根据国家科技重大专项以突破重点战略性新兴产业关键技术阻碍、与国家重大工程相承接的目标，为系统研究影响其知识产权育成的因素，通过文献研究、专家访谈提取17个主要影响因素，并基于对抗解释结构模型进行建模，通过一组具有博弈关系的有向拓扑层级图对各影响因素之间的层级结构和相关关系进行综合分析。研究发现：突破性创新、创新投入、市场机会、自主创新能力是最根本的因素，知识产权应用和产业化是最终因素；存在3个要素间相互影响的因果回路，其中创新投入和创新战略密不可分、相辅相成，风险预警、管理保护和市场竞争互为因果、同时发挥作用，创新成果、自主知识产权、产权升级和衍生创新具有重要地位。据此对重大专项知识产权育成提出注重立项审查、加强资源投入，建立全创新链知识产权育成全过程管理制度，以及进一步完善监测评价机制等对策建议。

According to the goal of the national science and technology major project to break through the key technological barriers of key strategic emerging industries and to undertake the major national projects, in order to systematically study the factors affecting its intellectual property breeding, we extracted 17 major influencing factors through literature research and expert interviews, and Modeling is based on a confrontational interpretation structure model, and we comprehensive analyze the hierarchical structure and related relationships among influencing factors is carried out through a set of directed topological hierarchical diagrams with game relationships. The research found that: breakthrough innovation, innovation investment, market opportunities, and independent innovation capabilities are the most fundamental factors, and intellectual property application and industrialization are the final factors; there are three causal loops of mutual influence among these elements, among which innovation investment and innovation strategy are closely related. Risk Warning, management protection, and market competition are mutually causal and play a role at the same time. Innovation achievements, independent intellectual property rights, property rights upgrades and derivative innovations play an important role. Based on these finds, we put forward countermeasures and suggestions on major special intellectual property rights development, such as focusing on project review, strengthening resource input, establishing a management system for the whole innovation chain of intellectual property rights development, further improving the monitoring and evaluation mechanism.

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本文为国家重点研发计划资助项目“科技成果与数据资源产权交易技术”的研究成果,(项目编号:2017YFB1401100,项目起止时间:2017.12-2020.12)。