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.     

Technological and geographical proximity effects on knowledge spillovers: evidence from the US patent citations

The purpose of this paper is to investigate the pattern of knowledge flows as indicated by the patent citations in three areas: USA, Japan and Europe. In each economic area, we use information from United States Patent and Trademarks Office data to assess empirically the impact of the technological and geographical proximities for 530 international firms. In particular, the contribution to the existing literature is twofold: first, we use an international sample in such a way that we may compare the empirical results among different economic markets; second, we extend the analysis of the determinants of knowledge spillovers, taking into account the time dimension of the effects of the proximities. In order to compute the technological proximity, we follow the methodology developed by A.B. Jaffe (1986 Jaffe, A. B. 1986. Technological opportunity and spillovers of R&D: Evidence from firms’ patents, profits and market value. American Economic Review, 76(5): 984–1001. [Web of Science ®] , [Google Scholar]. Technological opportunity and spillovers of R&D: Evidence from firms’ patents, profits and market value. American Economic Review 76, no. 5: 984–1001), where a technological vector is based on the distribution of patents of each firm across technology classes. As far as the geographic proximity is concerned, we use the latitude and the longitude coordinates of the city in which each firm is situated to obtain the distance, in miles, between the firms. The empirical results, in line with results from previous studies, indicate that there is a statistically significant relationship between the knowledge flows, proxied by the patent citations, and the proximities, but the effects are rather differentiated according to the proximity type.     

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.     

How should firms carry out technological diversification to improve their performance? An analysis of patenting of Korean firms

This research aims to analyze how a firm's technological diversification strategies influence its financial performances, in terms of ‘technological diversification’ in broad technology sectors and ‘technological concentration’ on its own core technology, especially in the case of Korean large firms. The data used in the analysis were panel data encompassing the years between 1990 and 2006, which linked Korean firms’ patent information registered in the United States Patent and Trademark Office to the financial data of those firms collected from Korea Investors Service, Inc. (Kis-Value). For the estimation of the panel data, a fixed effect model, which considers the individual firms’ own effect on the financial performance, was used. Tobin's q was used as a dependent variable representing firm performance, while ‘broad technology diversity’ and ‘core technology diversity’ were used as the focal explanatory variables. The results show that a firm seeking to have more technological assets should invest in a broad technological diversification strategy in its search for new business opportunities; it should likewise concentrate on the core technology in order to maintain its financial performance.     

Anticipating technology-driven industry convergence: evidence from large-scale patent analysis

ABSTRACT

Industry convergence has been the subject of many prior studies, yet most have focused on certain domains based on ex post evaluation. This study presents a systematic approach to anticipating technology-driven industry convergence using large-scale patent analysis covering all technology fields. Our approach includes patent co-classification analysis with the concordance between patent classes and industrial sectors to measure technological relations between industries; centrality and brokerage analysis to identify the specific roles of technology fields in industry convergence; and finally link prediction analysis to anticipate technology-driven industry convergence. A case study with the patents issued by the United States Patent and Trademark Office from 1976 to 2014 confirms that our approach provides a holistic and forward-looking perspective on technology-driven industry convergence.     

The knowledge bases of the world’s largest pharmaceutical groups: what do patent citations to non-patent literature reveal?

This article examines the knowledge bases of the world’s largest pharmaceutical groups by sales. It builds upon the concepts of knowledge specialisation and knowledge integration as the relevant dimensions along which knowledge bases can be mapped. The former is studied developing indicators of breadth. Breadth is measured by analysing the evolution of specialisation by scientific field over time. It hints at the widening range of bodies of scientific and technological knowledge relevant to firms’ innovative activities. Knowledge integration is studied developing indicators of depth. Depth is measured by analysing the evolution of integration across different typologies of research. It hints at the complex, non-linear interdependencies that link the scientific and technological domains. We develop the analysis on the strength of an original database of 33,127 European Patent Office patents and 41,931 citations to ‘non-patent document’ (of which 19,494 were identified as scientific articles included in the ISI databases) of the 30 largest pharmaceuticals groups during the period 1990–1997. The groups studied seem to have incrementally increased the breadth of their knowledge bases, moving towards the fields proper to the new biopharmaceutical research trajectory. At the same time, some of the groups studied exhibit remarkable depth in knowledge integration in particular fields such as biotechnology, biochemical research and neurosciences.     

Patterns of technology life cycles: stochastic analysis based on patent citations

Patent analysis has been considered as an effective means of estimating phases of a technology life cycle. However, previous studies have not considered the dynamic and idiosyncratic aspects of a technology’s progression since they were based on deterministic methods, mainly fitting s- or double s-shaped curves to patent application counts. Moreover, previous methods cannot be executed at the individual patent level. We propose a stochastic technology life cycle analysis to trace the phases of a technology’s progression based on patent citations and identify the patterns of technology life cycles at the individual patent level. At the heart of the proposed approach are a hidden Markov model to estimate the probability of a system being at a certain hidden state from observation and cluster analysis to group a set of objects according to their similarities. A case study of patents about laser technology in lithography is presented.     

Valuation of patents in emerging economies: a renewal model-based study of Indian patents

ABSTRACT

This study uses patent renewal information to estimate the private value of patents. Patent value refers to the economic reward that the inventor extracts from commercialising the patented invention. Our empirical analysis comprises 555 patents with applications filed between 1999 and 2002. The term of these patents either ended in 2018 or lapsed due to non-payment of the renewal fee. We model the renewal decision of patentee as ordered probit where patent renewal fee increases with the age of the patent. Variables, such as patent family size, technological scope, number of inventors and grant lag, are used as explanatory variables in the corresponding regression. Hence, this paper combines the patentee’s renewal decision along with patents’ characteristics and renewal cost schedule to estimate the initial rent distribution. We find that a large number of patents expire at an early stage leaving few patents with high value corroborating the results of studies using European, American and Chinese data. As expected, patents from certain technology class enjoy high valuation.     

Graphical analysis of agricultural research spillover potential

This paper introduces two important extensions to the uncentered correlation metric, the commonly used metric proposed by Jaffe [1986. “Technological Opportunity and Spillovers of R & D: Evidence From Firms’ Patents, Profits, and Market Value.” The American Economic Review 76 (5): 984–1001] for analyzing research spillovers across firms or countries. First, it is shown that the Jaffe metric can be displayed graphically using the biplot, a graphical display of a two-dimensional approximation to any multidimensional matrix. Second, it is illustrated that since the data used to produce the Jaffe metric are constrained within the simplex (i.e. shares add up to one), then a theoretically superior metric satisfying the basic axioms of technological proximity measures in this sample space is the Aitchison distance measure, a metric based on log-ratios of shares. The findings of the paper using agricultural research and development spillover potential for Southern African countries show that the Jaffe metric overestimates the technological proximity across countries as compared to the proposed Aitchison measure.     

Knowledge Spillovers in Europe: A Patent Citations Analysis

This paper addresses the pattern of knowledge flows as indicated by patent citations between European regions. Our findings support the hypothesis that there are important barriers to knowledge flows in Europe. Patent citations occur more often between regions which belong to the same country and which are in geographical proximity. Furthermore, patent citations are industry specific and occur most often between regions that are specialised in industrial sectors with specific technological linkages between them. Patent citations are also more frequent when the citing region belongs to the same linguistic group as the cited region.
JEL classification : O 30; O 33; R 19     

基于因子分析法的地区专利发展水平比较研究

专利是一个国家或地区科技资产的核心,专利综合实力是衡量一个国家或地区综合实力以及区域创新能力的重要标志。通过对2008年我国发明、实用新型和外观设计三种专利申请总量排名前20位地区的分析,运用因子分析法评价了其专利发展状况,然后通过分析评价结果指出了各地区的优势与劣势。这对于提升各地区的专利综合实力具有重要的参考价值和借鉴意义,也为各相关部门的政策制定提供了理论决策依据。     

Can patent family size and composition signal patent value?

Recent research has proposed a method of patent valuation based on weighting patent family size by the market size of the countries in the family. The premise is that inventors tend to seek greater international coverage for their more valuable patents. The paper presents a novel way to test the ability of market size-weighted patent families to predict patent value and compares the method against extant measures of patent valuation based on patent citations and renewal behaviour. We use forecasting techniques to show that the weighted patent family size measure outperforms other methods in terms of predicting patent life and the number of citations. An advantage of the weighted patent family size measure is that it is based on ex-ante information and is easy to construct for purposes of evaluating patent value. We demonstrate this advantage using a large, comprehensive database of international patent families.     

EFFECTS OF STRENGTHENING INTELLECTUAL PROPERTY RIGHTS IN NEWLY INDUSTRIALIZED ECONOMIES: EVIDENCE FROM TAIWAN'S 1994 PATENT REFORM

Does strengthening intellectual property rights (IPR) in terms of a longer patent life induce more patents? This article investigates the responses of high‐technology firms to Taiwan’s 1994 patent reform. Empirical analyses reveal that firms’ patenting propensity rose gradually before patent reform and showed an increase after patent reform, tending to support the viewpoint that stronger IPR can induce more patents. However, this cannot lead to lasting effect. Furthermore, patenting capability can serve as the access ticket for potential entrants to a science park under the circumstance of stronger IPR protections. These new entrants are found to have a better post‐entry performance in patenting relative to the incumbents in the short run. (JEL O14, O31)     

Investigating the determinants of patent acquisition in biotechnology: an empirical analysis

Acquiring patents is an increasingly relevant opportunity for innovating companies, especially after the rise and development of the so-called markets for technologies (MFTs). However, only scant attention has been devoted to investigate patents' characteristics influencing their acquisition by organisations. Accordingly, this paper aims at filling this gap by analysing how four main characteristics – as patent scope, scientific knowledge cited by the patent, forward patent citations, and number of patent claims – impact the likelihood of patent acquisition. We based our statistical analysis on a sample of 9716 US Patent and Trademark Office patents assigned to 165 biotechnological firms. Results support our conjectures and offer interesting managerial implications for organisations operating within MFTs indicating which characteristics make patented technological solutions more likely to be acquired by other firms, as a narrow scope, inclusion of scientific knowledge, and a number of forward citations able to increase patent's impact and exclusion rights.     

Lovely but dangerous: The impact of patent citations on patent renewal

What is the impact of patent citations on patent renewal behaviour? Patent citations are commonly used as an indicator of technology spillovers. For cited patents, therefore, patent citations have a potentially ambiguous impact. On the one hand, patent citations may indicate a scientific breakthrough, a high value of the cited patent and therefore a long survival period. On the other hand, patent citations may indicate competing innovations that render the cited patent obsolete. By discriminating patents by technology field, it is demonstrated that patents that receive citations across technology fields survive longer than other patents. Patents that receive citations within the same technology field lapse earlier.     

Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping

This research responds to the needs of technology-driven business by focusing on how firms can find new business opportunities based on their technological capabilities. It proposes a technology-driven roadmapping processes that starts from capability analysis for technology planning and ends with business opportunity analysis for market planning. We suggest the use of patent data as a proxy measure of technological capability for this purpose and develop four analysis modules — Monitoring, Collaboration, Diversification, and Benchmarking — to support decision-making during the process. Various analysis techniques such as text-mining, network analysis, citation analysis and index analysis are applied to discover meaningful implications from the patent data, which are summarized in four maps — Actor-similarity map, Actor-relations map, Technology-industry map, and Technology-affinity map. For the purpose of illustration, RFID-related patents are collected and the 18 firms with the most patents used, focusing especially on the third biggest. We believe using roadmapping and patent analysis together can play complementary roles for each other. Putting roadmapping techniques together with patent analysis can increase the objectivity and reliability of technology roadmap, while using patent analysis restricted to technological information together with roadmapping techniques can ensure that a more valuable breadth of strategic information is extracted from patents.     

How well do patent citations measure flows of technology? Evidence from French innovation surveys

Patent citation data are used in a growing body of economics and business research on technological diffusion. Until now, there exists little evidence on whether patent citations are a good measure of knowledge flows. Our paper assesses the legitimacy of using European patent citations as a measure of technology flows. It uses information from the Community Innovation Survey collected by the French Service des Statistiques Industrielles (SESSI), which contain firms’ responses to questions about their innovative activity. We show that patent citations are indeed related to firms’ statements about their acquisition and dispersion of new technology, but that the strength and statistical significance of this relationship varies across geographical regions and across channels of knowledge diffusion.     

企业专利与外部融资

除保护技术输出的传统职能外,专利在企业和利益相关者沟通中也发挥着重要的信号传递职能。其中,专利在资本市场上的信号价值近年来备受关注,已有研究指出专利作为质量信号有助于企业获得投资者认可,并且专利信号效果依赖于投资者获得企业信息的多少。在此基础上,进一步讨论了投资者获得企业信息的内容对信号价值的影响。具体地,在负面信号情境下（企业过去的财务绩效差、收益波动性大、未来不确定性高）,专利的信号价值更强,而在正面信号情境专利信号效果减弱。利用来自深沪两市1 787家上市公司2000-2011年面板数据验证了以上假设,专利数量和外部融资之间存在正向关系,并且在负面信号情境下二者正向关系更强。稳健性检验进一步表明,发明专利的信号效应比非发明专利更强,而私企的专利信号效应比国企更强。     

US PATENT CITATIONS DATA AND INDUSTRIAL KNOWLEDGE SPILLOVERS

The aim of this paper is to empirically evaluate the US interindustry knowledge spillover using the NBER patents data file (1963–1999). Reputing the patent backward citations as a good proxy of the patent's knowledge spillover, we proceed by building a time series to each US manufacturing industry patent citations and their lags. Then, we generate the time series of the external and the internal knowledge flow indices, showing that traditional sectors are more technology-dependent from the others than the new one. Here, in the spirit of Pavitt [Pavitt, Research Policy 13, 343–73, 1984]. We derive a new taxonomy of innovation focusing on the ideas instead of the goods production in order to obtain the innovation linkage and trajectories. Once we determined that each sector's most cited patents are typically belong to the ‘new’ sectors, we evaluate the high- and low-tech sectors innovation effect on the whole economy innovation process. Confirming that the high-tech sectors, and its R&D expenditures, are the most important, we conclude that it is the giant's shoulders, substance of the whole economy.     

Do firms with larger patent portfolios create more new plant varieties in the US agricultural biotechnology industry?

This article is an empirical analysis of the relationship between patent ownership and variety innovation for US agricultural biotechnology firms in the years 1976–1999. Counts of new varieties include corn, soybean, or wheat varieties protected by either patents or plant variety protection certificates, while patent portfolio size is defined as the count of a firm's gene and method patents. Negative binomial regression results indicate that firms with larger patent portfolios did not exhibit scale economies in variety creation nor did firms with wider technological diversity in their patent portfolios create significantly greater numbers of new varieties. However, firms experienced positive spillover effects from rival firms’ patent ownership, and patent ownership increases this effect. Sample firms that have merged in the past do not produce significantly greater numbers of new varieties after considering an increase in portfolio size and did not experience greater economies of scale in creating new varieties compared with firms that experienced no past mergers.