The R&D-growth paradox arises in fast-growing sectors

Several notions of a R&D paradox can be found in the literature. In the Swedish Paradox version, the emphasis is normally on high and growing levels of business R&D connected to comparatively low GDP growth rates. This paper examines whether this pattern is consistent over time and, more importantly, which sectors drive the aggregate patterns. Based on an investigation of the entire Swedish economy 1985-2001, there is clear evidence that the paradox occurs only in fast-growing manufacturing and service sectors. Fast-growing sectors show an increasing gap between R&D and value-added growth, while the slow-growing sectors do not. This paradox is not interpreted as a sign of failure of the national innovation system, as the largest gap would then be for the slow-growing sectors, failing to transform R&D to economic growth. The gap between R&D and GDP is consistent with the idea of diminishing marginal returns to R&D investment in high-investing sectors. The evidence does not rule out, however, that rendering the innovation system more effective could yield better outcomes. As the findings of a gap are quite consistent over time, it seems fair to conclude that businesses have good reasons for their high R&D investments, despite not being on par with their production growth.     

M&A and R&D: Asymmetric Effects on acquirers and targets?

We evaluate the impact of M&A activity on the growth of R&D spending and R&D intensity of 265 acquiring firms and 133 merger targets between 1990 and 2009. We use different matching techniques to construct separate control groups for acquirers and targets and use appropriate difference-in-difference estimation methods to single out the causal effect of mergers on R&D growth and intensity. We find that target firms substantially decrease their R&D efforts after a merger, while the R&D intensity of acquirers drops due to a sharp increase in sales.     

Technological similarity,post-acquisition R&D reorganization,and innovation performance in horizontal acquisitions

This paper aims to disentangle the mechanisms through which technological similarity between acquiring and acquired firms influences innovation in horizontal acquisitions. We develop a theoretical model that links technological similarity to: (i) two key aspects of post-acquisition reorganization of acquired R&D operations – the rationalization of the R&D operations and the replacement of the R&D top manager, and (ii) two intermediate effects that are closely associated with the post-acquisition innovation performance of the combined firm – improvements in R&D productivity and disruptions in R&D personnel. We rely on PLS techniques to test our theoretical model using detailed information on 31 horizontal acquisitions in high- and medium-tech industries. Our results indicate that in horizontal acquisitions, technological similarity negatively affects post-acquisition innovation performance and that this negative effect is not mediated by the reorganization of the acquired R&D operations. However, replacing the acquired firm's R&D top manager leads to R&D productivity improvements that positively affect innovation performance.     

A comparative evaluation of regional subsidies for collaborative and individual R&D in small and medium-sized enterprises

We analyse whether public subsidies supporting collaborative research and development (R&D) projects in small and medium-sized enterprises (SMEs) are able to encourage persistent R&D investment and interorganisational networking more than subsidies supporting individual R&D projects. Adopting a counterfactual approach to policy evaluation, we compare subsidies for collaborative R&D and for individual R&D implemented in the same Italian region in the same period. Our findings suggest that, once public support is no longer available, the two subsidies have different effects on different types of SMEs. If the policymakers’ objective is to increase the number of R&D-performing SMEs over time, they should provide subsidies for collaborative R&D to firms with modest R&D experience. If their objective is to increase the amount of spontaneous R&D investment over time, they should target SMEs with some prior R&D experience, using either subsidy. Finally, if their objective is to induce SMEs to network with external organisations, subsidies for collaborative R&D projects should be preferred to subsidies for individual R&D projects.     

Does public R&D funding crowd-in private R&D investment? Evidence from military R&D expenditures for US states

Defense R&D represents the largest component of US public R&D spending and historically has promoted a wide range of civilian innovations. However, the empirical evidence on the impact of defense R&D is scant and it does not provide conclusive results on the possible crowding-in (-out) effects on private R&D investment. Exploiting a longitudinal dataset linking public R&D obligations to private R&D expenditures for US states, we investigate the impact of defense R&D on privately-financed R&D. To address potential endogeneity in the allocation of funds, we use an instrumental variable identification strategy leveraging the differential exposure of US states to national shocks in federal military R&D. We document considerable crowding-in effects with elasticities in the 0.11–0.14 range. These positive effects extend also to the labor market, when focusing on employment in selected R&D intensive industries and especially for engineers.     

R&D synergy between local and foreign-owned enterprises in post-communist economies

This study examines how internal research and development (R&D), external knowledge acquisition, and R&D contracted with other companies interact in local and foreign-owned enterprises in post-communist economies. A large sample of firm-level data from the Business Environment and Enterprise Performance Survey (BEEPS) across 26 post-communist countries (including European Union (EU) members and non-EU states of Eastern Europe, Caucasian countries, and Central Asian countries) and country-level data from the Global Innovation Index and the International Property Rights Index were used. The findings show that enterprises with majority foreign ownership are relatively more likely to acquire external R&D. We demonstrate that the R&D behavior of enterprises with majority foreign ownership and local firms are interrelated, that is, we find a synergy effect. According to the results, decisions on internal R&D and the purchase of external knowledge for enterprises with majority foreign ownership are similar to those of local firms. However, enterprises with foreign ownership contract R&D with other companies more often if local firms conduct internal R&D. These results indicate the presence of knowledge spillover and cross-learning effects in both types of enterprises in post-communist countries. Finally, we find that the national innovation environment is not significant for the R&D intensity of enterprises with majority foreign ownership, which suggests their high dependence on the parent structures of multinational enterprises.     

Geographic dispersion and co-location in global R&D portfolios: Consequences for firm performance

We examine how the ways in which firms geographically configure their global portfolios of R&D units influence the effectiveness of firms’ own R&D investments and of external technical knowledge in enhancing firm performance. Our analysis indicates that the strength of these effects depends on the extent to which firms spread their R&D units across countries (geographic dispersion of R&D) and the extent to which firms establish multiple R&D units within each country (co-location of R&D). We show that geographic dispersion and co-location are associated with distinct value creation and value capture mechanisms and in turn lead to different performance outcomes. Although geographic dispersion enhances the effects of a firm’s own R&D on its performance, R&D co-location limits such effects. These relationships are reversed when we consider the effects of external technical knowledge on firm performance. R&D co-location, rather than geographic dispersion, is what renders the exploitation of external knowledge more effective in enhancing firm performance. Our results suggest that future research should shift its focus from the degree of R&D globalization to how a portfolio is globalized and geographically structured.     

AMC视角下多市场接触对企业研发强度的影响--基于全球医药行业的实证研究

以往对多市场接触的研究大多集中于考察多市场接触对下游产品市场竞争强度的影响，本文将研究的注意力转向上游要素市场。基于多市场接触理论和动态竞争的意识—动机—能力 (awareness-motivation-capability, AMC) 框架，探讨了多市场接触对企业研发强度的影响。对全球最大的38家制药企业2007—2016年期间的面板数据分析表明，把企业间竞争的范围延伸到上游研发市场时，多市场接触会表现出显著的竞争效应，即多市场接触会正向影响企业的研发强度，从而说明经典的相互克制效应并不适用于要素市场。此外，本文检验了多市场接触和研发强度关系的边界条件，焦点企业专利存量和现金持有比会削弱多市场接触和研发强度之间的正向关系，而销量下降产品比例会强化二者之间关系。     

Technology acquisition channels and industry performance: An industry-level analysis of Chinese large- and medium-size manufacturing enterprises

Through an industry-level analysis of Chinese large- and medium-size manufacturing enterprises over the period of 1996-2001, this article investigates the direct and interactive contributions of four technology acquisition channels to industry performances in terms of innovation performance and productivity. These channels include in-house R&D, foreign technology transfer, domestic technology transfer, and inter-industry R&D spillover. We have found evidence of an important role of inter-industry R&D spillover in shaping and improving industry performance in China, which has been neglected by previous empirical studies concerned with Chinese industrial firms. The empirical results indicate that inter-industry R&D spillover and foreign technology transfer make significant contributions to both labour productivity and the level of total factor productivity in Chinese manufacturing industries. We have also found that in-house R&D and inter-industry R&D spillover share a complementary relationship in shaping innovation performance and total factor productivity in Chinese industry, and that in-house R&D relates to foreign technology transfer as a complement for labour productivity. Finally, on the mixed results among existing literature in the context of developing countries, this article argues that the commonly followed strategy in technology development, combined with government regulations, will play an essential role in determining the relationship between in-house R&D and foreign technology transfer.     

Sources of innovation and industry-university interaction: Evidence from Spanish firms

In this paper we use a sample of Spanish innovative firms to identify the determinants of R&D cooperation agreements between five types of partners: firms that belong to the same group; customers and suppliers; competitors; universities; public research centres. We focus on the determinants of R&D cooperation between innovative firms and universities. We used the Spanish version of the Community Innovation Survey (CIS-3) to obtain data about the R&D cooperation of 4150 innovative firms in Spain. To obtain empirical evidence about the determinants of this cooperation, we adopted an integrated approach that enables us to compare the effects of sectorial and individual determinants on the choice of partners. Our results show that a firm's cooperation activities are closely linked to the characteristics of the industry and the characteristics of the firm. These include R&D intensity, size, whether the firm belongs to a group, product and process innovation, and access to public funds for R&D activities. Internal R&D and agreements with customers, suppliers and competitor partners also increase firm's propensity for R&D cooperation with universities.     

Does R&D performance decline with firm size?—A re-examination in terms of elasticity

There have been many previous studies exploring the relationship between R&D performance and firm size; however, to our knowledge, this issue has never been examined in terms of R&D output elasticity. This paper therefore sets out to re-examine the relationship of the two variables using R&D output elasticity as a measure of R&D performance. A total of 126 manufacturing firms, listed on the Taiwan Stock Exchange over the period from 1994 to 2000, are taken as the analytical sample. One practical consideration for choosing these particular firms is the relative abundance of data available for the variables for a longitudinal investigation. The estimates suggest that there is an approximating ‘U-type’ relationship between R&D productivity and firm size. This finding suggests that both large and small firms have higher R&D productivity, and even when the sample is divided into the high-tech and traditional sectors, such a finding still holds. Therefore, in contrast to the prior studies, this study shows that size offers advantage in R&D performance.     

The dynamics of R&D network in the IT industry

In this paper, we provide an empirical analysis of evolving networks of successful R&D collaborations in the IT industry (consisting of firms that obtained patents in the technological category of computers and communication) in the U.S. between 1985 and 1995. We first show that the R&D network has become more extensive, more clustered, and more unequal in the sense that ‘stars’ have emerged in the network. We then analyze the effect of the existing network structure in the process of new R&D collaboration formation. We control for unobserved similarities among firms based on the community structures within the network that the algorithm developed by Girvan and Newman (2004) identifies and find a significant cyclic closure and preferential-attachment effect.     

R＆D资本化下高新技术企业价值评估研究

本文在阐述R＆D支出是决定高新技术企业价值的主要因素之一，并在描述各国有关R＆D的会计处理原则的基础上，以“自由现金流量”模型中的主要变量：现金流量、资本回报率、预期增长率为评定指标，比较分析R＆D费用化和资本化下各评定指标的波动所导致的对企业价值增长的不同判断，最终为我国现行的R＆D支出会计处理原则提出改进建议。     

Global R&D activities of Japanese MNCs in the US: A triangulation approach

We examined 79 Japanese MNCs’ R&D subsidiaries in the US from the knowledge-based view. We found: (1) subsidiaries’ R&D strategies generally encouraged knowledge flows; (2) subsidiaries’ R&D alliances promoted knowledge flows; (3) R&D subsidiaries with process-oriented incentives promoted vertical knowledge flows; (3) autonomous R&D subsidiaries promoted knowledge flows from the local environments to the subsidiary; (4) R&D subsidiaries with a high level of knowledge flows accumulated a high level of knowledge; and (5) R&D subsidiaries with a high level of accumulated knowledge achieved high overall performance. Our interviews with 30 R&D subsidiaries and 10 parent companies supplement these findings.     

Managing open innovation projects with science-based and market-based partners

This paper examines the relationship between (outside-in) open innovation and the financial performance of R&D projects, drawing on a unique dataset that contains information on the open innovation practices, management and performance of 489 R&D projects of a large European multinational firm. We introduce two types of open innovation partnerships – science-based and market-based partnerships – and examine their relationships with project financial performance. In addition, we investigate whether the open innovation—project performance relationships are influenced by the way how R&D projects are managed. Our results show that R&D projects with open innovation partnerships are associated with a better financial performance providing that they are managed in the most suitable way. Market-based partnerships are positively correlated with project performance if a formal project management process is used; however these partnerships are associated with a lower performance for loosely managed projects. In contrast, science-based partnerships are associated with higher project revenues for loosely managed projects only.     

What determines knowledge sourcing from host locations of overseas R&D operations?: A study of global R&D activities of Japanese multinationals

What determines knowledge sourcing from host locations of overseas R&D operations? We investigate factors that influence the extent to which overseas R&D laboratories source knowledge from host locations. Drawing on both the capabilities perspective and the embeddedness perspective, we have developed a conceptual model and then examined it empirically focusing on overseas R&D labs of Japanese multinationals. Statistical findings from negative binomial regressions show that both technological capabilities of the lab and external embeddedness in the local scientific and engineering communities matter.     

Determinants of R&D cooperation in Japanese start-ups

This paper explores the determinants of R&D cooperation in Japanese start-ups. Using a sample from an original survey conducted in 2008, we examine the effects of founder-, firm-, and industry-specific characteristics on R&D cooperation by type of partners. Our findings indicate that founder-specific characteristics such as educational background, prior innovation output, and affiliation to academic associations are fairly important in determining R&D cooperation with academic institutes (universities and public research institutes). We also provide evidence that founders’ prior innovation output and work experience have positive and significant effects on R&D cooperation with business partners. With respect to firm-specific characteristics, it is found that firms investing more in R&D tend to engage in R&D cooperation, regardless of the type of partners. Furthermore, it is found that independent firms are less likely to cooperate in R&D with academic institutes than subsidiaries and affiliated firms.     

Is there complementarity or substitutability between internal and external R&D strategies?

The various strands of extant empirical research are inconclusive about the complementarity or substitutability between different innovation mechanisms, such as internal and external R&D. Using a panel sample of 83 incumbent pharmaceutical firms covering the period 1986-2000, our empirical analysis suggests that, instead of a clear-cut answer to the question of whether internal and external R&D are complementary or substitutive innovation activities, there appears to be a contingent relationship between internal and external R&D strategies in shaping a firm's innovative output. The results from our study indicate that the level of in-house R&D investments, which is characterized by decreasing marginal returns, is a contingency variable that critically influences the association between internal and external R&D strategies. In particular, internal R&D and external R&D, through either R&D alliances or R&D acquisitions, are complementary innovation activities at higher levels of in-house R&D investments, whereas at lower levels of in-house R&D efforts, internal and external R&D turn out to be substitutive strategic options.     

Behavioural additionality of R&D subsidies: A learning perspective

The use of R&D grants as a policy instrument has been motivated by economic arguments of market failure. Neo-classical econometric studies have analysed the additionality of one Euro of subsidies on both the investments of companies in the R&D process and the output of that R&D process. More recently, behavioural additionality has been launched as a third form of additionality. In contrast to input and output additionality, behavioural additionality is related to changes in the processes that take place within the firm. In this paper, we analyse the determinants of the behavioural additionality of R&D grants. To explain the mechanism through which behavioural additionality is obtained, we use organizational learning theory as a guide to formulate our hypotheses. Hypotheses are tested using a telephone survey of 192 recipients of R&D grants provided by the IWT in Flanders in 2001–2004, matched to a sample of 84 firms that undertake innovation activities but which had never had a grant bid accepted. We find that congenital learning and interorganizational learning lead to increased behavioural additionality. However, these learning effects decrease with the number of subsidized projects that are undertaken by the company.     

Estimating the causal effect of R&D subsidies in a pan-European program

We investigate the effect of Europe's largest multilateral subsidy program for R&D-performing small and medium-sized enterprises. The program applied a specific budget allocation rule, referred to as Virtual Common Pot (VCP), which is designed to avoid cross-subsidization between participating countries. This rule creates exogenous variation in funding status and allows us to identify the causal effect of public R&D grants on firm growth. In addition, we compare the program's effect under the VCP rule with the standard situation of a Real Common Pot (RCP), in which program authorities allocate a single budget according to uniform project evaluation criteria. Our estimates suggest that R&D grants had no average effect on job creation and sales growth, but treatment effects were heterogeneous and positive for high-quality projects. Under an RCP the program would have created 53% more jobs and 48% higher sales.