Firm size and compositions of R&D expenditures: evidence from a panel of R&D performing manufacturing firms

The effect of firm size on diverse compositions of R&D expenditures is analysed in detail using firm-level data on the Korean manufacturing sector. On the grounds that each type of R&D activity differs in terms of salability in disembodied form and growth potential due to innovation, a distinction between product vs. process, and new vs. incremental R&D is made. Empirical tests show that the firm size is significantly associated with both the new and incremental R&D. Moreover, firm size is found to be significantly associated with other types of R&D compositions such as the share of R&D devoted to incremental innovation and multidimensional combinations of product, process, new and incremental R&D. These findings support the idea that large firms possess innovative advantages over smaller firms and firm size is an important determinant for firms’ heterogeneous R&D activities. We also discuss the limitations and the implications of the findings.     

The Nature of Innovation in R&D- and Non-R&D-Intensive Service Firms: Evidence from Firm-Level Latent Class Analysis

Innovation in services has been largely characterised by the predominance of non-technological innovation and low intensity in research and development (R&D) activities. However, most cross-industry analyses still overlook the organisational character of innovation in services. In this article, we use latent class analysis to examine the nature of innovation in 2148 firms from 20 service industries in Spain. On the basis of the analysis of 10 innovation types and 5 kinds of innovation activities, a taxonomy composed of 2 R&D-intensive and 2 non-R&D-intensive clusters is proposed. The findings indicate that organisational innovation counts for three of the four profiles, the new management techniques being the most common organisational innovation in all clusters. Furthermore, micro- and small-sized firms from several subsectors are more likely to be R&D-oriented than medium and large companies. The results underline the coexistence of different innovation patterns within the same industry as well as the predominance of hidden innovators in several industries.     

Systemic aspects of R&D policy subsidies for R&D collaborations and their effects on private R&D

This paper analyses how context- and time-dependent factors determine the impact of R&D subsidies on firm behaviour with respect to private R&D expenditures. Based on German R&D survey data, we combine propensity score matching with a difference-in-difference estimator in order to measure the causal influence of public direct R&D project funding on firm behaviour. Our results indicate that (i) repeated participation in R&D projects on average leads to a higher increase in R&D expenditures than once-off funding; (ii) the aggregate effect of R&D funding on R&D expenditures of business firms is somewhat higher for business–business collaboration projects than for science–business collaboration projects; (iii) R&D expenditures of business firms that cooperate with science show a higher share of external R&D spending. Results of one particular cluster programme indicate that at least the short-term development of R&D does not so much depend on which programme direct R&D project funding is applied to.     

R&D Strategy,Metropolitan Externalities and Productivity: Evidence from Sweden

This paper studies the influence of metropolitan externalities on productivity for different types of long-run R&D engagement based on information from the Community Innovation Survey. We apply a dynamic general method of moments model to a panel of manufacturing and service firms with different locations in Sweden, classified as a metropolitan region, the largest metropolitan region, a metropolitan city, the largest metropolitan city and a nonmetropolitan area. This analysis generates three distinct results. First, the productivity premium associated with persistent R&D is close to 8 per cent in nonmetro locations and about 14 per cent in the largest city. Second, a firm without any R&D engagement does not benefit at all from the external milieu in metro areas. Third, no productivity premium is associated with occasional R&D effort regardless of the firm's location.     

Offshoring and Improvisational Learning: Empirical Insights into Developing Global R&D Capabilities

This study examines how global research and development (R&D) capabilities develop through improvisational learning. Using empirical insights from two large Swedish multinational companies and their early learning from establishing a captive R&D offshore unit in Bangalore, India, we use multicase inductive analysis to identify how companies cope with challenge related to coordinating R&D across geographically dispersed units through improvisational learning. Using a cooperative stage model analysis, we explain how improvisational learning occurs during the setup, start-up and ongoing stages of establishing captive R&D offshoring operations. We find that improvisational actions lead to developing routines as a response to solving unexpected coordination challenges and help explain how global R&D capabilities develop.     

R&D,capital structure and ownership concentration: evidence from Italian microdata

The purpose of the article is to provide some evidence on the interconnection between capital structure, R&D investment and ownership concentration using a unique panel data-set of Italian firms. We study the effect of R&D intensity on leverage for two groups of firms which are different in terms of their degree of ownership concentration. Our results suggest for Public Limited Companies, a nonlinear relationship between R&D intensity and leverage, with the latter first increasing and then decreasing. Interestingly, the same result is not found to hold true for Private Limited Companies, which are characterized by a more concentrated ownership.     

The effects of R&D subsidies and network embeddedness on R&D output: evidence from the German biotech industry

Although policy makers subsidize firms’ R&D projects to increase innovational output in an industry, region, or country, it remains unclear whether such subsidization triggers additional R&D efforts or crowds out private investments. To address this question, we assess the effectiveness of subsidization for individual and collaborative research in the German biotech industry while also examining the relevance of network embeddedness for patent output. Our results indicate that subsidies do lead to increased patent output, with additional benefits from involvement in more than one project. However, the amount of money is only significant under certain circumstances. Also, it is higher degree centrality in the firm network that significantly increases R&D success.     

R&D,worker training and innovation: firm-level evidence

Firms that invest in R&D and also in worker training are expected to be successful innovators; yet, the extent to which these investments are mutually reinforcing has not been established. This paper addresses that question by analysing the decision to innovate and the number of innovations introduced. Our findings, which are based on a sample of Spanish manufacturing firms, confirm that R&D is more effective when firms also invest in worker training. Moreover, for some smaller firms, investing in workers’ skills (via training programs) boosts innovation even in absence of R&D. Meanwhile, on-the-job training in large firms might serve mainly to reinforce the effects of R&D. Regarding the number of innovations, our result signals that a higher absorptive capacity via higher ability of qualified workers (through schooling or training) leads to improved innovation performance.     

Regional R&D Decentralization and Breakthrough Inventions: A Tale of Two Mechanisms

This study explores the relationship between regional R&D decentralization—i.e. the extent to which R&D activity is distributed among distinct firms collocated in the same geographic area and operating in the same technological domain—and the generation of breakthrough inventions. R&D decentralization might affect the chance of generating breakthrough inventions in two distinct ways. On the one hand, firms might just search in parallel along diverse technological paths, which augments the probability that at least some trajectories will lead to extremely valuable inventions. On the other hand, firms pursuing diverse paths might also exchange knowledge with each other, for instance through inventors' mobility, and such recombination possibly leads to a higher likelihood of producing breakthroughs. By assessing (a) the impact of R&D decentralization on the share of breakthrough inventions and (b) how this impact changes according to the rate of inventors' mobility in regions, this paper aims at understanding which mechanism, if any, actually operates.     

Heterogeneous Partners,R&D cooperation and corporate innovation capability: Evidence from Chinese manufacturing firms

In this paper, we examine the differential impact of cooperation with heterogeneous partners on firms' innovation capabilities. We use the number of joint patent applications of Chinese manufacturing firms from 2008 to 2018 to measure cooperation with different types of partners and the number of corporate patents to measure the innovation capability of firms. The results indicate that R&D cooperation with other enterprises, universities, and research institutions all have a significantly positive impact on the innovation capability of enterprises. However, R&D cooperation with universities or research institutions has a higher positive impact on innovation capability than that with other firms. Different internal and external factors moderate the relationship between heterogeneous partners and the innovation capability of firms. Specifically, firms with higher absorptive capacity will benefit more from R&D cooperation with corporate partners. In contrast, in industries with higher market concentration or where firms are at the technological frontier, cooperation with universities will positively impact their innovation capabilities. Further research demonstrates that absorptive capacity has a more positive moderating effect when the cooperation is between firms in the same industry, compared to R&D cooperation between firms in different industries.     

Innovation Clusters in Technological Systems: A Network Analysis of 15 OECD Countries for the Mid‐1990s

The paper aims to investigate how innovations cluster in different technological systems (TSs) when their “techno‐economic”, rather than “territorial” space, is considered. Innovation clusters of economic sectors are identified by referring to the innovation “potential” represented by their R&D expenditure and by applying social network analysis to the intersectoral R&D flows matrices of 15 OECD countries in the mid‐1990s. Different clusterization models are first tested in order to detect the way sectors group on the basis of the embodied R&D flows they exchange. Actual clusters are then mapped in the different TSs by looking for intersectoral relationships which can be qualified to constitute “reduced TSs” (ReTSs). In all the 15 TSs investigated the techno‐economic space appears organized in hierarchies, along which its constitutive sectors grouped into clusters with different density and composition. Once ReTSs are looked for, the 15 TSs display highly heterogeneous structures, but with some interesting similarity on the basis of which different clusters of TSs can be identified in turn.     

Forms and Determinants of R&D Collaborations: Evidence Based on French Data

The literature on R&D collaboration highlights a broad set of rationales for allying with other organizations. At the same time, it has been reported that there exists a large variety of forms of collaboration. Nevertheless, the relation between the motives to collaborate and the different forms of collaboration has not been examined. In this paper, we attempt to fill this gap by highlighting and explaining the heterogeneity in the forms of collaboration as a result of several interdependent simultaneous choices. Using a sample of more than 3,000 R&D collaborations, a typology of their characteristics allows us to distinguish five discrete forms of collaboration. Then using a multinomial logit estimation, we show how the forms of collaboration vary according to the firms' attributes (size, R&D internal effort, group membership), market and objectives pursued. We also obtain new results on the effects of incoming spillovers as well as appropriability conditions.     

R&D and Productivity in High-Tech Manufacturing: A Comparison between Italy and Spain

Using data for 12 manufacturing industries over the period 1980–2006, we perform for Italy and Spain a dynamic panel estimation of the long-run elasticity of total factor productivity (TFP) with respect to R&D capital. In spite of recording a level of R&D capital lower than Italian industries, the technology-based industries in Spain have experienced a similar or higher long-run impact on TFP. This is mainly attributable to what occurred from the mid-1990s onwards when, thanks to increasing R&D efforts, the Spanish industries have been able to catch up with respect to the Italian ones. These findings suggest that, also in countries classified as technology followers, R&D investment is a crucial condition for boosting manufacturing productivity.     

Determinants of internal and external R&D offshoring: evidence from Spanish firms

This paper analyses the determinants of R&D offshoring of Spanish firms using information from the Panel of Technological Innovation. We find that being an exporter, international technological cooperation, continuous R&D engagement, applying for patents, being a foreign subsidiary, and firm size are factors that positively affect the decision to offshore R&D. In addition, we find that a lack of financing is an obstacle relatively more important for independent firms than for firms that belong to business groups. For these latter, we also obtain that the factors that influence the decision to offshore R&D differ depending on whether the firm purchases the R&D services within the group or through the market: a higher degree of importance assigned to internal sources of information for innovation as compared to market sources increases (decreases) the probability of R&D offshoring only through the group (market).     

Assessing the Effectiveness of Quantitative and Qualitative Methods for R&D Project Proposal Evaluations

Abstract:

R&D project success and value is often difficult to predict at the proposal stage. Evaluation methods and their effectiveness vary considerably and are influenced by specific organizational cultures and managerial skill sets. A two-year field study examined the strength, challenges, and limitations of various R&D project evaluation and selection methods. The results suggest that for many project situations, the decision-making process must go beyond analytical methods. It should include both quantitative and qualitative measures and be linked with the internal and external support groups, as well as be strategically aligned with the enterprise. This article identifies specific managerial actions and organizational conditions for evaluating and selecting R&D proposals, aimed at optimizing future value and chances of success.     

Using multi-hub structures for international R&;D: Organisational inertia and the challenges of implementation

Abstract and Key Results

Vaccine R&D in Brazil: The effectiveness of push and pull regulations

Government regulations can guide the technological progress, investment in research and development (R&D), and institutional organization of a specific sector. In this context, using patent data, this study aimed to analyze the effectiveness of three laws that pertain to R&D in Brazilian pharmaceutical market for vaccines. The results reveal an increasing international interest in the Brazilian market since the promulgation of the Industrial Property Law. Despite its limitations, this study reveals significant efforts and promising results in Brazil with respect to ensuring that technological and industrial policies and strategies incorporate innovation in vaccine R&D and change the economy's competitive circumstances.