| 专利收益影响因素实证研究 |
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| 引用本文： | 专利收益影响因素实证研究.专利收益影响因素实证研究[J].科学学研究,2021,39(10):1850-1859. |
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| 作者姓名： | 专利收益影响因素实证研究 |
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| 作者单位： | 1. 厦门大学 知识产权研究院;2. 同济大学上海国际知识产权学院; |
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| 摘 要： | 专利收益具有动态性、随机性、不平衡性、相对性和隐蔽性等特征，是专利创造、运用、保护、管理和服务等的核心，与专利数量、质量和价值等关系密切。以中国授权、国内居民拥有的法定保护期于2019年届满的专利为研究对象，基于逻辑回归-BP神经网络模型对专利收益影响因素分析发现：专利主体特征对专利收益的影响程度最大，专利客体特征和专利事件特征对专利收益的影响程度相对较弱，且比较接近；主体特征中专利权人类型、专利权人所在地区经济状况和发明人数对专利收益的影响程度依次递减；客体特征中同族专利数、独立权利要求数和专利引证数对专利收益的影响依次递减；事件特征中专利审查时间、诉讼涉案数和专利被引数对专利收益的影响程度依次递减。
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| 收稿时间： | 2020-10-15 |
Research on Influencing Factors of the Patent Profit Based on the Logistic Regression-BP Neural Network Model |
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| Abstract: | The patent profit has characteristics of dynamic, random, unbalanced, relative and hidden, which is the core of patent creation, application, protection, management and service, and is closely related to patent quantity, quality and value. Taking patents granted by China and owned by domestic residents whose legal protection period expires in 2019 as the research object, based on the logistic regression-BP neural network model, the empirical analysis of influencing factors of the patent profit shows that: the patent subject characteristics have the greatest influence on the patent profit; the patent object characteristics and the patent event characteristics have a relatively weak influence on the patent profit and are relatively close; the influence degree of the patentee type, the economic status of the patentee’s region, and the inventor number in the patent subject characteristics on the patent profit orderly decreases; the influence degree of the patent family number, the independent claim number, and the patent citation in the patent object characteristics on the patent profit orderly decreases; the influence degree of the patent examination time, the litigation case number, and the patent cited number in the patent event characteristics on the patent profit orderly decreases. |
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