摘要
具有高价值且难以被复制的复杂知识被作为技术进步的关键因素,它越来越成为产业结构升级的核心动力.借鉴P.A.Balland等的做法,利用行业专利数据,测度了2007—2016年中国区域知识复杂度,在此基础上从集聚效应与吸收效应双重路径剖析知识复杂度对产业结构升级的内在作用机制.研究结果表明:各地区知识复杂度在空间上呈现东、中、西部依次递减格局,在时间上呈递增趋势且具有累积效应;区域拥有的核心知识越复杂,产业结构发展水平越高;知识复杂程度的提升可以借助集聚效应和吸收效应等方式间接地促进产业结构升级,且集聚效应的作用更为明显.
Complex knowledge with high value and difficult to be copied as a key factor in technological progress has increasingly become the core driving force for industrial structure upgrading.Based on P.A.Balland′s approach,using the industry patent data,the regional knowledge complexity of China from 2007 to 2016 is measured.On this basis,the internal mechanism of knowledge complexity for industrial structure upgrading is analyzed from the dual path of agglomeration effect and absorption effect.The study′s results show that the knowledge complexity of each region appears from the spatially decreasing pattern in the east,middle and west,increasing in time and having cumulative effects.The more complex is the core knowledge of the region,the higher is the level of industrial structure development.The improvement of complexity degree can indirectly promote the upgrading of industrial structure by means of agglomeration effect and absorption effect,and the function of agglomeration effect is more obvious.
作者
陶长琪
郭彦廷
TAO Changqi;GUO Yanting(School of Statistics,Jiangxi University of Finance and Economics,Nanchang Jiangxi 330013,China)
出处
《江西师范大学学报（自然科学版）》
CAS
北大核心
2020年第2期111-119,共9页
Journal of Jiangxi Normal University(Natural Science Edition)
基金
国家自然科学基金(71473109,71773041,71973055)
国家社会科学基金(18BJY001,19ZDA121)
江西省社会科学基金(19YJ15)
江西省教育厅科技课题(GJJ190248)资助项目。
关键词
知识复杂度
产业结构升级
中介效应
knowledge complexity
industrial structure upgrading
mediating effect
