A technology opportunities analysis model: applied to dye-sensitised solar cells for China

Technology opportunities analysis (TOA) can support policy-makers or managers in making strategic technical decisions so as to enhance their technological innovation capability and international competitiveness. This paper presents a multi-level framework to support and systematically identify technological opportunities. Patent data as a key component of technology innovation are used to enable TOA within the framework in the present research. At the research and development (R&D) level, we anticipate the directions of technology development based on technology morphology. Countries’ development emphases can also be investigated in order to help identify their R&D strengths and weaknesses and to seek promising development pathways. At the level of competition, we devise the assignee-technology analysis to obtain insight into competitive participants’ technical emphases and intents. It is also used to explore possible collaboration opportunities among them. At the market level, we apply patent family analysis to understand countries’ target markets and to assess prospects for the commercialisation of their technology. We pursue TOA to explore China's opportunities and challenges in dye-sensitised solar cells. The empirical case analysis supports the effectiveness of the TOA model. We believe it can be adapted well to fit other emerging technologies.     

Real option as strategic technology uncertainty reduction mechanism: inter-firm investment strategy by pharmaceuticals

Whether pharmaceutical firms use the real option (RO) mechanism for strategic technology uncertainty reduction and whether the role of RO decreases when industrial technology progresses from research and development (R&D) to commercial activities in a product life cycle is discussed. The evidence confirms that pharmaceutical firms enter different in the external technology sourcing. Moreover, RO-based entry coefficients differ in sizes at different levels in the industrial value chain. The R&D entry stage is relatively greater than the clinical trials entry stage. However, contrary to the proposition that the commercial entry coefficient will be relatively lower; the results indicate that the commercial RO-entry stage appears to be relatively greater than both the R&D entry stage and the clinical trials entry stage. The overall RO-based entry in external technology sourcing appears to be a U-shaped curve along the product life cycle. The article highlights some theoretical and practical implications of these findings.     

Exploring promising vacant technology areas in a technology-oriented company based on bibliometric analysis and visualisation*

Under technology convergence phenomenon and fast-changing social demands, it is inevitable to collect and analyze a large amount of information in order to determine a vacant technology area that can preempt the market. Thus, this research aims to propose a systematic approach to identifying vacant technology areas by reflecting the technological competitiveness of company. Vacant technology is identified as underdeveloped and undeveloped vacant areas for a firm in both macroscopic and microscopic view by generating a technology level map in a practical view. In addition, vacant technology can be identified as undiscovered vacant areas in a microscopic view by using generative topology mapping (GTM) and local outlier factor (LOF). In a respective view, the promising vacant areas are defined by developing various indicators that represent competitive strength, growth stage, and marketability in both macro and micro level, and novelty indicators that represent originality and marketability in the micro level. The proposed approach is applied to the information & communication technology (ICT) R&D technology classification to validate its usefulness. The results can be used to enhance the practical application of R&D technology planning, understand the current technology level, and perform future technology planning.     

Employment growth and innovation at the firm level

We analyze the influence of innovation on growth rates of employment in 859 Dutch manufacturing firms over the period 1983–1988. Whereas the (growth of the) R&D intensity of firms has a slightly negative impact on employment, we find that firms with a high share of product-related R&D (as a proxi of R&D related to industrial activities in an early stage of the life cycle) experienced an above average growth of employment. The same holds for firms which directed their R&D towards information technology. Smaller firms have, ceteris paribus, substantially higher growth rates of employment than their larger counterparts. Against our expectations, R&D cooperation has no significant impact on employment growth. The same holds for activities in the fields of biotechnology and new materials.     

Strategic technology editing of the patent stage: lesson from a case of inkjet printer development

Patents are conventionally regarded as representing post-procurement of rights based on results of research and development (R&D). Patents can also be regarded as factors promoting R&D itself. In this study, the author examines the strategic meaning of patents in R&D through analyses of the R&D processes at Canon Inc., which is widely considered to submit patents strategically. The author identified characteristic behaviour related to patent acquisition in the R&D of inkjet printers. Canon constructed a strong patent group precisely by editing patents submitted earlier. Characteristic patent submissions were also identified: they elevated the obtained R&D results to higher concepts as milestones of R&D. These findings are discussed from the viewpoint of the meaning of patents for R&D and the possibility of effective R&D at the patent stage.     

The effect of risk-sharing government subsidy on corporate R&D investment: Empirical evidence from Korea

Despite the wide belief that the high social rates of returns to R&D investment justify government subsidy policy in advanced countries, there are only limited studies about whether the R&D subsidy as a means of risk-sharing stimulates R&D investment of small and medium sized enterprises (SMEs) in developing countries. This paper empirically investigates the issue, using a unique data set on government subsidy for new technology development of Korean manufacturing firms, listed and non-listed, for the period from 2000 to 2007. The paper employs the DID estimation procedure and controls for simultaneity of the subsidy for new technology development using 2SLS and two step Tobit procedure. Our empirical results show that there is no solid evidence for crowding-out effects of the government subsidy. These results suggest that government subsidies could help SMEs to overcome the barriers to risky R&D projects through sharing R&D failure risk with government and by reducing capital costs to undertake new technology development projects, and thus the subsidy policy for new technology development seems to be partly successful in promoting the R&D investment of the Korean SMEs.     

Driving forces for research and development strategies: an empirical analysis based on firm-level panel data

This paper investigates empirically different ways to organize research and development (R&D) within Swiss firms. Based on a longitudinal data set comprising three cross-sections (1999, 2002, and 2005) of the Swiss Innovation Survey, four different types of R&D strategies could have been separated; firms combine in-house R&D with R&D co-operations (coop) or in-house R&D with external R&D (buy), or they conduct in-house R&D, external R&D, and R&D co-operations (mixed), or they exclusively rely on in-house R&D (make). It is the aim of this paper to understand what drive firms to go for different strategies. Based on econometric estimations controlling for correlations between the dependent variables and endogeneity among the independent variables, it was found that concepts related to the absorptive capacity, incoming spillovers, and appropriability, the importance of different knowledge sources, the competitive environment, costs, and skill aspects as well as technological uncertainty are essential factors to determine a firm's decision to choose a specific way to organize R&D.     

Using patent data to analyze trends and the technological strategies of the amorphous silicon thin-film solar cell industry

With the shortage of raw materials for the production of crystalline silicon solar cells, the next generation of solar cells has reached the perfect stage for development. While in the past, researchers have emphasized the development of crystalline silicon solar cells, the application of the next generation of crystalline silicon solar cells is different. Of the thin-film solar cells (TFSCs), the most widely recognized is the amorphous silicon (a-Si) TFSC. It has the greatest potential to be developed, and many manufacturers have already invested in its research and development (R&D). In this study, we employed a set of indicators to analyze the technological development of the a-Si TFSC, and found that the major technology field has reached the mature stage in the technology life cycle of this product; moreover, four patent strategic clusters were identified. The results regarding the company and technology levels of the clusters were integrated with profile data and developmental progress information to understand the patent performance, technologic capacity, and R&D background of the a-Si TFSC.     

R&D intensity,economic growth and firm-size growth: theory and practice

This article proposes a theoretical knowledge-driven horizontal research and development (R&D) endogenous-growth model to explain, for 10 innovative countries, the co-movement of the respective R&D intensity, economic growth and firm-size growth, by exploring short-medium-run and long-run growth effects. Bearing in mind some recent literature, we improve the R&D technology, by considering that R&D is more labour intensive through time as complexity increases, that the diffusion of designs is affected by coordination, organizational and transportation costs, and that a potential entrant will come up with the right idea is reduced because of the presence of a larger number of entrants. We show that when the economy is not initially in a steady state, it can take a saddle path towards the unique and locally saddle-path stable interior steady state. Both transitional-dynamics and steady-state behaviours of our theoretical model are then consistent with, respectively, the time-series and the cross-sectional evidence.     

International Cooperation on Climate-friendly Technologies

We examine international cooperation on technological development as an alternative to international cooperation on emission reductions. We show that without any R&D cooperation, R&D in each country should be increased beyond the non-cooperative level if (i) the technology level in one country is positively affected by R&D in other countries, (ii) the domestic carbon tax is lower than the Pigovian level, or (iii) the domestic carbon tax is set directly through an international tax agreement. We also show that a second-best technology agreement has higher R&D, higher emissions, or both compared with the first-best-outcome. The second-best subsidy always exceeds the subsidy under no international R&D cooperation. Further, when the price of carbon is the same in the second-best technology agreement and in the case without R&D cooperation, welfare is highest, R&D is highest and emissions are lowest in the second-best R&D agreement.     

Hidden innovators: the role of non-R&D activities

Although R&D has been highlighted as the main source of firm-level innovations, a significant group of firms develop innovations without performing R&D activities. The primary goal of this study is to understand the sources of innovation in such firms. To accomplish this goal, we explore the role played by other, non-R&D activities that can lead to innovation – activities such as technology forecasting, design, use of advanced manufacturing technologies and training. Our empirical analysis is based on a representative panel of Spanish manufacturing firms. The results strongly support the view that non-R&D activities are critical factors in explaining both product and process innovations attained by any firm, especially in the case of firms not performing R&D. Academic, managerial, and policy implications are derived from these results.     

Timing and Commitment of Environmental Policy,Adoption of New Technology,and Repercussions on R&;D

We investigate the interplay between environmental policy, incentives to adoptnew technology, and repercussions on R&D. We study a model where a monopolistic upstream firm engages in R&D and sells advanced abatement technology to polluting downstream firms. We consider four different timing and commitment regimes of environmental tax and permit policies: ex post taxation (or issuing permits), interim commitment to a tax rate (a quota of permits) after observing R&D success but before adoption, and finally two types of ex antecommitment before R&D activity, one with a unique tax rate (quota of permits), the other one with a menu of tax rates (permit quotas). We study the second best tax and permit policies and rank these with respect to welfare. In particular, we find that commitment to a menu of tax rate dominates all other policy regimes.     

Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries

Using data for 17 Organisation for Economic Co-operation and Development (OECD) countries over 29 years for 28 industries, this paper estimates industry-wise research and development (R&D) spillovers from the largest R&D investors and the most R&D-intensive industries that contribute 80% of global R&D. In doing so, it tests several assumptions made in the literature, and data rejecting them, proposes a methodology on R&D return estimation devoid of these assumptions. Results show that R&D has substantial spillovers, justifying R&D support policy. Each dollar of R&D generates about 29 cents in spillovers domestically and 4 cents in foreign countries. However, both intra- and inter-industry spillovers vary by industries, implying that the policy of supporting each R&D dollar uniformly across industries is suboptimal. Contrary to industry heterogeneity, the R&D spillovers from an industry do not vary substantially across countries, suggesting that optimal R&D policy across OECD countries might be uniform. An industry-by-industry technology matrix shows that sometimes an idea generates a greater impact on other industries than where it is generated.     

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.     

中国研发投入的动态演化

R&D investment is enterprises’ strategy based on the market demand on innovative products and its production capacity for them. Enlarging market demand would spur the enterprises’ R&D input and the enhancement of technology state in production ability could have a complex effect on less developed countries’ R&D expenditure. With the measurement of China’s technology state compared to the United States and Japan, this paper explores with the state space model the dynamic effects of determinants on China’s R&D expenditure with the data during 1987–2006. The result illustrates that the growing national income, a proxy of domestic market demand, impedes the further R&D investment in China due to the enormous demand for necessities dominated by lower income class, and the income inequality is the major incentive for R&D investment via the higher pricing on the wealthy group, and that the improvement of technology state reduces the innovation risk and plays an important role in stimulating R&D expenditure.      

Technological innovation and multinational expansion: A two-way link?

The paper examines how investment in research influences the form of foreign expansion chosen by the firm, and vice versa. We consider a two-country model where a monopolist producing in one country can choose between export and foreign direct investment. We assume process innovation, where the cost-reducing technological innovations are an outcome of the firm's investment in R&D. The role of technology transfer costs is explored. The model shows that, with low costs of technology transfer, there is a two-way link between the firm's R&D effort and multinational expansion. We also prove that both the research choice and the multinational choice have a positive effect on consumers' welfare in both countries.     

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.     

Firm performance and corporate finance in New Zealand

Low productivity growth in New Zealand has been a paradox. We study New Zealand firms’ profitability, in terms of profit margin and return on assets (ROA), from the viewpoints of productivity enablers using firm-level panel data. We find that tangible fixed investment and a research and development (R&D) tax incentive are associated with higher profitability performance. In addition, the firm size is found to be a key determinant of profit margin. By contrast, we do not find any evidence that intangible investment can improve the profitability. The global financial crisis has not changed the leverage effect on ROA in New Zealand, while the impact of R&D became more prominent after the crisis.     

A comparative analysis of the change in R&D efficiency: a case of R&D leaders in the technology industry

This paper measures the cumulative change in research and development (R&D) efficiency of globally leading R&D companies in the technology industry. We use Data Envelopment Analysis /Malmquist index to analyse 49 such companies. The change in R&D efficiency is analysed by decomposing the Malmquist index into ‘catch-up’ and ‘frontier shift’ indices, and by comparing cumulative indices to those at the starting period. Those cumulative indices are obtained at both a firm and an industry level. Results indicate that the overall R&D efficiency of these globally leading R&D companies declined slightly during the period 2007–2013. At a firm level, this study determines in detail how the trend of each firm in R&D activities differs from other companies.     

An analytic network process approach to partner selection for acquisition and development

To cope with rapid technological change and the increasing R&D costs during a period of decreasing technology and product life cycles, acquisition and development (A&D) has been suggested to be an important method for high-tech firms to achieve higher economic returns. However, few studies have examined the operational problems of choosing a compatible A&D candidate from a pool of potential A&D candidates. To address this limitation, this study proposes an approach based on the analytic network process (ANP) to rank a set of potential A&D candidates within a multivariate set of attributes systematically. A total of 25 criteria were identified and used to construct the ANP model in which the final selection is based on the resulting priorities assigned to the A&D candidates. A case study of a semiconductor manufacturing company was conducted to illustrate the application of the proposed approach. The results indicated that the proposed ANP method can aid in A&D decision-making problems systematically.