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| Selection of Policy Tools for Intellectual Property Strategies Based on Semantic Recognition |
| Lin Deming, Wang Yukai, Ding Kun |
| Institute of Science of Science and S&T Management, Dalian University of Technology, Dalian 116024 |
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Abstract This study focuses on the selection of policy tools for Chinese intellectual property (IP) strategies. A creative method that integrates the bibliometric method of policy documents and deep learning method of semantic recognition is proposed to investigate how policy tools are matched in the annual IP strategy promotion plan, with specific reference to the IP strategy targets and guiding policy tools in the programmatic IP strategy documents. The results indicate that the matching reflects the status and evolution of policy tools options based on the IP strategy targets and IP strategy execution. To sum up, the choice of policy tools for the implementation of Chinese IP strategies is better matched with the strategic goals and guidance policy tools of each phase, but the option of compulsive policy tools is very extensive. The best matched policy tools with strategy targets are conducting patent information retrieval analysis and improving the efficiency and quality of intellectual property rights (IPR) examinations. The best matched policy tools with strategy execution are enhancing the judicial protection of IP and actively participating in the cooperation and exchange of international IP. Conversely, the improvement of the less matched policy tools containing the IP pilot project, training of IP talents and relative base, policy tools of agriculture and forestry IP, and so on is urgently required.
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Received: 02 January 2018
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1 刘华, 孟奇勋. 知识产权公共政策的模式选择与体系构建[J]. 中国软科学, 2009(7): 10-18.
2 赵筱媛, 苏竣. 基于政策工具的公共科技政策分析框架研究[J]. 科学学研究, 2007, 25(1): 52-56.
3 ElmoreR F. Instruments and strategy in public policy[J]. Review of Policy Research, 1987, 7(1): 174-186.
4 HowlettM, RameshM. Studying public policy: Policy cycles and policy subsystems[J]. American Political Science Association, 2009, 91(2): 548-580.
5 RothwellR, ZegveldW. Reindustrialization and technology[M]. Longman: M.E. Sharpe, 1985.
6 崔建军, 王利辉. 不同货币政策工具选择与有效性分析——以价格型和数量型为例[J]. 大连理工大学学报(社会科学版), 2017, 38(1): 43-51.
7 KhannaM, QuimioW R H, BojilovaD. Toxics release information: A policy tool for environmental protection[J]. Journal of Environmental Economics and Management, 1998, 36(3): 243-266.
8 魏国, 张振改, 严绍龙. 义务教育师资均衡政策工具的动态演变[J]. 教育理论与实践, 2017, 37(13): 34-37.
9 张雅娴, 苏竣. 技术创新政策工具及其在我国软件产业中的应用[J]. 科研管理, 2001, 22(4): 65-72.
10 黄萃, 苏竣, 施丽萍, 等. 政策工具视角的中国风能政策文本量化研究[J]. 科学学研究, 2011, 29(6): 876-882, 889.
11 罗敏, 朱雪忠. 基于政策工具的中国低碳政策文本量化研究[J]. 情报杂志, 2014, 33(4): 12-16.
12 MikolovT, ChenK, CorradoG, et al. Efficient estimation of word representations in vector space[OL]. http://arxiv.org/abs/1301.3781.
13 Mikolov T, Sutskever I, Chen K,et al. Distributed representations of words and phrases and their compositionality[C]// Proceedings of the International Conference on Neural Information Processing Systems. Granada: Curran Associates Inc., 2013, 26: 3111-3119. |
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