Link between innovation and productivity in Canadian manufacturing industries

Empirical studies commonly use research and development (R&D) to measure innovation and often find, especially in Canada, no strong link between productivity and innovation. In this article, we model innovation as an unobservable latent variable that underlies four indicators: R&D, patents, technology adoption, and skills. We find that these indicators are reasonably good measures of innovation for aggregate manufacturing. However, except for skills, the reliability of the indicators for innovation differs among individual industries. Our innovation indexes, based on the latent variable model, show that most manufacturing industries became more innovative over the 1980–1997 period. The pace of innovation in the electrical and electronic products industry accelerated during the 1990s. In addition, we show that the new measure of innovation has a positive and statistically significant impact on productivity. It takes from 1 to 3 years, depending on the industry, for innovation to generate an impact on productivity.     

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 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.     

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.     

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.     

Strategic timing in R&D agreements

We study the endogenous formation of R&D agreements in a R&D/Cournot duopoly model with spillovers where also the timing of R&D investments is endogenous. This allows us to consider the incentives for firms to sign R&D agreements over time. It is shown that, when both R&D spillovers and investment costs are sufficiently low, firms may find difficult to maintain a stable agreement due to the strong incentive to invest noncooperatively as leaders. In this case, the stability of an agreement requires that the joint investment occurs at the initial stage, thus avoiding any delay. When spillovers are sufficiently high, the coordination of R&D efforts becomes a profitable option, although firms may also have an incentive to sequence noncooperatively their investment over time. Finally, when spillovers are asymmetric and knowledge mainly leaks from the leader to the follower, investing as follower may become extremely profitable, making R&D agreements hard to sustain unless firms strategically delay their joint investment in R&D.     

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.     

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.     

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.     

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.     

Impact of firm size and industry type on R&D efficiency throughout innovation and commercialisation stages: evidence from Korean manufacturing firms

Technological innovation through R&D is a critical element in enhancing and fostering firm performance. In particular, measurement of R&D efficiency throughout the innovation and commercialisation stages is important. However, almost of R&D efficiency-related studies assumed that R&D is a single stage. This study aims at analysing relative efficiency scores throughout the stages of the R&D process using a two-stage data envelopment analysis (DEA) model with a sample of 1039 Korean manufacturing firms. Based on our preliminary results, this study was extended by comparing subsample groups categorised by firm size and industry type. The key findings include: (1) firms show imbalanced R&D efficiency throughout the two stages and (2) R&D efficiency is different by firm size and industry type. The empirical results and findings may assist policy- and decision-makers to enhance R&D efficiency at the firm level. Moreover, introduction of the two-stage DEA model and comparative analysis methods to firm-level data contributes to scholars.     

Managerial compensation and R&D investments: the role of the external managerial labour market

This paper investigates the importance of the external managerial labour market in the determination of managerial compensation and in the influence of the compensation incentives on a firm’s R&D investments. I design an empirical model including the compensation adjustment regression, of which the focus is the role of the external labour market, and the R&D regression that examines how the compensation incentives derived from the external labour market affect a firm’s R&D intensity. Empirical results suggest that the R&D intensity is positively related to the premium of the actual pay adjustments over the expected pay adjustments based on the external labour market comparisons. The effect of the compensation incentives on the R&D investments is strongest when managers expect pay to decrease but actually experience an increase in pay.     

Innovation, international technological diffusion and the changing influence of R&D on productivity

This paper analyses the relationship between OECD countries'business sector total factor productivity and domestic and foreignR&D efforts during the period 1961-1991. A sensitivity analysisis performed by making use of alternate estimations of specificationsin growth terms and in level terms. The results are shown tobe robust. They show that the influence of international technologicaldiffusion is, on average, substantially stronger than that ofdomestic R&D. In the case of the large economies, however,the latter influence is found to be more important. A structuralstability analysis provides evidence of a decrease in the estimatesin the mid-1970s, without significant recovery afterwards. Variouslong-run supply effects appear to have contributed. The discontinuousnature of the reduction does indicate, however, that these werereinforced by macroeconomic disturbances at the demand side.     

Lagging productivity growth: Measurement,technology, and shock effects

One of the most important problems about which economists have professional knowledge is lagging productivity growth. After illustrating some significant developments this paper addresses three questions: (1) To what extent does R&;D activity drive productivity growth, (2) how do alternative measures of productivity affect the conclusions and (3) how did the oil price shocks and the increased openness of the U.S. economy affect productivity growth? After removing the influence of the extremely dynamic computer industry, average manufacturing industry productivity in the U.S. throughout the 80s grew at a disappointing pace. And it didn't improve in the most dynamic industries. But there is good news as well. First, part of the 1970s productivity slump is clearly attributable to the 1973–74 oil price shock. Second and more important, technological innovation does not appear to have lost its power in driving productivity growth forward. Indeed there is evidence of stronger and more consistent productivity effects from R&;D investment during the 1980s, although the exact channels through which R&;D enhances manufacturing sector productivity are left in doubt. Estimates of the role inter-industry technology flows play are sensitive to aggregation and the conventions used to construct the industry price deflators underlying productivity measures.     

STRATEGIC R&D AND NETWORK COMPATIBILITY

We analyse the effects of network externalities in strategic R&D competition. We present a model of two firms competing with R&D investments and prices in a differentiated consumer market. Buyers form firm-specific networks which can be compatible. A high degree of compatibility and large spillovers moderate price competition due to weak strategic value of firm-specific networks and R&D investments, respectively. Asymmetry in product qualities brings out network effects that cancel out in conventional symmetric settings. The lower quality firm increases R&D and decreases its price as spillovers or network compatibility is increased. This happens when R&D and firm-specific network size have high strategic value.     

R&D spillovers and productivity: Evidence from U.S. manufacturing microdata

This paper deals with the estimation of the impact of technology spillovers on productivity at the firm level. Panel data for American manufacturing firms on sales, physical capital inputs, employment and R&D investments are linked to R&D data by industry. The latter data are used to construct four different sets of `indirect' R&D stocks, representing technology obtained through spillovers. The differences between two distinct kinds of spillovers are stressed. Cointegration analysis is introduced into production function estimation. Spillovers are found to have significant positive effects on productivity, although their magnitudes differ between high-tech, medium-tech and low-tech firms. First version received: April 1997/final version received: April 1999     

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.     

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.     

Effect Of Liquidity On Firms' R&D Spending

The effect of firms financial condition on their R&D investment is explored using a relatively long panel data set for five high-technology industries. We find that financial condition, whether measured as cash flow, the stock of liquid assets or the ratio of liquid assets to current liabilities, does affect the R&D spending of small firms. The effect persists after controlling for unobserved permanent firm effects, and the pattern of significance of lagged effects supports the interpretation of causality running from liquidity to R&D. For larger firms, there is no evidence of such an effect. Using these data, we cannot say whether the absence of an effect in larger firms results from better access to capital markets or from higher adjustment costs in R&D.     

The influences of different R&D types on productivity growth in OECD countries

Productivity has become an important concern for the sustainable development and growth of a country. Countries, such as those in the Organization for Economic Cooperation Development (OECD), that actively innovate and conduct Research and Development (R&D) activities always have high productivity growth, with research to date examining the positive influences of R&D on productivity. R&D activities are classified into three types: basic research, applied research and experimental development. To test the different influences of the different R&D types, panel data from 23 OECD countries for the period 1996–2010 have been constructed and the Data Envelopment Analysis method is used to measure and decompose productivity growth. Moreover, based on Mansfield's [“Basic Research and Productivity Increase in Manufacturing.” The American Economic Review 70: 863–873] model, the influences of each R&D type on productivity growth are tested. The empirical tests show that R&D investments in experimental development and applied research have a positive effect on productivity growth in the immediate period; basic research influences productivity growth with a lengthier lag, even up to three periods.