The Innovative Performance Of The World'S Largest Firms: Some New Evidence ‡

Data on R & D expenditures and US patenting in the world's 660 largest, technologically active firms both show a linear relation between firm size and the volume of innovative activities, despite some inconsistencies between the two measures. Technological diversity increases with firm size, but relatively weakly, especially in R & D-intensive sectors. Sectoral variations in the comparative technological advantage of large firms based in Japan, the USA and W. Europe are better explained by variations in rivalry in their home market than by variations in their size.     

Industry R&D intensity distributions: regularities and underlying determinants

This paper aims to examine the nature of the distributions of firm R&D intensities within industries and explore the factors that underlie the industry R&D intensity distributions. In particular, following the seminal study by Cohen and Klepper (1992) and using some new and rich data on firm R&D intensities for seven industries across six countries, this study examines the regularities in the industry R&D intensity distributions and demonstrates, based on a simple model of firm R&D, that the industry R&D intensity distributions are governed by the distributions of technological competence, a measure of firm R&D productivity, which corresponds to the notion of the “unobserved R&D-related capabilities” suggested by Cohen and Klepper (1992). This study found that firm R&D intensities within industries are lognormally distributed, displaying a strikingly regular pattern across industries, that the industry distributions of the levels of technological competence are also lognormal, and that, based on the formal model of firm R&D and the notion of the unobserved R&D-related capabilities, the distribution of firm technological competence within an industry underlies the industry's firm R&D intensity distribution.     

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.     

Does R&D spending boost tangible investment? An analysis on European firms

This article investigates the relationship between firm’s R&D intensity, expressed as R&D expenditure over sales, and investment intensity in tangible assets. It is commonly acknowledged that R&D requires additional physical investment to be implemented. R&D increases a firm’s productivity and return to tangible investments, thus, providing to the firm incentives to bear high tangible capital costs and to invest more. This represents a crucial issue for a firm’s growth, particularly considering the strong interaction between physical capital accumulation and technological progress. The analysis is based on a large sample of manufacturing firms across seven European countries in the period 2007–2009. Since the sub-sample of firms performing R&D might not be random, there may potentially be an endogeneity issue. The analysis also considers that firms may decide to spend on R&D and investment in physical capital simultaneously. The questions of both endogeneity and simultaneity are dealt with by employing an instrumental variable two-step procedure. We find a positive and significant impact of R&D intensity on firms’ tangible investment intensity. The econometric results highlight the importance of financial factors, particularly with respect to firms’ internal resources. Exposure to international trade has a negative impact on investment, possibly depending on the time-span of the sample used.

Abbreviations: Technological Innovation and R&D; Investment Capital; Industry Studies; Firm Behavior; Empirical Analysis     

R&D in Indian manufacturing enterprises: what shapes it?

The article examines the factors influencing research and development (R&D) in manufacturing entities. Using data on a large sample of companies for the period 1995–2007, the finding indicates that large companies have a higher probability of pursuing R&D, although with lower intensity. In terms of magnitudes, a 10% increase in firm size raises R&D intensity by roughly 0.6%. Both the intensity and the probability of undertaking R&D initially declines for older firms. Outward orientation, and especially foreign currency earnings, has a significant bearing on R&D efforts. R&D efforts are also found to vary significantly across firm ownership.     

R&D and productivity growth: Evidence from the UK

Although the econometric evaluation of R&D has attracted wide interest in many countries, it has not attracted much in the UK. The main objective of this paper is to fill this void, i.e., to estimate the impact of R&D on productivity growth of the UK manufacturing sector. However, there are some additional objectives. Firstly, we estimate the impact of R&D on productivity growth of large and small firms and we discuss a number of theoretical arguments regarding the role of firm size. Secondly, given that the technological infrastructure influences the innovative capacity of a firm, we compare the impact of R&D on productivity growth of high-tech firms with the corresponding impact on productivity growth of low-tech firms. Thirdly, we investigate whether the contribution of R&D to productivity growth has changed over time.

Based on firm-level data (78 firms, 1989–2002), we find that the contribution of R&D is approximately 0.04. Although the R&D-elasticity of large firms (0.044) is higher than the corresponding elasticity of small firms (0.035), the difference is small. In contrast, the R&D-elasticity is considerably high for high-tech sectors (0.11), but statistically insignificant for low-tech sectors. Finally, the investigation of the elasticity of R&D over time revealed an interesting discontinuity showing that although until 1995 the R&D-elasticity was approximately zero, after 1995 it increased dramatically to 0.09. We investigate the potential causes of such non-linearity and we suggest a number of possible explanations.     

Embedding environmental innovation in local production systems: SME strategies,networking and industrial relations: evidence on innovation drivers in industrial districts

Technological innovation is a key factor for achieving better environmental performances. Its role is even more relevant in local productions system, where innovation density, knowledge spillovers and externalities are concentrated in a circumscribed territory. The paper exploits new data for a sample of manufacturing firms in Northern Italy. New evidence is provided by testing a set of hypotheses, concerning primarily the role of environmental‐devoted R&D, networking activities, quality/nature of industrial relations. The role played by environmental policy pressure, structural firm features and past firm performances is also investigated to account for more exogenous forces. We show that structural characteristics of the firm appear to matter less than R&D, induced policy costs and innovative‐oriented industrial relations. Environmental auditing schemes also show some relevant correlation to innovation adoptions. R&D efforts appear to be associated to networking activities, which substitute for size‐related economies of scale. Overall, endogenous factors driven by firm strategy or local idiosyncratic features matter more than exogenous and structural firm factors.     

An Empirical Evaluation of The Effects of R&D Subsidies

R&D subsidies are a common tool of technology policy, but little is known about the effects they have on the behavior of firms. This paper presents evidence on the effects that R&D subsidies have on the R&D effort of recipients, and on the probability that a firm will participate in a program granting R&D subsidies. The empirical model consists of a system of equations: a participation equation; and an R&D effort equation. Endogeneity of public funding is controlled for. Estimates are obtained with a cross-section sample of Spanish firms. The main findings are that: 1) small firms are more likely to obtain a subsidy than large firms, probably reflecting one of the public agency's goals; 2) overall, public funding induces more private effort, but for some firms (30% of participants) full crowding out effects cannot be ruled out, and 3) firm size remains related to effort, whether or not a firm gets public funding.     

Cooperative research and the firm

This paper models cooperative R & D involving the university, the government, and the firm, using a linear programming format to determine the optimal cooperative structure or, “Who does what?” Both prime and dual are discussed. Sensitivity and simulation techniques are discussed as analytical tools to evaluate the effect of uncertainty and returns to scale on the optimal mix or structure of cooperative R & D. The value of the approach is both heuristic and analytical. Some problems and limitations of the approach are discussed briefly.     

Linking Knowledge to Productivity: A Germany-Italy Comparison Using the CIS Database

This paper employs micro-aggregated data from the FirstCommunity Innovation Survey for assessing the contribution of the level and type of R & D spending, the purchase of new machinerywith embodied technological change, economies of scale, and information sharing with client and suppliers to productivity(total sales per employee) in German and Italian firms in 20 manufacturing industries. The regression analysis confirms theresults of previous studies that R & D and technological change embodied in new machinery and capital equipment aremajor factors affecting productivity at the firm level. However, the elasticity of productivity to both R & D and embodiedtechnological change is higher in Germany than in Italy. Conversely, information sharing with clients and suppliersrelated to innovation projects does not result in higher productivity, with the exception of a few industries (inparticular those producing traditional consumer goods) in Germany.     

INNOVATION ACTIVITIES EXPLAINED BY FIRM ATTRIBUTES AND LOCATION

In this paper, innovation activities of a firm are observed as its R&D spending and participation in three categories of innovation systems. The various factors that can influence a firm's innovation efforts are divided into, (i) firm location reflecting the regional milieu and (ii) firm attributes such as corporate structure, nature of the knowledge production, type of industry and a set of specific firm characteristics. The study is based on information about 2094 individual firms, which may be non-affiliated or belong to a group (multi-firm enterprise). The empirical analysis applies a novel data set to examine the influence of location versus a vector of firm attributes. Among innovative firms, the location of a firm does not influence neither the R&D intensity nor the frequency of interaction in horizontal and vertical innovation systems, when controlling the skill composition, physical capital intensity, industry, firm size and market extension. The paper contributes to the literature by observing that innovative firms have similar characteristics irrespective of where they are located, although the share of innovative firms differs between regions.     

R&D activity in a dynamic factor demand model

The focus of this paper is an econometric analysis of the determinants of private firms' R&D activities in the context of a general dynamic factor demand model. Besides the traditional production factors we treat technological knowledge, endogenously determined by R&D expenditures, as a further input factor. While labour and materials are assumed to be variable, capital and know-how are considered as quasi-fixed. The dynamic demand equations for labour, capital investment and R&D which are derived from an intertemporal cost minimisation are estimated for a panel data set of small and medium size German firms. The data covers the period between 1978 and 1982 and includes 408 firms. It turns out that R&D activity depends on the underlying production structure as suggested by neoclassical theory. In addition, by introducing firm specific effects, we can show that firm size and market concentration influence innovative behaviour in accordance with the Schumpeterian hypotheses.Paper presented at the Industrial Organization Conference at the Annual Meeting of the Austrian Economic Association, Vienna, June 24–26, 1992, the 7th Annual Congress of the European Economic Association, Dublin, August 29–31, 1992, and the 19th Annual Conference of the EARIE, Stuttgart, September 4–6, 1992. Helpful suggestions and comments were received from participants of these conferences as well as from seminar participants at Temple University, at the University of Augsburg, and at the fourth DFG workshop Marktstruktur und gesamtwirtschaftliche Entwicklung in Munich. We are particularly indebted to an anonymous referee for very helpful specific comments. Finally, we would like to thank Horst Albach for providing us with the panel data set. Financial support of the DFG is gratefully acknowledged.     

The determinants of pharmaceutical research and development expenditures

Since the late 1970s, pharmaceutical R&D has grown at a rapid rate relative to sales and other variables. In this paper, we examine the determinants of pharmaceutical R&D using a pooled data sample of 11 major drug firms over the period 1974 to 1994. We find that expected returns and cash flows are important explanatory variables of firm research intensities during this period. This is consistent with our results for an earlier sample period characterized by very different growth patterns on R&D.     

An empirical investigation of the determinants of R&D cooperation: An application of the inverse hyperbolic sine transformation

This paper applies the Inverse Hyperbolic Sine (IHS) transformation to explore the variables that determine a firm’s R&D collaborative expenditure. The IHS specification is used to overcome the inconsistencies deriving from non-normality of error terms which are typical in censored data. This represents a novelty in R&D studies. The sample employed refers to 1231 Italian firms where the dependent variable under investigation is strongly skewed by the zero values and by the extreme observations. The results show that standard errors are smaller in the IHS model than in the more common logarithmic one. The analysis also shows that size and public grants are effective in determining the level of cooperative R&D expenditure. Absorptive capacity, outsourcing inputs or services externally and the industry, also play an important role.     

Technological opportunity and the growth of knowledge: A Schumpeterian approach to measurement

A model of endogenous growth, based on Schumpeter's notion of trustified capitalism, is developed and applied to firm-level data for the period 1973–1991. The model relates the market value of a firm to its current profits and to its R&D expenditures. The relationship depends upon the expected rate of knowledge growth, the expected value of an innovation and the elasticity of the R&D production function. Over the sample period, investors expected knowledge to grow at an average rate of 5 percent, a measure which reflects both process innovations and new product discoveries. Elasticities of the R&D production functions are estimated for thirteen industry groups and interpreted as measures of technological opportunity. There is no evidence of secular decline in technological opportunity over the sample period, but there is some evidence of diminishing returns to R&D intensity. Variations in technological opportunity over time are not correlated across industries. In contrast, the expected rates of knowledge growth at the industry level are highly correlated with the aggregate expected rate.     

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.     

Consumer inertia, firm growth and industry dynamics

We develop a model of firm size, based on the hypothesis that consumers are “locked in,” because of search costs, with firms they have patronized in the past. As a consequence, older firms have a larger clientele and are able to extract higher profits. The equilibrium of this model yields: (i) A downward sloping density of firm sizes. (ii) Older firms are less likely to exit than younger firms. (iii) Larger firms spend more on R&D.     

How effective are level-based R&D tax credits? Evidence from the Netherlands

This article examines the impact of the R&D fiscal incentive programme on R&D by Dutch firms. Taking a factor demand approach, we measure the elasticity of firm R&D capital accumulation to its user cost. Econometric models are estimated using a rich unbalanced panel of firm data covering the period 1996 to 2004 with firm specific R&D user costs varying with tax incentives. Using the estimated user cost elasticity, we perform a cost–benefit analysis of the R&D incentive programme. We find some evidence of additionality suggesting that the level based programme of R&D incentives in the Netherlands is effective in stimulating firms’ investment in R&D. However, the hypothesis of crowding out can be rejected only for small firms. The analysis also indicates that the level based nature of the fiscal incentive scheme leads to a substantial social deadweight loss.     

R&;D and productivity: using UK firm-level data to inform policy

The UK’s business R&D (BERD) to GDP ratio is low compared to other leading economies, and the ratio has declined over the 1990s. This paper uses data on 719 large UK firms to analyse the link between R&D and productivity during 1989–2000. The results indicate that UK returns to R&D are similar to returns in other leading economies and have been relatively stable over the 1990s. The analysis suggests that the low BERD to GDP ratio in the UK is unlikely to be due to direct financial or human capital constraints (as these imply finding relatively high rates of return).     

R&D boundaries of the firm: An estimation of the double-hurdle model on commissioned R&D,joint R&D,and licensing in Japan

This paper studies the firm’s decisions on in-house R&D and its procurement from outside through commissioned R&D, joint R&D, and technology acquisitions (i.e., licensing-in). Using the data about 14,000 manufacturing firms in Japan, we estimate a modified double-hurdle model in which the first hurdle determines whether the firm should perform any R&D at all and the second hurdle determines whether (and how much) it should perform each mode of procured R&D. The results generally support the two major theories—the transaction cost theory and the capability theory. The estimated positive effects of firm size, in-house R&D intensity, diversification, and vertical integration support the hypothesis that capability is needed for procured R&D, while the estimated positive effect of the index of appropriability by patents supports the hypothesis that this appropriability reduces transaction costs. In addition, we found that information flow from scientific sources and that from transaction-based sources affect the three modes of procured R&D differently.