【摘要】 [目的 /意义]系统梳理与比较当前专利密集型产业技术创新能力评价研究现状,为建立完善我国专利密集型产业技术创新能力评估体系提供参考。[方法 /过程]本研究通过国内外文献调研与网络调查,在解析专利密集型产业内涵的基础上,从评价指标研究、评价方法研究及实证研究3个方面,总结当前专利密集型产业技术创新能力评价研究现状。[结果 /结论 ]结合现有产业技术创新能力评价研究成果分析发现:当前专利密集型产业技术创新能力评价指标的针对性和适用性不够突出;评价方法相对单一,多采用DEA法测度专利密集产业的创新效率;实证数据多为二手数据并局限于国民经济数据,且研究视角过于宽泛。建议未来研究充分考虑专利密集型产业专利数量密集性和对专利制度依赖性的特征,吸纳更多反映产业专利实力及经济贡献的评价指标;积极探索科学、有效、全面的评价方法,多角度综合评价专利密集型产业的技术创新能力;挖掘与整合专利密集型产业技术创新能力评价的多源数据及其他反映专利密集型产业专利质量及专利保护水平的专利数据,可基于区域视角和细分行业视角开展实证研究。更多还原

【Abstract】 [Purpose/significance] Sorting out the research on the evaluation of technological innovation capabilities in patent-intensive industries will help establish and improve its evaluation system for technological innovation capabilities. [Method/process] By using the methods of literature review and online survey,the research firstly analyzed the definition and characteristics of patent-intensive industries, and then focused on the status quo of researches on the evaluation of technological innovation capabilities of patent-intensive industries from perspectives of evaluation indicators, evaluation models and empirical studies. [Result/conclusion] Combined with the research results of the existing industrial technological innovation capabilities, it is found that existing evaluation indicators’ pertinence and applicability are poor; Also, the evaluation method is too simple, only DEA method is used to measure the innovation efficiency of patent-intensive industries;Besides, most empirical data is secondary data and national economic data, also the research perspective is a little bit broad. It is suggested that future research should fully consider the characteristics of patent-intensive industries, adding more indicators that can reflect the industries’ patent strength and it’s economic contribution into the evaluation index system; actively exploring scientific, effective and comprehensive evaluation methods; utilizing and integrating the multi-source data for evaluating patent-intensive industry’s technological innovation capabilities and other patent data reflecting the quality and level of patent protection of the patent intensive industries, and based on regional and sub-industries perspectives to conduct empirical research.更多还原