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作 者:文洪江 WEN Hongjiang(School of Business,Suzhou University,Suzhou 215031,Jjiangsu,China;Urumqi Technology Innovation R&D and Transformation Center of Scientific and Technological Achievements,Urumqi 830000,China)
机构地区:[1]苏州大学商学院,江苏苏州215031 [2]乌鲁木齐市技术创新研发与科技成果转化中心,乌鲁木齐830000
出 处:《科技和产业》2025年第2期346-355,共10页Science Technology and Industry
基 金:新疆维吾尔自治区自然科学基金(2022D01F79)。
摘 要:以2012—2021年全国30个省份(因数据缺失,未包含西藏地区和港、澳、台地区)面板数据样本为基础,运用三阶段数据包络分析(DEA)方法测度科技创新效率,并探究科技创新效率的和空间相关性和驱动作用机制。结果显示,我国科技创新效率处于发展不平衡不充分状态,整体上呈现东部地区科技创新效率高于中部地区高于西部地区的态势。研究发现,环境影响因素和随机噪声对科技创新效率测度具有较大的影响和干扰。从空间关联性看,科技创新效率高的地区带动科技创新效率低的地区的整体局面还未形成。进一步分析表明,经济发展水平、科技人员专业素质、科研机构创新能力、技术输出对科技创新效率具有正向影响;科研经费支出、企业创新能力和技术吸纳对科技创新效率具有负向影响,以此为基础提出对策建议。Based on the panel data samples of 30 provinces(due to the lack of data,the statistical data mentioned here do not include the Tibet Autonomous Region,the Hong Kong Special Administrative Region,the Macao Special Administrative Region and Taiwan Province)in China from 2012 to 2021,the three-stage DEA was used to measure S&T innovation efficiency,explored its spatial autocorrelation and the driving mechanism of S&T innovation efficiency.The results show that China’s S&T innovation efficiency is in an unbalanced and insufficient state,and on the whole,the S&T innovation efficiency in the eastern region is higher than that in the central region,which is higher than that in the western region.It is found that environmental factors and random noise have a significant impact and interference on the measurement of S&T innovation efficiency.From the perspective of spatial correlation,regions with high S&T innovation efficiency have not driven the overall situation of regions with low S&T innovation efficiency.Further analysis shows that the level of economic development,professional quality S&T personnel,innovation ability of scientific research institutions and technology export have a positive impact on S&T innovation efficiency.It is also found that expenditure,enterprise innovation ability and technology absorption have a negative impact on S&T innovation efficiency.Based on this,countermeasures and suggestions are proposed.
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