摘要
创新驱动发展战略是中国改革开放以来提出的重要议题,科技创新能力是衡量地区发展能力的关键指标。以我国东部12个省份为研究对象,运用逼近理想解排序法(TOPSIS)识别高权重指标、对评价对象的贴近度进行测算,并以此为参照,进一步通过对抗解释结构模型(AISM)对研究对象进行优劣层级划分。结果表明:工业企业R&D项目数、地方财政预算、R&D经费投入是影响区域科技创新能力的重要因素,且各省份之间表现差异较大。广东省科技创新水平较高;江苏、北京、浙江、上海、山东、天津、福建、河北8省份科技创新水平依次递减;辽宁、广西、海南3省份排名靠后,地区科技水平还有待加强。因此,未来应侧重于短板因素提升,并加强资金监管、人才管理、产业结构改革等方面综合发展。
The strategy of innovation-driven development is an important issue put forward since China's reform and opening up.It is the key indicators to measure regional development capacity.Twelve Provinces(including municipalities directly under the central government)in eastern China were selected as the research objects.The technique for order preference by similarity to idealsolution(TOPSIS)is used to identify the high weight index and to evaluate the closeness of the object.With this as a reference,the research object is further analyzed through the antagonistic interpretative structural model(AISM).Hierarchy of advantages and disadvantages.the results show that the number of R&D projects in industrial enterprises,local financial budget,R&D investment,Investment is an important factor affecting regional scientific and technological innovation capability,and there are great differences among provinces.The level of science and technology innovation is relatively high in Guangdong Province;the level of science and technology innovation in eight provinces or cities,Jiangsu,Beijing,Zhejiang,Shanghai,Shandong,Tianjin,Fujian and Hebei,in decreasing order.Liaoning,Guangxi and Hainan provinces rank low,and the regional scientific and technological level needs to be strengthened.Therefore,the future research should focus on the enhancement of shortage factors and the comprehensive development of fund supervision,talent management,and industrial structure reform.
出处
《现代管理科学》
北大核心
2021年第8期3-12,共10页
Modern Management Science
基金
国家自然科学基金资助项目“深部煤矿多灾种安全评价方法与应用研究”(项目编号:71971003)
国家社科基金重大项目“全面建立资源高效利用制度研究”(项目编号:20ZDA084)
安徽省高等学校人文社会科学研究项目“基于GA-BP的深部煤矿灾害评价研究”(项目编号:SK2019ZD09)。
