019年间的3012565条专利记录,以中国297个地级及以上城市为例,刻画中国城市专利复杂度的时空演变,并运用Logistic回归模型探究知识复杂度对创新合作的影响。研究发现:(1)1985—2019年,中国城市知识复杂度逐年增加,且空间分布不均衡,总体呈现“东高西低、南高北低”的态势;(2)专利知识复杂度与合作之间存在着显著正相关的关系,这表明专利复杂度的增加促进了创新合作;(3)复杂性和城市间合作之间存在显著的负相关关系,这说明复杂知识具有一定的空间粘性,相较于复杂度较低的知识,复杂度较高知识的合作更倾向于“本地合作”而非“城际合作”。论文从复杂知识发明的角度为中国区域创新发展的不平衡提供了进一步的解释。
Knowledge production is widely recognized as a critical source of long-term economic growth.However,the increasing complexity of contemporary knowledge production requires inputs exceeding that of the individual.This knowledge burden is dampened to some degree by collaboration.Yet,there is little empirical evidence on the relationship between complexity and collaboration,especially in China.By using the data of more than 3.0 million Chinese patents from the China National Intellectual Property Administration on 297prefecture-level cities and above in China during the period from 1985 to 2019,this study explored the spatial and temporal evolution of patent complexity and examined the relationship between knowledge complexity and innovation collaboration in Chinese cities.The empirical analysis revealed that:1)complexity was increasing and was spatially unevenly distributed during this period with an overall trend of high in the east and low in the west,and high in the south and low in the north;2)there was a robust positive relationship between complexity and collaboration,suggesting that the increase of complexity can contribute to innovation collaboration;and 3)there was a negative and significant relationship between complexity and inter-city collaboration,indicating that complex knowledge is"stickier"than less complex knowledge,and increasing complexity is associated with local rather than nonlocal collaboration.
作者
陈妍
张紫瑄
谷人旭
成新宇
CHEN Yan;ZHANG Zixuan;GU Renxu;CHENG Xinyu(The Center for Modern Chinese City Studies,East China Normal University,Shanghai 200062,China;School of Urban and Regional Science,East China Normal University,Shanghai 200241,China;School of Computer Science and Engineering,Southeast University,Nanjing 210000,China)
出处
《地理科学进展》
CSSCI
CSCD
北大核心
2023年第3期428-437,共10页
Progress in Geography
基金
华东师范大学未来科学家和优秀学者培育计划项目(WLKXJ202009)。
关键词
创新合作
知识复杂度
本地合作
城际合作
innovation collaboration
knowledge complexity
intra-city collaboration
inter-city collaboration
