基于科学的产业创新主体专利合作伙伴识别研究

近年来,发展基于科学的产业已成为全球科技和产业竞争的焦点。基于科学的产业具有开放式创新特点,产业创新主体致力于寻找合作伙伴以充分利用外部资源。专利信息涵盖丰富的技术信息、法律信息及经济信息,是创新主体寻找合作伙伴并开展创新合作的重要资源,但鲜有学者运用专利信息研究基于科学的产业创新问题。构建基于科学的产业专利合作伙伴识别研究框架,以石墨烯这一典型的基于科学的产业为例,采用专利技术组合和社会网络分析方法,从行动者网络理论的4个行动者转译环节出发,全面展现我国石墨烯产业中最具潜力的国内和跨国专利合作伙伴识别过程,以挖掘专利合作机会并提高企业竞争优势。最后,从政府、高校、企业3个层面为我国石墨烯产业创新发展提供决策参考。     

Knowledge technological proximity: evidence from US and European patents

The purpose of this paper is to explore the correlation between the technological proximity measures in three areas: USA, Japan and the Europe. In each economic area, we use information from two international patent systems to construct the technological proximity for 240 large international firms. In particular, we select firms’ patents from United States Patent and Trademarks Office data and European Patent Office data. In order to compute the technological proximity, we follow the methodology developed by Jaffe [1986. “Technological Opportunity and Spillovers of R&D: Evidence from Firms’ Patents, Profits and Market Value.” American Economic Review 76 (5): 984–1001], where a technological vector is based on the distribution of patents of each firm across technology classes. Since the Jaffe distance assumes that spillovers only occur within the same technology class, but rules out spillovers between different classes, we develop also a distance measure which exploits the Mahalanobis norm to identify the distance between different technology classes based on the frequency that patents are taken out in different classes by the same firm. The contribution to the existing literature is to investigate the robustness of the technological proximity measure and the extent to which it may be affected by patent system features.     

Multivariate multiple regression modelling for technology analysis

Technology analysis is important for technology management areas such as research and development strategy and new product development. So many studies on technology analysis have been used across a diverse array of fields. Most of these were based on patent analysis, which analyses patent documents using text mining and statistics. The studies on conventional patent analyses constructed models consisting of various independent variables (technologies) and one dependent variable. But in reality, we have to consider a model that includes several dependent variables at the same time, because most technologies influence each other. In this paper, we propose a methodology for patent analysis that reflects the various response technologies simultaneously. We perform multivariate multiple regression modelling in order to efficiently conduct our technology analysis. To show how our modelling can be applied to realistic context, we carry out a case study using the patent documents related to three-dimensional printing technology.     

Dynamic analysis of patent policy in an endogenous growth model

In this paper, we explore the dynamic properties of an endogenous growth model with finite patent length. We show that there exists a unique equilibrium growth path and that this path exhibits damped oscillations in contrast to the equilibrium path of an endogenous growth model with infinite patent length. We also examine the effects of patent policy on social welfare and show that infinite patent length does not maximize social welfare. Furthermore, we show that, in a growth model that does not exhibit scale effects, a finite patent length maximizes social welfare on the balanced growth path.     

基于元路径的专利组合挖掘与分析方法研究

随着全球知识密集型产业转型升级不断推进,日益剧烈与复杂的技术竞争环境使以专利组合为基本研究单元的技术战略分析逐渐成为学界和业界关注焦点。现有研究主要从正向角度讨论专利组合的构建动因、构建方法等问题。但鉴于目前复杂的技术环境,若能够从竞争对手拥有的庞大专利集合中反向挖掘出其具有特定战略意图的专利组合结构,对于实施相应技术防御与突破技术封锁手段同样具有重要意义。因此,首先基于专利组合内专利间存在的技术关联关系,重构专利技术信息的知识表达,探索该知识结构下的专利组合元路径特征,开发一套基于元路径挖掘的专利组合识别算法;然后,进一步梳理整合不同专利组合类型与企业专利攻防战略间的关系,以此为企业专利战略分析与实施提供指导;最后,以非全氟化质子交换膜领域为例进行实证研究,为我国非全氟化质子交换膜产业安全与企业发展提出应对建议。     

A study on the relationship between technology diffusion and new product diffusion

This study investigates the relationship between “technology diffusion” and “new product diffusion”. We define “technology diffusion” as a knowledge spillover process, which is represented by patent citation, and “new product diffusion” as the spread of a new product that has been developed by the application of patented technology. To investigate the relationship between the two types of diffusion, we use patent citation data of code division multiple access (CDMA) technology and market sales data of mobile phones in South Korea for the analysis. The results show that the diffusion of technology through patent citation could be successfully explained by empirical analysis, for which the Bass diffusion model was used. Moreover, we can find out if technology diffusion can be the leading indicator of a new product's diffusion before its launching; in other words, before the commercialization of the patent.     

A great wall of patents: What is behind China's recent patent explosion?

China's patent surge, documented in this paper, is seemingly paradoxical given the country's weak record of protecting intellectual property rights. Using a firm-level data set that spans the population of China's large and medium-size industrial enterprises, this paper explores the factors that account for China's rising patent activity. While the intensification of research and development in the Chinese economy tracks with patenting activity, it explains only a fraction of the patent explosion. The growth of foreign direct investment in China is prompting Chinese firms to file for more patent applications. Amendments to the patent law that favor patent holders and ownership reform that has clarified the assignment of property rights also emerge as significant sources of China's patent boom. These results are robust to alternative estimation strategies that account for over-dispersion in the patent counts data and firm heterogeneity.     

Properties of knowledge base and firm survival: Evidence from a sample of French manufacturing firms

The paper analyzes the effects of the properties of firms' knowledge base on the survival likelihood of firms. Drawing upon the analysis of the patterns of co-occurrence of technological classes in patent applications, we derive the coherence, variety and cognitive distance indexes, accounting respectively for technological complementarity, differentiation and dissimilarity in the firms' patent portfolios. The results of our analysis are in line with the previous literature, showing that innovation enhances the survival likelihood of firms. In addition, we show that the search strategies at work in the development of firms' knowledge base matter in reducing the likelihood of a failure event. Knowledge coherence and variety appear to be positively related to firms' survival, while cognitive distance exerts a negative effect. We conclude that firms able to exploit the accumulated technological competences have more chances to be successful in competing durably in the market arena, and derive some policy implications concerning the role of public intervention in the orientation of search efforts in local contexts.     

An integrated indicator system for patent portfolios: evidence from the telecommunication manufacturing industry

Against the background of ‘patent portfolio races’ in industries such as telecommunications, this paper proposes a set of patent portfolio indicators to measure patents’ scale and diversity. This indicator system is used in a time series to analyse the patenting activity and technology strategy of the world’s top 20 firms in the telecommunication manufacturing industry, based on a large data set from United States Patent and Trade Office. In combination with composite and relative measures, we identify the firms’ comparative positions in patenting activity. The paper adds to the ongoing discussion about, and enriches the theory of, patent portfolios.     

International Knowledge Flows: Evidence From Patent Citations

This paper explores the patterns of citations among patents taken out by inventors in the U.S., the U.K., Francc. Germany and Japan. We find (I) patents assigned to the same firm are more likely to cite each other, and come sooncr than other citations; (2) patents in the same patent class are approxinlatcly 100 titlles as likely to cite each other as ydtents froin different patent classes, but there is not a strong time pattern to this effect; (3) patents whose inventors reside in the same country are typically 30 to 80% more likely to cite each other than inventors from othcr countrics, and these citations come sooner; and (4) there are clear country-specific citation tendencies, e.g., Japanese citations typically come sooner than those of othcr countries.     

New Technology-Based Firms In Sweden - A Study Of Their Direct Impact On Industrial Renewal

The purpose of this paper is to analyse some of the ways in which new tcchnology-bascd firms (NTBFs), started after 1975, have contributed to the process of industrial renewal in Sweden. For this purpose, we have developed a novel way of operationalizing the concept of NTBFs and of identifying the population of such companies in Sweden. The method relies heavily on unique data on the educational background of the firm's staff. We found that NTBFs constitute a relatively small but growing phenomenon in Sweden. Although small in magnitude, the firms have contributed to industrial renewal by increasing the knowledge-intensity and science base of Swedish industry and industry-related services. They have also contributed somewhat to the redirection of the knowledge base in Sweden in favour of skills which are central to the innovation process in growth sectors, primarily computer science skills.     

International Knowledge Diffusion and Home‐bias Effect: Do USPTO and EPO Patent Citations Tell the Same Story?*

This paper estimates the international diffusion of technical knowledge using patent citations. We control for self‐citations and for procedural differences between patent offices using equivalent patents. We find that (1) there are clear biases in patent examination processes that generate citations in the two offices; (2) at the EPO there is a strong localization effect at the country level, and the size is comparable to that found at the USPTO; (3) technological fields have different properties of diffusion in the two patent offices that do not depend on a patent office bias; (4) using EPO data, the US is not the leading country in terms of citations made and received, as occurs at the USPTO.     

Vacant technology forecasting using new Bayesian patent clustering

Vacant technology forecasting (VTF) is a technology forecasting approach to find technological needs for given industrial field in the future. It is important to know the future trend of developing technology for the R&D planning of a company and a country. In this paper, we propose a new Bayesian model for patent clustering. This is a VTF methodology based on patent data analysis. Our method is composed of Bayesian learning and ensemble method to construct the VTF model. To illustrate the practical way of the proposed methodology, we perform a case study of given technology domain using retrieved patent documents from patent databases in the world.     

Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology

The potential of technology fusion has been advanced as a promising breakthrough function to create hybrid technologies. Despite its importance, however, the evolutionary path of technology fusion is yet unexplored. In this paper, by employing the case of nanobiotechnology, we attempt to deepen understanding of the development trajectories of technology fusion in three important aspects. The first aspect is the development of an index that measures the degree of fusion of cross-disciplinary technology at the meso level. The second aspect is to classify the trajectory patterns of technology fusion in terms of fusion degree. We analyze fusion mechanism by utilizing citation network analysis. The third aspect is to visualize the relationship between patents and their backward and forward patent citations, at the patent class level, with their direction on a citation map. This facilitates understanding of the overview as well as fusion patterns. The changes in fusion patterns are analyzed using time series comparisons. An empirical analysis in the nanobiotechnology field shows no positive relationship between the inflow and outflow degree of fusion. We also observe changes in the trajectory patterns of fusion over time. Analysis demonstrates that each fusion pattern has evolved in such a way that technologies focus more on their niche technologies, and that those technologies which cannot incorporate the technology fusion have been eliminated during the development process.     

Patent Protection,Innovation and Technology Licensing

We show that the common wisdom suggesting higher investment in innovation under a stronger patent protection may not be true if the innovator can license its technology ex‐post innovation. If the initial cost of production is high and the slope of the marginal cost of undertaking innovation is moderate, investment in innovation is maximised at a patent protection that is weaker than the strongest patent protection. Otherwise, strongest patent protection maximises investment in innovation. We also show that welfare is maximised neither at the strongest patent protection nor at the weakest patent protection but at an intermediate patent protection. Our results are important for patent policies.     

太阳能技术的合作专利分析及对策

低碳经济已经成为国际经济发展的新要求,因此,低碳技术开发日益受到世界各国的重视。太阳能技术是一种典型的低碳技术,我国经过10几年的发展,在太阳能领域取得了举世瞩目的成就,但因缺乏核心技术,目前面临着严峻的挑战。由于专利分析能客观地评价技术创新与合作水平,因此,为更好地促进我国太阳能技术的发展,基于专利分析法,对我国太阳能合作专利数据进行了分析。结果表明:我国太阳能技术的跨机构技术联系较少,"产学研"创新体系尚不成熟;政策扶持对于太阳能这种新兴低碳技术有较大的影响力;国内太阳能专利授权的技术领域主要集中在太阳能热利用,而在光伏领域的合作较少;太阳能合作专利存在较大的区域差异,应该进一步加强区域之间的技术合作和技术转移:应该加强国际技术合作。     

Meanings and practices of learning from incidents: a social constructivist perspective of incident reporting systems

Incident reporting systems (IRSs) are used in many organisations as tools that promote safety by allowing to collectively learn from incidents. In this paper, we propose a social constructivist approach to learning from incidents, in which the focus is not purely on safety, but on the technology of incident reporting itself. We employ Wiebe Bijker’s work on the Social Construction of Technology to open up the analysis of a specific IRS in use at the Belgian Nuclear Research Center. For this purpose, we carried out 28 interviews with key local actors and collected documents and observation notes. Such social constructivist perspective provides detailed insight into the practices of reporting and the meanings of learning from incidents. Our research shows that various actors within the organisation frame the IRS differently. These framings each have their own implications for the vulnerability of the organisation.     

专利转化特征精准识别与预测——以人工智能芯片为例

探讨前沿科技领域专利转化特征并对其进行精准识别与预测，对于我国破解“卡脖子”技术难题及实现科技自立自强具有重要意义。选取人工智能芯片专利领域，采用机器学习算法测度最优转化预测方案，分析全球范围内主要国家或地区专利成功转化影响因素，从企业/高校、国内/国际等不同层面总结专利成功转化的主要特征。结果发现：随机森林算法预测效果较好，人工智能芯片领域专利转化概率服从对数曲线分布，影响高校/企业、国内/国外专利转化特征的因素有所不同。最后，提出高校/科研机构应注重高价值专利维持和团队合作、企业应提升专利技术质量和撰写质量等政策建议。     

Patent text mining and informetric-based patent technology morphological analysis: an empirical study

Patent technology morphological analysis utilises the advantages of both patent information analysis and morphological analysis to provide more detailed information on current and future patent technology. Current patent technology morphological analysis methods are largely reliant on manual expertise in the construction of morphological boxes with few approaches to the evaluation of future morphological configurations. We developed a patent text mining and informetric-based patent technology morphological analysis technique. We defined the basic parameters of the morphological box as the factors in factor analysis, with a patent keywords matrix, and the clusters in clustering analysis with factor scores. Patent citation, year of patent registration, keyword frequency, and contributing factors were used to evaluate future morphological configurations. We used an empirical study of liquid crystal display wide viewing angle patents to validate our method. The Thomson Reuters Derwent Innovation Index was used to collect patent text datasets. Our study indicates that this method is feasible for the implementation of patent technology morphological analysis. Our method provides advantages in terms of cost and time reductions during morphological box construction and more flexible methods for evaluating morphological configurations. We discuss problems and possible development of our method in the last section.