摘要
以我国30个省域为研究对象,以万人发明专利授权量为衡量指标,运用基尼系数、集中度指数、空间自相关和空间计量模型探究我国省域创新能力的时空演变特征及其影响因素。研究表明:各省创新能力在2007—2018年间整体上有所提升,空间分布格局呈现由沿海到内陆阶梯降低的形态;省域间创新能力水平表现出显著的空间正相关性,创新能力集聚性明显;经济发展水平、基础设施水平、对外开放度、政府支持及创新投入对省域创新能力具有显著的正向促进作用,东中西三大地带创新能力影响因素存在差异,需因地制宜制定适合各自的创新能力提升对策。
Taking 30 provinces of China as the research object,and taking the number of 10000 invention patents granted as the measurement index,the gini coefficient,concentration index,spatial autocorrelation and spatial econometric model are used to explore the spatial-temporal evolution characteristics and influencing factors of China’s provincial innovation capacity.The research shows that the innovation capacity of provinces has been improved on the whole from 2007 to 2018,and the spatial distribution pattern is reduced from the coastal to the inland.The innovation ability level among provinces shows significant positive spatial correlation and innovation ability aggregation is obvious.The level of economic development,the level of infrastructure,openness to the outside world,government support and innovation investment have a significant positive effect on the innovation ability of the province.There are differences in the influencing factors of innovation ability in the eastern and Western regions,so it is necessary to work out appropriate measures to improve innovation ability according to local conditions.
作者
王琴梅
赵婧如
WANG Qinmei;ZHAO Jingru(International Business School,Shaanxi Normal University,Xi’an 710119)
出处
《中国科技资源导刊》
2021年第6期81-91,共11页
China Science & Technology Resources Review
关键词
省域创新能力
时空演变
莫兰指数
空间杜宾模型
区域差异
provincial innovation ability
spatio-temporal evolution
moran’s I
spatial durbin model
regional differences
