| 中国海洋科技创新效率省际差异及驱动因素分析 |
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| 引用本文： | 鲁亚运,唐李伟,李杏筠.中国海洋科技创新效率省际差异及驱动因素分析[J].科技管理研究,2020,40(11):59-65. |
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| 作者姓名： | 鲁亚运 唐李伟 李杏筠 |
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| 作者单位： | 广东省海洋发展规划研究中心,广东广州 510220;湖南师范大学数学与计算机科学学院,湖南长沙 410080 |
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| 基金项目： | 本论文受2018年广东省促进经济发展专项项目“海洋产业创新调查与分析”[GDME-2018E008]、2019年广东省促进经济发展专项资金“海洋经济高质量发展运行监测”[GDOE-2019A47]、湖南省社会科学基金一般项目“环境绩效测度模型的构建与应用研究”[16YBA284] 等项目基金支持。 ,唐李伟2,李杏筠1 |
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| 摘 要： | 运用随机前沿模型测算2011—2016年中国沿海11个省市海洋科技创新投入产出效率,并引入时滞效应分析创新效率的驱动因素。结果显示,海洋科技创新中资金投入比人员投入占有更重要的地位,海洋科技创新效率处于规模报酬递减阶段,海洋科技创新效率省际差异较大;海洋科技人员素质对于创新效率有1年的滞后效应;海洋科研经费投入强度、海洋产业结构水平、外商投资利用水平与海洋科技创新效率正相关,海洋科研人员素质与海洋科技创新效率负相关;海洋科研投入强度和海洋产业结构水平分别是影响高效率和低效率的主要因素。
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| 关 键 词： | 海洋科技 随机前沿模型 创新效率 时滞效应 |
| 收稿时间： | 2019/8/4 0:00:00 |
| 修稿时间： | 2019/8/23 0:00:00 |
Research on the Interprovincial Differences and driving factors of China"s Marine Science and Technology Innovation Efficiency |
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| Abstract: | The innovation of marine science and technology leads the development direction of marine industry and is the first driving force to promote the development of marine economy. It is of great practical significance to study the efficiency of marine scientific and technological innovation in order to promote the high-quality development of marine economy. The input-output efficiency of marine science and technology innovation in 11 coastal provinces and municipalities of China from 2007 to 2016 is estimated by using stochastic frontier model. The effect of factors influencing innovation efficiency is analyzed considering the time lag effect, and the convergence of innovation efficiency is studied. The results show that: In terms of output level of marine science and technology innovation, Shanghai, Shandong and Guangdong rank the top three in China, but Liaoning, Shanghai and Guangdong rank the top three in innovation efficiency. The investment in marine science and technology innovation is more important than that of scientific researchers, the efficiency of marine science and technology innovation is in the stage of diminishing returns to scale, and the efficiency of marine science and technology innovation varies greatly among provinces in the period of 2011-2016. The quality of marine science and technology personnel has a one-year lag effect on innovation efficiency. The investment intensity of marine scientific research funds, the level of marine industrial structure, the level of foreign investment and utilization are positively correlated with the efficiency of marine scientific and technological innovation. The quality of marine scientific researchers is negatively correlated with the efficiency of marine scientific and technological innovation. The structure and division of labor of marine scientific researchers need to be optimized urgently. The factors affecting the efficiency of marine scientific research vary from region to region. The intensity of investment in marine scientific research and the level of marine industrial structure are the main factors affecting the high efficiency and low efficiency respectively. |
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| Keywords: | marine science and technology stochastic frontier model innovation efficiency time lag effect |
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