The relationship between a firm's patent quality and its market value — The case of US pharmaceutical industry

This study examined the relationships between corporate market value and four patent quality indicators - relative patent position (RPP), revealed technology advantage (RTA), Herfindahl-Hirschman Index of patents (HHI of patents), and patent citations - in the US pharmaceutical industry. The results showed that RPP and patent citations were positively associated with corporate market value, but HHI of patents was negatively associated with it, while RTA was not significantly related to it. Thus, if pharmaceutical companies want to enhance their market value, they should increase their leading positions in their most important technological fields, cultivate more diversity of technological capabilities, and raise innovative value of their patents. In addition, this study found that market value of pharmaceutical companies with high patent counts was higher than that of pharmaceutical companies with low patent counts, and suggested that pharmaceutical companies with low patent counts should increase RPP in their most technological fields, decrease HHI of patents, or raise patent citations to further enhance their market value. Furthermore, this study developed a classification for the pharmaceutical companies to divide them into four types, and provided some suggestions to them.     

Exploring technology diffusion and classification of business methods: Using the patent citation network

Among the many technology forecasting indicators, patents and patent citations are useful and important indicators. The more frequently a certain patent is cited by subsequent patents, the more the related technology can be said to be diffused, implying that the technology is more widely applied and thus more valuable. This paper analyzes the business methods technology which retrieves patents from the USPTO database. There are two purposes of this paper: 1. establish the indicators for finding basic patents and measure the relationship of these basic patents; 2. classify the basic patents and explain the groups of technology diffusion. Finally, this study identifies the two mainstreams in business method technology: one is focused on marketing technology, and the other one stresses on data security. Both are important for Internet data processes or e-commerce activities.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

Monitoring the organic structure of technology based on the patent development paths

As the strategic importance of understanding changes in technology for successful business of most firms increases, the ability to analyze and monitor the current stage and history of technology is reckoned as a critical asset both for gaining competitive advantage and identifying promising niches. Patent citation networks have been widely used for systematic and empirical analysis of technology development. Understanding of technology's detailed changes in large patent citation networks, however, is difficult to achieve because of these networks' large and complex structures. To overcome this problem, we suggest an algorithm that identifies patent development paths from a large patent citation network by evaluating the weight of citations between patents. We then apply this algorithm to flash memory patents in an empirical study. Our algorithm is a new methodology that can be used to analyze the dynamic and complex structure of individual technologies.     

A welfare analysis of global patent protection in a model with endogenous innovation and foreign direct investment

This paper constructs a North–South quality-ladder model in which foreign direct investment (FDI) is determined by the endogenous location choice of firms, and examines analytically how strengthening patent protection in the South affects welfare in the South. Strengthening patent protection increases the South's welfare by enhancing innovation and FDI, but it also allows the firms with patents to charge higher prices for their goods, which decreases welfare. However, the model shows that the former positive welfare effect outweighs the latter negative effect. Moreover, introducing the strictest form of patent protection in the South, that is, harmonizing patent protection in the South with that in the North, may maximize welfare in the South as well as in the North. Further, a similar result can also be obtained in a nonscale effect model.     

专利制度的两面性

专利制度由激励技术创新伊始,同时也推动和促进了知识的传播和进步、信息的共享和经济的发展。随之伴随的是专利带来的技术创新的阻碍作用。专利制度的被利用甚至滥用也同时带来了大量的问题专利以及专利丛林、专利阻滞等现象。文章从专利两面性的独特视角着重分析了专利制度的正面和负面作用,并着重侧重后者,对专利在刺激技术创新的同时,同时阻滞技术创新的悖论进行了深入分析思考。对专利丛林、专利阻滞等现象进行分析,并提出解决策略。最后,对专利制度进行再反思和再认识。     

Property rights and information flows: a simulation approach

With the growth of the information economy, the proportion of knowledge-intensive goods to total goods is constantly increasing. Lessig (The future of ideas: the fate of the commons in a connected world. Vintage, New York 2001) has argued that IPRs have now become too favourable to existing producers and that their ‘winner-take-all’ characteristics are constraining the creators of tomorrow. In this paper we look at how variations in IPRs regimes might affect the creation and social cost of new knowledge in economic systems. Drawing on a conceptual framework, the Information Space or I-Space to explore how the uncontrollable diffusibility of knowledge relates to its degree of structure, we deploy an agent-based modelling approach to explore the issue of IPRs. We take the ability to control the diffusibility of knowledge as a proxy measure for an ability to establish property rights in such knowledge. Second, we take the rate of obsolescence of knowledge as a proxy measure for the degree of turbulence induced by different regimes of technical change. Then we simulate the quantity and cost to society of new knowledge under different property right regimes.

Utilizing patent analysis to explore the cooperative competition relationship of the two LED companies: Nichia and Osram

This study used patent analysis to explore the co-opetition behavior between the two light emitting diode (LED) manufactures, Nichia and Osram, from the two critical technological fields in the LED industry: LED components and phosphor. The results of patent analysis indicated that Nichia had advantages in the field of LED components, while Osram had advantages in the field of phosphor. Therefore, there existed cooperation opportunities for the two opponents in the LED industry, because their technological capabilities were partially complementary. Therefore, Nichia and Osram were willing to make a compromise to solve the patent litigations between them and further agreed to offer cross-licensing of patents for each other. Their strategic interaction was changed from full competition to co-opetition which is win-win for them. This study demonstrates that patent analysis is a useful tool for R&D management and technical analysis, and the results of this study can provide a valuable reference for managers in formulating patent portfolio.     

The value relevance of brand valuation

The reports published by independent parties are often used to provide an estimation of brands due to the lack of literature and best practices regarding which brand valuation method is more value relevant and reliable than another. Over the last several years, brand valuation debate is growing in importance because of the need to provide a value of intangibles for different purposes. The purpose of this study is two-fold. First, we aim to understand whether brand valuation related to listed companies provided by three independent agencies is value relevant and therefore whether these brand valuations are taken into consideration by investors in their decision-making process. Second, we assess which of the three methods reflects the stock markets in a better way. We analyse a sample of 71 brands valuated by Interbrand, Brand Finance and BrandZ from 2013 to 2015. The results show that brand valuation provided by the independent agencies is value relevant; in addition, they reveal that the Brand Finance method, based on the royalty relief approach, is more value relevant than the others. This study contributes to the extant literature on value relevance by providing evidence on the impact of stock prices of brand agencies’ valuation.     

知识产权保护、技术创新与南北贸易摩擦成因

相关文献大量的分析知识产权保护与技术创新之间的关系,或者单就分析知识产权保护的国际争端,而对于贸易壁垒和贸易摩擦与技术创新之间的联系以及贸易壁垒对于知识产权的替代补充作用却较少被关注.论文通过扩展一个南北贸易模型的分析,得到在南北国家知识产权保护不足的情形下,降低南方国家的贸易壁垒可以起到激励技术创新和补充知识产权保护的效果,这就为南北贸易摩擦的发生找到了一个新的动因.同时,我们的模型结果得出了一个与先前文献不同的结论,即北方国家的贸易壁垒对于技术创新没有激励作用.     

Mapping technological development using patent citation trees: an analysis of bogie technology

We create a generational patent citation tree to reveal the development of bogie technology in the high-speed rail industry. We cull the information in patent citations to reveal the generational development of bogie technology by analysing patent titles, patent publication dates and patent-granting regions. We then measure the development of bogie technology by calculating its technological development on-orbit rate and by mapping the stages of technological development and its regional diffusion. The results show that bogie technologies are in a period of sustained growth and this period of sustained growth will remain. Technological development is accelerating and this acceleration will persist, although the global dispersion of technology lags behind in scope and speed.     

装备制造产业集群中的知识溢出悖论--基于静态博弈的一种分析

装备制造业在我国占据重要地位。利用集群促进知识溢出是提高装备制造产业自主创新能力的重要途径。在集群创新体系不完善的条件下,部分装备企业的技术创新能力却并未因产业集群的形成而得到明显改善,集群创新效应仍未凸显,较高的产业关联程度以及快速的技术扩散速度降低了创新型企业拥有知识的垄断价值,影响了正向知识溢出效应的充分发挥,从而产生了负效应即“知识溢出悖论”。文章结合装备制造产业集群的技术创新特点,利用完全信息静态博弈模型对知识溢出悖论进行理论解释,并提出相关对策,包括构建网络化知识产权保护体系、加强装备制造业集群平台建设、强化核心企业扶持力度等,以期为提升装备制造业技术创新能力提供理论和实践参考。     

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.     

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.     

The typology of technology clusters and its evolution — Evidence from the hi-tech industries

Clustering is one of the key drivers for regional economic growth. Development of clusters is a dynamic process shaped by a variety of internal and external factors such as availability of skilled labor, presence of functioning networks and partnerships, technological changes, and market competition, etc. As a result, the patterns of cluster growth may differ from one another. Although each cluster is unique in some way, previous research has attempted to identify few simplified models of evolution of clusters. In this study, we briefly reviewed the literature on a variety of models of clusters. Based on these models, we investigated 15 hi-performing metropolitan-based clusters in the United States, covering communications equipment manufacturing, information technology, and biopharmaceutical industries, in order to find out the similarities and differences between real-world clusters. Specifically, by examining the composition of these high-tech clusters, we attempted to find out the following: 1) What are the typologies of these technology clusters? 2) Whether different industries tend to support different cluster typologies? and 3) How do clusters change their typologies over time? Our analysis results suggest that the real-world clusters rarely feature any single type of typology; a mixed type of typology is much more prevalent in reality.We also found that different industries tend to support different types of cluster typologies. In other words, an individual cluster's typology is to some extent shaped by the industry group it belongs to. In addition, we note that, as a cluster goes through different stages of its lifecycle, its typology may change significantly.     

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.     

Modeling probabilities of patent oppositions in a Bayesian semiparametric regression framework

Previous econometric analyses of patent data rely on regression methods using purely parametric forms of the predictor for modeling the dependence of the response. These approaches lack the capability of identifying potential non-linear relationships between dependent and independent variables. In this paper, we present a Bayesian semiparametric approach making use of Markov Chain Monte Carlo (MCMC) simulation techniques which is able to capture these non-linearities. Using this methodology we reanalyze the determinants of patent oppositions in Europe for biotechnology/pharmaceutical and semiconductor/computer software patents. Our semiparametric specification clearly finds considerable non-linearities in the effect of various metrical covariates which has been not been discussed previously. Further, a formal model validation based on ROC-methodology which splits the data in a training and a validation data set shows a significant improvement of the explanatory and the predictive power of our approach compared to purely parametric specifications.

政府的科技激励政策对大中型工业企业R&D投入及其专利产出的影响——上海市的实证研究

本文从动态角度运用面板数据分析中的随机效应模型实证研究了上海市政府的科技激励政策对大中型工业企业自筹的R&D投入及其专利产出的影响。本文认为 ,政府的科技拨款资助和税收减免这两个政策工具对大中型工业企业增加自筹的R&D投入都具有积极效果 ,并且政府的拨款资助越稳定效果越好 ;政府拨款资助和税收减免互为补充 ,提高一个的强度也会增加另一个的效果 ,但这个效应以政府税收减免为主。不同来源的R&D支出和不同等级的人力资源对专利产出的影响是不同的 ,自筹的R&D支出对专利产出有着显著的正面作用。     

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.