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.     

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.     

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.     

Technological districts localized spillovers and productivity growth. The Italian evidence on technological externalities in the core regions

Technological R&D externalities are the effects on the technological capacity of each firm stemming from the complementary and interrelated activities of R&D activities of other firms that operate both in the same industry and in other industries. R&D technological externalities are specially influential at the regional level. Regional proximity enhances the circulation of information, the opportunities for external learning; the scope for capitalizing on potential complementarities among the variety of firms and the different R&D activities being carried out by each firm, and the opportunity for technological networking. The empirical evidence on core regions in Italy in the 1980s confirms that regional clustering of complementary and interrelated R&D activities facilitated the emergence of technological districts. Firms located within technological districts benefited enormously from the R&D technological externalities spilling out from the complementary and interrelated R&D activities of other firms localized in the same area. Consequently, firms localized within technological districts had fast rates of introduction of technological innovations which, in turn, made it possible for total factor productivity levels to be raised with comparatively low levels of intra-muros R&D expenses.     

R&D subsidies in a model of growth with dynamic market structure

This paper presents the effects of an R&D subsidy in a Schumpeterian general equilibrium model with rich industry dynamics. R&D subsidies raise the long-run growth rate, but they also raise the level of industry concentration. In the model firms compete for market share through process R&D endogenously determining the market structure within and across industries. Endogeneity of the market structure allows for analysis of changes in the moments of the firm size distribution in response to policy. R&D subsidies primarily benefit large incumbent firms who increase their innovation rates creating a greater technological barrier to entry. Concentration increases with fewer firms and a higher variance in the market shares. In general equilibrium, the greater distortions in the product market cause the wage rate to fall which leads to increased turnover rates. In addition, the analysis demonstrates that the model captures a large number of empirical regularities described in the industrial organization literature, but absent from most endogenous growth models. These features, such as entering firms are small relative to incumbents, the hazard rate of exit is negatively related to firm size, and large firms spend more on R&D than small firms play important roles in understanding the impact of R&D subsidies on the economy.     

Appropriation Of Returns From Technological Assets And The Values Of Patents And R&D In Japanese High-Tech Firms †

This paper investigates the extent that technological assets contribute to the value of the firm, using the sample of 90 Japanese firms in pharmaceutical, chemical, and electrical equipment industries. We use the firm's R&D expenditures and the number of patents (in stock) as the measures of its technological assets and show that the relative usefulness of these two measures varies across industries. Particularly, Tobin's q is positively related to the technological assets most strongly in the pharmaceutical industry. It is also most sensitive in this industry to the level of patent stock, coinciding with the view that drug patents are more effective than other patents as a means of appropriating returns from innovation. The communications equipment industry is also characterized by its q's dependence on patent stock. In addition, this industry's q is particularly sensitive to the level of net R&D investment in the most recent year, presumably because of the rapid technological progress in this industry.     

Business type,industry value chain,and R&D performance: Evidence from high-tech firms in an emerging market

This study focuses on how the business type and technological learning mode, which a high-tech firm chooses based on its core competence, influence the firm's R&D strategies, which in turn affect firm performance. This study also explores how the interaction between a firm's business type and industry value chain stage affects the relationship between R&D investments and operating performance. We suggest that the linkage of R&D investments and operating performance will increase gradually, when firms move from contract manufacturing to own brand business. R&D investments can contribute more to performance when firms adopt the hybrid business type. Furthermore, R&D investments generate more significant benefits for the own brand companies than the contract manufacturers at the same stage of the industry value chain. R&D investments of the downstream contract manufacturers have a negative impact on firm performance. Regardless of business type, firms in the upstream (midstream) stage of the industry value chain outperform downstream stage firms in deriving benefits from R&D activities. Finally, the lagged effects of R&D investments on operating performance are affected by the interaction between business type and industry value chain.     

A Schumpeterian model of equilibrium unemployment and labor turnover

This paper constructs a general equilibrium model of equilibrium unemployment by combining an endogenous growth model with a variant of equilibrium search theory. The analysis offers two explanations for the causes of widening wage gap between skilled and less-skilled labor, and rising unemployment rate among the less skilled: technological change in the form of an increase in the size of innovations or skilled labor saving technological change in R&D activity. In addition, the model identifies two distinct effects of faster technological progress on the aggregate unemployment rate. First, it increases the rate of labor turnover and therefore increases the aggregate unemployment rate – the creative destruction effect. Second, it creates R&D jobs, which offer workers complete job security, and consequently reduces the aggregate unemployment rate – the resource reallocation effect.     

What are good R&D investment strategies for leaders and followers?

Research and development (R&D) investment affects the growth of firms in the same industry differently according to their technological positions. This study empirically investigates differences in how R&D investment influences firm growth between technological leaders and followers. Additionally, this study investigates the moderating effects of complementary assets and market competition on the relationship between R&D investment and firm growth. Using a sample of 2322 observations from 492 firms in the U.S. chemical and allied products industry for the period 2000–2009, we show that an increase in R&D investment leads to greater firm growth for technological followers than for technological leaders. We also find that the moderating effects of complementary assets and market competition vary depending on whether a firm is a technological leader or follower.     

Foreign direct investment in R&D and domestic entrepreneurship in China’s manufacturing industries

This paper argues that internationalization of innovation and the related spillovers can also affect the likelihood of firm entry and exit into an industry. By making use of firm-level panel data from China over the period 2005 to 2007, this paper examines the impact of foreign direct investment (FDI) in research and development (R&D) and the related linkages on entry and exit likelihoods of domestic firms in (i) transport equipment and (ii) electrical machinery and equipment manufacturing industries. In order to evaluate the region-of-origin effect, this paper also separately examines the impact of FDI in R&D originating from (i) all countries except Hong Kong, Macau and Taiwan and (ii) Hong Kong, Macau and Taiwan. Furthermore, the impact of FDI in R&D on entry and exit of Chinese firms in the two industries is examined by splitting the data into large and small firms within the two industries. The results of the pooled probit regression reveal that FDI in R&D and the related spillovers can have a significant impact on the likelihood of entry and exit of domestic firms in transport equipment and electric machinery and equipment industries. The empirical analysis also suggests that the impact of changes in FDI in R&D and the related spillovers varies across firm size.     

Multimarket contact and inter-firm cooperation in R&D

Research joint ventures (RJVs) have been widely acclaimed for their alleged ability to restore private incentives to undertake R&D. Economists have, however, also sounded the alarm concerning the opportunities RJVs may create for collusion between partners. The danger of anti-competitive behavior increases significantly when repeated R&D collaboration occurs between firms that also “meet” in many product markets. This phenomenon is shown to be present in a large set of U.S.-based RJVs. The question is about the incentive trade-off: Are the alleged advantages of RJVs in terms of enhancing incentives for R&D sufficient to overcome the potential disadvantages in terms of decreasing incentives for R&D due to simultaneous multiproject and multimarket contact? Significant foreign participation, high technological and market uncertainties, and the set up of “porous” RJVs may operate as a check to anti-competitive behavior.     

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     

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 expenditures and firm growth – is small beautiful?

ABSTRACT

This paper examines how efficiently different groups of firms use their R&D expenditures. To this end, it investigates how the empirical relationship between firms' R&D expenditures and their sales growth varies with different values of firm size, firm age, and the number of firms in the respective industry. Using panel data for Switzerland ranging from 1995 to 2012, the paper finds that smaller, more mature firms show a more positive relation between R&D expenditures and sales growth than both relatively larger or younger firms. The paper argues that, on the one hand, these firms can benefit from various small size advantages in the R&D process, such as more motivated researchers, caused by a stronger connection to the firm's fate. On the other hand, these firms can also benefit from a well-established R&D department that allows absorbing the latest technological developments. The paper further finds that industries consisting of many small firms show a more positive relation between R&D expenditures and sales growth than industries consisting of only a few large firms. The intuition behind this result is that industries consisting of many small firms imply more independent innovative trials, which then together result in a higher probability of discovering successful innovations. In sum, the paper finds that groups consisting of a large number of small, more mature firms spend their R&D in the most efficient way.     

Firms’ human capital, R&D and innovation: a study on French firms

This article investigates the effects of human capital and technological capital on innovation. While the role of technological capital as measured by research and development (R&D) expenditure has been intensively investigated, few studies have been made on the effect of employee training on innovation. This article explores the relationship between innovation and firm employee training. Our methodological approach contributes to the literature in three ways. We propose various indicators of firm employee training. We build a count data panel with a long time-data series to deal with the issue of firms?? heterogeneity. We propose a dynamic analysis. Using dynamic count data models on French industrial firms over the period 1986?C1992, we find positive and significant effects of R&D intensity and training on patenting activity. Whatever the indicators of training our results show that the firm employee training has a positive impact on technological innovation.     

Quantitative growth effects of subsidies in a search theoretic R&D model

Should government subsidize R&D and does it matter how these subsidies are allocated? We examine these questions in a dynamic model where R&D is described as sequential sampling from a distribution of new ideas. Successful discoveries affect future available resources and incentives for further R&D. Consequently, there may be under-investment in R&D. We study the effect of government interventions aimed at fostering growth through R&D. Calibrating the model with aggregate data from the Israeli business sector allows us to quantitatively compare two forms of support resembling those actually used to encourage R&D in the Israeli business sector: (i) an unrestricted subsidy that may be used at the recipients' discretion to finance R&D or other investments, (ii) a subsidy earmarked by the government for R&D activities only. While there is no theoretical way to determine which of the two subsidies will have a greater impact on search for new ideas and growth, we find that in the calibrated economy both subsidies have a significant but similar impact on the economy's output and TFP growth rates. Accordingly, in the case of the Israeli business sector, the incentives to conduct R&D were sufficiently strong, and no R&D-specific encouragement was needed. However, a sensitivity analysis reveals that for economies characterized by other parameter values this result may not be true. Correspondence to: B. Bental     

Becoming an acquirer and becoming acquired

This paper considers mergers and acquisitions (M&A) in Finland. We explain the likelihood that a firm acquires or is acquired by another firm. We try to find out whether the incidences of M&A are influenced by the firms' R&D activity, measured by the calculated R&D stock. We obtained a very robust result, which says that R&D stock increases the probability that a firm acquires in all industries. In the nonprocessing industries, R&D stock similarly increases the probability that a firm is acquired by another. In the processing industries, the firm's own R&D stock has, however, zero impact on the likelihood that another firm buys a firm concerned. We interpret these results indicating that M&A are used as instruments to transmit knowledge from one firm to another. In the nonprocessing industries, it is evident that knowledge capital cumulated in the target is the main motivation for the purchase. Then a buyer's own R&D—which also increases the probability of the trade—signals that a buyer is efficient in absorbing the purchased new technology. In the processing industries, the motive for acquisition is different. We discovered that in the processing industries, technology is rather transmitted from the buyer's firm than to the purchased firm. It looks like that, in these industries, the firms have decreased their unit costs by means of their R&D activity, and so through M&A, the appeared unit cost differences have been levelled.     

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.     

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.     

Differences in business R&D intensity across OECD countries: the role of size-dependent regulation

We analyse the impact of size-dependent regulation in the labour market on business R&D intensity for 20 OECD countries spanning the periods 2002–2011. Using a difference-in-differences approach, we find that stricter size-dependent regulation leads firms with more than 50 employees to significantly reduce their R&D intensity. This finding implies that size-dependent regulation induces a distortion in the reallocation of R&D-related resources.