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.     

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.     

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.     

Firm size and types of innovation

We propose a general theory of innovation that illustrates the relative benefits of performing process versus product R&D when firm size is endogenous. A firm's size, scope, and R&D portfolio are shown to reflect the same underlying characteristic of the firm, namely manufacturing efficiency. We demonstrate that efficient firms become larger, have greater scope, and perform more of both process and product R&D. In light of decreasing returns to R&D, this implies small firms obtain more product innovations per dollar of R&D than large firms, which is consistent with evidence we present that small firms are more innovative than large firms as they obtain more patent counts and citations per dollar of R&D.     

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.     

Firm's objective function and product and process R&D

Firms undertake different kinds of R&D activities. They do product R&D (R&D aimed at improving the quality of existing products, and creating new products). They also do process R&D (R&D aimed at lowering the cost of making existing and new products). Moreover, firms often do both product and process R&D simultaneously. As far as the objective of firms is concerned, this need not be limited to profit-maximization only. Rather, firms may have a broader objective, where they care about profits as well as consumer surplus. This paper studies effects of a firm having a general objective function (that takes into consideration both profits and consumer surplus) on its product and process R&D choices, and corresponding implications.I consider product and process R&D choices of firms in an infinite horizon set-up with discrete time. Firms in my framework can simultaneously do both product and process R&D in every period, face a discrete-choice model of consumer demand with vertical product differentiation, and maximize a discounted, weighted sum of their profits and consumer surplus over the infinite time horizon.I show how process and product R&D differ from each other in my framework, and the role of a firm's objective function in this regard. I compare process and product R&D choices across firms that differ in their objective function, and illustrate effects of providing general R&D subsidies (subsidies given for any R&D, regardless of whether it is product or process R&D) to firms. I also characterize how in my framework, the choice of process R&D in total R&D — R&D composition — by an individual firm varies over time, and how process and product R&D choices, process and product R&D productivity, and the choice of R&D composition vary across firms that differ in size but are otherwise similar.     

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.     

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.     

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.     

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.     

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.     

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.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

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.     

Multinationals,R&D and Endogenous Productivity Asymmetries

We analyze the influence of endogenous productivity asymmetries between firms, in terms of competitiveness and size, on multinational activity. In the model, productivity depends on cost-reducing R&D (research and development). We show that when firms differ on commitment power in R&D, the R&D leader, independently of being a multinational or a domestic firm, tends to invest more in R&D than the R&D follower. Because of these productivity advantages, the R&D leader can more easily become multinational. Therefore, in addition to the proximity-concentration trade-off, we identify another FDI (foreign direct investment) determinant: technological competition.     

Industrial Policy and Firm Heterogeneity

Our concern in this paper is with firm-specific industrial policy. When R&D subsidies or taxes are differentiated among firms, the question arises as to which firms in an industry should receive such support. We analyze a situation where firms differ in their R&D technologies in two distinct ways: in the costs of performing R&D activities and in the output obtained from such activities. We find that the optimal firm-specific industrial policy is affected differently by the two sources of firm heterogeneity. Furthermore, a change in a firm's R&D productivity has an ambiguous effect on the optimal policy towards the firm.
JEL classification: O 31; L 52; F 13     

When do thick venture capital markets foster innovation? An evolutionary analysis

In this paper, we examine the trade off between different effects of the availability of venture capital on the speed of technological progress in an industry. We consider an evolutionary industry simulation model based on Nelson and Winter (1982), in which R&D efforts of an incumbent firm generate technological know-how embodied in key R&D employees, who might use this know-how to found a spinoff of the incumbent. Venture capital is needed to finance a spinoff, so that the expected profits from founding a spinoff depend on how easily venture capital can be acquired. Accordingly, thick venture capital markets might have two opposing effects. First, incentives of firms to invest in R&D might be reduced and, second, if spinoff formation results in technological spillovers between the parent firm and the spinoffs, the generation of spinoff firms might positively influence the future efficiency of the incumbent’s innovation efforts. We study the manner in which this tradeoff influences the effect of venture capital on innovation expenditures, speed of technological change and evolution of industry concentration in several scenarios with different industry characteristics.     

Product innovation: testing the relative influence of industry,institutional context and firm factors

This article analyses the influence of industry characteristics (concentration and technological opportunity), the institutional framework (social capital and spillovers from the public sector) and some firm factors (external and internal R&D) on product innovation in a unique integrated framework. Based on a sample of Spanish industrial firms, these variables were found to be positively related to firms’ product innovation. Also, results show that in institutional environments with significant levels of social capital and spillovers, firms change their innovation strategy focusing on external R&D.     

Differentiation of innovation strategies based on pharmaceutical licensing agreements: Insight from Korean pharmaceutical firms

The paper aims to show how licensing behaviour can be used to differentiate distinct innovation strategies. Information on in-licensing and out-licensing agreements is used to guide the development of a framework that details the licensing firm’s relational preference for internal and external orientation. Using firm-level data of the Korean pharmaceutical firms, the study categorised the distinct strategic orientations of firms based on the proposed matrix model. The results indicated that firms with higher R&D (research and development) expenditures have a tendency to greater external exploitation of technological knowledge than firms with low R&D spending. The study provides potential avenues for targeting of licensing partners from the perspective of firms seeking to in-license or out-license their innovations.     

Endogenous R&D networks when labour unions have preferences over wages and employment

We develop a model to analyse the pattern of R&D network formation when unions have relative preferences over wages and employment. Within a three-firm industry, we show that when the unions place a low weight on wages and technological spillovers are low, a partial R&D network that includes two firms but excludes the third emerges in equilibrium. In contrast, when the unions care a lot about wages, a complete R&D network that includes all firms emerges. For all other intermediate levels of union preferences over wages, there is no strong stable equilibrium network. Empirical implications emerge from these findings, which are also discussed.