Patents in a Model of Endogenous Growth

This paper examines patent protection in an endogenous-growth model. Our aim is twofold. First, we show how the patent policies discussed by the recent patent-design literature can influence R&D in the endogenous-growth framework, where the role of patents has been largely ignored. Second, we explore how the general-equilibrium framework contributes to the results of the patent-design literature. In a general-equilibrium model, both incentives to innovate and monopoly distortions depend on the proportion of industries that conduct R&D. Furthermore, patents affect the allocation of R&D resources across industries, and patents can distort resources away from industries where they are most productive.     

Unsuccessful patent application and cooperative R&;D

We show that uncertainty in patent approvals may induce the firms to do cooperative R&D. With an exogenous probability of success in patent application, we show that, if all firms apply for patents under non-cooperative R&D, the firms prefer cooperative R&D than non-cooperative R&D for moderate (high) probabilities of success in patent applications, if the cost of patenting is small (large). We also show the implications of entry of non-innovating firms and endogenous probability of success in patent applications.      

Tracing the Evolution of Biomedical 3D Printing Technology Using Ontology-Based Patent Concept Analysis

Three-dimensional (3D) printing enables products to be custom-designed and produced using additive manufacturing processes. This research develops a patent analysis approach to explore biomedical 3D printing technology trends. First, the method searches for related patents. Second, frequently appearing key terms in patents are extracted as a means to identify key concepts of inventions. Third, in order to structure the domain knowledge, the ontology is created by referring to the relevant key terms and literature. The key terms create indexes used to measure similarities for clustering the patents and sub-technologies. Based on the patent context and dynamic patent concept analysis maps, the evolutionary trends of technology development are depicted. Biomedical 3D printing R&D projects are used as case examples to compare against co-occurring patent evolutions. The proposed patent concept analysis is generalisable for critical decision support of R&D planning and evaluation in any market sector.     

Patent portfolios and knowledge flow(s) of photovoltaic companies

The current trend towards green energy is encouraging manufacturers to invest in photovoltaic technologies. In order to guarantee R&D and optimal operational performance, operators should be able to identify the technological advantages of their competitors for the conduct R&D and to ensure adequate technological knowledge intake. Therefore, from the perspective of patent portfolios and knowledge flow(s) of photovoltaic companies, this study adopted two approaches namely, patent counts and patent citations, to discuss the technical capability of R&D portfolios and the technological knowledge flow. Three patent indices were utilised for the integration of R&D portfolios which include: technology attractiveness, relative patent position, and revealed patent advantage. Technological knowledge flow allows construction of a patent citation network through backward citation of patents. Sources and movement directions of technological knowledge are measured by calculating the relative citation propensity. R&D portfolios and knowledge flow are complementary perspectives of each photovoltaic company.     

Innovation and imitation under imperfect patent protection

The paper develops a model in which the spillover of R&D is a consequence of a rational investment in imitation. The model incorporates the innovator's choice between patenting and secrecy as a protection device. The analysis demonstrates that an increase in patent breadth always discourages resorting to secrecy, whereas the influence of increased patent life is the opposite with large spillovers. An increase in patent life can also reduce innovative activity with large spillovers. Under endogenous imitation, short patents are socially optimal.     

Dynamic analysis of outsourcing

This paper develops an R&D-based growth model and calibrates the model to aggregate data of the US economy to quantify a structural relationship between patent length, R&D and consumption. Under parameter values that match the empirical flow-profit depreciation rate of patents and other key features of the US economy, extending the patent length beyond 20 years leads to a negligible increase in R&D despite equilibrium R&D underinvestment. In contrast, shortening the patent length leads to a significant reduction in R&D and consumption. Finally, this paper also analytically derives and quantifies a dynamic distortionary effect of patent length on capital investment.     

An empirical analysis of patents flows and R&D flows around the world

In this article, we empirically investigate the effect of Research and Development (R&D) flows on patent flows around the world. We do this using an unbalanced panel consisting primarily of Organization for Economic Co-operation and Development (OECD) countries that have both patent and R&D expenditure information broken down by domestic and foreign sources. Our analysis shows that even among a fairly homogeneous group of countries, the sources of patents and R&D differ substantially. Using a dynamic panel framework, we find that domestic R&D per capita increases domestic patents per capita only for the European Patent Convention (EPC) countries that already have a decentralized approach to innovation. Foreign R&D per capita increases foreign patents per capita in all countries even though foreign R&D constitutes a very small fraction of total R&D. We find that some of these differences can be attributed to the locations of the patent applications, including those to the European Patent Office (EPO), United States Patent and Trademark Office (USPTO) and triadic patent applications to the EPO, USPTO and Japan Patent Office (JPO) simultaneously.     

Types of patents and driving forces behind the patent growth in China

As a developing economy, China's unprecedented patenting surge is puzzling. We study China's patent surge and its driving forces using a novel and comprehensive merged dataset on patent applications filed by Chinese firms. We find that R&D investment, FDI, and patent subsidy have different effects on different types of patents. First, R&D investment has a positive and significant impact on patenting activities for all types of patents under different model specifications. Second, the stimulating effect of foreign direct investment on patent applications is only robust for utility model patents and design patents. Third, the patent subsidy only has a positive impact on design patents. The results imply that FDI and patent subsidy may disproportionately spur low-quality patents.     

Factor analysis and structural equation model for patent analysis: a case study of Apple’s technology

In this study, we analyse patent data for technology analysis (TA) because patents are rich in information on developed technology. The results of TA can be used to perform more efficient research and development (R&D) planning. Most companies are trying to develop new and innovative technologies to improve their competitive positions. Research involving TA has been introduced in a variety of fields. Most of the published research analysed original variables related to a target technology. However, it is necessary to analyse the latent variables as well as the original variables included in the technology to achieve a better TA model. Therefore, we propose a factor analysis and a structural equation model for patent analysis. In addition, we use Apple’s patents to determine the target technology. In our case study, we analyse Apple’s technologies by latent variables. Our case study shows how the proposed model is applied to Apple’s R&D planning.     

R&D and patents: is it a two way street?

ABSTRACT

This paper provides empirical evidence on the link between firms’ R&D expenditure and patent registrations by applying the Granger causality test. We use a panel of Spanish manufacturing firms for the period 1990–2013. We first, examine the R&D-patents relationship in the manufacturing firms as a whole and subsequently, manufacturing was broken down into three groups of firms according to the technological level of the industries to which the firms belonged: high and medium-high (HMHT), low medium (LMT) and low (LT) technology firms. For the entire panel, our results provide support for a bidirectional relationship between R&D and patents, supporting both the traditional view and the reverse causality approach (patents cause R&D). When the sample is split into the three technology levels, we also find strong support for a bidirectional relationship in HMHT firms and weak support in LT ones. We found no evidence of this bidirectional link in LMT firms.     

Reverse causality in the R&D–patents relationship: an interpretation of the innovation persistence

Starting from the failure of the R&D–patents traditional relationship, when time-series and/or within-industry dimensions are included in the empirical analysis, the present work tries to contribute to the empirical literature from two directions. First, it performs a Granger causality test based on the theoretical presumption of a reverse patents→R&D link as an explanation for the failure of the traditional relationship. Second, assuming the reverse patents–R&D causality, we test and interpret the lag structure of such a relationship which shows the effective patent life that firms can expect within the two Schumpeterian patterns of innovations they belong to. In the light of the effective patent life, we offer a further explanation of innovation persistence which overturns the findings of the existing literature on persistence.     

An empirical analysis of firm process and product patenting

This paper presents an empriical study of the determinants of firm patenting. Since industrial research and development (R&D) encompasses a variety of activities, this study distinguishes between patents on process innovations and patents on product innovations. The property rights provided by a patent may differ between process and product patents, which suggests that the determinants of process innovations and product innovations may difer as well.

Several recent studies have distinguished between research directed toward process innovations and research directed toward product innovations. Scherer (1983a) included measures of process R&D spending and product R&D spending in regressions for inter-industry differences in productivity growth. Link and Lunn (1984) found that the returns to process-related R&D activity exceed the returns to product-related R&D activity. Link (1982) found inter-firm differences in the allocation of R&D spending for process innovations and product innovations. Lunn (1986) found differences in the determinants, as well as the effects, of process patenting and product patenting at the industry level. This paper examines whether the determinants of product and process patenting differ at the firm level.     

Technological knowledge,spillover and productivity: evidence from Taiwanese firm level panel data

Using a panel data on Taiwanese manufacturing firms from 1990–1997, this study investigates the relationship among technological knowledge, spillover and productivity. In addition to R&D stock, we also employ patent counts to construct the output-side indicators of knowledge and spillover to explore the relationship between knowledge and productivity. We find a very significant contribution of R&D, patents and spillover stock to productivity. In addition, the magnitude of the patent stock coefficient is substantially larger than that estimated by R&D stock. Our results imply that innovative activity investment has been very productive in increasing output for Taiwanese manufacturing firms in the 1990s.     

Multistage R&D competition and patent policy

In this paper a model of multistage R&D patent policy is investigated. We study the impact of the duration of patent protection for intermediate products on R&D races when the discovery of the final product requires the accomplishment of an intermediate step. Using a multistage model where firms choose their levels of research investment at each stage, we find all subgame-perfect equilibria of the game. We also determine how competition affects a firm's level of research investment at different stages of the R&D competition.     

Quantitative analysis of modularization in the automobile and PC industries

Much research has been done on modularizing the PC industry and automobile industry. In the analysis of the effect of modularization in the PC and automobile industries, however, very little of this research has been quantitative. In this paper, we use the number of patent applications for PC and automobile components to analyze the modularization in the PC and automobile industry. We calculated a ratio of the number of patents applied for by PC/automobile manufacturers vis-à-vis the total number of patent applications for the components, and used it to quantitatively judge whether PC/automobile manufacturers still hold the initiative with respect to R&D. The analysis indicates that PC manufacturers no longer hold the R&D initiative but that automobile manufacturers still do for engine control systems. On the other hand, it indicates that automobile manufacturers no longer hold the R&D initiative on the safety and communication control systems. The paper finally verifies the correlation between modularization and R&D initiative by means of regression analysis.     

R&D internationalisation patterns in the global pharmaceutical industry: evidence from a network analytic perspective

This study adopts a Social Network Analysis (SNA) perspective to investigate global R&D internationalisation patterns of the pharmaceutical industry. We use co-inventorships identified in pharmaceutical patents granted by the US Patent and Trademark Office (USPTO) between 1996 and 2013, giving rise to an international collaboration network by drawing a cross-country link when a patent lists at least two inventors located in different countries. We describe changing R&D internationalisation patterns by exploring network structures as a whole as well as the changing role of different countries. The results show that R&D internationalisation indeed has gained momentum in pharmaceutical innovation, in particular after the year 2006. The network has developed from a mono-centric, star-like network – with the USA constituting the only hub – to a more distributed and dense network. The relative decline of the USA has not taken place at the expense of emerging economies but at the expense of European countries.     

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.     

Appropriation Of Returns From Technological Assets And The Values Of Patents And R&D In Japanese High-Tech Firms †

This paper investigates the extent that technological assets contribute to the value of the firm, using the sample of 90 Japanese firms in pharmaceutical, chemical, and electrical equipment industries. We use the firm's R&D expenditures and the number of patents (in stock) as the measures of its technological assets and show that the relative usefulness of these two measures varies across industries. Particularly, Tobin's q is positively related to the technological assets most strongly in the pharmaceutical industry. It is also most sensitive in this industry to the level of patent stock, coinciding with the view that drug patents are more effective than other patents as a means of appropriating returns from innovation. The communications equipment industry is also characterized by its q's dependence on patent stock. In addition, this industry's q is particularly sensitive to the level of net R&D investment in the most recent year, presumably because of the rapid technological progress in this industry.     

Exploring potential R&D collaboration partners through patent analysis based on bibliographic coupling and latent semantic analysis

The aim of the present research is to provide a new systematic methodology to explore potential Research and Development (R&D) collaboration partners using patent information. The potential R&D collaboration partners are visualised as a patent assignee level map based on technological similarity between patents by using the network analysis. The proposed framework utilises two analytic methods to measure technological similarity. The first method, bibliographic coupling analysis, measures technological similarity based on the citation relationship using patent bibliographic information. Second, latent semantic analysis is utilised based on semantic similarity using patent textual information. The fuel cell membrane electrode assembly technology field is selected and applied to illustrate the proposed methodology. The proposed approach allows firms, universities, research institutes and governments to identify potential R&D collaborators as a systematic decision-making support tool.     

Patents and quality growth in OLG economy

This paper shows how heterogeneity in patent ownership across generations and lifecycle saving considerations qualitatively change the conventional implications of patent policy for quality growth. We study a close Overlapping Generations economy that grows through sequential quality improvements (“quality-ladder”), to show that for plausible values of the Inter-temporal Elasticity of Substitution (a) shorter patent length enhances growth (b) under exogenous innovation size loosening patent breadth protection spurs R&D investment and quality growth and (c) the effect of loosening lagging breadth protection on R&D investment and quality growth under endogenous innovation size depends on patents length. Our findings explore a new channel through which strong patents may hinder innovation and emphasize the importance of coordination in patent-policy across the different dimensions of the patents system.