The Internet,R&D expenditure and economic growth

We examine the effect of the Internet on the relationship between R&D expenditure and economic growth. Data for 105 countries over the period 1994–2014 are used for panel data analysis. The effect of R&D expenditure on economic growth proves to be affected positively by the Internet and the effect of the Internet on the economic growth is positively strengthened by an increase in R&D expenditure.     

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.     

A computational analysis of R&D support programs

We compare two common government R&D support programs, R&D tax credits and direct R&D grants. To study their effectiveness and the extent to which their design matters, we analyze these programs within a dynamic equilibrium model of imperfectly competitive industries. Adopting comprehensive welfare measures that take into account government, producer and consumer surpluses, we find that both schemes exhibit positive social returns. Mid-range R&D-intensive sectors exhibit higher social returns than either high or low R&D-intensive sectors. Both incentive schemes generate positive measures of R&D input additionality of magnitudes consistent with empirical R&D research. However, R&D grants that require firms to allocate subsidy funds to R&D spur less R&D than a more flexible R&D tax credit. Subsidy schemes can even induce competing firms to over-spend on R&D, generating negative producer surplus and possibly negative social returns.     

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.     

Assessing the influence of differentiation strategy and R&D subsidies on R&D cooperation

This paper explores the R&D cooperation determinants of the innovative companies belonging to the Spanish manufacturing sector. Our findings suggest that the variable R&D subsidy is endogenous, significant, and has a strong positive influence on R&D cooperation. This is a clear indication that the achievement of public aid is often conditioned by the obligation for companies to cooperate in R&D. We have also found that the differentiation strategy variable is significant and has a negative influence on R&D cooperation. Companies positioned in a differentiation strategy probably own and use some different knowledge from other companies. Consequently, they will not have much interest in taking advantage of the spillovers generated by other companies. It is therefore logical that they are reluctant to establish cooperation agreements on R&D. Therefore, companies positioned in the differentiation strategy need public policies to support R&D that are not conditioned to the establishment of cooperation agreements.     

A simple theory and evidence on the determinants of firm R&D

This paper derives a simple, but informative, model of firm R&D to figure out key factors that determine firm R&D effort. The model suggests a demand-pull, technology-push theory of R&D by showing that a firm's profit-maximizing R&D expenditure is determined jointly by both demand-side factors and technology-side factors. The former includes demand size (firm sales) and consumer preference over quality and price and the latter includes R&D cost structure or the production-cost effect of product R&D and firm-specific technological competence. In addition, the model shows that other things being equal, the stock of exogenous technological knowledge, including the firm's previously accumulated technological knowledge, relevant to current R&D which is negatively related with current R&D effort. An empirical analysis of firm R&D intensities and technological capabilities of more than 1600 firms in nine industries across six countries provides supportive evidence for the theory. Further, the theory implies that R&D intensity or the R&D-to-sales ratio is independent of firm size unless firm size affects technological competence and that given consumer preference and R&D cost structure facing all firms in the same industry, the distribution of firm-specific technological competence among firms determines the distribution of firm R&D intensities within the industry.     

Long memory,economic policy uncertainty and forecasting US inflation: a Bayesian VARFIMA approach

We compare inflation forecasts of a vector autoregressive fractionally integrated moving average (VARFIMA) model against standard forecasting models. U.S. inflation forecasts improve when controlling for persistence and economic policy uncertainty (EPU). Importantly, the VARFIMA model, comprising of inflation and EPU, outperforms commonly used inflation forecast models.     

The impact of R&D subsidy on innovation: evidence from New Zealand firms

This study examines the impact of government subsidy through R&D grants on innovation output for firms in New Zealand. Using a large database that links administrative and tax data with survey data, we find that R&D grants have a stronger effect on more novel innovation (e.g. applying for a patent or introducing new products to the world) than on incremental innovation (e.g. any product innovation) and that larger, project-based grants are more effective at promoting innovation than smaller, non-project-specific grants. There is little evidence that R&D grants have differential effects between smaller (<50 employees) and larger firms.     

Patents and R&D expenditure effects on equity returns in pharmaceutical industry

As costs of pharmaceutical R&D soar and productivity falls, the role of research pipelines in firm valuations is changing. To date, surprisingly little work has been published on the effects of R&D pipeline performance on equity returns, while controlling for coincident factors, such as legacy patents and presence of blockbuster drugs in production. Using 1996–2013 data for nine largest pharmaceutical companies in the world, this article assesses the role of the above factors on returns to pharmaceutical companies equity. We show significant positive link between changes in the number of blockbusters on patent six months prior and returns in excess of pharmaceutical equity index. The number of patents granted by United States Patent and Trademark Office in a quarter is also a significant factor. On the other hand, we find that increases in R&D expenditure in large-cap pharmaceutical companies are viewed negatively by investors in the short term.     

The architecture of R&D joint projects: the social network analysis approach

This paper examines the effect of network properties on the performance R&D joint projects. In particular, we examine the impact of network cohesion, diversity and shape on the performance of these of exploration and exploitation R&D projects. We test these measures using data on projects from European R&D networks developed under the framework of Eureka projects. The empirical results indicated some network properties enhance the project’s performance and these differ depending on the kind of technological project developed. Our results suggest a lower heterogeneity, greater cohesion and network centralisation in exploitation than in exploration projects. Our findings show different types of structures depending on the aim of the joint project and that there exist different degrees of cohesion between the partners that comprise the core and the peripheral nodes.     

R&D strategy and innovation performance: the role of standardization

Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.     

R&D and productivity: Internal vs. external R&D - evidence from west german manufacturing industries

The paper explores the productivity effects of investment in external (contract) vs. internal (in-house) R&D in a sample of West-German Manufacturing Industries. The results provide strong evidence of a positive relationship between productivity and the share of external R&D in total R&D. This result is robust to alternative econometric specifications. Thus, findings suggest that the decision between internal and external R&D does matter. Moreover, results imply a nonlinear relationship between productivity and the share of external R&D for higher-technology industries, hinting at decreasing productivity effects of an increasing share of external in total R&D.     

Into thin air: using a quantile regression approach to explore the relationship between R&D and innovation

Applying quantile regression to 760 Finnish firms, we show that the relationship between R&D and firm performance is less straight forward than so far assumed. OLS regression analysis fails to capture the effect of R&D expenditure at different locations on the performance distribution. We reveal that R&D matters, especially on the medium quantiles, while regressing against the upper quantiles of the economic gains from innovation distribution exhibit decreasing returns scale in R&D. Our results confirm that Gaussian statistics fail to capture the most interesting part of the distribution – namely the extreme observations located in the tails.     

Demand-Creating R&D in a Symmetric Oligopoly

Spillovers with demand-creating research and development (R&D) activities are investigated by revisiting a widely employed market share rivalry demand structure. Positive technological spillovers may inflict positive or negative side effects on rivals and this has important implications for the effects on innovative efforts of loose or tight R&D cooperation in symmetric oligopolies. A comparison with the effects that apply with linear demand structures and implications for empirical research are also touched upon.     

Effectiveness of R&D subsidies during the crisis: firm-level evidence across EU countries

This paper is one of the first attempts in the literature to evaluate the effectiveness of R&D policies in Europe during the great crisis of the late 2000s. Using homogenous firm-level data for the largest EU Member States over the period 2007–2009, we test whether manufacturing firms receiving public subsidies spent more on R&D. The analysis is performed using both non-parametric techniques and parametric estimation methods accounting for the possible endogenous selectivity of R&D subsidies. The hypothesis of full crowding-out is rejected in all countries under exam as firms did not replace their own resources with public grants. However, these firms did not allocate additional funds to research and hence, differently from earlier works, we do not find evidence for additionality effects of R&D subsidies. Our estimates indicate that, albeit not expansive, public subsidies to R&D thwarted the reduction of firm R&D efforts in the aftermath of economic crisis.     

R&D,export and investment decision: evidence from European firms

This article provides an empirical investigation of the mechanism through which R&D influences export and tangible investment decisions. The analysis is based on a large representative and cross-country comparative sample of manufacturing firms across seven European countries. The novelty of this work lies in the three aspects. First, we expand the results on the R&D–export and R&D–investment relationships to a wide sample of cross-European firms. This differentiates from previous works based on single-country samples. Second, to the best of our knowledge, this study is the first in years which assess empirically the relationship between R&D and tangible investment at the micro level. Third, we control for endogeneity of R&D and simultaneity in firms’ decision whether to export and carry out tangible investment. The results of the analysis suggest that R&D positively affects export propensity and tangible investment. The results also reveal that neglecting endogeneity and simultaneity issues leads to underestimate the effect of R&D to both export and investment propensities.     

The R&D system for industrial development in Taiwan

The research and development (R&D) system for industrial development in Taiwan is made up of three parts: industrial firms, government-supported institutes (GSIs), and academic institutes and universities. The Taiwanese experience showed that the effective interaction of the GSIs and the industrial firms has successfully supported the development of its industry. The Industrial Technology Research Institute (ITRI) played the key role in industrial development during recent decades. This study provides a comprehensive analysis of ITRI and the way in which it fulfills its role through an examination of its major tasks. The implications for developing countries are also discussed.     

Knowledge investments, business R&D and innovativeness of countries: A qualitative meta-analytic comparison

The relationship between knowledge investments, innovation and competitiveness is an important topic in both academic research and economic policy and has been studied extensively over the past decades. Nowadays, investments in private and public R&D are believed to make up the heart of a modern knowledge economy. The present paper adopts an evolutionary economics perspective and investigates whether, in addition to private R&D activities, also institutional support systems and policy interventions play a role in inducing innovation initiatives and creating impacts on the performance and competitiveness of industries. We aim to find support for the hypothesis that the competitiveness of industries in the international arena is sustained by the dynamic interaction between national, regional and sectoral innovation systems. This may provide stakeholders with a better understanding of the context in which they operate. Since according to the evolutionary metaphor, the growth of an innovation system follows complex dynamics that cannot simply be analysed within a static quantitative equilibrium framework, we use here an alternative approach based on qualitative pattern recognition analysis originating from artificial intelligence analysis. Besides R&D expenditures, human capital expenditures are regarded as the major input in the knowledge creation process in our analytical framework. To this end, in our paper a qualitative causal model that maps out conditional relations between key factors in national innovation systems will be described. The focus of our investigation is on systematic patterns in the competitiveness of the EU Member States, using statistical information on innovation input and output data from the European Innovation Scoreboard. In our analysis we find support for the hypothesis that there are indeed significant interactions between distinct institutional levels, which may provide guidance to the strategic orientation of nations and the European Union in terms of the emphasis on competitiveness vis-à-vis cohesion.     

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.     

Input and output additionality of R&D subsidies

This article analyses the effects of public R&D subsidies on R&D input and output of German firms. We distinguish between the direct impact of subsidies on R&D investment and the indirect effect on innovation output measured by patent applications. We disentangle the productivity of purely privately financed R&D and additional R&D investment induced by the public incentive scheme. For this, a treatment-effect analysis is conducted in a first step. The results are implemented into the estimation of a patent production function in a second step. It turns out that both purely privately financed R&D and publicly induced R&D show a positive effect on patent outcome.