| 基于动态投入产出网络法的生物制药专利技术分析 |
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| 引用本文： | 刘建华,管璐璐.基于动态投入产出网络法的生物制药专利技术分析[J].科技管理研究,2016(19):178-183. |
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| 作者姓名： | 刘建华 管璐璐 |
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| 作者单位： | 郑州大学管理工程学院,河南郑州,450000 |
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| 摘 要： | 生物制药作为一种高技术含量的知识密集型产业,专利申请对于新药研发显得尤为重要。从投入产出网络分析方法出发,通过测算专利技术群的技术感应力系数和技术影响力系数,以此来识别核心技术和前沿技术;然后运用动态投入产出模型,对各个技术群专利量的演化趋势进行预测。研究结果表明,IPC为C12N的技术群是生物制药技术网络中的前沿技术群和核心技术群,并预测出该技术群的专利量在未来几年的演化趋势。
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| 关 键 词： | 生物制药 核心技术 前沿技术 投入产出 动态 预测 |
| 收稿时间： | 2016/1/4 0:00:00 |
| 修稿时间： | 2016/10/4 0:00:00 |
Patent Analysis on Bio-pharmaceuticals Technology Based on Dynamic Input-Output Network Method |
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| Abstract: | The biopharmaceutical industry is a component of hi-tech industry, and patent applications is particularly important for R D of new drugs. To identify its frontier technology and core technology, this paper constructed input-output network analysis method of bio-pharmaceuticals technology network, and established recognition model for frontier technology and core technology. Then we forecasted the trend of the number of patents by constructing dynamic input-output model. The results show that the technology group of IPC C12N (Microbes or enzymes; The combination; Breeding, preservation or maintain microorganisms; Mutation or genetic engineering; medium) is the core and frontier technology of the Bio-pharmaceuticals technology, and the trend of the patent number of IPC C12N will maintain steady for the next five years. |
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| Keywords: | bio-pharmaceutical core technology frontier technology input-output dynamic forecast |
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