When patents matter: The impact of competition and patent age on the performance contribution of intellectual property rights protection

The question whether patenting impacts patenting firms' subsequent financial performance is important for technology-oriented companies. However, relevant research has led to contradictory results. We strive to overcome this impasse by introducing innovation competition and patent age as moderators of patents' performance contribution into the discourse. Based on a sample of 975 cases from diverse industries, we find strong support for our arguments. In line with our expectations, the results show that the number of patents granted, the degree of patent competition, and the timeliness of a patent contribute positively to financial performance. Moderation analysis nuances our findings by showing that the impact of patent protection on financial performance is stronger when the patent competition is stronger and the patents are younger.These findings provide insights into the conditions under which patenting leads to higher financial performance. Our findings highlight the importance of innovation competition and patent age for innovation research. The empirical results show firms that patenting pays and that, in order to tap the full potential of patents, they need to focus on emerging competing industries and reduce the time to market. Policy makers learn that patenting is a successful approach to foster innovation at limited social costs.     

Innovation and de facto standardization: The influence of dominant design on innovative performance,radical innovation,and process innovation

Setting technology standards is the route to market growth and to potentially influencing the performance of a whole industry. When a market accepts a particular technology as one that defines the specifications for products in the entire industry, a dominant design is set. In this article, we investigate how the existence of a dominant design affects subsequent innovation in an industry. In particular, we study the influence on innovative performance, radical innovation, and process innovation. Analyzing longitudinal, cross-sectional patent data for more than 2.6 million patents filed from 1978 to 2013, we find support for our hypotheses that an industry's innovative performance and degree of radical innovation are negatively influenced by dominant design in that industry, and that process innovation is fostered by the occurrence of a dominant design. We discuss the findings in the light of the increasing speed of technological development and standardization. Additionally, results from a sensitivity analysis for different threshold values of dominant design call for adjusting a binary definition of dominant design with different threshold values depending on the effects under study.     

Are venture capitalist-backed IPOs more innovative? Evidence from an emerging market

This study examines whether venture capital (VC)-backed IPOs are more innovative than otherwise equivalent non-VC-backed IPOs. Using manually collected R&D records from annual reports and patent data from the Chinese State Intellectual Property Office (CSIPO) from 2007 to 2012, we find that VC-backed IPOs have higher R&D expenditures and more patents granted in the three years after IPOs. More specifically, they have more invention, application, and design patents in post-IPO. We use a two-stage instrumental variable, propensity score matching, difference-in-differences approach to mitigate selection biases and find our results to be consistent with our hypothesis. We conclude that VCs can positively influence IPO firms to increase R&D expenditures and innovative output levels in China. In addition, we document that the government ownership adversely affects innovation of VC-backed firms. Policy implications are discussed.     

Assigning Patents to Industries: Tests of the Yale Technology Concordance

We describe a method to predict patent counts disaggregated by industry, using available data on patenting by technology field. This method—the Yale Technology Concordance (YTC)—exploits a data set of patents that have been individually assigned by the Canadian Patent Office to both an industry and a technology field. The procedure for predicting patents by industry is developed as a statistical model so that the standard errors of the predictions can be estimated. The YTC is tested on several subsets of Canadian patents by comparing out-of-sample predictions with industry assignments made by the Canadian Patent Office. We find that the predictions of patents by industry are quite accurate for the subset of patents form US inventors. The prediction errors are much greater for the subset of patents granted or published after 1989. This suggests that the relationship between the technology fields and industries has shifted in a way that the procedure does not capture. Nonetheless, predictions from the YTC do appear to give a reasonably accurate picture of the pattern of patenting by industry.     

Valuing technological synergies in mergers

Technological synergy in mergers and acquisitions (M&As) is achieved when there is an increase in value generated by combining the stock of complementary technologies of acquirers and targets, as well as utilizing target’s patents to initiate or defend lawsuits against competitors. Using U.S. patent data, we provide quantitative measures of these two sources of technological synergy. We find that these measures of technological synergy are important considerations of acquiring firms and capital market in valuing target firms’ innovative assets, as the measures are positive determinants of merger premium and total synergy gain. The expected total gains of acquirers’ and targets’ shareholders from technological synergy decrease with the difficulties of post-merger integration as proxied by geographical distance between acquirer and target. Our technological synergy measures are also good predictors of post-merger realized synergy, i.e., increase in patent outputs in the overlapped technology classes and market share.     

Patent replacement and welfare gains

Patents were chosen in an era when modern public finance tools were unavailable. The same innovation outcomes can be achieved with higher welfare, if patent elements are replaced by modern features. This paper constructs two theoretical models of product innovation and simulates the welfare effects of replacing patents with an intertemporal-bounty arrangement. We find that replacing patents with this alternative has the potential to increase welfare in the United States through reform of pharmaceutical patents by $43.9-$194 billion when measured in present value terms (this is 0.3-1.3% of annual GDP) based on simulations involving four selected drug sectors. The potential to increase welfare would be higher if applied to the larger sector of drugs as a whole. In principal, patents could be replaced in other sectors as well.     

Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors

During the past two decades, innovations protected by patents have played a key role in business strategies. This fact enhanced studies of the determinants of patents and the impact of patents on innovation and competitive advantage. Sustaining competitive advantages is as important as creating them. Patents help sustaining competitive advantages by increasing the production cost of competitors, by signaling a better quality of products and by serving as barriers to entry. If patents are rewards for innovation, more R&D should be reflected in more patent applications but this is not the end of the story. There is empirical evidence showing that patents through time are becoming easier to get and more valuable to the firm due to increasing damage awards from infringers. These facts question the constant and static nature of the relationship between R&D and patents. Furthermore, innovation creates important knowledge spillovers due to its imperfect appropriability. Our paper investigates these dynamic effects using US patent data from 1979 to 2000 with alternative model specifications for patent counts. We introduce a general dynamic count panel data model with dynamic observable and unobservable spillovers, which encompasses previous models, is able to control for the endogeneity of R&D and therefore can be consistently estimated by maximum likelihood. Apart from allowing for firm specific fixed and random effects, we introduce a common unobserved component, or secret stock of knowledge, that affects differently the propensity to patent of each firm across sectors due to their different absorptive capacity.     

Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks

The Triple Helix model of university-industry-government relations allows us to use mutual information among geographical, sectorial, and size distribution of firms to measure synergy at various geographical scales in a nation. In this paper we decompose the synergy in Triple Helix relations and analyze the decomposition at the county level. We use micro-level data for all Norwegian firms from 2002 to 2014. This provides new and more detailed insight into the factors explaining the previously reported variation in synergy at county level in Norway. Furthermore, we analyze the county and city level distributions of all national as well as USPTO granted patents with at least one Norwegian inventor. Co-inventor networks for Norwegian USPTO patents are visualized using Google maps. The counties with technology-dominated synergies and strong knowledge institutions have a higher level of international co-inventor networks. Sectorial and geographical networks characterize the oil and gas dominated county, Rogaland. In contrast the knowledge institution dominated county of Sør-Trøndelag has broader networks both with regard to sectors and geography. In the small industry dominated county of Møre og Romsdal with high synergy, the lack of international co-inventor network is striking. This might be interpreted as a sign of industrial lock-in. The use of both firm level and patent data together give a broader and more precise picture of the innovation systems under study. The use of both national and international patent data also broadens the picture of the innovation activity of the nation.     

同时创新市场条件下的知识产权保护策略与专利政策

本文构建了一个同时创新模型来研究同时创新市场条件下的知识产权保护策略与专利政策。研究表明,同时创新对于知识产权保护具有多重含义。具体而言,由于同时创新改变了企业的创新保护策略,企业申请专利主要是出于防御目的,因而利用同时创新的这种特性,就有可能设计一种促使企业申请专利而不是寻求内部保护的专利制度,这种制度虽然对创新提供了较企业内部保护弱的保护,却能够使社会福利得以提升。另外,传统认为的竞争政策和专利的对立关系,在同时竞争的市场条件下,需要重新认识,专利不仅不会损害竞争,反而会促进竞争。     

技术专利保护强度反思——基于技术伦理的视角

对技术专利实行完全定价,进行强有力的保护,只能导致寡头垄断,阻碍技术的传播与扩散,进而阻碍技术的创新。因此,为了鼓励竞争,从伦理学的角度出发对技术专利保护强度进行初探。应提倡对技术专利进行非完全定价。     

HOW DOES COUNTRY RISK AFFECT INNOVATION? AN APPLICATION TO FOREIGN PATENTS REGISTERED IN THE USA

Abstract.  Innovation can occur at the national level under a wide range of settings. However, the leading innovative countries internationally have several common traits, including economic, financial and political stability, which are reflected in various measures of country risk. The purpose of the paper is to examine, for the first time, the relationship between the economic, financial and political country risk ratings, on the one hand, and innovation, as measured by a country's registered patents, on the other. The relationships between various monthly country risk ratings and registered patents are analyzed for the leading 12 foreign patenting countries in the USA from 1975 to 1997. The empirical results show that economic, financial and political risk ratings have a considerable impact on the innovative activities of the 12 countries. Total US patent applications are also influential in inducing innovation in the 12 countries. Such issues have not previously been addressed in the literature on country risk and innovation.     

Development of patent roadmap based on technology roadmap by analyzing patterns of patent development

Recently, patent forecasting and planning has been emphasized as an essential process in the strategic management of technology because well-planned patents will make larger profits and occupy dominant positions first. Thus, this paper aims to suggest the concept and process of a patent roadmap based on a technology roadmap and patterns of patent development. For this, first, ontology of technology is generated to structure the characteristics of technology based on the existing technology roadmap and then patents are collected from a patent database. Second, collected patents are grouped by similarities based on vectors of extracted keywords and grouping results are classified by TEMPEST. In this step, keywords extracted from the previous phase are matched with TEMPEST individually and patent groups are categorized in accordance with high relevance between representative keywords in patent groups and core keywords in each category of TEMPEST. Third, the patterns of patent development are identified for each patent group and categorized by two types – structural and temporal patterns. Consequently, extracted patterns serve as evidence of patent planning, and the patent roadmap is drawn with the technology layer composed of the technology roadmap and the patent layer that each group is mapped on. The proposed approach is illustrated by the case of the transparent AMOLED display. The patent roadmap will enable managers to establish patenting strategies in order to achieve a valuable core patent that has the potential to become a business model, yielding good returns in the long term.     

制造业与生产性服务业协同集聚能否提升城市专利质量？

产业协同集聚与融合发展已成为带动地区创新发展的重要手段。研究测度了制造业与生产性服务业协同集聚度与城市专利质量水平,并实证检验了协同集聚带来的城市专利质量提升效应及其影响机制,结果表明：制造业与生产性服务业协同集聚能提升城市专利质量水平。产业协同集聚是促进地区创新的空间前提条件。主要影响机制的探讨表明,知识外部性溢出与分工深化是导致城市专利质量提升的主要中介渠道,但创新成果转化加速的中介提升机制尚不明晰。分地区看,相比于欠发达地区,发达地区产业协同集聚更能促进城市专利质量提升;分行业看,制造业与金融业、科研综合技术服务业、水利环境和公共设施管理业的协同集聚所带来的城市专利质量提升效应更加明显。目前中国整体上制造业与生产性服务业协同集聚存在的不充分、不平衡发展的问题是促进城市专利质量提升的主要障碍。     

Markets for standardized technologies: Patent licensing with principle of proportionality

In this paper, we study the licensing of standard-related patents among companies that employ a two-level licensing model where (i) the aggregated value of technology in the end product is divided among the integrated technologies in the product, and (ii) the value of each technology is then shared among the patent owners in proportion to the strengths of their patent portfolios in these technologies. Specifically, we develop a system dynamics simulation model for analyzing the effects of licensing costs on product and technology markets. This model is based on the modeling of three types of companies whose interactions are analyzed using non-cooperative game theory. The numerical results suggest that none of the three companies benefit from very low or very high royalty rates. In this setting, our model for two-level proportional sharing of licensing payments helps identify royalty rates which benefit all types of companies and which provide incentives for technology development and innovation.     

Patents, Invalidity, and the Strategic Transmission of Enabling Information

The patent system encourages innovation and knowledge disclosure by providing exclusivity to inventors. Exclusivity is limited, however, because a substantial fraction of patents have some probability of being ruled invalid when challenged in court. The possibility of invalidity—and an ensuing market competition—suggests that when an innovator's capability (e.g., cost of production) is private information, there is potential value to an innovator from signaling strong capability via a disclosure that transfers technical knowledge to a competitor. We model a product-innovation setting in which a valid patent gives market exclusivity and find a unique signaling equilibrium. One might expect that as the probability that a patent will be invalid becomes low, greater disclosure will be induced. We do not find this expectation to be generally supported. Further, even where full disclosure arises in equilibrium, it is only the less capable who make full disclosures. The equilibrium analysis also highlights many of the novel and appealing features of enabling knowledge disclosure signals.     

Patent Breadth, Patent Life, and the Pace of Technological Progress

In active investment climates where firms sequentially improve each other's products, a patent can terminate either because it expires or because a non-infringing innovation displaces its product in the market. We define the length of time until one of these happens as the effective patent life, and show how it depends on patent breadth. We distinguish lagging breadth, which protects against imitation, from leading breadth, which protects against new improved products. We compare two types of patent policy with leading breadth: (1) patents are finite but very broad, so that the effective life of a patent coincides with its statutory life, and (2) patents are long but narrow, so that the effective life of a patent ends when a better product replaces it. The former policy improves the diffusion of new products, but the latter has lower R&D costs.     

Can innovation improve income inequality? Evidence from panel data

Income inequality is a source of social instability and armed conflict, which in turn are detrimental to economic development. This study examines the role of innovation in income inequality in twenty-three developed countries, using a panel mean group estimator that takes cross-sectional dependence into consideration. Three income inequality indicators are used: the Standardized World Income Inequality Database (SWIID), the University of Texas Inequality Project (UTIP), and the Estimated Household Income Inequality (EHII). The innovation indicators are patent applications and patents granted. The empirical results based on the common correlated effect mean group (CCEMG) reveal that innovation widens income inequality. We also investigate whether the innovation–income inequality nexus is subject to a country’s level of globalization and financial development. The findings suggest that the interaction terms between innovation with these two variables have positive effects on income inequality, whereas innovation failed to reduce income inequality. Globalization and financial development are found to drive income inequality. The empirical results are robust to different income inequality and innovation measures as well as estimation techniques.     

Market share and firms’ patent exploitation

As the current patent policy encourages the early stage of innovation but imposes hardly any regulations on how patent holders use their patents, an understanding of how firms use their patents is largely lacking. In this study, we seek to determine whether differences exist in firms’ strategies for utilizing patents depending on their market share. Using a discrete choice model, the repeated multinomial logit model, we analyzed Korean firms’ choices of patent use. Market share is found to positively influence three patent exploitation modes: own use, simultaneous exploitation of own use and licensing, and blocking. And the blocking use of patents is the most significant mode that is positively associated with market share. Our results provide a basis for understanding the effects of patent policy from the industrial perspective, such as industrial organization or competition policy. We discussed the implications for various actors related to patent systems, including researchers, policy-makers, and practitioners.     

Dynamics of Inventor Networks and the Evolution of Technology Clusters

Clusters are important drivers of regional economic growth. Although their benefits are well recognized, research into their evolution is still ongoing. Most real‐world clusters seem to have emerged spontaneously without deliberate policy interventions, each cluster having its own evolutionary path. Since there is a significant gap in our understanding of the forces driving their evolution, this study uses a quantitative approach to investigate the role of inventor collaboration networks in it. Inventor collaboration networks for 30 top‐performing American metropolitan clusters were constructed on the basis of patent co‐authorship data. The selected clusters operate in hi‐tech fields: information technology, communications equipment and the biopharmaceutical industry. Starting from a widely accepted hypothesis that the ‘small‐world’ structure is an optimal one for knowledge spillovers and promotes innovation effectively, the authors statistically tested the impact of ‘small‐world’ network properties on cluster innovation performance proxied by patent output. The results suggest that the effect of the small‐world structure is not as significant as theorists hypothesized, not all clusters benefit from the presence of inventor collaboration networks, and cluster performance can be affected by policy interventions. Our analyses also suggest that cluster typology moderates the impact of inventor network properties on cluster innovation performance.     

Knowledge Flows,Patent Citations and the Impact of Science on Technology

Technological innovation depends on knowledge developed by scientific research. The number of citations made in patents to the scientific literature has been suggested as an indicator of this process of transfer of knowledge from science to technology. We provide an intersectoral insight into this indicator, by breaking down patent citations into a sector-to-sector matrix of knowledge flows. We then propose a method to analyze this matrix and construct various indicators of science intensity of sectors, and the pervasiveness of knowledge flows. Our results indicate that the traditional measure of the number of citations to science literature per patent captures important aspects of intersectoral knowledge flows, but that other aspects are not captured. In particular, we show that high science intensity implies that sectors are net suppliers of knowledge in the economic sector, but that science intensity does not say much about pervasiveness of either knowledge use or knowledge supply by sectors. We argue that these results are related to the specific and specialized nature of knowledge.