Technology flows between sectors and their impact on large-scale firms

In this article we highlight the importance of technology flows between sectors and their impact on the labour productivity of large-scale corporations. Based on theoretical considerations, we explore technological spillovers between the sectors of an economy. Large-scale corporations usually focus on certain sectors but make use of a wide range of technological knowledge from other sectors. Thereby, technological knowledge built up in sectors by continuous R&D activities does not spill over without bounds but is directed by firms’ absorptive capacities. We use firms’ patent portfolio to empirically calculate the sector affiliation and therewith the firms’ absorptive capacities in order to estimate the impact of technology diffusion on labour productivity. Fortune 500 firms serve as data base.     

Cumulative causation in the formation of a technological innovation system: The case of biofuels in the Netherlands

Despite its worldwide success, the innovation systems approach is often criticised for being theoretically underdeveloped. This paper aims to contribute to the conceptual and methodological basis of the (technological) innovation systems approach. We propose an alteration that improves the analysis of dynamics, especially with respect to emerging innovation systems. We do this by expanding on the technological innovation systems and system functions literature, and by employing the method of ‘event history analysis’. By mapping events, the interactions between system functions and their development over time can be analysed. Based on this it becomes possible to identify forms of positive feedback, i.e. cumulative causation. As an illustration of the approach, we assess the biofuels innovation system in The Netherlands as it evolved from 1990 to 2007.     

Knowledge positions in high-tech markets: Trajectories,standards, strategies and true innovators

Essential patents refer to patents that are indispensable in order to make any product that complies with a technological standard. Portfolios of essential patents have often been used to indicate the strategic value of a firm's knowledge. We propose a range of alternative indicators based on a firm's position in patent citation network. Using a historical narrative and the actual licencing payments for the 3G W-CDMA standard in mobile telecommunications as a reference, we find that our alternative indicators provide better indicators for firms' knowledge positions and their long-term impact on technological change. Our proposed indicators can also be applied in markets that are not based on standards, and may not only be valuable to scholars but also to practitioners. Our findings also raise some concern over technology inclusion processes at standards bodies, and we recommend policy makers to consider our proposed method in order to critically look at these processes.     

Measuring knowledge persistence: a genetic approach to patent citation networks

The aim of this paper is to propose a new empirical method for identifying technologically important patents within a patent citation network and to apply it to the telecommunication switching industry. The method proposed is labelled the genetic approach, as it is inspired by population genetics: as geneticists are interested in studying patterns of migration and therefore the common origins of people, in innovation studies we are interested in tracing the origin and the evolution of today knowledge. In the context of patent and citation networks, this is done by calculating the patent’s persistence index, i.e., decomposing patent’s knowledge applying the Mendelian law of gene inheritance. This draws on the idea that the more a patent is related (through citations) to “descendent” patents, the more it affects future technological development and therefore its contribution persists in the technology. Results show that the method proposed is successful in reducing the number of both nodes and links considered. Furthermore, our method is indeed successful in identifying technological discontinuities where previous knowledge is not relevant for current technological development.     

A stochastic patent citation analysis approach to assessing future technological impacts

The anticipation and forecast of technological changes are of vital importance, as technological advances become increasingly fast and complex. What is at the core is identification of the current technologies that will drive technological changes over the coming few years. In this respect, numerous approaches have been devised to assess future technological impacts based on patent citation information, but do not provide a fair reflection of dynamic and idiosyncratic aspects of technological impacts as they are deterministic methods based on simple citation counts. We propose a stochastic patent citation analysis that can assess future technological impacts in a time period of interest by employing the future citation count as a proxy. At the heart of the proposed approach is a Pareto/NBD (Negative Binomial Distribution) model for taking into account the dynamic and idiosyncratic aspects of technological impacts. A patent citation matrix is first constructed for each time unit with citation patterns of the past. The future technological impacts are then derived by Pareto/NBD sub-model and gamma–gamma sub-model. A case study of the display technology patents is presented to illustrate the proposed approach. We believe our method can be employed in various research fields, from narrow patent valuation, to broad technological analysis and planning.     

Knowledge characteristics and the dynamics of technological alliances in pharmaceuticals: empirical evidence from Europe,US and Japan

The paper investigates the co-evolutionary patterns of the dynamics of technological alliances and of the structure of the knowledge base in the pharmaceutical sector. The main hypothesis under scrutiny is that technological alliances represent a key resource for firms in knowledge intensive sectors to cope with dramatic changes in the knowledge base, marked by the introduction of discontinuities opening up new technological trajectories. Using patent information and data on technological alliances drawn from the CATI-MERIT database, we compare the evidence concerning the so-called triad regions, i.e. United States, Europe and Japan. The empirical results support the existence of a life cycle in biotechnology affecting the pharmaceutical industry. Furthermore, the dynamics of alliances is found to depend on (i) the phase of the biotechnology life cycle, (ii) the strength of the region in biotechnology and (iii) the general features of the economic environment of the region.     

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.     

Optimal Patent Protection in a Two-Sector Economy

This article addresses the issue of optimal patent protection in an economy with a downstream and an upstream sector. The key insight is that higher patent protection in the downstream sector raises the incentives of agents to do R&D in that sector but discourages innovation in the upstream sector because of a market size effect. Hence, higher patent protection in the upstream sector accelerates growth whereas higher patent protection in the downstream sector slows it down. If some innovation is socially desirable, optimal patent protection is necessarily higher in the upstream than in the downstream sector.     

Environmental Policy and the International Diffusion of Cleaner Energy Technologies

Technology transfer is an important channel of technological change and sustainable development for countries with less innovative ability than technological leaders. This paper studies whether domestic environmental policies affect the inward technology transfer of cleaner innovation from abroad. We focus specifically on the power sector, for its important role in the decarbonization process, by looking at zero-carbon (renewable) and carbon-saving (efficient fossil) technologies for energy production. Using data on cross-country patent applications, we provide evidence that environmental policy contributes to attracting foreign cleaner technology options to OECD markets but not to non-OECD markets. We show that this is due to the nature of the implemented policy instruments. Market-based approaches positively impact technology transfer to both OECD and non-OECD economies, while non-market based approaches have at best only a weak effect in OECD countries. Domestic environmental policies may provide too weak a signal for foreign innovators in countries off the technological frontier. This calls for a strengthening of policy incentives for technology transfer in light of pressing climate change objectives.     

International knowledge spillovers in the wind power industry: evidence from the European Union

The purpose of this paper is to analyze the presence of international knowledge spillovers in the wind power sector. Specifically, the paper investigates whether successful invention efforts in one country, measured by way of granted wind power patent counts, have had positive effects on the neighboring countries’ abilities to generate patents of the same category. Data on the number of patents granted at the European Patent Office during the period 1978–2008 are used for the eight national technological leaders in the western European wind power sector. The few comprehensive wind power studies that exist have only found limited evidence of international knowledge spillovers. However, in this paper, we find that international spillovers are statistically significant determinants of a country’s wind power patenting outcomes. Geographical distance is also taken into consideration, and the knowledge spillover effects are shown to become stronger with decreases in this distance. The results should have important policy implications, for example, for a national government when it comes to applying an investment strategy in wind power or, alternatively, free-riding on other countries’ invention efforts.     

Schumpeterian patterns of innovation and the sources of breakthrough inventions: evidence from a data-set of R&D awards

This paper examines the relationship between Schumpeterian patterns of innovation and the generation of breakthrough inventions. Our data source for breakthrough inventions is the “R&D 100 awards” competition organized each year by the magazine Research & Development. Since 1963, this magazine has been awarding this prize to 100 most technologically significant new products available for sale or licensing in the year preceding the judgment. We use USPTO patent data to measure the relevant dimensions of the technological regime prevailing in each sector and, on this basis, we provide a characterization of each sector in terms of the Schumpeter Mark I/Schumpeter Mark II archetypes. Our main finding is that breakthrough inventions are more likely to emerge in ‘turbulent’ Schumpeter Mark I type of contexts.     

Does the position in the inter-sectoral knowledge space affect the international competitiveness of industries?

ABSTRACT

This paper empirically investigates how the inter-sectoral knowledge flows affect the international competitiveness of industries, once controlling for both cost and other technological factors. Using patent data on 14 manufacturing industries in 16 OECD countries over the period 1995–2009, we apply a network-based approach to capture the effect of industries' position in the flows of technical knowledge across industries, which we label inter-sectoral knowledge space. We find that (i) centrality and local clustering in the inter-sectoral knowledge space positively affect the export market shares of an industry, (ii) such two effects are rather redundant and (iii) national-level knowledge flows' impacts on international competitiveness are way stronger than international ones. Network measures of position in the knowledge space are found to be more relevant than standard technological indicators such as patent counts. Our results point to the importance of industries being well located in the stream of knowledge flows, rather than being innovative per se, and offer a novel yet robust proxy to measure technological factors affecting trade performances. In addition, we find evidence of geographical boundaries of knowledge flows.     

How knowledge flow affects Korean ICT manufacturing firm performance: a focus on open innovation strategy

The paper presents an integrated viewpoint of technological innovation strategy by considering both the firm and industry levels. Further, we provide a new open innovation framework by adopting a knowledge flow perspective using patent citation information. Finally, we consider a firm’s outbound open innovation performance using cites per patent information together with financial performance to look at both the practical and the potential effects of technological innovation strategy. Through these analyses, this study examines determinants of open technology innovation activity in the information and communication technology manufacturing industry in Korea and draws managerial and policy implications for effective industry promotion and improvement of technology innovation capability.     

Asymmetric technological distance measure based on language model

This article introduces a novel technological distance measure between companies based on their patent portfolios. We describe the technological position or characteristics of companies by applying the framework of language modelling technique in information retrieval on their patent portfolios. The proposed novel approach is an asymmetric measure and better captures the technological characteristic of a company and hence is a more accurate distance measure.     

Examining technological competition between BMW and Hyundai in the Korean car market

The Korean car market has increased in size. BMW and Hyundai are the top-ranked imported and domestic vehicle brands in Korea, respectively. Thus, it is important to understand these companies and the Korean car market, because technology is most significant in the vehicle industry. In this paper, we compare BMW with Hyundai from the technological perspective. Our research is focused on an analysis of the technological competition between BMW and Hyundai based on their developed technologies. We use all BMW and Hyundai patents from worldwide patent databases to analyse the two companies’ technologies. In addition, we apply statistical methods and machine learning algorithms to the patent analysis. In our conclusion, we show the technological differences and competition between BMW and Hyundai, and find their relative strengths and weaknesses.     

The Cosine-Shaped Pattern of Innovations and Technological Advantages： Theory and Evidence

Using data from 24 OECD countries, we find that the relationship between a country＇s R＆D investment and technological advantage in a sector （measured by the country＇s labor productivity of the sector relative to the rest of the world） is non-monotonic. In particular, for countries whose technology levels are much lower or higher than the rest of the world in a sector, their sectoral R＆D investment declines as their advantages in the sector improve; for counties with middle technology levels, the opposite is true. Extending the Eaton and Kortum framework, we develop a static model to theoretically analyze the relationship between R＆D investment and technological advantages. We show that when the research efficiency in a sector is sufficiently elastic with respect to the sectoral technological advantage, a country＇s R＆D investment increases with its technological advantage, and vice versa.     

Network Production,Efficiency And Technological Options: Toward A New Dynamic Theory Of Telecommunications ‡

In this work we propose a new model for the analysis of telecommunications (Tlc) networks production. This represents an extension of the fund-flow model by Georgescou-Roegen originally applied to the manufacture and agriculture sectors. The adopted framework enables us to describe the functioning of a Tlc network - and the technique underlying the different types of Tlc traffic - by means of a system of multi-production where the production time profile has been clearly defined. One of the most innovative elements of our analysis is the ability to analytically represent the qualitative features of technological options. It also signals new productive options connected to new Tlc services and the introduction of new network facilities. In this way we hope to both further a theoretical understanding of the technological dynamics of the Tlc sector, and provide guidance as to the strategic choices of the economic actors involved.     

技术标准与专利融合发展研究

当技术创新跃升为经济增长的关键因素之时，专利做为知识、技能的产权保护方式倍受关注。技术标准成为专利技术追求的最高形式和技术扩散的手段，与专利呈融合发展之势。通过定量与定性相结合的方法分析这种趋势及产生的内在原因，可明确适应技术标准与专利融合发展的应对之策，以助我国为实现自主创新而作出正确战略选择。     

The impact of public R&D investments on patenting activity: technology transfer at the U.S. Environmental Protection Agency

ABSTRACT

This paper presents estimates of the impact of public R&D on patenting activity at the U.S. Environmental Protection Agency (EPA). Using a time series of public sector agency data, we estimate the per-capita R&D elasticity of new patent applications using a knowledge production function framework model that is an expanded version of what other scholars have used with private sector data. New patent applications are an important step in the technology transfer activities of a federal agency. We estimate this elasticity to be about 2.0. This elasticity value represents an initial estimate of the impact of EPA’s R&D investments on its technology transfer activity.     

Technological innovation strategy: how do technology life cycles change by technological area

Discussions on the patterns of technological innovation have significant implications in terms of the efficient distribution of national R&D resources and the establishment of corporate managerial strategies. This study is focused on calculating and analysing technology cycle time (TCT) by technological area based on patent data that can be used as easily accessible objective indicators for the purpose of modelling the patterns of technological innovation by period and technological area. The main technological areas handled by the study include medical science, vehicles, metallurgy, and computing. Of the patent data registered with the United States Patent and Trademark Office from 1990 to 2014, International Patent Classification sub-class codes representing each technological area were selected to collect patent data, and to generate TCT statistics every five years. The TCT statistics generated is interpreted as the technological life cycle, to be used in modelling technological innovation patterns individualised by technology and period.