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Appraisal of Science and Economic Factors on Total Number of Granted Patents

机译:授予专利总数的科学和经济因素评估

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The number of granted patents, as an innovation output at macro level, may be influenced by different factors. In this study the total number of granted European patents was analyzed based on key science and economic factors, i.e. innovation potential indicators. Nine input factors were considered: total number of researchers in the higher education sector, total number of researchers in the government sector, total number of researchers in the business enterprise sector, research and development (R&D) expenditure in the higher education sector, R&D expenditure in the government sector, human resources in science and technology, employment rate, unemployment rate and gross domestic expenditure on R&D. The main goal was to determine which factor has the highest impact on the number of the granted patents. The total number of the granted patents belongs to the electrical engineering, instruments, chemistry, mechanical engineering and other fields. Adaptive neuro-fuzzy inference system (ANFIS) was used as the searching methodology. In general the total number of researchers in the business enterprise sector is the most influential factor for the total number of granted patents.
机译:作为宏观创新成果的授权专利数量可能会受到不同因素的影响。在这项研究中,根据关键的科学和经济因素(即创新潜力指标)分析了已授予的欧洲专利总数。考虑了九个输入因素:高等教育部门的研究人员总数,政府部门的研究人员总数,商业部门的研究人员总数,高等教育部门的研究与开发(R&D)支出,R&D支出在政府部门,科技方面的人力资源,就业率,失业率和国内研发总支出。主要目标是确定哪个因素对授权专利的数量影响最大。授予的专利总数属于电气工程,仪器仪表,化学,机械工程等领域。自适应神经模糊推理系统(ANFIS)被用作搜索方法。一般而言,企业部门研究人员的总数是授予专利总数影响最大的因素。

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